Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

  • Aatif Ahmad Khan University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, Delhi, India.
  • Sanjay Kumar Malik University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, Delhi, India.

Abstract

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

Published
Jul 1, 2020
How to Cite
KHAN, Aatif Ahmad; MALIK, Sanjay Kumar. Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 39, n. 3, p. 595 - 602, july 2020. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/1701>. Date accessed: 05 july 2020. doi: http://dx.doi.org/10.22581/muet1982.2003.14.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License