Composition and Efficient Evaluation of Context-Aware Preference Queries View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Patrick Roocks , Markus Endres , Stefan Mandl , Werner Kießling

ABSTRACT

This paper presents a modular approach to context-aware preference query composition based on a novel kind of preference generator. We introduce a constructive model to generate preference terms within the Preference SQL framework. Given several sources for preference related knowledge like explicit user input, information extracted from a preference repository, domain-specific application knowledge, location-based sensor data, or web service feeds for weather data our preference generator can compile a user search request into one rather complex context-aware Preference SQL query. Choosing as use case a commercial e-business platform for outdoor activities, we demonstrate how such queries despite the power and complexity of this approach can be evaluated efficiently on a practical data set. More... »

PAGES

81-95

References to SciGraph publications

  • 2007-06. Database querying under changing preferences in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2006. A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 2003. Is Context-Aware Computing Taking Control away from the User? Three Levels of Interactivity Examined in UBICOMP 2003: UBIQUITOUS COMPUTING
  • Book

    TITLE

    Database Systems for Advanced Applications

    ISBN

    978-3-642-29034-3
    978-3-642-29035-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-29035-0_6

    DOI

    http://dx.doi.org/10.1007/978-3-642-29035-0_6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1000647336


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