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Historical Ontologies

Part of the Text, Speech and Language Technology book series (TLTB, volume 36)

Static ontologies cannot capture the relevant contextual knowledge required for search and retrieval of historical documents because the entities in the world and the relations among them change over time. This demands that information represented in the ontology is temporally contextualized and that relations among entities that are relevant during different temporal intervals are available to support user queries. Furthermore, it is necessary to account for the fact that the course of the ontology’s evolution and the processes that have effected it are a part of the knowledge that should be brought to bear on the analysis of information at any given time. This chapter outlines a model for historical ontologies that is intended to meet these requirements

Keywords

Change Point Computational Linguistics Pearl Harbor Event Ontology AAAI Spring Symposium 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2007

Authors and Affiliations

  1. 1.Department of Computer ScienceVassar CollegePoughkeepsieUSA
  2. 2.Marist CollegePoughkeepsieUSA

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