文件名称：Springer - Ontology Learning and Population from Text
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更新时间：2012-06-03 07:45:13
Springer Ontology Learning Population
In the broad area of data and knowledge engineering — and including disciplines like databases, semantic web, knowledge representation as well as overlapping areas such as computational linguistics, artificial intelligence or information management — one may recognize some grand challenges that puzzle many researchers and practitioners alike: 1. Combining statistics and logics; 2. Scaling towards large complex systems; 3. Turning what still often remains an art into a science and/or an engineering discipline. This book responds to these challenges by moving ontology learning and population forward a very large step.