Searching a minimal semantically-equivalent subset of a set of partial values

Tseng, Frank S. C.; Chen, Arbee L. P.; Yang, Wei

doi:10.1007/bf01263049

Cited by 6 publications

(1 citation statement)

References 23 publications

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“…This makes the process of cube integration more complicated; we think such a case is beyond the scope of this paper and we will elaborate on such an extension in the future. For the manipulation of partial values, gentle readers are referred to [44] and our previous papers [45][46][47][48][49].…”

Section: Resolving the Measure-to-measure Conflictsmentioning

confidence: 99%

Integrating heterogeneous data warehouses using XML technologies

Tseng

Chen

2005

Journal of Information Science

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Data warehousing has been widely adopted by contemporary enterprises. For inter-organizational information sharing, the need cannot be over-emphasized to conduct researches on the integration of heterogeneous data warehouses to overcome the challenging situations today. That makes it urgent to establish a systematic integration methodology for integrating heterogeneous data warehouses via the Internet or proprietary extranets. Traditionally, researchers usually employed a canonical format as the integration medium for logical data integrations among heterogeneous systems. In this paper, to fully utilize the power of the Internet, we propose a framework and develop a prototype to integrate heterogeneous data warehouses by XML technologies. We first formally define the elements in data warehousing and discuss various semantic conflicts occurring among heterogeneous data cubes. Then, we propose the system architecture and related resolution procedures for all kinds of semantic conflicts. For local data cubes with different schemas, we define a global XML Schema to integrate the local cube structures, and transform each local cube respectively into an XML document conforming to the global XML Schema. These transformed XML documents obtained from local cubes will be manipulated by pre-defined XQuery commands to form a unified XML document, which can be regarded as the global cube. The integrated global cube can be easily stored and manipulated in native XML databases. The proposed methodology enables global users to browse or pose multi-dimensional expressions (MDX) on the global cube to obtain a result in the same way as they perform locally.

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Section: Resolving the Measure-to-measure Conflictsmentioning

confidence: 99%

Integrating heterogeneous data warehouses using XML technologies

Tseng

Chen

2005

Journal of Information Science

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Answering heterogeneous database queries with degrees of uncertainty

Tseng

Chen

Yang

1993

Distrib Parallel Databases

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Abstract. In heterogeneous database systems, partial values have been used to resolve some schema integration problems. Performing operations on partial values may produce maybe tuples in the query result which cannot be compared. Thus, users have no way to distinguish which maybe tuple is the most possible answer. In this paper, the concept of partial values is generalized to probabilistic partial values. We propose an approach to resolve the schema integration problems using probabilistic partial values and develop a full set of extended relational operators for manipulating relations containing probabilistic partial values. With this approach, the uncertain answer tuples of a query are associated with degrees of uncertainty (represented by probabilities). That provides users a comparison among maybe tuples and a better understanding on the query results. Besides, extended selection and join are generalized to c~-selection and c~-join, respectively, which can be used to filter out maybe tuples with low probabilities-those which have probabilities smaller than a.

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Manipulation of exclusive disjunctive data in relational databases

Chiu

Chen

1997

Data & Knowledge Engineering

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Searching a minimal semantically-equivalent subset of a set of partial values

Cited by 6 publications

References 23 publications

Integrating heterogeneous data warehouses using XML technologies

Integrating heterogeneous data warehouses using XML technologies

Answering heterogeneous database queries with degrees of uncertainty

Manipulation of exclusive disjunctive data in relational databases

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