Multivariate statistical methods: a primer
Multivariate statistical methods: a primer
Large test collection experiments on an operational, interactive system: Okapi at TREC
TREC-2 Proceedings of the second conference on Text retrieval conference
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Data & Knowledge Engineering
Dictionaries and Lexical Graphs
NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
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We describe an algorithm for detecting semantically equivalent metadata across namespaces instantiated as database schema, an operation otherwise known as schema-matching. Assuming a metadata description discipline which imposes graph-theoretic constraints on data dictionaries, the algorithm employs analytical techniques used in information retrieval, information theory, and computational linguistics. It exploits the information inherent in textual metadata description and metadata dependency relations in order to match elements across schema boundaries.