Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2007+aswc2007/tracks/research/papers/687> ?p ?o. }
Showing items 1 to 15 of
15
with 100 items per page.
- 687 creator chong-wang.
- 687 creator haofen-wang.
- 687 creator miao-xiong.
- 687 creator qi-zhou.
- 687 creator yong-yu.
- 687 type InProceedings.
- 687 label "SPARK: Adapting Keyword Query to Semantic Search".
- 687 sameAs 687.
- 687 abstract "Semantic search promises to provide more accurate result than present-day keyword search. However, progress with semantic search has been delayed due to the complexity of its query languages. In this paper, we explore a novel approach of adapting keywords to querying the semantic web: the approach automatically translates keyword queries into formal logic queries so that end users can use familiar keywords to perform semantic search. A prototype system named ‘SPARK’ has been implemented in light of this approach. Given a keyword query, SPARK outputs a ranked list of SPARQL queries as the translation result. The translation in SPARK consists of three major steps: term mapping, query graph construction and query ranking. Specifically, a probabilistic query ranking model is proposed to select the most likely SPARQL query. In the experiment, SPARK achieved an encouraging translation result.".
- 687 hasAuthorList authorList.
- 687 hasTopic Application_software.
- 687 hasTopic Ontology_%28computer_science%29.
- 687 hasTopic Semantic_Web.
- 687 isPartOf proceedings.
- 687 title "SPARK: Adapting Keyword Query to Semantic Search".