Creating a web analysis and visualization environment
Computer Networks and ISDN Systems
Personal ontologies for web navigation
Proceedings of the ninth international conference on Information and knowledge management
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Conceptual Graphs and Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Uncovering the Conceptual Models in Ripple Down Rules
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Using Document Structures for Personal Ontologies and User Modeling
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Evolutionary document management and retrieval for specialized domains on the web
International Journal of Human-Computer Studies
Practical Software Engineering: An Interactive Case-Study Approach to Information Systems Development
Addressing the Ontology Acquisition Bottleneck Through Reverse Ontological Engineering
Knowledge and Information Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Towards reconciling use cases via controlled language and graphical models
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Formal concept analysis in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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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.