SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association

Access to scientific literature information is a very important, as well as time-consuming daily work for scientific researchers. Current methods of retrieval are usually limited to keyword-based searching using information retrieval techniques. In this paper, we present SemreX which implements efficient large-scale literature retrieval and browsing 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, combining with the ontology-based information visualization technique so as to facilitate researchers retrieving semantically relevant information, as well as context relationships which can capture user's current search intentions while preserving an overall picture of scientific knowledge