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