Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2009)
Sept. 15, 2009 to Sept. 18, 2009
We argue that web service discovery technology should help the user navigate a complex problem space by providing suggestions for services which they may not be able to formulate themselves as (s)he lacks the epistemic resources to do so. Free text documents in service environments provide an untapped source of information for augmenting the epistemic state of the user and hence their ability to search effectively for services. A quantitative approach to semantic knowledge representation is adopted in the form of semantic space models computed from these free text documents. Knowledge of the user’s agenda is promoted by associational inferences computed from the semantic space. The inferences are suggestive and aim to promote human abductive reasoning to guide the user from fuzzy search goals into a better understanding of the problem space surrounding the given agenda. Experimental results are discussed based on a complex and realistic planning activity.
service discovery, abductive inference, semantic space
P. D. Bruza, A. Barros and M. Kaiser, "Augmenting Web Service Discovery by Cognitive Semantics and Abduction," 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Milan, Italy, 2009, pp. 403-410.