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Squiggle - Conceptual Indexing

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Publicado el 24 . 1 . 2011 por Equipo GNOSS
Squiggle - Conceptual Indexing

Squiggle es un framework que soporta la construcción de un buscador semántico sobre un dominio de conocimiento específico

Squiggle es multilingüe e independiente del dominio de conocimiento. Squiggle utiliza: 

  • Sesame como sistema de búsqueda semántica para consultar la base de conocimiento, descrito en RDF basado en el vocabulario SKOS
  • Lucene como sistema de búsqueda sintáctica

'Squiggle is a framework that supports the building of a domain-aware semantic search engine. Squiggle represents an abstraction for people who want to build a search engine in a particular domain and do not want to deal with low-level indexing and storing processes.

Squiggle seamlessly combines the speed of syntactic search tools with improved recall and precision. This is because Squiggle is able to trace any alternative/multilingual/misspelled labels back to the corresponding concepts, i.e. Squiggle can identify and recognize meanings.

The Squiggle framework is domain independent and can thus be instantiated with and adapted to any domain specific context and ontology. Among the constituents of SquiggleSesame is used as the semantic engine that queries the knowledge base, described in RDF with regard to the SKOS model, whereas the syntactic search engine Lucene is used, among other things, to quickly perform text searches in literals, which is something that semantic search tools typically cannot do well. Therefore the Squiggle architecture lends itself well both to overcome the limitations of purely syntactic approaches and to improve the performance of semantic engines.'


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