Integrating Keywords and Semantics on Document Annotation and Search

Nikos Bikakis, Giorgos Giannopoulos, Theodore Dalamagas, Timos Sellis
Abstract. This paper describes GoNTogle, a framework for document annotation and retrieval, built on top of Semantic Web and IR technologies. GoNTogle supports ontology-based annotation for documents of several formats, in a fully collaborative environment. It provides both manual and automatic annotation mechanisms. Automatic annotation is based on a learning method that exploits user annotation history and textual information to automatically suggest annotations for new documents. GoNTogle also provides search facilities beyond the traditional keyword-based search. A flexible combination of keyword-based and semantic- based search over documents is proposed in conjunction with advanced ontology- based search operations. The proposed methods are implemented in a fully functional tool and their effectiveness is experimentally validated.