Design of class hierarchies based on concept (Galois) lattices
Theory and Practice of Object Systems - Special issue high availability in CORBA
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A methodology for ontology integration
Proceedings of the 1st international conference on Knowledge capture
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Merging Inheritance Hierarchies for Database Integration
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
What's happening in semantic web: and what FCA could have to do with it
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Ontology-based sentiment analysis of twitter posts
Expert Systems with Applications: An International Journal
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Although it is well recognised that ontologies have an important role to play in data integration, the lack of established ontologies in domains of interest often makes ontology-based integration a difficult task. Previous research on ontology design methodologies shows that manual construction of ontologies is a complex process and it is very hard for a designer to develop a consistent ontology. This paper contributes a formal and semi-automated approach for the development of ontologies in the utility infrastructure domain. It arises from a practical industrial problem of integrating the vast network of underground asset records. These asset records are typically autonomous, i.e. owned and maintained by individual organisations, and are encoded in an uncoordinated way, i.e. without consideration of interoperability with other utility information systems. The proposed approach is based on formal concept analysis (FCA) which is a mathematical approach for abstracting from attribute-based object descriptions. This paper describes techniques developed to support utility ontology development, with a focus on resolving implicit and mismatch data. Some experiments have been carried out to construct a utility ontology with data from utility companies. Though issues addressed in the paper arise in utility ontology development, we anticipate that they should be interesting and relevant to other application domains.