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technological or managerial). Enterprise Integration involves breaking down organizational barriers to improve synergy within the enterprise so that business goals

Sponsored by IFAC TC 5.3 "Enterprise Integration and Networking? and IFIP TC 5 WG5.12 ?Architectures for Enterprise Integration? http://www.cs.rmit.edu.au/fedconf

Ontologies in Integration Scenarios Business Processes and Software Integration in Concrete Applications Cross-Enterprise Business Integration/ Collaboration

analysis, verification and validation. - Enterprise integration, business integration and enterprise application integration. - Frameworks and tools for the deployment

�?� Integration and interoperability, intelligent infrastructures and automated methods for integrating systems, multi-level integration, enterprise integration

practitioners interested in business or enterprise modelling, enterprise and enterprise application integration, semantic Web, business meta-data, ontologies

interfaces, component integration, Web services, and embedded systems), to enterprise related topics (e.g., complex event detection, enterprise application integration

component integration, Web services and embedded systems), to enterprise related topics (e.g. complex event detection, enterprise application integration, real

Interoperability of Enterprise Systems - Ontology-based Enterprise Architectures - Ontology-based Software Engineering for Enterprises - Enterprise Components?

Also, relevant topics span enterprise-level computing, including enterprise application integration, real-time enterprises, event-based business process

Also, relevant topics span enterprise-level computing, including enterprise application integration, real-time enterprises, event-based business process

architectures - Enterprise application integration - Event-driven business process management - Information logistics - Seamless integration of event-based

Learning Collaborative Systems and Applications Enterprise System Integration Supply Chain Integration Virtual Teams, Mobile Collaboration Artificial Social

Additional topics of interest are Enterprise Knowledge Graphs, Semantic AI & Machine Learning, Enterprise Data Integration, Linked Data & Data Publishing

Tool support for service creation, validation and testing * Enterprise application integration * Protocols for efficient message transmission to embedded

interest. They can be used to support Business-to-Business (B2B), Enterprise Application Integration (EAI), and collaborations within or between Virtual Organizations

ApplicationsEngineering PhysicsEnglish LinguisticsEnglish LiteratureEnterprise ManagementEnterprise SoftwareEnterprise Software TechnologiesEntrepreneurshipEnvironmentE

reuse. One of the contemporary ways to represent knowledge in the enterprises are enterprise knowledge graphs or just knowledge graphs. They are a flexible

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

Ontology alignment and integration Spatio-temporal aspects of data sharing and integration Event based information sharing and integration Data Mash-up techniques

Mashups for the Social Web * Mashups for mobile devices * Enterprise mashups * Information integration and filtering mashups * Geographic mashups * Specific

challenges. Topics of interest include, but are not restricted to: * Business, enterprise, process and services modelling; * Big data modelling * Concepts, concept

Modeling, Analysis, Development Enterprise Modeling and Application Integration Services, e.g. Enterprise Service Bus Enterprise Architecture Design Principles

documentation, e-commerce, big data analysis, enterprise search, document management, business intelligence and enterprise vocabulary management. Given the success

challenges. Topics of interest include, but are not restricted to: * Business, enterprise, process and services modelling; * Big data modelling * Concepts, concept

Rich Web UI * Semantic Web * Web Agents and Web Intelligence * Web Data Integration * Web Data Mashup * Web Data Models * Web Information Retrieval * Web

technologies Information systems integration and tools for supporting information integration Practical experience with integration approaches Information systems

Applications: Collaborative Learning, Systems, and Applications Enterprise Systems and Supply Chain Integration Virtual Teams, Mobile Collaboration, Artificial Social

processing of data for AI applications. They can be used to define and monitor integration mappings between data sets that train AI. They can track the provenance

Semantic content and data modeling and digital knowledge curation • Semantic integration, including transformation rules, ontology matching, merging, etc. • Ontology

ontologies ontologies for enterprise content management natural language processing and cognitive science semantic integration of heterogeneous semi-structured

and new research approaches in the area of Linked Enterprise Data Management. We focus on enterprise and government data management with respect to quality

application of semantic methods and technologies in corporate environments and enterprise information systems. The Pragmatic Web consists of the tools, practices

Trade Negotiations * Country and Industry Studies of Trade * Economic Integration * Trade and Labor Market Interactions * Trade and Environment * International

knowledge-intensive enterprises Business and Enterprise Modelling requirements for enterprise modelling modelling of enterprise architecture quality of enterprise models

Applications: Collaborative Learning, Systems, and Applications Enterprise Systems and Supply Chain Integration Virtual Teams, Mobile Collaboration, Artificial Social

collection of highly correlated data, issues such as data integration, data integration, model integration, and model transferring across different domains, play

(research) and ‘vertical’ (industries) topics: Horizontals: Enterprise Linked Data & Data Integration Knowledge Discovery & Intelligent Search Business Models

queried, updated and managed in a convenient manner, even when tight integration may be very difficult or impossible due to issues of autonomy or heterogeneity

systems Security and privacy Integration with back-end systems such as web-based information systems, process control, and enterprise software Program Co-Chairs:

verifying, and evaluating communications systems * Large-scale system integration, software evolution, software engineering methodologies, and requirements

Process Integration and Management Requirements Analysis of Business Process Integration and Management Enterprise Modeling and Application Integration Services

(BPI) * Tools for data warehousing and OLAP * Integration of data warehouses/OLAP and data mining * Integration of OLAP and Information Retrieval/search engines

and practitioners from academia, industries, research institutions, R&D enterprise services and governmental organisations to exchange innovative contributions

and Metrics of Conceptual Models Business Information Systems Enterprise Models Enterprise Architectures Service-Oriented Architectures Business Process

Synergy * Enterprise 2.0 * Balancing biz and tech needs and/or acting as liaison between the two * IT-based business models * Utilizing or integrating social

International Conference on Video and Image Processing ICDIPC2012 - DILS - Data Integration in the Life Sciences AID - International Conference on AI in Design Wildauer

discovery, service orchestration/composition, data integration and data retention) in various (enterprise to embedded) service-oriented applications. * Methodologies

(KBS) - Use cases and feed backs involving domain ontologies - Ontologies integration - Knowledge Engineering - Rule based applications - Common mistakes in

Conceptual systems' evolution and time, ontology of time; * Concept integration and integration of modelling paradigms; * Description of concepts, views, and

Applications: Collaborative Learning, Systems, and Applications Enterprise Systems and Supply Chain Integration Virtual Teams, Mobile Collaboration, Artificial Social

Applications: Collaborative Learning, Systems, and Applications Enterprise Systems and Supply Chain Integration Virtual Teams, Mobile Collaboration, Artificial Social

software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial Intelligence Artificial intelligent

ecology is explicitly considered), the notion of mashups has emerged as an integration paradigm which is lightweight and easy such that: - end-users themselves

of Interest Topics of interest include, but are not limited to: * Data integration and interoperability * Data management for ubiquitous and mobile computing

processing of data for AI applications. They can be used to define and monitor integration mappings between data sets that train AI. They can track the provenance

papers concerning scalability issues in ontology management, information integration, and information extraction, as well as papers that examine the information

requirements posing special challenges with respect to data modelling, -integration and validation. Further, as a result of shorter innovation cycles and

Resources, Technologies and Evaluation*. The Map will be a collective enterprise of the LREC community, as a first step towards the creation of a very

ontologies ontologies for enterprise content management natural language processing and cognitive science semantic integration of heterogeneous semi-structured

service-oriented paradigm as it applies to the development and integration of enterprise and e-business information systems. By looking at the business

Recently, enterprises, communities and organizations discover this new way of thinking as a chance to set up new ways of end user integration. By empowering

Systems Security - Electronic cash, wallets and pay-per-view systems - Enterprise management and consumer protection - Identity and Trust Management - Intellectual

Conceptual Data Modeling Knowledge Representation and Reasoning Semantic Data Integration and Ontology Engineering Web Information Retrieval Web Tools and Languages

to field test results. The topics include sensors, systems, optimal integration of multiple sensors, and novel or emerging technologies used in the field

means of achieving a separation of concerns, supporting functions of both integration and infrastructure management and offers promising opportunities for organizing

-Risk planning, Analysis & Awareness -Safety Critical Systems -Secure Enterprise Architectures -Security Issues for Ubiquitous Systems -Security and Privacy

flexible solutions for doing publishing, presentation, transformation, integration and general manipulation of data for supporting and making use of the

(industries) below are of interest for the conference: Enterprise Linked Data & Data Integration Knowledge Discovery & Intelligent Search Business Models

Risk planning, Analysis & Awareness, Safety Critical Systems, Secure Enterprise Architectures, Security Issues for Ubiquitous Systems, Security and Privacy

results in the enhancement of the quality of life, contributing to a full integration of all citizens in the societies they are also part of. HIBES 2012 is

control, and licensing issues of Linked Data role of Linked Data within enterprise applications (e.g. ERP, SCM, CRM) Linked Data applications for life-sciences

of abstraction and detail, e.g. as a framework for enterprise architectures, as a method for enterprise modeling, or as a reference model. EAM patterns address

Data Acquisition, Integration, Cleaning, and Best Practices Visualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation

Data Acquisition, Integration, Cleaning, and Best Practices Visualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation

network data - Data mining support for designing information systems - Integration of data warehousing, OLAP and data mining - Mining Trends, Opportunities

control, and licensing issues of Linked Data role of Linked Data within enterprise applications (e.g. ERP, SCM,CRM) Linked Data applications for life-sciences

and management Storage, indexing, retrieval, deduplication, cleansing Enterprise content management: models and standards, scale and performance Digital

Chatbots Graph Databases and Query Languages Linked Data and Semantic Data Integration Multimodal Knowledge Graphs Contextualized Knowledge Graphs Cross-modal

CALL FOR PAPERS -- An improved alignment of the IT infrastructure of an enterprise with its business needs and requirements is a trend that has dominated

Risk planning, analysis & awareness * Safety Critical Systems * Secure Enterprise Architectures * Security Issues for Ubiquitous Systems * Security and

presentations, and panel discussions, including but not limited to: Integration solutions and their limitations a. Interoperability of MT engines b.

limited to): Benchmarking and performance evaluation Data exchange and integration Data quality, cleaning and lineage Database monitoring and tuning Data

be stated as: SOA: "enable assembly, orchestration and maintenance of enterprise solutions to quickly react to changing business requirements" [Wienands]

Sciences The Integration of Technology and Business Strategies Geographic Information System Management strategy in e-commerce enterprise Service/Event

Management Electronic Commerce Engineering Information Systems Enterprise Data Management Enterprise Resource Planning Environmental Management Experiences in

distributed environments - Semantic and knowledge grids - Intelligent integration of data and processes - Distributed problem solving and decision making

Information Retrieval over collections of semi-structured data or documents. * Integration of data mining and /or database and/or Information Retrieval. * Categorization

Hierarchical Simulation, Integrating Process Mapping and Simulation, Manufacturing Consulting, Manufacturing Controls, Model Integration Standards Optimization

try to combine the strengths of Semantic Web (machine processable, data integration, complex queries) and Wiki (easy to use and contribute, strongly interconnected

challenges. Topics of interest include, but are not restricted to: * Business, enterprise, process and services modelling; * Concepts, concept theories and ontologies;

challenges. Topics of interest include, but are not restricted to: * Business, enterprise, process and services modelling; * Concepts, concept theories and ontologies;

Document repositories: storage, indexing, retrieval, deduplication, cleansing Enterprise content management: models and standards, scale and performance Digital

Document repositories: storage, indexing, retrieval, deduplication, cleansing Enterprise content management: models and standards, scale and performance Digital

Management Electronic Commerce Engineering Information Systems Enterprise Data Management Enterprise Resource Planning Environmental Management Experiences in

Data Acquisition, Integration, Cleaning, and Best Practices Visualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation

Computing on Global Grids - Cluster and Grid Integration - Creation and Management of Virtual Enterprises and Organizations - Distributed and Large-Scale

impact Context-aware and location-based services Mobile healthcare Mobile enterprise and workforce support RFID and mobile supply chain management mLearning

technologies and standards for multi-agent system design, development and integration Agent-enabled adaptation, evolution, and optimization of services and

and be successful. As such, Model-Based Design of embedded software has enterprise-wide implications and modeling is not limited to isolated uses by a single

Cross-industry Services (e.g. strategy and planning, supply chain management, enterprise resource planning, customer relationship management, marketing services)

software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial Intelligence Artificial intelligent

* Web and Grid Service-based Applications * Virtual Organizations and Enterprise Computing * Economics of P2P, Grid and Internet Computing * Ubiquitous

Privacy Risk planning, Analysis & Awareness Safety Critical Systems Secure Enterprise Architectures Security Issues for Ubiquitous Systems Security and Privacy

Barcelona �?? Spain In conjunction with the 10th International Conference on Enterprise Information Systems (ICEIS 2008), http://www.iceis.org/ Co-Chairs Bernadette

XaaS (everything as a service including IaaS, PaaS, and SaaS) - Service Integration and Orchestration on the Cloud - Grid and Computational Services - Service

ontology of workflow in MAS; ontologies for distributed applications and integration; sharing and semantic interoperability; discovery and operations on ontologies;

Processing XML and other extensible languages Web Metrics and its applications Enterprise Computing Semantic Web, Ontologies and Rules Human-Computer Interaction

Engineering, University of Bologna, Bologna, Italy User:Curator 86 Vahdati, Enterprise Information Systems, University of Bonn, Bonn, Germany Industrial Program

from sensors, individual archives, social networks, Internet of Things, enterprise and Internet in all scales and formats. One of the most challenging issues

Information Mining and Security Guangxi Regional Multi-Source Information Integration and Intelligent Processing Collaborative Innovation Center School of Economics

Service-Oriented Computing and Enterprise Architecture; * The Semantic Web; * Semi-structured Data and XML; * Information and Database Integration; * Information Retrieval

Design Digital Libraries Geographical Information Systems Information Integration and Interoperability Information Retrieval Knowledge Bases Mobile Data

from sensors, individual archives, social networks, Internet of Things, enterprise and Internet in all scales and formats. One of the most challenging issues

Auctions * Applications - Agent-Based Assistants - Agent-Based Virtual Enterprise - Embodied Agents and Agent-Based Systems Applications - Interface Agents -