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

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.

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

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

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

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

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

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.

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

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.

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.

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

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.

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.

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

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

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

You are welcome to suggest other topic areas.