@article{dingOntologyResearchDevelopment2002,
  title = {Ontology Research and Development. {{Part}} 2 - a Review of Ontology Mapping and Evolving},
  author = {Ding, Ying and Foo, Schubert},
  date = {2002-10},
  journaltitle = {Journal of Information Science},
  volume = {28},
  pages = {375--388},
  issn = {1741-6485},
  doi = {10.1177/016555150202800503},
  url = {https://doi.org/10.1177/016555150202800503},
  abstract = {This is the second of a two-part paper to review ontology research and development, in particular, ontology mapping and evolving. Ontology is defined as a formal explicit specification of a shared conceptualization. Ontology itself is not a static model so that it must have the potential to capture changes of meanings and relations. As such, mapping and evolving ontologies is part of an essential task of ontology learning and development. Ontology mapping is concerned with reusing existing ontologies, expanding and combining them by some means and enabling a larger pool of information and knowledge in different domains to be integrated to support new communication and use. Ontology evolving, likewise, is concerned with maintaining existing ontologies and extending them as appropriate when new information or knowledge is acquired. It is apparent from the reviews that current research into semi-automatic or automatic ontology research in all the three aspects of generation, mapping and evolving have so far achieved limited success.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-2138281,automatic-knowledge-generation,automatic-knowledge-mapping,metadata,ontologies},
  number = {5}
}

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