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Automatic Extraction of Knowledge from Web Documents

Automatic Extraction of Knowledge from Web Documents
Automatic Extraction of Knowledge from Web Documents
A large amount of digital information available is written as text documents in the form of web pages, reports, papers, emails, etc. Extracting the knowledge of interest from such documents from multiple sources in a timely fashion is therefore crucial. This paper provides an update on the Artequakt system which uses natural language tools to automatically extract knowledge about artists from multiple documents based on a predefined ontology. The ontology represents the type and form of knowledge to extract. This knowledge is then used to generate tailored biographies. The information extraction process of Artequakt is detailed and evaluated in this paper.
Alani, Harith
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Kim, Sanghee
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Millard, David E.
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hall, Wendy
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Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Kim, Sanghee
9e0e5909-9fbe-4c37-9606-2fdea35eac12
Millard, David E.
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Alani, Harith, Kim, Sanghee, Millard, David E., Weal, Mark J., Lewis, Paul H., Hall, Wendy and Shadbolt, Nigel R. (2003) Automatic Extraction of Knowledge from Web Documents At 2nd International Semantic Web Conference - Workshop on Human Language Technology for the Semantic Web abd Web Services, United States. 20 - 23 Oct 2003.

Record type: Conference or Workshop Item (Paper)

Abstract

A large amount of digital information available is written as text documents in the form of web pages, reports, papers, emails, etc. Extracting the knowledge of interest from such documents from multiple sources in a timely fashion is therefore crucial. This paper provides an update on the Artequakt system which uses natural language tools to automatically extract knowledge about artists from multiple documents based on a predefined ontology. The ontology represents the type and form of knowledge to extract. This knowledge is then used to generate tailored biographies. The information extraction process of Artequakt is detailed and evaluated in this paper.

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More information

Published date: 2003
Additional Information: Event Dates: October 20-23
Venue - Dates: 2nd International Semantic Web Conference - Workshop on Human Language Technology for the Semantic Web abd Web Services, United States, 2003-10-20 - 2003-10-23
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 258194
URI: http://eprints.soton.ac.uk/id/eprint/258194
PURE UUID: 5efed5dd-80db-4b53-8484-8bc000efe53c
ORCID for David E. Millard: ORCID iD orcid.org/0000-0002-7512-2710
ORCID for Mark J. Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 18 Oct 2003
Last modified: 18 Jul 2017 09:34

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Contributors

Author: Harith Alani
Author: Sanghee Kim
Author: David E. Millard ORCID iD
Author: Mark J. Weal ORCID iD
Author: Paul H. Lewis
Author: Wendy Hall ORCID iD

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