Integrating and querying taxonomies with quest in the presence of conflicts

Authors:
Yan Qi;K. Selçuk Candan;Maria Luisa Sapino;Keith W. Kintigh
Affiliations:
Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Università di Torino, Torino, Italy;Arizona State University, Tempe, AZ
Venue:
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Year:
2007

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Abstract

We present the QUery-driven Exploration of Semistructured dataand meta-data with conflicTs and partial knowledge (QUEST) system for supporting the integration of scientific data and taxonomies in the presence of misalignments and conflicts. QUEST relies on a novel constraint-based data model that captures both value and structural conflicts and enables researchers to observe and resolve such misalignments in the integrated data by considering the context provided by the data requirements of given research questions.