Knowledge interaction in Web context is a challenging problem. For instance, it requires to deal with complex structures able to filter knowledge by drawing a meaningful context boundary around data. We assume that these complex structures can be formalized as Knowledge Patterns (KPs), aka frames. This Ph.D. work is aimed at developing methods for extracting KPs from the Web and at applying KPs to exploratory search tasks. We want to extract KPs by analyzing the structure of Web links from rich resources, such as Wikipedia. © 2012 Springer-Verlag Berlin Heidelberg.

Knowledge pattern extraction and their usage in exploratory search

Nuzzolese;Andrea Giovanni
2012

Abstract

Knowledge interaction in Web context is a challenging problem. For instance, it requires to deal with complex structures able to filter knowledge by drawing a meaningful context boundary around data. We assume that these complex structures can be formalized as Knowledge Patterns (KPs), aka frames. This Ph.D. work is aimed at developing methods for extracting KPs from the Web and at applying KPs to exploratory search tasks. We want to extract KPs by analyzing the structure of Web links from rich resources, such as Wikipedia. © 2012 Springer-Verlag Berlin Heidelberg.
2012
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
11th International Semantic Web Conference, ISWC 2012
7650 LNCS
449
452
http://www.scopus.com/inward/record.url?eid=2-s2.0-84868568179&partnerID=q2rCbXpz
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1
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Nuzzolese; Andrea Giovanni
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Interactive Knowledge Stack for small to medium CMS/KMS providers
   IKS
   FP7
   231527
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/275103
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