Ad-hoc and personal ontologies

a prototyping approach to ontology engineering

Debbie Richards*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)


Large scale or common ontologies tend to be developed using structured and formal techniques that can be equated to the Waterfall system development life cycle. However, in domains that are not stable or well-understood a prototyping approach may be useful to allow exploration and communication of ideas. Alternatively, the ontology may be part of an intermediate step or representation that provides structure, organization, guidance and semantics for another task or representation. Given that the ontology is not the end goal and possibly not reusable, the overhead of developing or maintaining such ontologies needs to be minimal. This paper reviews some of the research using ad-hoc, one-off and, sometimes, throw away, personal ontologies and provides an example of a simple technique which uses Formal Concept Analysis to automatically generate an ontology as needed from a number of data sources including propositional rule bases, use cases, historical cases, text and web documents covering a range of applications and problem domains.
Original languageEnglish
Title of host publicationAdvances in knowledge acquisition and management
Subtitle of host publicationPacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006 : revised selected papers
Place of PublicationBerlin, Germany
PublisherSpringer, Springer Nature
Number of pages12
Volume4303 LNAI
ISBN (Print)9783540689553
Publication statusPublished - 2006
EventPacific Rim Knowledge AcquisitionWorkshop, PKAW 2006 - Guilin, China
Duration: 7 Aug 20068 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4303 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherPacific Rim Knowledge AcquisitionWorkshop, PKAW 2006


  • personal ontology
  • formal concept analysis
  • ontological engineering

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