Invention Grant
- Patent Title: Normalized ranking of semantic query search results
- Patent Title (中): 语义查询搜索结果的归一化排序
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Application No.: US13595125Application Date: 2012-08-27
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Publication No.: US09229930B2Publication Date: 2016-01-05
- Inventor: Seema Sundara , Matthew Steven Perry , Souripriya Das , Jagannathan Srinivasan
- Applicant: Seema Sundara , Matthew Steven Perry , Souripriya Das , Jagannathan Srinivasan
- Applicant Address: US CA Redwood Shores
- Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee Address: US CA Redwood Shores
- Agency: Vista IP Law Group, LLP
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A method, system, and computer program product for normalized ranking of semantic query search results. The method commences by forming a SPARQL query, the SPARQL query specifying a collection of named RDF graphs, then executing the SPARQL query to retrieve matched documents selected from the collection of named RDF graphs. Having retrieved the matches, the method calculates an absolute normalized score for the matched document. The calculation of an absolute normalized score for a second matched document allows for relevance ranking. To enhance the relationship of the computer-calculated score to the relevance (and not solely to occurrence counts) embodiments consider the number of distinct variables selected in the SPARQL query, and also consider the total number of bindings to the aforementioned variables. For comparing from among possibly different sized documents, a further normalization component is implemented by considering the total number of triples found in the document's underlying subgraph.
Public/Granted literature
- US20140059043A1 NORMALIZED RANKING OF SEMANTIC QUERY SEARCH RESULTS Public/Granted day:2014-02-27
Information query