SemreX: A Semantic Association-Based Scientific Literature Sharing System

Access to scientific literature information is a very important, as well as time-consuming daily work for scientific researchers. However, more and more literatures are available. It imposes a challenge to literature database. Current literature system mainly pays attention to a few explicit relationship among literature entities. In this paper, we present SemreX – a semantic association based literature sharing system with a single access point based on semantic web technologies. The concept of Semantic Association is proposed to reveal explicit or implicit relationships between semantic entities so as to facilitate researchers retrieving semantically relevant information. For the purpose of expression of semantic association, we propose a semantic association data model. Since it is very important for identification of semantic association to identify entities correctly, we develop some methods to identify entity name correctly. To real some implicit semantic association, we propose Wikipedia based classification. Based on semantic association among entities, we propose a entity ranking approach which help users find useful literature entities quickly.