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Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories

Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories
Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories
Searching for relevant information in web repositories of multi-disciplinary scientific research data is becoming a challenge for research communities such as the Social Sciences. Researchers use the available keywords-based online search which often fall short of producing the desired search results due to known issues of content heterogeneity, volume of data and terminological obsolescence. This leads to a number of problems including insufficient content exposure, unsatisfied researchers and lack of trust in such repositories of valuable knowledge.

This research explores the appropriateness of alternative searching based on Linked Open Data (LoD)-based semantic annotation and indexing in online repositories such as the ReStore repository (www.restore.ac.uk) containing content from multiple Social Science research methods projects . We explore websites content annotations using LoD to generate contemporary semantic annotations. We investigate whether we can improve accuracy and relevance in search results affected by concepts and terms obsolescence in repositories of scientific content.
Khan, Arshad
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Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f
Khan, Arshad
bba4b9b5-eb02-4732-81a5-902a87df8972
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f

Khan, Arshad, Tiropanis, Thanassis and Martin, David (2015) Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories. 9th Russian Summer School in Information Retrieval (RuSSIR 2015), Russian Federation. 24 - 28 Aug 2015.

Record type: Conference or Workshop Item (Poster)

Abstract

Searching for relevant information in web repositories of multi-disciplinary scientific research data is becoming a challenge for research communities such as the Social Sciences. Researchers use the available keywords-based online search which often fall short of producing the desired search results due to known issues of content heterogeneity, volume of data and terminological obsolescence. This leads to a number of problems including insufficient content exposure, unsatisfied researchers and lack of trust in such repositories of valuable knowledge.

This research explores the appropriateness of alternative searching based on Linked Open Data (LoD)-based semantic annotation and indexing in online repositories such as the ReStore repository (www.restore.ac.uk) containing content from multiple Social Science research methods projects . We explore websites content annotations using LoD to generate contemporary semantic annotations. We investigate whether we can improve accuracy and relevance in search results affected by concepts and terms obsolescence in repositories of scientific content.

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More information

e-pub ahead of print date: 25 August 2015
Venue - Dates: 9th Russian Summer School in Information Retrieval (RuSSIR 2015), Russian Federation, 2015-08-24 - 2015-08-28
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 400151
URI: https://eprints.soton.ac.uk/id/eprint/400151
PURE UUID: 7a9761e3-f8f4-4c01-9bc3-14bcf776151a
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852
ORCID for David Martin: ORCID iD orcid.org/0000-0003-0397-0769

Catalogue record

Date deposited: 12 Sep 2016 13:38
Last modified: 06 Jun 2018 13:09

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