TY - GEN
T1 - CoSeNa
T2 - 1st ACM International Conference on Management of Emergent Digital EcoSystems, MEDES '09
AU - Cataldi, Mario
AU - Schifanella, Claudio
AU - Candan, Kasim
AU - Sapino, Maria Luisa
AU - Di Caro, Luigi
PY - 2009
Y1 - 2009
N2 - Most of the existing document and web search engines rely on keyword-based queries. To find matches, these queries are processed using retrieval algorithms that rely on word frequencies, topic recentness, document authority, and (in some cases) available ontologies. In this paper, we propose an innovative approach to exploring text collections using a novel keywords-by-concepts (KbC) graph, which supports navigation using domain-specific concepts as well as keywords that are characterizing the text corpus. The KbC graph is a weighted graph, created by tightly integrating keywords extracted from documents and concepts obtained from domain taxonomies. Documents in the corpus are associated to the nodes of the graph based on evidence supporting contextual relevance; thus, the KbC graph supports contextually informed access to these documents. In this paper, we also present CoSeNa (Context-based Search and Navigation) system that leverages the KbC model as the basis for document exploration and retrieval as well as contextually-informed media integration.
AB - Most of the existing document and web search engines rely on keyword-based queries. To find matches, these queries are processed using retrieval algorithms that rely on word frequencies, topic recentness, document authority, and (in some cases) available ontologies. In this paper, we propose an innovative approach to exploring text collections using a novel keywords-by-concepts (KbC) graph, which supports navigation using domain-specific concepts as well as keywords that are characterizing the text corpus. The KbC graph is a weighted graph, created by tightly integrating keywords extracted from documents and concepts obtained from domain taxonomies. Documents in the corpus are associated to the nodes of the graph based on evidence supporting contextual relevance; thus, the KbC graph supports contextually informed access to these documents. In this paper, we also present CoSeNa (Context-based Search and Navigation) system that leverages the KbC model as the basis for document exploration and retrieval as well as contextually-informed media integration.
KW - Data knowledge management
KW - HCI
KW - Web based digital ecosystems
UR - http://www.scopus.com/inward/record.url?scp=74549128030&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74549128030&partnerID=8YFLogxK
U2 - 10.1145/1643823.1643864
DO - 10.1145/1643823.1643864
M3 - Conference contribution
AN - SCOPUS:74549128030
SN - 9781605588292
T3 - Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09
SP - 218
EP - 225
BT - Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09
Y2 - 27 October 2009 through 30 October 2009
ER -