While logic provides an appealing formalism for knowledge representation and reasoning, it is not without drawbacks. There are many aspects of human reasoning that are not adequately handled by pure logic. (Of course there are also many aspects that we would rather avoid capturing.) For example, suppose a human is told that “all aliens are blue”. Later, however, the human also learns the fact t...

In this paper, we propose Semantic Similarity calculation measurement using INformation contents on EdGEs of ontology (SSINEGE) which is a hybrid edgeand information contents-based methodology. SSINEGE is devised to solve the limitation of the applying the same weighted edges by edgebased similarity. So, SSINEGE adopts information-contents theory to calculate the varied weights of edges. The va...

The weighted degree heuristic is among the state of the art generic variable ordering strategies in constraint programming. However, it was often observed that when using large arity constraints, its efficiency deteriorates significantly since it loses its ability to discriminate variables. A possible answer to this drawback is to weight a conflict set rather than the entire scope of a failed c...

Most of association rule mining approaches aim to mine association rules considering exact matches between items in transactions. In this paper we present a new algorithm called SSDM (Semantically Similar Data Miner), which considers not only exact matches between items, but also the semantic similarity between them. SSDM uses fuzzy logic concepts to represent the similarity degree between item...

In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a given service request, that are logic-based, text-based and structural similarity. In particular, the degree of structural service similarity is computed by the WSDL-Analyzer tool [12] by means of XMLS tree edit distance measur...