Integrating RDF Querying Capabilities into a Distributed Search
Infrastructure
E. Demidova, und W. Nejdl.. Proceedings of the Proceedings of the "Web Search Technology - from Search to Semantic Search" Workshop, in conjunction with the 1st Asian Semantic Web Conference (ASWC 2006), September 3-7, 2006, Beijing, China., (2006)
Zusammenfassung
The Semantic Web is inherently distributed, and covers both metadata and full-text information. Semantic search therefore can profit a lot from peer-to-peer infrastructures as well as from powerful metadata search functionalities based on full-text search technologies. In this paper we focus on an approach extending an existing P2P search infrastructure with RDF querying capabilities, which both exploits efficient indexing structures conventionally employed in a search engine, and provides metadata search based on the SPARQL query language. We will discuss indexing strategy and querying steps, and show that our approach provides an efficient solution for metadata querying on the Web.
Proceedings of the Proceedings of the "Web Search Technology - from Search to Semantic Search" Workshop, in conjunction with the 1st Asian Semantic Web Conference (ASWC 2006), September 3-7, 2006, Beijing, China.
%0 Conference Paper
%1 demidova06aswc
%A Demidova, Elena
%A Nejdl., Wolfgang
%B Proceedings of the Proceedings of the "Web Search Technology - from Search to Semantic Search" Workshop, in conjunction with the 1st Asian Semantic Web Conference (ASWC 2006), September 3-7, 2006, Beijing, China.
%D 2006
%K distributed myown querying rdf tencompetence
%T Integrating RDF Querying Capabilities into a Distributed Search
Infrastructure
%X The Semantic Web is inherently distributed, and covers both metadata and full-text information. Semantic search therefore can profit a lot from peer-to-peer infrastructures as well as from powerful metadata search functionalities based on full-text search technologies. In this paper we focus on an approach extending an existing P2P search infrastructure with RDF querying capabilities, which both exploits efficient indexing structures conventionally employed in a search engine, and provides metadata search based on the SPARQL query language. We will discuss indexing strategy and querying steps, and show that our approach provides an efficient solution for metadata querying on the Web.
@inproceedings{demidova06aswc,
abstract = {The Semantic Web is inherently distributed, and covers both metadata and full-text information. Semantic search therefore can profit a lot from peer-to-peer infrastructures as well as from powerful metadata search functionalities based on full-text search technologies. In this paper we focus on an approach extending an existing P2P search infrastructure with RDF querying capabilities, which both exploits efficient indexing structures conventionally employed in a search engine, and provides metadata search based on the SPARQL query language. We will discuss indexing strategy and querying steps, and show that our approach provides an efficient solution for metadata querying on the Web.},
added-at = {2013-04-24T15:47:49.000+0200},
author = {Demidova, Elena and Nejdl., Wolfgang},
biburl = {https://www.bibsonomy.org/bibtex/28f6bce062006684dcce1800302df8463/demidova},
booktitle = {Proceedings of the Proceedings of the "Web Search Technology - from Search to Semantic Search" Workshop, in conjunction with the 1st Asian Semantic Web Conference (ASWC 2006), September 3-7, 2006, Beijing, China.},
interhash = {cf32f99436fd71ad5af5c6dc9cfcb9b3},
intrahash = {8f6bce062006684dcce1800302df8463},
keywords = {distributed myown querying rdf tencompetence},
timestamp = {2016-04-24T23:00:38.000+0200},
title = {Integrating RDF Querying Capabilities into a Distributed Search
Infrastructure},
year = 2006
}