Rewriting queries using views in description logics
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
Towards the Reverse Engineering of Denormalized Relational Databases
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Data Reverse Engineering: A Historical Survey
WCRE '00 Proceedings of the Seventh Working Conference on Reverse Engineering (WCRE'00)
Web Semantics: Science, Services and Agents on the World Wide Web
Component-based end-user database design for ecologists
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IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Discovering the semantics of relational tables through mappings
Journal on Data Semantics VII
Merging Sets of Taxonomically Organized Data Using Concept Mappings under Uncertainty
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Contemporary Challenges in Ambient Data Integration for Biodiversity Informatics
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
A semantic annotation framework for retrieving and analyzing observational datasets
ESAIR '10 Proceedings of the third workshop on Exploiting semantic annotations in information retrieval
Approaches for semantically annotating and discovering scientific observational data
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Database support for enabling data-discovery queries over semantically-annotated observational data
Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
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Observational data (i.e., data that records observations and measurements) plays a key role in many scientific disciplines. Observational data, however, are typically structured and described in ad hocways, making its discovery and integration difficult. The wide range of data collected, the variety of ways the data are used, and the needs of existing analysis applications make it impractical to define "one-size-fits-all" schemas for most observational data sets. Instead, new approaches are needed to flexibly describe observational data for effective discovery and integration. In this paper, we present a generic conceptual-modeling framework for capturing the semantics of observational data. The framework extends standard conceptual modeling approaches with new constructs for describing observations and measurements. Key to the framework is the ability to describe observation context, including complex, nested context relationships. We describe our proposed modeling framework, focusing on context and its use in expressing observational data semantics.