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» Knowledge transformation from word space to document space
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SIGIR
2008
ACM
13 years 4 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao
ASWC
2006
Springer
13 years 8 months ago
Transformation from OWL Description to Resource Space Model
Abstract. Semantics shows diversity in real world, document world, mental abstraction world and machine world. Transformation between semantics pursues the uniformity in the divers...
Hai Zhuge, Peng Shi, Yunpeng Xing, Chao He
NLDB
2007
Springer
13 years 10 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
RIAO
2004
13 years 6 months ago
Ontologies as Background Knowledge to Explore Document Collections
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...
Nathalie Aussenac-Gilles, Josiane Mothe
ACL
2003
13 years 6 months ago
Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval
Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved ...
Dominic Widdows