Mining Scholarly Semantic Networks from the Web

With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such information is crucial for using our collective scholarly knowledge and expertise. Semantic network technology is prominent in structuring such knowledge. Our research project is designed to construct a scholarly semantic network from publicly available data that will be useful for researchers, business people in industry, and public servants in governmental organizations who are expected to make decisions appropriately. In this paper, we propose a practical architecture to construct a scholarly semantic network that integrates different scholarly entities such as researchers, papers, and keywords by taking into consideration ontological and web mining perspectives. We also provide an overview of our social network extraction system, which is used as an underpinning to build the architecture. The system, called ...

• Type: Conference
• Year: 2008
• Where: IV
• Authors: Mizuki Oka, Yutaka Matsuo
• Keywords: Collective Scholarly Knowledge, Information Technology, IV 2008, Semantic Network, Semantic Network Technology