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How to map from texts to structured case representations and how to automatically generate representations have become the research hotspot in the fields of Textual Case-based Reasoning (TCBR). This paper presents methods that support automatically generation ontology-based representation for textual cases. We used the Ontology to describe the relationship between terms in application fields. First,...
In open network, unfamiliar web services are unavailable due to lack of effective mechanism to evaluation their performances for users. In order to help the user recognizing unknown web services, semantics understanding and reputation based evaluation mechanism is introduced into web service research. Semantics understanding based evaluation is according to the user's requirements semantics and the...
Case representation is groundwork in case retrieval and case-based reasoning system. The retrieval result will mainly depend on case representation. This paper presents a novel approach to model ontology-based case using rough set in a structuring way which can largely enhance the efficiency of case retrieval. It is proved through experiment that user can get much better result based on this approach.
This paper presents methods that support case retrieval in case-based reasoning system. We used the ontology to describe the relationship between terms in application fields. The similar cases are retrieval by calculating semantic similarity which we have defined. We evaluated traditional method of calculating the semantic similarity with lattice theory. We have constructed a decision support CBR...
With the number of services published on the Internet growing at an explosive speed, it is difficult for service requesters to discover satisfactory web services. The reason for this phenomenon is that traditional service organization mode lacks semantic information metadata, which results in low discovery effect. In this paper, we firstly give a service description model and then present an overall...
Problem solving model is a software part in decision support system. Model action is the key part of decision making, and semantics comprehension of the model action is very important for decision support system. The representation method of action semantics and surrounding semantics are proposed for the dynamic environment in DSS. Two ontologies are defined to provide semantics, according to the...
Semantics comprehension is the key for intelligent decision making. Semantic based interaction is the method of model management in decision support system. A semantic driven interaction method is presented for DSS. Two ontologies are defined to provide semantics, according to the characteristics of knowledge of model. Modelpsilas semantics are defined as model description semantics and model action...
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