Semantics, Web and Mining
Publication year: 2006
ISBN: 978-3-540-47698-6
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Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge,businessunderstanding,etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between.
Subject: Computer Science, association rule mining, classification, data mining, hyperlink mining, knowledge discovery, navigation analysis, ontologies, pattern mining, recommender systems, semantic Web, semantic Web mining, taxonomic context, usage analysis, usage pattern discover
