Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Conceptual modeling of semantic navigation structures: the MoSeNa-approach
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Conceptual navigation in knowledge management environments using NavCon
Information Processing and Management: an International Journal
Supporting semantic navigation
Proceedings of the third symposium on Information interaction in context
A hybrid approach to constructing tag hierarchies
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
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Search has been and will continue to be an important tool for users who need to locate information in an ever increasing mount of resources. Not all queries have a well defined information need that can easily be described by a keyword query. Exploratory search is one such type of search where the user is not necessarily proficient in the domain or does not have a clear idea of what he is looking for. In such types of search, navigation is beneficial to guide the user in his quest. In this paper we present an approach to contextual navigation search, based on a hierarchical structure constructed from folksonomy tags. The tags are associated with an extended semantic representation used to guide the navigation. Five semantic navigators are introduced, which are navigation strategies the user can benefit from. We present a prototype which has been implemented to show the applicability of the approach to the problem at hand. The preliminary results are promising and demonstrate the ability to direct the user at interesting navigational suggestions and documents.