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.
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CITATION STYLE
Nuzzolese, A. G. (2012). Knowledge pattern extraction and their usage in exploratory search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7650 LNCS, pp. 449–452). Springer Verlag. https://doi.org/10.1007/978-3-642-35173-0_37
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