Memory and context for language interpretation
Memory and context for language interpretation
Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Electric words: dictionaries, computers, and meanings
Electric words: dictionaries, computers, and meanings
Flexible and scalable cost-based query planning in mediators: a transformational approach
Artificial Intelligence - Special issue on Intelligent internet systems
Extracting taxonomic relationships from on-line definitional sources using LEXING
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
DGRC AskCal: natural language question answering for energy time series
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Building a terminological database from heterogeneous definitional sources
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Acquisition of OWL DL Axioms from Lexical Resources
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Learning word-class lattices for definition and hypernym extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A new minimally-supervised framework for domain word sense disambiguation
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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Metadata descriptions of database contents are required to build and use systems that access and deliver data in response to user requests. When numerous heterogeneous databases are brought together in a single system, their various metadata formalizations must be homogenized and integrated in order to support the access planning and delivery system. This integration is a tedious process that requires human expertise and attention. In this paper we describe a method of speeding up the formalization and integration of new metadata. The method takes advantage of the fact that databases are often described in web pages containing natural language glossaries that define pertinent aspects of the data. Given a root URL, our method identifies likely glossaries, extracts and formalizes aspects of relevant concepts defined in them, and automatically integrates the new formalized metadata concepts into a large model of the domain and associated conceptualizations.