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ACSC
2003
IEEE
10 years 5 months ago
A Unifying Semantic Distance Model for Determining the Similarity of Attribute Values
The relative diļ¬€erence between two data values is of interest in a number of application domains including temporal and spatial applications, schema versioning, data warehousing...
John F. Roddick, Kathleen Hornsby, Denise de Vries
EUROCAST
2005
Springer
102views Hardware» more  EUROCAST 2005»
10 years 5 months ago
Similarity Queries in Data Bases Using Metric Distances - from Modeling Semantics to Its Maintenance
Similarity queries in traditional databases work directly on attribute values. But, often similar attribute values do not indicate similar meanings. Semantic background information...
Josef Küng, Roland Wagner
WEBDB
2004
Springer
202views Database» more  WEBDB 2004»
10 years 5 months ago
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
Ullas Nambiar, Subbarao Kambhampati
VLDB
1994
ACM
127views Database» more  VLDB 1994»
10 years 3 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
APCCM
2006
10 years 1 months ago
Defining and implementing domains with multiple types using mesodata modelling techniques
The integration of data from different sources often leads to the adoption of schemata that entail a loss of information in respect of one or more of the data sets being combined....
Sally Rice, John F. Roddick, Denise de Vries
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