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the work. Topics Language Data Language data portals Language data construction, acquisition and management Crowdsourcing of language data Metadata about

SafettBehavioural SafetyBenchmarksBig DataBig Data AnalyticsBig Data ComputingBig Data ScienceBig Data SystemsBig Social DataBio-InformaticsBio-Inspired Meth

Construction Programming Language CCC - Computational Complexity Conference Computer Science CCKS - China Conference on Knowledge Graph and Semantic Computing

Analysis Data Mining KDD - Knowledge Discovery and Data Mining (KDD) Data Mining L@S - Learning at Scale Conference Data Mining NLPIT - Natural Language Processing

Learning and Principles and Practice of Knowledge Discovery in Databases Machine Learning FGKDML - LWDA Workshop on Knowledge Discovery, Data Mining and Machine

information etc.) Natural language and speech processing Generation of multimodal content Big Data and analytics Smart environments and tangible computing Intelligent

Linked Data ISWC 2018 2018-10-08 → 2018-10-12 Linked Data JIST 2017 2017-11-10 → 2017-11-12 Linked Data 2nd Workshop on Linked Data in Robotics and Industry

High Performance Computing Big Data Data Analytics Big Data for Health 2016 2016-08-11 → 2016-08-11 Data Science Big Data Health Medicine BigComp Workshop

Generation and Optimization Computer Science Software Engineering Programming Language Compilers Metrics EASE - International Conference on Evaluation and Assessment

Reinforcement Learning Knowledge Representation CIKM 2019 2019-11-03 → 2019-11-07 Artificial Intelligence Information Management Big Data Knowledge Management AIAM

2017-05-22 → 2017-05-24 Data Mining Information Retrieval Big Data Text Mining EACL SRW 2017 2017-04-03 → 2017-04-07 Artificial Intelligence Natural Language Processing

Management Knowledge Management RelMiCS-AKA 2009 2009-11-01 → 2009-11-05 Database DaWaK 2009 2009-08-31 → 2009-09-04 Database Data Warehousing Knowledge Discovery

Natural Language Processing CLEF 2022 2022-09-05 → 2022-09-08 Natural Language Processing CLEF 2021 2021-09-21 → 2021-09-24 Natural Language Processing

Transformation IC3K - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) CrowdRE - International Workshop

techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from

Macedonia (MK) Data Science Bioinformatics Bioengineering Life Science CIDOC 2023 - Frontiers of Knowledge, Museums, Documentation and Linked Data 2023-09-24 → 2023-09-28

Symposium on Safety, Quality and Knowledge Management in Space Activities 2022 IAC IAA Symposium on Safety, Quality and Knowledge Management in Space Activities

International Conference on Data Mining and Applications 2022-05-28 NLPML 2022 NLPML - International Conference on Natural Language Processing and Machine Learning

construction, data lakes, large-scale analytics) Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, data wrangling)

approaches using deep learning and traditional knowledge-based methods). Speech recognition and synthesis Spoken language understanding Spoken document

Interaction with linked data by spoken and written natural language (see also above) Knowledge and data visualization Cognitive aspects of semantic technologies

Scientific and Statistical Databases DATA WAREHOUSING AND KNOWLEDGE DISCOVERY § Data Warehouses, Data Marts and OLAP § Data Mining and Knowledge Discovery

following areas: Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)

limited to: 1. Big Data Science - Big Data Analytics - Data Science Models and Approaches - Algorithms for Big Data - Big Data Search and Information Retrieval

Answering, and Chatbots Graph Databases and Query Languages Linked Data and Semantic Data Integration Multimodal Knowledge Graphs Contextualized Knowledge Graphs

LRs Multilingual issues, language coverage and diversity, less-resourced languages Open, linked and shared data and tools, open and collaborative architectures

Semantic Web and its intersection with other scientific disciplines: * Ontologies and Reasoning * Linked Data * Natural Language Processing and Information

International Workshop on Natural Language Interfaces for Web of Data (NLIWoD) And the 8th Question Answering over Linked Data (QALD) Challenge October 21 (Saturday)

Spoken language processing - Knowledge acquisition and knowledge management systems - Natural language processing for web, text mining Network System Engineering

Querying and consuming Linked Open Data Natural language processing and Semantic Web Information extraction and content analysis Document clustering and classification

Spatial Data Infrastructures/ Spatial data ecosystems Spatial Data Mining and Knowledge Discovery Spatial databases and data management Spatial Statistics

Interest * MIR data and fundamentals: music signal processing; symbolic music processing; metadata, tags, linked data, and semantic web; lyrics and other textual

Knowledge Integration and Language Technologies Economics of Data, Data Services and Data Ecosystems Special Track (please check appropriate topic in submission

Physical and logical database design Data and knowledge sharing Interchange and interoperability Cooperation in heterogeneous systems Domain modeling and ontology-building

where we consider scholarly data in the broad sense (from bibliographic data, to experimental data and software): Semantics Data models (e.g., ontologies

�Methodologies and tools for LRs construction and annotation �?�Methodologies and tools for the extraction and acquisition of knowledge �?�Ontologies and knowledge

annotation schemas) and computer-based processing of digital speech data. - Methods for the acquisition of lexical knowledge from digitized and linguistically

Cloud data systems, key-value stores, and Big Data systems Information extraction and integration Streaming data analysis Scalable data analysis and analytics

create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing

acquisition knowledge representation and reasoning with conceptual structures applied conceptual structures including data mining and knowledge discovery

Mining Complex Data - MCD'08 - In Conjonction with IEEE Int. Conf. on Data Mining 2008 Pisa, Italy, 15th Dec. 2008 Data mining and knowledge discovery can

relevant issues, and especially encourage authors to provide a deep analysis of data and results. Papers will be limited to 8 pages and will be selected

Graphs Knowledge Integration and Language Technologies Economics of Data, Data Services and Data Ecosystems Following the success of previous years, the ‘horizontals’

CIDOC 2023 - Frontiers of Knowledge, Museums, Documentation and Linked Data 2023-09-24 → 2023-09-28 Digital Libraries Linked Data Museum Studies Cultural

of evolving knowledge and drifting concepts theoretical explanations of drift dynamics visualization and presentation of evolving knowledge ontology evolution

Advanced Knowledge modeling languages and tools Knowledge capture through machine learning and knowledge discovery in data bases Specific knowledge modeling

WORKSHOP: PRIOR KNOWLEDGE FOR TEXT AND LANGUAGE PROCESSING 9 July 2008, Helsinki, in conjunction with the ICML/UAI/COLT Web page: http://prior-knowledge-language-ws

management of imprecise and uncertain data, data warehousing, data mining and knowledge discovery, spatial and spatio-temporal databases, as well as information

create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing

Biomedical Machine Learning, Knowledge Discovery and Data Mining in Biomedical Biomedical Ontologies and Terminologies Decision Support Systems in Biomedical Neural

(Open) Data & schema.org Corporate Knowledge Graphs Knowledge Integration and Language Technologies Data Quality Management Economics of Data, Data Services

Information Management Knowledge Delivery Knowledge Discovery Knowledge-Based Systems Knowledge-Based Problem Solving Knowledge Life Cycle Knowledge Management Knowledge

retrieval, Natural language processing, Social networks, Web search - Learning in knowledge-intensive systems Knowledge refinement and theory revision, Multi-strategy

natural language processing, data mining, automatic classification, ontology, semantic web, requirements engineering, knowledge management and information

scholarly data, i.e. representing in a semantic way, categorising, connecting and integrating scholarly data, in order to foster reusability and knowledge sharing;

5. Collections of Knowledge and Data * Knowledge management for conceptual modelling and IRS; * Conceptual modelling in spatial and / or temporal databases

community and an increasing number of applications in information and knowledge processing including visualization, data mining, analysis and knowledge management

Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured

context * Knowledge patterns and knowledge re-engineering based on patterns * Pattern-based information extraction * Problem solving methods and patterns

2023-08-28 → 2023-08-30 Big Data Analytics Knowledge Discovery DaWaK 2022 2022-08-22 → 2022-08-24 Big Data Analytics Knowledge Discovery DEXA 2022 2022-08-22 → 2022-08-24

of Code, Natural Language based Programming Languages * Natural Language Interfaces for Data Base Querying/Retrieval: Natural Language Interfaces for Database

limited to: DATA WAREHOUSING AND DATA MINING -------------------------------- Models and Algorithms in Data Mining Video and Multimedia Data Mining Parallel

Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, and maintenance Software Engineering. Frameworks and architectures for retrieval

and analysis on the Semantic Web Robust and scalable knowledge management and reasoning on the Web Machine learning and information extraction for the

structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and representation

subjectivity and sentiment analysis techniques Data linking through social networks based on affect-related NLP methods Impact of affective data from social

Technology A-07 Natural Language Learning A-08 Natural Language Generation A-09 Natural Language Understanding A-10 Evaluation of Natural Language Systems A-11 Lexical

1 All topics related to: computational linguistics natural language processing human language technologies information retrieval opinion mining sentiment

recognition and synthesis Spoken language understanding and generation Spoken document retrieval Question answering from speech Natural language processing

Internet of things Knowledge acquisition and ontology Knowledge management Knowledge representation Linked open data Machine learning Markov networks Multimedia

database and Web applications Big data Crowdsourcing Cloud data management Data archive and digital library Data mining Data model and query language Data

between data streams and reasoning techniques. Theory for stream reasoning. Notion of soundness and completeness for stream reasoning. Knowledge representation

in natural language interactions - Knowledge sharing in robotics and autonomous systems - Cognitive aspects of knowledge sharing - Multidisciplinary approaches

ve learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization ))Big Data Algorithm Neuromorphic

extraction). Knowledge Representation and Reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document

theories for Knowledge Representation and Reasoning Systems o Logical methods for knowledge representation o Knowledge based systems o Knowledge Acquisition

Retrieval, Ontologies, Natural Language Processing, and Text Mining 5.e. Data Visualization 5.f. Computational Modeling and Data Integration 5.g. Precision

plagiarism Natural language interfaces We welcome works on processing any language (not necessarily English), though major languages are of more general

* Intelligent business * Knowledge acquisition * Knowledge discovery * Knowledge management * Languages for AI * Learning and adaptive sensor fusion *

(planning and argumentation), language generation (e.g. lexical choice, templates), explanation production (showing sources and inferences, reporting data incompleteness

human knowledge and makes this knowledge machine-processable. Various automated services will help the users to achieve their goals by accessing and processing

e-learning # Languages, tools and methodologies for representing and managing Semantic Web data # Robust and scalable knowledge management and reasoning on the

Natural language processing - Image and video analysis - Audio, music, and speech analysis - Data and web mining - Behavior of software, systems, and networks

computing, DNA computing, * advanced data analysis, * new machine learning paradigms, * reasoning technologies, * natural language processing, * novelty detection

limited to: - Ontology and reasoning - Knowledge Graph - Linked Data - Big Data and semantics, exchange and integration - Data streams and the Internet of Things

Interpretability in modelling * Kernel methods * Knowledge discovery in databases * Metadata and the design of statistical data bases * Model uncertainty, multiple

Intelligent Scheduling Distributed AI and Agents Data Mining and Knowledge Discovering Intelligent Systems and Language Intelligent information fusion Intelligent

building large-scale knowledge graphs: Knowledge graph population. Given the name and type of a subject entity, (e.g., a company) and a relation, (e.g.,

Information integration and extraction * Knowledge acquisition and ontologies * Knowledge representation and reasoning * Machine learning and data mining * Model-based

learning and big data analytics, Knowledge discovery and data mining, Biomedical ontologies and terminologies, Biomedical knowledge acquisition and representation

contributions on theory and practice, including but not limited to the following technical areas: Data Science Big Data Data Mining Natural Language Processing Semantic

Natural Language Processing Data Quality Management and Assurance Explainable Artificial Intelligence Semantics in Data Science Trust, Data Privacy, and Security

teams will have access to the development and training data. Later, the unlabeled test data will be provided and the teams have to submit the results within

Natural language processing - Neural Network Theory and Architectures - Particle swarm optimization - Robotics and related fields - Rough sets and rough

Discourse and Pragmatics * Statistical and machine learning techniques for language processing, including o Corpus-based language modeling o Lexical and knowledge

Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured

professor in Knowledge Representation and Reasoning at the Vrije Universiteit Amsterdam Management of Semantic Web Data Natural Language Processing Ontologies

management Data semantics and data integration IoT & sensor data management Data streams and time-series data Social network analytics Data warehouse and OLAP

Database Systems * Data Warehouses and Data Mining * Software engineering of e-business systems * Data Mining techniques * Knowledge extraction and search Knowledge

Cognition and language: Theoretical frameworks and models The first session examines the theoretical foundations of language, language acquisition and language

Information Retrieval - Natural Language Processing - Digital Libraries - Data and Information Quality Management - Data Grids, Data and Information Quality - Database

opportunity for academic researchers and industrial practitioners at all level of experience to share ideas and knowledge of and discuss all issues, including

limited to: Ontology and reasoning Knowledge graph Linked Data Big Data and semantics, exchange and integration Data streams and the Internet of Things

knowledge extraction: natural language processing, mining and crowd sourcing techniques Service and BP versioning and adaptation Service and BP mining

Vincenzo Piuri) o Language and speech processing o Knowledge representation and reasoning o Soft computing o Knowledge discovery and data mining o Machine

modelling and design methodologies Enterprise, business and technological process modelling Data warehouse and multidimensional modelling, analysis and mining

Systems and Information Processing Decision Support Database and Information Systems Information Retrieval and Fusion Speech and Natural Language Processing

Evolutionary Scheduling and Optimisation Rough Sets Theory: Foundations and Applications Data Mining Artificial Intelligence in Scheduling and Optimization Artificial

variation and non-standard or non-contemporary use of language * Knowledge discovery from CH and SHE data * Knowledge representation in CH and SHE * Linking

limited to: 1. AI and Big Data Analytics: Artificial intelligence, Knowledge Representation, Machine Learning, Uncertainty. Big data, Data Mining, Information

Biomedical Information Processing Knowledge Representation and Reasoning Data Mining & Big Data Information System Engineering Knowledge Management System Engineering

Real-time/right-time data warehousing - DW and OLAP for stream and sensor data - Spatial and spatio-temporal data warehouses - Data warehousing and OLAP in mobile/wireless

both scientists and database curators, the ability to automatically and effectively mine image data is becoming increasingly critical – and draws much interest

solving Knowledge discovery Knowledge representation Knowledge acquisition Knowledge-intensive problem solving techniques Knowledge networks and management

participatory work practices and collaboration tools be orchestrated in the design of the standards, data models and ontologies that underpin data-driven Web applications

Personalization and User Modeling * Semantics in P2P Computing and the Grid * Semantic Web-based Knowledge Management * Semantic Web, Multimedia, and Human Computer

Generation sub-task(s) -data collection and preparation -representation language(s) for the input and output data -annotation schemes and processes -forms of

resources; (ii) the way the data and knowledge are represented; (iii) the way the data are interrelated in the resource and between resources; (iv) the

processing, and multi-media Temporal data analysis, prediction, and forecasting; time series analysis Communications and computer networks Data mining and knowledge

- Computer vision - Data mining and data analysis - Data semantics - Dialogue management and argumentation - Distributed AI - AI and Human-computer interaction

topics: Connecting digital libraries exploring semantic web and linked data data mining and extraction of structure from networked information multilingual

participatory work practices and collaboration tools be orchestrated in the design of the standards, data models and ontologies that underpin data-driven Web applications

frameworks and APIs Lightweight implementations of RDF repositories, query languages, and reasoning engines Semantic Web publishing and data syndication

Information Retrieval Data Grids, Data and Information Quality Big Data Management Temporal and Spatial Databases Data Warehouses and Data Mining Web Mining

Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Graph, Temporal Databases Multimedia, Scientific Databases

Engineering Intelligent Mechatronics and Robotics Systems: Control, Perception and Recognition, Sensing and Sensor Data Fusion, Intelligent Sensors, Intelligent

Ontology Learning from the Web Linked Data Mining Information Extraction and Knowledge Discovery from Big Data Mining and Information Extraction from the Deep

applications consuming Semantic Web data and understand the pros and cons of a strictly formal approach to modeling data versus a "scruffier" approach where

multi-sourced urban informatics data 5.Knowledge and non-obvious relation extraction across multiple social media data sources for urban analytics 6.Handling

integration solutions. IMAGE, LANGUAGE, AND SPEECH PROCESSING: Language and speech processing, human-computer interface and interaction, multimedia, image

the design and implementation of logic based programming languages and database systems, and researchers who work in the areas of knowledge representation

creation and co-creation Business compliance Workflow management Semiotics & Knowledge Management Linked data Semantic Web methods and languages Ontology

on information security and cryptology, to contribute to increase the accumulation of scientific knowledge in this field, and to enhance cooperation among

include: Adaptive Systems AI and Creativity AI Architectures Artificial Life Autonomous Systems Data Mining and Knowledge Discovery Hybrid Intelligent

Agent-based and Multi-agent Systems Machine Learning Machine Learning and Data Mining Frontiers of Artificial Intelligence Web and Knowledge-based Information

Technologies and Applications (ICAITA 2017) is an international forum for sharing knowledge and results in theory, methodology and new advances and research

temporal data models and query languages - temporal query processing and indexing - temporal data mining - time series data management - stream data management

that employ techniques from machine learning; * Models of language change and its effect on language acquisition or vice versa; * Models that employ stati

the largest and fastest growing online sources of encyclopedic knowledge. One of the reasons why Wikipedia is appealing to contributors and users alike

high-throughput "omics" data, life science has come to the era of "big data". To extract biological knowledge from the data, and translate it into benefits

libraries, metadata, data mining, user modelling, social networks, psychology and cognitive science, etc.) to share their knowledge, results and expertise about

following areas: Knowledge Acquisition and Management Machine Learning, Knowledge Discovery and Data Mining Biomedical Ontologies and Terminologies Decision

Content retrieval and filtering hidden Web search and crawling data integration from Web information sources modeling and describing evolving data sources adaptive

Analysis of Multimedia Knowledge assisted multimedia analysis Content-based multimedia analysis linked with natural language and speech processing Semantic

laboratory-on-a-chip, and watermarking medical data. PURPOSE The IASTED International Conference on Imaging and Signal Processing in Healthcare and Technology (ISPHT

Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured

Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured

Content retrieval and filtering hidden Web search and crawling data integration from Web information sources modeling and describing evolving data sources adaptive

generation/learning * Building/utilizing ontologies and knowledge bases * Semantics and ontologies in data integration * Ontology-enabled search (engines)

Alexandra Olteanu Chenhao Tan Data Chair Fabricio Benevenuto Claudia Wagner Data & Data Challenge Chair Yelena Mejova Data Challenge Chair Surya Kallumadi

theory; concurrency; constraints; data exchange; data integration; data mining; data modeling; data on the Web; data streams; data warehouses; distributed databases;

Networks Data Fusion Expert Systems Fuzzy Logic and Systems Machine Learning Reasoning Methods Genetic Algorithms Knowledge Engineering Data Mining & Information

Programming Applications: Databases Data Integration and Federation Software Engineering Natural Language Processing Web and Semantic Web Agents Artificial

methods and indexing Authorization, Privacy and Security Concurrency Control and Recovery Data Mining and Knowledge Discovery Data Semantics Data Visualization

limited to: Ontology and reasoning Knowledge Graphs Linked Data Big Data and semantics, exchange and integration Data streams and the Internet of Things

aspects of language acquisition, and their interaction with each other * Computational models of the evolution of language * Data resources and tools for

especially when the target language is English. But these Data-driven MT systems base their knowledge on aligned bilingual corpora, and the accuracy of their

optimization Data mining and knowledge discovery Data and information flow engineering and management Big data storage, replication, and consistency Context-aware

Mining & Knowledge Management (DMKM) Game Theory and Economic Paradigms (GTEP) Human-Computation and Crowd Sourcing (HCC) Humans and AI (HAI) Knowledge Representation

Centered Capabilities & Interaction   * Language engineering,   * Speech recognition,   * Knowledge discovery and data visualization,   * Human abilities/skills

Evolutionary Scheduling and Optimisation - Rough Sets Theory: Foundations and Applications - Data Mining - Artificial Intelligence in Scheduling and Optimization

for Big Data Intelligence Data Warehouses, Data Lakes Big Data Storage and Indexing Big Data Analytics: Algorithms, Techniques, and Systems Big Data Quality

regarded as a hypothesis and what is sought is to better describe the language through some automatically learned rules. Both formal and empirical grammatical

- Intelligent Interaction - Knowledge Management - Knowledge Representation - Ontology and semantic web - Natural Language Processing - Perception (vision

optimization Privacy and security Security, trust and risk in big data Data integrity, matching and sharing Privacy and protection standards and policies Privacy

Communications Modelling and Simulation Distributed Real-Time Systems Distributed Databases Distributed Knowledge-based Systems Data Mining Data Warehousing Operating

Interface Agents - Knowledge-based Systems - Knowledge Extraction - Knowledge Management and Sharing - Knowledge Representation and Reasoning - Machine

Technologies: Natural language processing Data mining and machine learning Knowledge representation and reasoning Semantic web technologies and standards Social

African and Other Under-Resourced/Low-Density Languages, including knowledge and data-driven methods and their combinations 2.Practical Aspects and Experience

detection in general, in Web communities and social networks, and cross-language plagiarism - identifying near-duplicate and versioned documents of all kinds:

Non-relational, and other Modern Data Models Information Integration and Data Quality Data Cleaning, Data Discovery and Data Exploration Heterogeneous and Federated

question answering and information retrieval. Dialogue Systems Open domain, task oriented dialogue and chat systems. Knowledge graphs and dialogue. Dialogue

Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, and maintenance - Software Engineering. Frameworks and architectures for

restricted to machine learning and data mining, machine vision, natural language processing, reasoning, ontologies and the semantic web. Imagine for example:

modeling and algorithms Patterns and frameworks Data visualization Knowledge systems and engineering Knowledge acquisition Knowledge-based and expert systems

Mining text and semi-structured data, and mining temporal, spatial and multimedia data - Mining data streams - Mining spatio-temporal data - Mining with

Interface agents Knowledge Acquisition Knowledge-Based and Expert Systems Knowledge Representation and Retrieval Knowledge Engineering Tools and Techniques Knowledge

Intelligent database systems Knowledge Engineering Neural net and support vector machine Hybrid and nonlinear system Big data Data mining Signal processing

Image Quality Image Data Management Software Languages and Tools for Imaging Animation Computer Animation Artificial Intelligence and Animation Virtual Humans

formalisms and deduction processes; * hybrid methods for deduction, resolution and constraint propagation; * hybrid systems in knowledge representation and natural

Architectures: from virtual to adaptive Data Center and Data Management: from efficiency to green computing For more information and submission guidelines, please

Internet, Law, Music, etc.) - Knowledge Acquisition - Knowledge Representation and Reasoning - Knowledge Engineering - Natural Language Processing - Speech Processing

analytics real-time Big Data analysis data models for Big & Smart Data business models for Big & Smart Data semantic web applications data and information quality

motivation and affect; Adaptive question-answering Intelligent Technologies: Natural language processing; Data mining and machine learning; Knowledge representation

standards and guidelines for programming language are well established and can be enforced through tools. For modelling tools a similar standards and guidelines

databases and knowledge representation graph databases and (semantic) Web data data mining, information extraction, search data streams data-centric (business)

of Data Semantic Web Trust, Privacy, Security and Intellectual Property Rights Query Languages and Optimization for the Semantic Web Rule Languages for

crucial for performing several knowledge management tasks, such as data summarization, data indexing, cluster discovery and many others. However, performing

resourced languages Languages’ Data-processing standards Language E-learning Development of linguistic tools and resources (text/speech) Knowledge discovery

with Linked Data Search, query, integration, and analysis on Linked Data Integration and mash-up of Linked Data Mining of Linked Data Big Data and Semantics

Business Processes and Web Services Web‐based Enterprise Systems Web Big Data Techniques and Mining Web Data Integration and Mashups Web Data Models Web engineering

etc. Methods for knowledge graph and data cleansing and completion Knowledge graph curation and quality Real-time validation of knowledge graphs Trustworthiness

statistical natural language processing. Annotation encodes human knowledge about linguistic phenomena that can be modelled statistically and reproduced by automatic

for papers and participation The 4th LANGUAGE AND TECHNOLOGY CONFERENCE: Human Language Technologies as a Challenge for Computer Science and Linguistics

addresses data, knowledge, software engineers and users in the IT departments of research facilities, libraries, archives, information suppliers and other

tools for vast and unstructured data. ICWSM, now in its twelfth year, has become one of the premier venues for computational social science, and previous years

Tasks and data sets ** Small annotated data sets are available on the workshop page. Participants are invited to apply their computational models and conduct

computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing

Web Data Extraction, Web Structure Mining -- Formal Models for Web Data and Knowledge Management: Data Models and Meta-data, Semi-structured Data and XML

Informatics, Knowledge representation, Linguistics, Logic, Mathematics, Mental simulation, Molecular biology, Multiagent systems, Natural Language Processing

modeling and algorithms Patterns and frameworks Data visualization Knowledge systems and engineering Knowledge acquisition Knowledge-based and expert systems

Control Data Security Digital Watermarking Identification and Certification C. Signal Processing C.1 Algorithms and Techniques Architecture and Implementation

Processing Data Mining and Knowledge Discovery: Algorithms and Applications Systems, Performance, Transaction Processing Data Models and Languages Data Integration

Acquisition of rules and ontologies by knowledge extraction * Combining open and closed-world reasoning * Combining rules and ontologies * Design and analysis of

transportation data; * Mining census and GIS data; * Mining meteorological data; * Spatial or temporal data mining for medical and biological data; WORKSHOP

Agents and Web Intelligence * Web Data Integration * Web Data Mashup * Web Data Models * Web Information Retrieval * Web Metrics * Web Mining and Web Warehousing

Impact and evaluation of DL Use and re-use of digital data Data mining Multilingual IR User behavior and modeling Big Data semantics, search and mining

in Western languages, but by semantic radicals and stroke counts in Chinese. The way how words and concepts are organized affects indexing and access. Indexing

of Linked Data, Open Data, Big Data and user-generated metadata; • Digital Interconnectedness – the what, why and how of Linked Open Data and the Semantic

Management; * Data Warehousing, Data Mining, and Business Intelligence; * E-Learning, E-Business, E-Government, and * Other Advanced and Cross-Disciplinary

Clustering and Applications Computer Vision, Cognitive and Humanoid Vision Databases, Data Mining, Intelligent Data Analysis, Knowledge-based Systems and Linguistic

Software Science and Computation Structure (FOSSACS) 2019 categorical models and logics; language theory, automata, and games; modal, spatial, and temporal logics;

(Discovery of processes and their interactions from data and domain knowledge), Paolo Torroni (Declarative technologies for open agent systems and beyond) PAPER

information retrieval (IR) in effective goal-directed search and evaluation, and the insights of knowledge management (KM) to get grips on the greater whole. The

Resource Service Knowledge complexity and metrics Knowledge management Knowledge representation/reasoning Knowledge verification/validation Logistics Management

but are not limited to: ALGORITHM AND PROTOCOL �?� Cross-layer design �?� Data aggregation �?� Distributed algorithms and complexity analysis �?� Localization

following: * Algorithms and Bioinformatics * Computer Architecture and Real Time Systems * Database and Data Mining * Dependable, Reliable and Autonomic Computing

implementations of data mining algorithms Privacy- and anonymity-preserving data analysis Stream Data Mining Mining moving object data, RFID data, and data from sensor

Big Data Big Data Semantics and Knowledge Organization Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open

techniques for data integration; * Distributed and Peer to Peer data integration systems; * Ambient intelligence and data integration; * Cooperative data integration

XML and Web data * Semi-structured data management * Web Information Extraction * Information retrieval in semi-structured data and the Web * Data integration

approaches; query languages; query optimization; real-time data; recovery; scientific data; security; semi-structured data; spatial data; temporal data; transactions;

heterogeneous data integration. The workshop will particularly focus on ontology mediation techniques and ontology based data integration. As the Web of data is now

on the Web, and furthermore to investigate alternative reasoning methods, which take incompleteness and distribution of data and knowledge as inherent

Provenance Data Models and Query Languages Data Streams and Publish-Subscribe Systems Data Structures and Indexing Data Warehousing, OLAP, and ETL Tools Data

modeling and forecasting » data analytics and visualization » social networks mining and analysis » Data management and web engineering » fuzzy data modeling

is a highly visible and respected forum for exchanging experience and knowledge related to computer graphics hardware, software, and systems. The event

Tracking · Face and Gesture Recognition · Biometrics · Image and Semantics Visualization and HMI (Human-Machine Interfaces) · Scientific and Mathematical

unstructured data and semi-structured data (e.g., XML) * Multimedia data warehouses * Biomedical data warehouses * Data warehousing & OLAP in mobile and wireless

following: Benchmarking and performance evaluation Crowd sourcing Data models, semantics, query languages Data provenance Data visualization Data warehousing, OLAP

tools * Ontology-based data transformation and data migration tools. * Domain specific heterogeneity analysis between data structures and ontologies * Ontology-based

to: * Data integration and interoperability * Data management for ubiquitous and mobile computing * Data mining and information extraction * Data modelling

Learning and Knowledge Reconstruction and Discovery: Machine Learning Deep Learning Data Mining Process Mining Data Analytics Topic 3: Semantic Web and Linked

on the Web, and furthermore to investigate alternative reasoning methods, which take incompleteness and distribution of data and knowledge as inherent

of Web Archives Data science techniques and digital libraries Semantic Web, linked data and metadata technologies Ontologies and knowledge organization systems

contributions focusing on domain knowledge and practical /industrial experience, are both welcome. Particularly, software and data integration solutions in the

Computational Learning Theory and Knowledge Discovery Cryptography, Reliability and Security, and Database Theory Computational Biology and Bioinformatics Computational

Authoring tools and assessment tools. Modeling and representation: Models of learners, facilitators, tasks and problem-solving processes. Knowledge representation

Software Science and Computation Structure (FOSSACS) 2018 categorical models and logics; language theory, automata, and games; modal, spatial, and temporal logics;

services and data on the Web have typically focused on Description Logic (e.g., OWL DL) and Rule-based (RIF, RuleML) approaches and languages. In this

information sources * Data source classification and clustering * Data cleansing, data preparation, data/pattern selection, conflict and inconsistency resolution

technologies for second-language learners * Psycholinguistics and speech science (both production and comprehension) * Machine transliteration and back-transliteration

to semantic and pragmatic information and communication; cognitive aspects of grammar and their impact on parsing. Knowledge-based and data-driven approaches

Semi-Structured Data and XML: data modelling, data processing, data compression, data exchange; Social Computing: collective intelligence and self-organizing

adaptive learning objects and environments * Design and development of content-based novel techniques; * Data mining and Pattern Recognition in e-learning

the Spatial and Temporal Context * Aspects of Mobile Computing and Sensor Networks * Data and the Web * Data Mining, Knowledge Discovery and Stream Databases

mining and knowledge discovery - visualization with augmented reality and virtual reality - visualizing multi-dimensional data, textual data, multimedia

Access and Retrieval IAR Intelligent Robotics and Multi-Agent Systems IRMAS Internet of Things IoT Knowledge Extraction from Geographical Data KEGeoD Knowledge

design knowledge: patterns and reference architectures modeling languages for agents and MAS testing of agent-based software fault tolerance and load balancing

Complexity and performance; Constraint databases; Data exchange, data integration and interoperability; Data mining; Data models; Database programming and query

Ontologies for mobile and ubiquitous computing * Mobile and ubiquitous data management and processing * Data replication, migration and dissemination in ubiquitous

Intelligence * Autonomous Knowledge and Information Agents - Agent-Based Distributed Data Mining - Agent-Based Knowledge Discovery And Sharing - Autonomous

relevant features for coreference resolution - Studies of knowledge sources for coreference resolution and strategies for inferring useful linguistic cues - ML

image and video retrieval throughout the world, it is now a reference event in the field where researchers and practitioner exchange knowledge and ideas

Management of Semantic Web Data and Linked Data . - Robust and scalable knowledge management and reasoning on the Web . - Languages, tools, and methodologies for

figures and about the authors’ affiliations and research institutions, and fundings source. The task mainly requires PDF mining techniques and some NLP

Recommendation, reputation, and trust systems o Advertising and marketing technology o Sponsored web search, viral marketing o Databases and data mining o Machine

limited to: DISTRIBUTED SOFTWARE SYSTEMS AND APPLICATIONS Applications Compilers and Run Time Support Data Mining Data Warehousing Distributed Agents Distributed

Programming languages/models for multicore software * Compilers for parallelism * Testing and debugging parallel applications * Parallel algorithms and data structures

digital technologies. Information and Data Management Data and Network mining Intelligent agent-based systems, cognitive and reactive distributed AI systems

Algorithms and Applications 3-01 Parallel/distributed algorithms 3-02 Task mapping and job scheduling 3-03 Distributed data and knowledge based systems

Retrieval * Heterogeneous Distributed Data Integration and Organization * Resource Selection and Query Routing * Indexing and Retrieval of Dynamic information

ideas, and for shaping knowledge and scientific achievements by bridging these two very important and complementary disciplines into an interactive and attractive

applications Linked Open Data Semantic reasoning about business data Search, query, analysis, and integration of business data Business Services and Process Management:

Algorithms Data Mining and Knowledge Discovery Artificial Intelligence Digital Signal Processing Biomedical Engineering Expert Systems Bioinformatics and Geoinformatics

Cyber law and Intellectual Property - Data Mining - ePublishing and Digital Libraries - Human Computer Interaction - Information Search and Retrieval -

excepting word processing and electronic mail — and from those methodological studies linked to it. Nonetheless, information and communication technologies

new ideas, sharing results and experiences, and networking with researchers and practitioners from academia, industry, and government. Important Dates

provisioning Creation and consumption of social network contents Data models and query languages Dependency and reliability Developing and managing Web2.0 services

invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an

transactions and scenarios - Real-time Internet E-Services - Reliability and security of content and data - Reliable auction, e-procurement and negotiation

architecture and design Software product line engineering Software visualization Software security and trust; data privacy Testing, verification, and validation

Acronym ESEC/FSE 2020 Title ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering Event Series Event Series:ESEC/FSE2

Hendler and Ora Lassila, thanks to the conjunction of both academic and industrial efforts, many theoretical results have been produced, languages and technologies

Multisensor Data Fusion Architectures and VLSI hardware Programmable signal processors Algorithms and applications mappings Design methology and CAD tools

Architecture and design Aspect-orientation Autonomic computing and (self-)adaptive systems Big data Cloud computing Components, services, and middleware

avatars, and complex reactive characters Motion capture for composition and streaming of behaviors and expressions HTML5 3D, WebGL, glTF and other languages

systems, and declarative agent languages and technologies. EMAS 2019 aims to gather researchers and practitioners working in these areas to present and discuss

cross-fertilisation of ideas and experiences in the various fields to: Enhance knowledge and expertise in MAS engineering and improve the state or-the art;

environments · Semantics and knowledge discovery, representation and merging for workflow management in grid environments · Real-world scientific and business applications

Integration and Management (IJBPIM) , and the International Journal of Grid and Utility Computing (IJGUC) . Both the ICWS Proceedings and JWSR are included

partners, deal with highly distributed and dynamic operational data that is used in multiple contexts and processes, and ever changing compositions of information

Synchronization, concurrent algorithms, shared and transactional memory - Design and analysis of concurrent and distributed data structures - Communication networks

workshops, and tutorials on theory and practice. Its drive is to convene a high quality, well-attended, and up-to-date conference on scientific and technical