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
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Martin, David
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Khan, Arshad
bba4b9b5-eb02-4732-81a5-902a87df8972
Tiropanis, Thanassis
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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), Saint Petersburg, 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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Russir_2015 _Final.pdf
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e-pub ahead of print date: 25 August 2015
Venue - Dates:
9th Russian Summer School in Information Retrieval (RuSSIR 2015), Saint Petersburg, Russian Federation, 2015-08-24 - 2015-08-28
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 400151
URI: http://eprints.soton.ac.uk/id/eprint/400151
PURE UUID: 7a9761e3-f8f4-4c01-9bc3-14bcf776151a
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Date deposited: 12 Sep 2016 13:38
Last modified: 15 Mar 2024 03:31
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Contributors
Author:
Arshad Khan
Author:
Thanassis Tiropanis
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