2009 Semantic Technology Conference

Call for Presentations > Tracks/Topic Areas

The conference program will include 60-minute, six-hour, and three-hour presentations on the following topics:

Business and Marketplace

Industry trends, market outlook, business and investment opportunities.

Collaboration and Social Networks

Leveraging Web 2.0 in semantic systems. FOAF, Semantically-Interlinked Online Communities (SIOC), wikis, tagging, folksonomies, data portability.

Semantic Search

Different approaches to semantic search in the enterprise and on the web, successful application examples, tools (such as Sesame), performance and relevance/accuracy measures, natural language search, faceted search, visualization.

Advertising and Marketing

Contextual advertising, semantic search advertising, dynamic advertising content, marketing using semantics, and marketing of semantic technologies.

Collaboration and Social Networks

Leveraging Web 2.0 in semantic systems. FOAF, Semantically-Interlinked Online Communities (SIOC), wikis, tagging, folksonomies, data portability.

Data Integration and Mashups

Web-scale data integration, semantic mashups, disparate data access, scalability, database requirements, Linked Data, data transformations, XML.

Developing Semantic Applications

Experienced reports or prototypes of specific applications that demonstrate automated semantic inference. Frameworks, platforms, and tools used could include: Wikis, Jena, Redland, JADE, NetKernal, OWL API, RDF, GRDDL, Ruby On Rails, AJAX, JSON, Microformats, Process Specification Language (PSL), Atom, Yahoo! Pipes, Freebase, Powerset, and Twine.

Foundational Topics

This will include the basics of Semantic Technology for the beginner and/or business user including knowledge representation, open world reasoning, logical theory, inference engines, formal semantics, ontologies, taxonomies, folksonomies, vocabularies, assertions, triples, description logic, semantic models.

Knowledge Engineering and Management

Knowledge management concepts, knowledge acquisition, organization and use, building knowledge apps, artificial intelligence.

Ontologies and Ontology Concepts

Ontology definitions, reasoning, upper ontologies, formal ontologies, ontology standards, linking and reuse of ontologies, and ontology design principles.

Semantic Case Studies and Web 3.0

Report on applications that use explicit semantic information to change their appearance or behavior, aka "dynamic apps". Web 3.0 applications. Consumer apps, business apps, research apps.

Semantic Integration

Includes semantic enhancement of Web services, standards such as OWL/S, WSDL/S, WSMO and USDL, semantic brokers.

Semantic Query

Advances in semantically-based federated query, query languages such as SWRL, SPARQL, query performance, faceted query, triple stores, scalability issues.

Semantic Rules

Business Rules, logic programming, production rules, Prolog-like systems, use of Horn rules, inference rules, RuleML, Semantics of Business Vocabulary and Business Rules(SBVR).

Semantic SOA (Service Oriented Architectures)

Semantic requirements within SOA, message models and design, canonical model development, defining service contracts, shared business services, discovery processes.

Semantic Web

OWL/RDF and Semantic Web rule and query languages such as SWRL, SPARQL and the like. Includes linked data. Also progress of policy and trust.

Semantics for Enterprise Information Management (EIM)

Where and how semantic technology can be used in Enterprise Information Management. Applications such as governance, data quality, decision automation, reporting, publishing, search, enterprise ontologies.

Business Ontologies

Design and deployment methods, best practices, industry-specific ontologies, case studies, ontology-based application development, ontology design tools, ontology-based integration.

Taxonomies

Design and development approaches, tools, underlying disciplines for practitioners, vocabularies, taxonomy representation, taxonomy integration, relationship to ontologies.

Unstructured Information

This will include entity extraction, Natural Language Processing, social tagging, content aggregation, knowledge extraction, metadata acquisition, text analytics, content and document management, multi-language processing, GRDDL.

Other

You are welcome to suggest other topic areas.

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