Semantic Search in Documents Enriched by LOD-based Annotations

Semantic Search in Documents Enriched by LOD-based Annotations

Paper in proceedings (conference paper)

This paper deals with information retrieval on semantically enriched web-scale document collections. It particularly focuses on web-crawled content in which mentions of entities appearing in Freebase, DBpedia and other Linked Open Data resources have been identified. A special attention is paid to indexing structures and advanced query mechanisms that have been employed into a new semantic retrieval system. Scalability features are discussed together with performance statistics and results of experimental evaluation of presented approaches. Examples given to demonstrate key features of the developed solution correspond to the cultural heritage domain in which the results of our work have been primarily applied.

This paper deals with information retrieval on semantically enriched web-scale document collections. It particularly focuses on web-crawled content in which mentions of entities appearing in Freebase, DBpedia and other Linked Open Data resources have been identified. A special attention is paid to indexing structures and advanced query mechanisms that have been employed into a new semantic retrieval system. Scalability features are discussed together with performance statistics and results of experimental evaluation of presented approaches. Examples given to demonstrate key features of the developed solution correspond to the cultural heritage domain in which the results of our work have been primarily applied.

semantic search, text annotation, semantic enrichment

semantic search, text annotation, semantic enrichment

SMRŽ, P.; KOUŘIL, J.

2015

02.04.2014

European Language Resources Association

Reykjavik

978-2-9517408-7-7

Proceedings of LREC 2014

234

237

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