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Ashokkumar Gurusamy, Vinod Kumar, Piyush Sharma,
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Abstract
nAs the digital landscape burgeons with unstructured information, the need for structured knowledge bases becomes paramount. The Semantic Web employs RDF 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 (ERKQ) framework addresses this shortfall, enhancing usability and capability. This research outlines the RDF/SPARQL foundations, surveys related works, presents ERKQ, 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.
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Keywords: Semantic Web, Entity Relationship Keyword Querying (ERKQ), Resource Description Framework (RDF), SPARQL, prototype implementation, keyword querying
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Web Engineering & Technology(jowet)]
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | June 26, 2024 | |
| Accepted | July 23, 2024 | |
| Published | August 2, 2024 |
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