Abstract. Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing one's interests, but also as a starting point for leveraging social connections through collaborative user participations. A number of users have contributed to tag resources in web sites such as Del.icio.us, Flickr etc.However, there is no uniform structure to describe tags and user's activities. This makes difficult to share and represent tag data among people. The SCOT (Social Semantic Cloud of Tags) ontology is aimed to represent the structure and semantics of a set of tags and promotes their global sharing. The paper introduce the SCOT ontology and methods of its representation.
Abstract:Semantic Web Portals (SWPs) provide web services supporting searching, sharing and exchanging of information using semantic web techniques. The pre-existing SWP construction workflow based on current RDF store has limited scalabilities for processing the large volumes of semantic data. In this paper, we propose M/R (M/R) based modules usable in each step (e.g., data storing, reasoning, and accessing) of the workflow to reduce overall processing time and cost. The proposed modules lesson burdens of each step by exploiting an M/R cluster which is easily enlargeable with use of a cloud computing platform.
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