Constant interaction-time scatter/gather browsing of very large document collections
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Ontology-based query processing for global information systems
Ontology-based query processing for global information systems
Modern Information Retrieval
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
On Topological Elementary Equivalence of Spatial Databases
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
Information Navigation by Clustering and Summarizing Query Results
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Modeling and Navigation of Large Information Spaces: A Semantics Based Approach
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
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Querying heterogeneous spatial databases involves not only characterizing and comparing the information content of several databases, but also navigating or accessing the data sets with the query answer. This work proposes a formalism that relates the information content of data sets by three basic types of correspondence relations: data equivalence, difference of data omission, and difference of data commission. These correspondence relations define the information space over which a navigation process is carried out. Based on a complete or an incomplete information space, this work proposes strategies that optimize the retrieval process of information coming from different databases. The results of this study show the advantages of defining the information space to select and access databases. In particular, strategies that estimate the information contribution of data sets based on correspondence relations outperform a strategy that considers a random list or a list of data sets sorted by size.