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A query language for discovering semantic associations, Part II: sample queries and query evaluation

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  • Timo Niemi
  • Janne Jämsen

Abstract

In our query language introduced in Part I (Niemi & Jämsen, in press) the user can formulate queries to find out (possibly complex) semantic relationships among entities. In this article we demonstrate the usage of our query language and discuss the new applications that it supports. We categorize several query types and give sample queries. The query types are categorized based on whether the entities specified in a query are known or unknown to the user in advance, and whether text information in documents is utilized. Natural language is used to represent the results of queries in order to facilitate correct interpretation by the user. We discuss briefly the issues related to the prototype implementation of the query language and show that an independent operation like Rho (Sheth et al., 2005; Anyanwu & Sheth, 2002, 2003), which presupposes entities of interest to be known in advance, is exceedingly inefficient in emulating the behavior of our query language. The discussion also covers potential problems, and challenges for future work.

Suggested Citation

  • Timo Niemi & Janne Jämsen, 2007. "A query language for discovering semantic associations, Part II: sample queries and query evaluation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(11), pages 1686-1700, September.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:11:p:1686-1700
    DOI: 10.1002/asi.20655
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