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CIKM
2008
Springer
13 years 9 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
13 years 11 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
AAAI
2008
13 years 10 months ago
Predicting Appropriate Semantic Web Terms from Words
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write com...
Lushan Han, Tim Finin
ICWS
2004
IEEE
13 years 9 months ago
Access Control for Semantic Web Services
In this paper we make a contribution to the proof and trust layer of the Semantic Web layer cake by integrating two well founded techniques, namely DAML-S (for describing Web serv...
Sudhir Agarwal, Barbara Sprick
EDM
2010
148views Data Mining» more  EDM 2010»
13 years 9 months ago
Sentiment Analysis in Student Experiences of Learning
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
Sunghwan Mac Kim, Rafael A. Calvo