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Super-peer semantic search engine

Objective

The project will conduct research in the design, use and interoperability of topic-specific search engines with the goal of developing an open source prototype of a distributed, semantic-based search engine. Existing search engines provide poor foundation for semantic web operations, and are becoming vital access paths to the Internet.

Our approach is not the traditional Semantic Web approach with coded or semi-automatically extracted metadata, but rather an engine that can build on content through automatic analysis of free text. Linguistic processing will be inside the search engine and a probabilistic document model will provide a principled evaluation of relevance to complement existing standard authority scores. This will facilitate semantic retrieval and incorporate pre-existing domain ontologies using facilities for import and maintenance.

The distributed design will be based on exposing search objects as resources, and on using implicit and automatically generated semantics (not ontologies) to distribute queries and merge results. Because semantic expressivity and interoperability are competing goals, developing a system that is both distributed and semantic-based is the key challenge: research will involve both the statistical and linguistic format of semantic internals, and determining the extent to which the semantic internals are exposed at the interface. The consortium assembles a team of leading international researchers from the areas of peer-to-peer computing (P2P), information extraction and search, and probabilistic modeling together with some of Europe's leading SMEs.

The combination of design goals, the distributed operation and open source development have been chosen to support incremental growth, third-party involvement, low barrier to entry, and next generation knowledge services so it provides a foundation for European SMEs and be accepted internationally.

Call for proposal

Data not available

Coordinator

TEKNILLINEN KORKEAKOULU
Address
Otakaari 1
02015 Espoo
Finland

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Participants (10)

ALMA BIOINFORMATICS SL
Spain
Address
Ronda De Poniente 4 2? C-d
28760 Tres Cantos, Madrid

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DANMARKS TEKNISKE UNIVERSITET
Denmark
Address
Anker Engelundsvej 1, Bygning 101a
2800 Kgs. Lyngby

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ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
Address
Ecublens
1015 Lausanne

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EXALEAD
France
Address
10 Place De La Madeleine
75008 Paris

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INDEX DATA APS
Denmark
Address
Koebmagergade 43, 2
1150 Koebenhavn K

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INSTITUT JOZEF STEFAN
Slovenia
Address
Jamova 39
1000 Ljubljana

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INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
France
Address
Rue De L Universite 147
75338 Paris Cedex 07

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LUNDS UNIVERSITET
Sweden
Address
Paradisgatan 5c
221 00 Lund

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TSINGHUA UNIVERSITY
China
Address
Qing Hua Yuan
100084 Beijing

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UNIVERSITE PARIS 13
France
Address
Avenue Jean-baptiste Clement 99
93430 Villetaneuse

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