TY - CHAP
T1 - Ad-hoc and personal ontologies
T2 - Pacific Rim Knowledge AcquisitionWorkshop, PKAW 2006
AU - Richards, Debbie
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - personal ontology
KW - formal concept analysis
KW - ontological engineering
UR - http://www.scopus.com/inward/record.url?scp=77955904577&partnerID=8YFLogxK
U2 - 10.1007/11961239_2
DO - 10.1007/11961239_2
M3 - Chapter
SN - 9783540689553
VL - 4303 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 24
BT - Advances in knowledge acquisition and management
PB - Springer, Springer Nature
CY - Berlin, Germany
Y2 - 7 August 2006 through 8 August 2006
ER -