Automatic construction of a large-scale situation ontology by mining how-to instructions from the web

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With the growing interests in semantic web services and context-aware computing, the importance of ontologies, which enable us to perform context-aware reasoning, has been accepted widely. While domain-specific and general-purpose ontologies have been developed, few attempts have been made for a situation ontology that can be employed directly to support activity-oriented context-aware services. In this paper, we propose an approach to automatically constructing a large-scale situation ontology by mining large-scale web resources, eHow and wikiHow, which contain an enormous amount of how-to instructions (e. g., "How to install a car amplifier"). The construction process is guided by a situation model derived from the procedural knowledge available in the web resources. Two major steps involved are: (1) action mining that extracts pairs of a verb and its ingredient (i.e., objects, location, and time) from individual instructional steps (e. g., <disconnect, ground cable>) and forms goal-oriented situation cases using the results and (2) normalization and integration of situation cases to form the situation ontology. For validation, we measure accuracy of the action mining method and show how our situation ontology compares in terms of coverage with existing large-scale ontology-like resources constructed manually. Furthermore, we show how it can be utilized for two applications: service recommendation and service composition. (C) 2010 Elsevier B. V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2010-07
Language
English
Article Type
Article
Citation

JOURNAL OF WEB SEMANTICS, v.8, pp.110 - 124

ISSN
1570-8268
DOI
10.1016/j.websem.2010.04.006
URI
http://hdl.handle.net/10203/97136
Appears in Collection
CS-Journal Papers(저널논문)
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