QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and Partial Knowledge

An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we present an assertion-based data model that captures both value-based and structure-based "nulls" in data. We also introduce the QUEST system, which leverages the proposed model for Query-driven Exploration of Semistructured data with conflicT s and partial knowledge. Our approach to integration lies in enabling researchers to observe and resolve conflicts in the data by considering the context provided by the data requirements of a given research question. In particular, we discuss how pathcompatibility can be leveraged, within the context of a query, to develop a high-level understanding of conflicts and nulls in data. 1 Motivation and Related Work Through a joint effort of archaeologists and computer scientists, we are developing an integrated framework of knowledge-based collaborative tools that wil...

• Type: Conference
• Year: 2006
• Where: CLEANDB
• Authors: Yan Qi 0002, K. Selçuk Candan, Maria Luisa Sapino, Keith W. Kintigh
• Keywords: Assertion-based Data Model, CLEANDB 2006, Database, Scientific Data, Semistructured Data