Machine learning: applications in expert systems and information retrieval
Machine learning: applications in expert systems and information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
A survey of information retrieval and filtering methods
A survey of information retrieval and filtering methods
SONIA: a service for organizing networked information autonomously
Proceedings of the third ACM conference on Digital libraries
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
Using machine learning to improve information access
Using machine learning to improve information access
Statistical machine learning for information retrieval
Statistical machine learning for information retrieval
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In this work, a framework for the implementation of Cross Language Information Retrieval (CLIR) systems is proposed and discussed. Special emphasis is given to capture a holistic study of bilingual Information Retrieval (IR) systems. First, traditional Information Retrieval (IR) and Content-Based (Image) Retrieval (CBR) as essential parts of a Multi-modal Information Retrieval approach are examined. Information Filtering (IF) is also examined and Learning and Adaptation in IR and IF are used for adding innovative characteristics to the traditional IR systems. Then, emphasis is given to the particularities of the Greek - English text, queries and test collections. Finally, CLIR systems are related to Secure Enhanced Knowledge and Data Management systems and specific techniques and methods are selected and discussed for possible implementation.