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SEKT: 

SEKT SEmantic Knowledge Technology http://www.sekt-project.com/

SEKT: 

SEKT addressing the semantic knowledge technology research agenda EU 6th framework Integrated Project start date 1/1/2004 36 months, €12.5m

The Goal: 

The Goal To deliver next generation semantic knowledge technology through: Foundational research (Semi-)automatic ontology generation and population Ontology management (mediation, evolution, inferencing) Innovative technology development A suite of knowledge access tools Open source ontology middleware platform Validated by 3 case studies and benchmarking/usability activties Supported by a methodology

The SEKT partners: 

The SEKT partners

In three words …: 

In three words … Semantic knowledge management classifies, finds, distributes, shares and uses knowledge based on meaning not the particular words used to represent meaning.

In three words …: 

In three words … Semantic knowledge management classifies, finds, distributes, shares and uses knowledge based on meaning not the particular words used to represent meaning.

Words and meanings: 

Words and meanings same word, different meanings different words, same meaning disability legislation equal opportunity laws different words, related meaning public sector organisations charity company organisations Jaguar

The knowledge base: 

The knowledge base

Semantic Browsing: 

Semantic Browsing

Slide10: 

Semantic Browsing

Precision in Semantic Search: 

Precision in Semantic Search Semantic Search can match a query: Documents concerning a telecom company in Europe, with John Smith as a director, With a document containing: “At its meeting on the 10th of May, the board of Vodafone appointed John Smith as CTO" Traditional search engines cannot do the required reasoning: Vodafone is a mobile operator, which is a kind of telecom company; Vodafone is in the UK, which is a part of Europe; CTO is a type of director

The knowledge base: 

The knowledge base

Major research challenges: 

Major research challenges Improve automation of ontology and metadata generation Research and develop techniques for ontology management and evolution Develop highly-scalable solutions Research sound inferencing despite inconsistent models Develop semantic knowledge access tools Develop methodology for deployment

Real-world case studies: 

Real-world case studies helping newly-appointed judges helping IT consultants a corporate digital library Use/refinement of SEKT methodology Usability, business benefits and benchmarking

SEKT applications: 

SEKT applications