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Content archived on 2024-05-29

Super-peer semantic search engine


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.

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02015 ESPOO

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Participants (10)