A system based on associational logic for the interrogation of databases
Journal of Information Science
Automatic text processing
On the minimality and global consistency of row-convex constraint networks
Journal of the ACM (JACM)
Journal of the American Society for Information Science
PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Automatic generation of English/Chinese thesaurus based on a parallel corpus in laws
Journal of the American Society for Information Science and Technology
Automatic construction of English/Chinese parallel corpora
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology - Intelligence and Security Informatics
Conceptual analysis of parallel corpus collected from the Web
Journal of the American Society for Information Science and Technology
A heuristic method based on a statistical approach for Chinese text segmentation
Journal of the American Society for Information Science and Technology
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
A multilingual knowledge management system: A case study of FAO and WAICENT
Decision Support Systems
A novel steganographic algorithm using animations as cover
Decision Support Systems
Multilingual knowledge management
Artificial intelligence
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International crime and terrorism have drawn increasing attention in recent years. Retrieving relevant information from criminal records and suspect communications is important in combating international crime and terrorism. However, most of this information is written in languages other than English and is stored in various locations. Information sharing between countries therefore presents the challenge of cross-lingual semantic interoperability. In this work, we propose a new approach - the associate constraint network - to generate a cross-lingual concept space from a parallel corpus, and benchmark it with a previously developed technique, the Hopfield network. The associate constraint network is a constraint programming based algorithm, and the problem of generating the cross-lingual concept space is formulated as a constraint satisfaction problem. Nodes and arcs in an associate constraint network represent extracted terms from parallel corpora and their associations. Constraints are defined for the nodes in the associate constraint network, and node consistency and network satisfaction are also defined. Backmarking is developed to search for a feasible solution. Our experimental results show that the associate constraint network outperforms the Hopfield network in precision, recall and efficiency. The cross-lingual concept space that is generated with this method can assist crime analysts to determine the relevance of criminals, crimes, locations and activities in multiple languages, which is information that is not available in traditional thesauri and dictionaries.