| 書目名稱 | Semantics, Web and Mining | | 副標(biāo)題 | Joint International | | 編輯 | Markus Ackermann,Bettina Berendt,Maarten Someren | | 視頻video | http://file.papertrans.cn/865/864759/864759.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | 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. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data (“Web mining”). Thisis due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD | | 出版日期 | Conference proceedings 2006 | | 關(guān)鍵詞 | association rule mining; classification; data mining; hyperlink mining; knowledge discovery; navigation a | | 版次 | 1 | | doi | https://doi.org/10.1007/11908678 | | isbn_softcover | 978-3-540-47697-9 | | isbn_ebook | 978-3-540-47698-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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