SWECKA2007

From semanticweb.org

Recent advances in computing and communications together with the rapid proliferation of information sources and services present unprecedented opportunities in integrative and collaborative analysis and interpretation of distributed, autonomous (and hence, inevitably semantically heterogeneous) data and knowledge sources and services in virtually every area of human activity. Fundamental advances in collaborative approaches to knowledge acquisition and data-driven decision making from distributed, autonomous, semantically heterogeneous data and knowledge sources require synergistic synthesis of research advances, insights, algorithms, and results in multiple areas of:

• Artificial Intelligence - especially machine learning, data mining, knowledge representation and inference, intelligent agents and multi-agent systems;
• Information Systems - especially databases, information integration, semantic web; and
• Distributed computing and software engineering (e.g., service-oriented computing).

The workshop aims to bring together researchers and practitioners in the relevant areas of artificial intelligence, databases, knowledge bases, machine learning, information integration, ontologies, semantic web, web services, and relevant application areas (e.g., bioinformatics, environmental informatics, enterprise informatics e-science, e-government, medical informatics, security informatics, social informatics, among others). to discuss the current state of the art and open research problems in ontology modularization and integration. A secondary goal of the workshop is to facilitate collaborations between different research groups.

[edit] Workshop Topics

• Cyber-infrastructure and semantic web technologies for collaborative knowledge acquisition
• Modeling semantically heterogeneous data and knowledge sources and services
• Collaboratively developing and sharing ontologies and inter-ontology mappings
• Representing and reasoning with ontologies and mappings between ontologies
• Discovering mappings between data source schema and between ontologies
• Reasoning with distributed modular ontologies
• Integrating modular ontologies
• Visualizing large distributed ontologies
• Semantically annotating information sources
• Querying distributed, semantically heterogeneous information sources
• Acquiring knowledge from distributed data sources /span>
• Acquiring knowledge from semantically heterogeneous data sources
• Extracting knowledge and facts from distributed text and multimedia data
• Exploiting distributed knowledge and data in dynamic data-driven applications
• Finding, composing, and using semantically heterogeneous services
• Modeling, tracking, and using information provenance
• Modeling, and reasoning about trust of information sources and services
• Preserving privacy, selectively sharing information and knowledge
• Applications in bioinformatics, security informatics, enterprise informatics, social informatics, engineering informatics, health informatics, environmental informatics, and related areas
• Case studies, software tools, use cases, and application
• Open problems

[edit] Workshop Format

The workshop will consist of:

• An opening session for introducing the workshop topics, goals, participants, and expected outcomes
• A small number of invited talks carefully intermixed with presentation of contributed papers.
• Breaks between sessions, meant to encourage informal discussions related to the topics discussed in the sessions and to create opportunities for collaborations.
• Discussion of open problems and future research directions
• A wrap-up session summarizing the workshop (including formal or informal discussions).