Developing an ontology-supported information recommending system for scholars

This paper focused on developing an ontology-supported information recommending system for scholars. Not only can it fast integrate specific domain documents, but also it can extract important information from them to take information integration and recommendation ranking. The core technologies include: ontology-supported webpage crawler, webpage classifier, information extractor, information recommender, and a user integration interface. The preliminary experiment outcomes proved that the reliability and validation measurements of the whole system performance can achieve the high-level outcomes of information recommendation.