语义学,Web与数据挖掘：EWMF 2005 与 KDO 2005/会议文集 Semantics, web and mining
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作者： Markus Ackermann等著
出 版 社： 湖南文艺出版社
出版时间： 2005-12-1字数：版次： 1页数： 195印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540476979包装： 平装编辑推荐
The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli- gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.
proceedings (published in time for the respective conference)；
post-proceedings (consisting of thoroughly revised final full papers)；
research monographs (which may be based on PhD work).
内容简介
This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005.
The 10 revised full papers presented together with 1 invited paper and 1 particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book. The authors' revisions have been significantly improved by the reviewers' comments and the discussions following the presentation. The papers focus on sophisticated techniques and tools that are used for semantic reasoning, semantic Web research, and Web data mining.
目录
EWMF Papers
A Website Mining Model Centered on User Queries
WordNet-Based Word Sense Disambiguation for Learning User Profiles
Visibility Analysis on the Web Using Co-visibilities and Semantic Networks
Link-Local Features for Hypertext Classification
Information Retrieval in Trust-Enhanced Document Networks
Semi-automatic Creation and Maintenance of Web Resources with webTopic
KDO Papers on KDD for Ontology
Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis
Semi-automatic Construction of Topic Ontologies
Evaluation of Ontology Enhancement Tools
KDO Papers on Ontology for KDD
Introducing Semantics in Web Personalization: The Role of Ontologies
Ontology-Enhanced Association Mining
Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usage Patterns
Author Index
