Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
In this paper, we have proposed a novel comprehensive structural framework for the construction of ontology from a given legal corpus for the purpose of query enhancement to pick r...
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Users’ cross-lingual queries to a digital library system might be short and not included in a common translation dictionary (unknown terms). In this paper, we investigate the fe...
Abstract— We design a scalable and expressive naming system called SENS, which can retrieve information of computing and content resources distributed widely on the Internet by e...