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  1. Journal of Intelligent Information Systems
  2. Journal of Intelligent Information Systems : Volume 37
  3. Journal of Intelligent Information Systems : Volume 37, Issue 2, October 2011
  4. Optimizing queries to remote resources
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Journal of Intelligent Information Systems : Volume 48
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Journal of Intelligent Information Systems : Volume 39
Journal of Intelligent Information Systems : Volume 38
Journal of Intelligent Information Systems : Volume 37
Journal of Intelligent Information Systems : Volume 37, Issue 3, December 2011
Journal of Intelligent Information Systems : Volume 37, Issue 2, October 2011
Optimizing queries to remote resources
A vector-space dynamic feature for phrase-based statistical machine translation
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
A graph model for mutual information based clustering
Using ontology databases for scalable query answering, inconsistency detection, and data integration
Load shedding for multi-way stream joins based on arrival order patterns
Effective monitoring by efficient fingerprint matching using a forest of NAQ-trees
Journal of Intelligent Information Systems : Volume 37, Issue 1, August 2011
Journal of Intelligent Information Systems : Volume 36
Journal of Intelligent Information Systems : Volume 35
Journal of Intelligent Information Systems : Volume 34
Journal of Intelligent Information Systems : Volume 33
Journal of Intelligent Information Systems : Volume 32
Journal of Intelligent Information Systems : Volume 31
Journal of Intelligent Information Systems : Volume 30
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Journal of Intelligent Information Systems : Volume 20
Journal of Intelligent Information Systems : Volume 19
Journal of Intelligent Information Systems : Volume 18
Journal of Intelligent Information Systems : Volume 17
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Journal of Intelligent Information Systems : Volume 10
Journal of Intelligent Information Systems : Volume 9
Journal of Intelligent Information Systems : Volume 8

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Optimizing queries to remote resources

Content Provider Springer Nature Link
Author Weichselbraun, Albert
Copyright Year 2010
Abstract One key property of the Semantic Web is its support for interoperability. Recent research in this area focuses on the integration of multiple data sources to facilitate tasks such as ontology learning, user query expansion and context recognition. The growing popularity of such machups and the rising number of Web APIs supporting links between heterogeneous data providers asks for intelligent methods to spare remote resources and minimize delays imposed by queries to external data sources. This paper suggests a cost and utility model for optimizing such queries by leveraging optimal stopping theory from business economics: applications are modeled as decision makers that look for optimal answer sets. Queries to remote resources cause additional cost but retrieve valuable information which improves the estimation of the answer set’s utility. Optimal stopping optimizes the trade-off between query cost and answer utility yielding optimal query strategies for remote resources. These strategies are compared to conventional approaches in an extensive evaluation based on real world response times taken from seven popular Web services.
Starting Page 119
Ending Page 137
Page Count 19
File Format PDF
ISSN 09259902
Journal Journal of Intelligent Information Systems
Volume Number 37
Issue Number 2
e-ISSN 15737675
Language English
Publisher Springer US
Publisher Date 2010-08-14
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Information integration Adaptive decision-making Optimal stopping Opportunity cost model Semantic Web Heterogeneous data sources Business Information Systems Document Preparation and Text Processing Artificial Intelligence (incl. Robotics) Information Storage and Retrieval Data Structures, Cryptology and Information Theory
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture
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