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Journal on Data Semantics

, Volume 1, Issue 1, pp 31–55 | Cite as

On Modeling and Querying Concept Evolution

  • Siarhei BykauEmail author
  • John Mylopoulos
  • Flavio Rizzolo
  • Yannis Velegrakis
Original Article

Abstract

Entities and the concepts they instantiate evolve over time. For example, a corporate entity may have resulted from a series of mergers and splits, or a concept such as that of Whale may have evolved along with our understanding of the physical world. We propose a model for capturing and querying concept evolution. Our proposal extends an RDF-like model with temporal features and evolution operators. In addition, we provide a query language that exploits these extensions and supports historical queries. Moreover, we study how evolution information can be exploited to answer queries that are agnostic to evolution details (hence, evolution-unaware). For these, we propose dynamic programming algorithms and evaluate their efficiency and scalability by experimenting with both real and synthetic datasets.

Keywords

Evolution Possible worlds Steiner Trees RDF Query Answering 

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Siarhei Bykau
    • 1
    Email author
  • John Mylopoulos
    • 1
  • Flavio Rizzolo
    • 2
  • Yannis Velegrakis
    • 1
  1. 1.University of TrentoTrentoItaly
  2. 2.University of OttawaOttawaCanada

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