Linguistic data summaries under bipolar-type user intentions

01 February 2014 → 31 January 2018
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
linguistic summaries bipolarity of preferences database querying contextual database querying contextual linguistic summaries data mining
Project description

The possibility to extend the concept of linguistic data summaries employing the bipolarity of user preferences are studied. Yager's linguistic summaries may be derived using a fuzzy linguistic querying interface. We look for a similar analogy between bipolar queries and the extended form of linguistic summaries. We propose an extension of bipolar queries, namely the "contextual" queries and derive from them the "contextual" data summaries..