In this paper, we present an approach for classifying heterogeneous web information resources and organizing them as smart entity views based on a target entity of interest (e.g., person, place, town, event). In particular, we propose a dimensional clustering algorithm for the generation of smart entity views and we provide analysis techniques for enabling web resource exploration through entity visualization, entity analysis, and entity expansion.
An entity-driven approach to web resource clustering and exploration / S. Castano, A. Ferrara, S. Montanelli - In: Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on[s.l] : IEEE, 2015 Aug 12. - ISBN 9781467376921. - pp. 230-235 (( Intervento presentato al 24. convegno Enabling Technologies: Infrastructures for Collaborative Enterprises tenutosi a Larnaca nel 2015.
An entity-driven approach to web resource clustering and exploration
S. CastanoPrimo
;A. FerraraSecondo
;S. MontanelliUltimo
2015
Abstract
In this paper, we present an approach for classifying heterogeneous web information resources and organizing them as smart entity views based on a target entity of interest (e.g., person, place, town, event). In particular, we propose a dimensional clustering algorithm for the generation of smart entity views and we provide analysis techniques for enabling web resource exploration through entity visualization, entity analysis, and entity expansion.
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