Improving the workflow of semantic web portals using Map/Reduce in cloud platform

Yun S., Song M., Namgoong H., Yang S., Kumar H. and Kim H. (2010).
IMPROVING THE WORKFLOW OF SEMANTIC WEB PORTALS USING M/R IN CLOUD PLATFORM. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pages 485-488 DOI: 10.5220/0003142104850488


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 scalability 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.