Agile and Iterative Development: A Manager's Guide
Agile and Iterative Development: A Manager's Guide
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
Rethinking the Semantic Web, Part 1
IEEE Internet Computing
PARMENIDES: Towards Business Intelligence Discovery from Web Data
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Evolva: A Comprehensive Approach to Ontology Evolution
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Reusing ontologies on the Semantic Web: A feasibility study
Data & Knowledge Engineering
Semantic Web Programming
Ontology Classification for Semantic-Web-Based Software Engineering
IEEE Transactions on Services Computing
Swoop: A Web Ontology Editing Browser
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology design patterns for semantic web content
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Ontology engineering revisited: an iterative case study
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Ontology management and evolution for business intelligence
International Journal of Information Management: The Journal for Information Professionals
MOETA: a novel text-mining model for collecting and analysing competitive intelligence
International Journal of Advanced Media and Communication
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The company, product and event (CoProE) ontology is an ontology that is being developed for use as a component of DAVID, a text mining system for business intelligence. The main design principle of the ontology, as well as the whole text miming system, is based on heavy reuse of existing freely available resources. This paper introduces the ontology and the domain knowledge component that utilizes it. In addition to describing the ontology and its design principles, we consider the ways in which the design process of the domain knowledge model and the CoProE ontology facilitated the design of our whole business intelligence text mining system.