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Query generation for semantic datasets

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Published:23 June 2013Publication History

ABSTRACT

Due to the increasing volume of and interconnections between semantic datasets, it becomes a challenging task for novice users to know what are included in a dataset, how they can make use of them, and particularly, what queries should be asked. In this paper we analyse several types of candidate insightful queries and propose a framework to generate such queries and identify their relations. To verify our approach, we implemented our framework and evaluated its performance with benchmark and real world datasets.

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    • Published in

      cover image ACM Conferences
      K-CAP '13: Proceedings of the seventh international conference on Knowledge capture
      June 2013
      160 pages
      ISBN:9781450321020
      DOI:10.1145/2479832

      Copyright © 2013 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 June 2013

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      Acceptance Rates

      K-CAP '13 Paper Acceptance Rate13of60submissions,22%Overall Acceptance Rate55of198submissions,28%

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