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4. Conclusions In this paper, we proposed a categorization method for Semantic Web resources by integrating the categorization and SWS techniques. We confirmed that CSWS can provide users better search results having high relations to the users’ needs without explicit queries by extending the categories. Since the real world Semantic Web dynamically changes, it is impossible to construct a perfect ontology by any one organization. Therefore, to make an integrative use for the published ontology becomes more important.
June 22, 2007 12:38 WSPC - Proceedings Trim Size: 9in x 6in DASFAA˙final 37 Process 1 is performed by using a recursive function RER(c0 , a, rc0 ,a ). Let c0 be a class in a category a with the relation strength as rc0 ,a . RER(c0 , a, rc0 ,a ) can categorize the class c, which is an equivalent class or a subclass of the class c0 to category a with relation strength as rc,a . By recursively calling itself, RER(c0 , a, rc0 ,a ) categorizes all the offspring classes of c0 . Here, we give a coefficient k for the degressive strength of relation in the hierarchical structure.
The usually used patterns are sequential, conditional choice (exclusive), parallel and iterative. 2. Workflow Graphs To make the discussion context of situation, this section begins with introducing the definition of AO graph from Refs. 3. A workflow graph G is a directed acyclic graph (DAG) where each task is a node, and the parents of a node are its direct pre-requisites. That is, the decision to execute T does not depend on any (other) task in G given its parents. Let an AND/OR workflow graph (AO graph) be a constrained type of DAG, with any node being in one of the following classes: (1) split node, a node with multiple children; (2) join node, a node with multiple parents; (3) simple node, with no more than one parent and no more than one child; It is required that an AO graph must have exactly one node that has no parents (a start node) and exactly one node that has no children (an end node).