Integrating Keywords and Semantics on Document Annotation and Search

Abstract

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 semanticbased search over documents is proposed in conjunction with advanced ontologybased search operations. The proposed methods are implemented in a fully functional tool and their effectiveness is experimentally validated.

RETRACTED: Crowd Sensing Based Semantic Annotation of Surveillance Videos

“…Users can search the related video resources according to their providing semantic annotations [30][31][32].…”

Mímir: An open-source semantic search framework for interactive information seeking and discovery

“…Mímir differs from KIM in supporting structural compound operators, which enable semantic search also over linguistic annotations and document structure markup. GoNTogle [47] is a search system that provides keyword, semantic and hybrid search over semantically annotated documents. The semantic search replaces keywords with ontological classes.…”

Text document annotation methods: Stat of art

“…In [8] , [9] describe GoNTogle is proposed for document annotation and retrieval. It provides both manual and automatic annotation.…”

“…The last category anotation based on keywords may be word or keyphrase. As all published researches in the field of annotation of text document apply only one technique as in [1] , [2] , [5 ] [7] and less number of published research integrates only two techniques to enhance results as in [8] that integrates keyword based with ontology based annotation. And in citeboonyasopon2011automatic integrate keyword based technique and Wikipedia.…”