the work. Topics Language Data Language data portals Language data construction, acquisition and management Crowdsourcing of language data Metadata about
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SafettBehavioural SafetyBenchmarksBig DataBig Data AnalyticsBig Data ComputingBig Data ScienceBig Data SystemsBig Social DataBio-InformaticsBio-Inspired Meth
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Construction Programming Language CCC - Computational Complexity Conference Computer Science CCKS - China Conference on Knowledge Graph and Semantic Computing
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Analysis Data Mining KDD - Knowledge Discovery and Data Mining (KDD) Data Mining L@S - Learning at Scale Conference Data Mining NLPIT - Natural Language Processing
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Learning and Principles and Practice of Knowledge Discovery in Databases Machine Learning FGKDML - LWDA Workshop on Knowledge Discovery, Data Mining and Machine
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information etc.) Natural language and speech processing Generation of multimodal content Big Data and analytics Smart environments and tangible computing Intelligent
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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
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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
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Generation and Optimization Computer Science Software Engineering Programming Language Compilers Metrics EASE - International Conference on Evaluation and Assessment
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Reinforcement Learning Knowledge Representation CIKM 2019 2019-11-03 → 2019-11-07 Artificial Intelligence Information Management Big Data Knowledge Management AIAM
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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
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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
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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
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Transformation IC3K - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) CrowdRE - International Workshop
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techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from
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Macedonia (MK) Data Science Bioinformatics Bioengineering Life Science CIDOC 2023 - Frontiers of Knowledge, Museums, Documentation and Linked Data 2023-09-24 → 2023-09-28
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Symposium on Safety, Quality and Knowledge Management in Space Activities 2022 IAC IAA Symposium on Safety, Quality and Knowledge Management in Space Activities
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International Conference on Data Mining and Applications 2022-05-28 NLPML 2022 NLPML - International Conference on Natural Language Processing and Machine Learning
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construction, data lakes, large-scale analytics) Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, data wrangling)
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approaches using deep learning and traditional knowledge-based methods). Speech recognition and synthesis Spoken language understanding Spoken document
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Interaction with linked data by spoken and written natural language (see also above) Knowledge and data visualization Cognitive aspects of semantic technologies
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Scientific and Statistical Databases DATA WAREHOUSING AND KNOWLEDGE DISCOVERY § Data Warehouses, Data Marts and OLAP § Data Mining and Knowledge Discovery
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following areas: Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)
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limited to: 1. Big Data Science - Big Data Analytics - Data Science Models and Approaches - Algorithms for Big Data - Big Data Search and Information Retrieval
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Answering, and Chatbots Graph Databases and Query Languages Linked Data and Semantic Data Integration Multimodal Knowledge Graphs Contextualized Knowledge Graphs
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LRs Multilingual issues, language coverage and diversity, less-resourced languages Open, linked and shared data and tools, open and collaborative architectures
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Semantic Web and its intersection with other scientific disciplines: * Ontologies and Reasoning * Linked Data * Natural Language Processing and Information
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International Workshop on Natural Language Interfaces for Web of Data (NLIWoD) And the 8th Question Answering over Linked Data (QALD) Challenge October 21 (Saturday)
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KSE 2009 (category Natural language processing) Spoken language processing - Knowledge acquisition and knowledge management systems - Natural language processing for web, text mining Network System Engineering
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Querying and consuming Linked Open Data Natural language processing and Semantic Web Information extraction and content analysis Document clustering and classification
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Spatial Data Infrastructures/ Spatial data ecosystems Spatial Data Mining and Knowledge Discovery Spatial databases and data management Spatial Statistics
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Interest * MIR data and fundamentals: music signal processing; symbolic music processing; metadata, tags, linked data, and semantic web; lyrics and other textual
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Knowledge Integration and Language Technologies Economics of Data, Data Services and Data Ecosystems Special Track (please check appropriate topic in submission
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Physical and logical database design Data and knowledge sharing Interchange and interoperability Cooperation in heterogeneous systems Domain modeling and ontology-building
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where we consider scholarly data in the broad sense (from bibliographic data, to experimental data and software): Semantics Data models (e.g., ontologies
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LREC 2008 (category Natural language processing) �Methodologies and tools for LRs construction and annotation �?�Methodologies and tools for the extraction and acquisition of knowledge �?�Ontologies and knowledge
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annotation schemas) and computer-based processing of digital speech data. - Methods for the acquisition of lexical knowledge from digitized and linguistically
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Cloud data systems, key-value stores, and Big Data systems Information extraction and integration Streaming data analysis Scalable data analysis and analytics
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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
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acquisition knowledge representation and reasoning with conceptual structures applied conceptual structures including data mining and knowledge discovery
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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
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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
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Graphs Knowledge Integration and Language Technologies Economics of Data, Data Services and Data Ecosystems Following the success of previous years, the ‘horizontals’
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CIDOC 2023 - Frontiers of Knowledge, Museums, Documentation and Linked Data 2023-09-24 → 2023-09-28 Digital Libraries Linked Data Museum Studies Cultural
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of evolving knowledge and drifting concepts theoretical explanations of drift dynamics visualization and presentation of evolving knowledge ontology evolution
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Advanced Knowledge modeling languages and tools Knowledge capture through machine learning and knowledge discovery in data bases Specific knowledge modeling
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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
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management of imprecise and uncertain data, data warehousing, data mining and knowledge discovery, spatial and spatio-temporal databases, as well as information
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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
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Biomedical Machine Learning, Knowledge Discovery and Data Mining in Biomedical Biomedical Ontologies and Terminologies Decision Support Systems in Biomedical Neural
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(Open) Data & schema.org Corporate Knowledge Graphs Knowledge Integration and Language Technologies Data Quality Management Economics of Data, Data Services
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Information Management Knowledge Delivery Knowledge Discovery Knowledge-Based Systems Knowledge-Based Problem Solving Knowledge Life Cycle Knowledge Management Knowledge
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retrieval, Natural language processing, Social networks, Web search - Learning in knowledge-intensive systems Knowledge refinement and theory revision, Multi-strategy
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natural language processing, data mining, automatic classification, ontology, semantic web, requirements engineering, knowledge management and information
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scholarly data, i.e. representing in a semantic way, categorising, connecting and integrating scholarly data, in order to foster reusability and knowledge sharing;
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5. Collections of Knowledge and Data * Knowledge management for conceptual modelling and IRS; * Conceptual modelling in spatial and / or temporal databases
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community and an increasing number of applications in information and knowledge processing including visualization, data mining, analysis and knowledge management
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Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured
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context * Knowledge patterns and knowledge re-engineering based on patterns * Pattern-based information extraction * Problem solving methods and patterns
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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
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of Code, Natural Language based Programming Languages * Natural Language Interfaces for Data Base Querying/Retrieval: Natural Language Interfaces for Database
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limited to: DATA WAREHOUSING AND DATA MINING -------------------------------- Models and Algorithms in Data Mining Video and Multimedia Data Mining Parallel
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TIR 2009 (category Natural language processing) Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, and maintenance Software Engineering. Frameworks and architectures for retrieval
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and analysis on the Semantic Web Robust and scalable knowledge management and reasoning on the Web Machine learning and information extraction for the
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structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and representation
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subjectivity and sentiment analysis techniques Data linking through social networks based on affect-related NLP methods Impact of affective data from social
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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
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1 All topics related to: computational linguistics natural language processing human language technologies information retrieval opinion mining sentiment
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recognition and synthesis Spoken language understanding and generation Spoken document retrieval Question answering from speech Natural language processing
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Internet of things Knowledge acquisition and ontology Knowledge management Knowledge representation Linked open data Machine learning Markov networks Multimedia
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database and Web applications Big data Crowdsourcing Cloud data management Data archive and digital library Data mining Data model and query language Data
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between data streams and reasoning techniques. Theory for stream reasoning. Notion of soundness and completeness for stream reasoning. Knowledge representation
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in natural language interactions - Knowledge sharing in robotics and autonomous systems - Cognitive aspects of knowledge sharing - Multidisciplinary approaches
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ve learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization ))Big Data Algorithm Neuromorphic
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extraction). Knowledge Representation and Reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document
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theories for Knowledge Representation and Reasoning Systems o Logical methods for knowledge representation o Knowledge based systems o Knowledge Acquisition
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Retrieval, Ontologies, Natural Language Processing, and Text Mining 5.e. Data Visualization 5.f. Computational Modeling and Data Integration 5.g. Precision
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plagiarism Natural language interfaces We welcome works on processing any language (not necessarily English), though major languages are of more general
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* Intelligent business * Knowledge acquisition * Knowledge discovery * Knowledge management * Languages for AI * Learning and adaptive sensor fusion *
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(planning and argumentation), language generation (e.g. lexical choice, templates), explanation production (showing sources and inferences, reporting data incompleteness
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human knowledge and makes this knowledge machine-processable. Various automated services will help the users to achieve their goals by accessing and processing
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e-learning # Languages, tools and methodologies for representing and managing Semantic Web data # Robust and scalable knowledge management and reasoning on the
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Natural language processing - Image and video analysis - Audio, music, and speech analysis - Data and web mining - Behavior of software, systems, and networks
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IIS 2008 (category Natural language processing) computing, DNA computing, * advanced data analysis, * new machine learning paradigms, * reasoning technologies, * natural language processing, * novelty detection
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limited to: - Ontology and reasoning - Knowledge Graph - Linked Data - Big Data and semantics, exchange and integration - Data streams and the Internet of Things
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Interpretability in modelling * Kernel methods * Knowledge discovery in databases * Metadata and the design of statistical data bases * Model uncertainty, multiple
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Intelligent Scheduling Distributed AI and Agents Data Mining and Knowledge Discovering Intelligent Systems and Language Intelligent information fusion Intelligent
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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.,
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Information integration and extraction * Knowledge acquisition and ontologies * Knowledge representation and reasoning * Machine learning and data mining * Model-based
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learning and big data analytics, Knowledge discovery and data mining, Biomedical ontologies and terminologies, Biomedical knowledge acquisition and representation
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contributions on theory and practice, including but not limited to the following technical areas: Data Science Big Data Data Mining Natural Language Processing Semantic
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Natural Language Processing Data Quality Management and Assurance Explainable Artificial Intelligence Semantics in Data Science Trust, Data Privacy, and Security
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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
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Natural language processing - Neural Network Theory and Architectures - Particle swarm optimization - Robotics and related fields - Rough sets and rough
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ACL 2008 (category Natural language processing) Discourse and Pragmatics * Statistical and machine learning techniques for language processing, including o Corpus-based language modeling o Lexical and knowledge
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Database Systems: Data Warehousing, Data Mining, and Big Data Mobile and Peer-to-Peer Databases Spatial, Temporal, Multimedia, Scientific Databases Semi-Structured
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professor in Knowledge Representation and Reasoning at the Vrije Universiteit Amsterdam Management of Semantic Web Data Natural Language Processing Ontologies
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management Data semantics and data integration IoT & sensor data management Data streams and time-series data Social network analytics Data warehouse and OLAP
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Database Systems * Data Warehouses and Data Mining * Software engineering of e-business systems * Data Mining techniques * Knowledge extraction and search Knowledge
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Cognition and language: Theoretical frameworks and models The first session examines the theoretical foundations of language, language acquisition and language
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