Output details
11 - Computer Science and Informatics
The University of West London
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Output 0 of 0 in the submission
Article title
Extracting knowledge from web communities and linked data for case-based reasoning systems
Type
D - Journal article
Title of journal
Expert Systems
Article number
-
Volume number
00
Issue number
-
First page of article
n/a
ISSN of journal
02664720
Year of publication
2013
URL
-
Number of additional authors
1
Additional information
<17> A rapidly growing amount of Linked (Open) Data (LOD) is available online. In this paper we describe an approach to making experience data available from LOD as knowledge to be used in case-based reasoning (CBR) systems. We present an enhanced version of our prototype, the Knowledge Extraction Workbench (KEWo), which supports the process of extracting such knowledge from data obtained from LOD sources. We provide details on the new abilities of the KEWo to extract vocabularies from LOD sources and generate taxonomies from LOD as an enhancement of the KEWo’s initial ability to extract such knowledge from web community data.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
