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Using semantic indexing to improve searching performance in web archives

Using semantic indexing to improve searching performance in web archives
Using semantic indexing to improve searching performance in web archives
The sheer volume of electronic documents being published on the Web can be overwhelming for users if the searching aspect is not properly addressed. This problem is particularly acute inside archives and repositories containing large collections of web resources or, more precisely, web pages and other web objects. Using the existing search capabilities in web archives, results can be compromised because of the size of data, content heterogeneity and changes in scientific terminologies and meanings. During the course of this research, we will explore whether semantic web technologies, particularly ontology-based annotation and retrieval, could improve precision in search results in multi-disciplinary web archives.
semantic indexing, archive searching, multi-disciplinary web archives, semantic searching, linked data
Khan, Arshad
c98e36d4-096c-41ed-b5ed-80aeeca7564c
Martin, David J.
e5c52473-e9f0-4f09-b64c-fa32194b162f
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Khan, Arshad
c98e36d4-096c-41ed-b5ed-80aeeca7564c
Martin, David J.
e5c52473-e9f0-4f09-b64c-fa32194b162f
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8

Khan, Arshad, Martin, David J. and Tiropanis, Thanassis (2013) Using semantic indexing to improve searching performance in web archives. The First International Conference on Building and Exploring Web Based Environments (WEB2013), Spain. 27 Jan - 01 Feb 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

The sheer volume of electronic documents being published on the Web can be overwhelming for users if the searching aspect is not properly addressed. This problem is particularly acute inside archives and repositories containing large collections of web resources or, more precisely, web pages and other web objects. Using the existing search capabilities in web archives, results can be compromised because of the size of data, content heterogeneity and changes in scientific terminologies and meanings. During the course of this research, we will explore whether semantic web technologies, particularly ontology-based annotation and retrieval, could improve precision in search results in multi-disciplinary web archives.

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More information

Published date: 30 January 2013
Venue - Dates: The First International Conference on Building and Exploring Web Based Environments (WEB2013), Spain, 2013-01-27 - 2013-02-01
Related URLs:
Keywords: semantic indexing, archive searching, multi-disciplinary web archives, semantic searching, linked data
Organisations: Web & Internet Science, Geography & Environment
Learn more about Geography & Environment research

Identifiers

Local EPrints ID: 349058
URI: https://eprints.soton.ac.uk/id/eprint/349058
PURE UUID: 57958cd1-2c48-4e16-b869-581378e835e0
ORCID for Arshad Khan: ORCID iD orcid.org/0000-0002-6062-0098
ORCID for David J. Martin: ORCID iD orcid.org/0000-0003-0397-0769
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852

Catalogue record

Date deposited: 25 Feb 2013 15:25
Last modified: 30 Jan 2019 01:33

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Contributors

Author: Arshad Khan ORCID iD
Author: David J. Martin ORCID iD
Author: Thanassis Tiropanis ORCID iD

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