Contexts: a formalization and some applications
Contexts: a formalization and some applications
Representing multiple theories
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
OKBC: a programmatic foundation for knowledge base interoperability
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Scaling question answering to the Web
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Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Probabilistic question answering on the web
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Learning to map between ontologies on the semantic web
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Data integration: a theoretical perspective
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An adaptive peer-to-peer network for distributed caching of OLAP results
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Statistical synopses for graph-structured XML databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Representing and reasoning about mappings between domain models
Eighteenth national conference on Artificial intelligence
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Statistical parsing with a context-free grammar and word statistics
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
An interactive clustering-based approach to integrating source query interfaces on the deep Web
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
A search engine for natural language applications
WWW '05 Proceedings of the 14th international conference on World Wide Web
Approximate matching of textual domain attributes for information source integration
Proceedings of the 2nd international workshop on Information quality in information systems
Schema Matching across Query Interfaces on the Deep Web
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
A Prioritized Collective Selection Strategy for Schema Matching across Query Interfaces
BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
Web Semantics: Science, Services and Agents on the World Wide Web
Extracting learning concepts from educational texts in intelligent tutoring systems automatically
Expert Systems with Applications: An International Journal
Design, redesign and publication of linked schema repositories in the large
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Consistent query answers in virtual data integration systems
Inconsistency Tolerance
Design and use of ER repositories: methodologies and experiences in egovernment initiatives
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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A corpus-based knowledge representation system consists of a large collection of disparate knowledge fragments or schemas, and a rich set of statistics computed over the corpus. We argue that by collecting such a corpus and computing the appropriate statistics, corpus-based representation offers an alternative to traditional knowledge representation for a broad class of applications. The key advantage of corpus-based representation is that we avoid the laborious process of building a (often brittle) knowledge base. We describe the basic building blocks of a corpus-based representation system and a set of applications for which such a paradigm is appropriate, including one application where the approach is already showing promising results.