Output details
11 - Computer Science and Informatics
The University of West London
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Output 0 of 0 in the submission
Output title
Web Community Knowledge Extraction for myCBR 3
Type
E - Conference contribution
Name of conference/published proceedings
The Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Volume number
-
Issue number
-
First page of article
239
ISSN of proceedings
-
Year of publication
2011
URL
-
Number of additional authors
1
Additional information
<17> Web communities and the Web 2.0 provide a huge amount of experiences. Making these available as knowledge to be used in case-based reasoning systems is a current research effort. Extracting such knowledge from the diverse data types used in web communities and formalising it for CBR is not trivial. In this paper we present the knowledge extraction workbench prototype KEWo. The KEWo automatically extracts Vocabulary items and taxonomies of these to be used as similarity measures in CBR systems from web forum posts in natural language. This paper won the best refereed application paper award at the SG AI-2011.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
