Construction of Tag-Based Dynamic Data Catalog (TaDDCat) Using Ontology

Abstract

In this research, the proposed Tag-based Dynamic Data Catalog (TaDDCat) supports dynamic search of resources depending on user's requirements using tags from social web driven resources. It is possible for tags as meta data to match into some resources. Consequently, semantic relationships between tags can be extracted by dependency of relationship between tags and resources. TaDDCat using tags constructs hierarchical and associative relationships among tags for effective search of solution. Information template (ITM) is defined by extracted tags according to user's requirements and appropriately searched resources by the tags. In addition, primitive tree is extracted by hierarchical relationships among tags which are defined on semantic-tag cloud. The associative relationship is defined by shared resources between tags. Finally, new class which is generated by merged tags highly associative. The class creates new hierarchy with Hyper/hypo relationship between the class and former tags which are not merged. At last, integrated ontology (IO) is developed with relationships among tags. resources are matched into the IO are named by integrated information resource (IIR). The TaDDCat is completed by ITM with combination of Tags(T) and integrated information resource, and reasoning by relationships(R). The TaDDCats supports improvement of correctness and agility of search and decreasing of search effort by reduction of quantity of search data.