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Cluster Computing

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22-02-2018

Knowledge retrieval of historic concepts using semantic web

Authors: Salma Noor, Sehrish Jamil, Neelam Gohar, Lubna Shah

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

This paper presents a comprehensive survey on knowledge retrieval of historical concepts using semantic web technologies. The scope of this discussion encompasses research material in the field of computing and humanities including but not limited to Cultural Heritage, Museum and Digital Library research. Semantic web techniques used to describe, store, search, query and retrieve historic concepts such as RDF, RDFs, OWL, and Ontologies are discussed along with other extensively researched methods from domains like Natural Language Processing and Computer Vision. The discussion elaborates on Ontological-enabled information retrieval and the concept of new knowledge discovery. This work presents a comprehensive set of problems identified in the field of information retrieval and their solutions through the semantic web along with an insight in the future directions and the open-ended questions in the domain of retrieval of historic concept.

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Title: Knowledge retrieval of historic concepts using semantic web
Authors: Salma Noor
Sehrish Jamil
Neelam Gohar
Lubna Shah
Publication date: 22-02-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-1883-y

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