Ashokkumar Gurusamy,
Vinod Kumar,
Piyush Sharma,
- Principal Software Engineer Fidelity Investments United States
- Vice President GAVS Technologies New Jersey United States
- Associate Developer Groupsoft Us Inc United States
Abstract
As the digital landscape burgeons with unstructured information, the need for structured knowledge bases becomes paramount. The Semantic Web employs Resource Description Framework and SPARQL as a cornerstone in organizing information. This work explores keyword querying approaches on knowledge bases such as Freebase, emphasizing their usability challenges, particularly in complex queries. Existing approaches, while valuable, exhibit limitations in handling intricate queries with multiple joins. The proposed Entity Relationship Keyword Querying framework addresses this shortfall, enhancing usability and capability. This research outlines the Resource Description Framework/SPARQL foundations, surveys related works, presents Entity Relationship Keyword Querying, and discusses its potential enhancements. The work concludes with a prototype implementation summary, paving the way for future refinements in keyword querying on extensive knowledge bases.
Keywords: Semantic web, entity relationship keyword querying, ERKQ, resource description framework, RDF, SPARQL, prototype implementation, keyword querying
[This article belongs to Journal of Web Engineering & Technology(jowet)]
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Journal of Web Engineering & Technology
Volume | 11 |
Issue | 02 |
Received | June 26, 2024 |
Accepted | July 23, 2024 |
Published | August 2, 2024 |