Keet, CMSuarez-Figueroa, MCPoveda-Villalon, M2014-05-132014-05-132013-09Keet, C.M, Suarez-Figueroa, M.C and Poveda-Villalon, M. 2013. The current landscape of pitfalls in Ontologies. In: 5th International Conference on Knowledge Engineering and Ontology Development (KEOD'13), Vilamoura, Portugal, 19-22 September 2013http://oa.upm.es/21895/1/The_Current_Landscape_of_Pitfalls_in_Ontologies.pdfhttp://hdl.handle.net/10204/74015th International Conference on Knowledge Engineering and Ontology Development (KEOD'13), Vilamoura, Portugal, 19-22 September 2013A growing number of ontologies are already available thanks to development initiatives in many different fields. In such ontology developments, developers must tackle a wide range of difficulties and handicaps, which can result in the appearance of anomalies in the resulting ontologies. Therefore, ontology evaluation plays a key role in ontology development projects. OOPS! is an on-line tool that automatically detects pitfalls, considered as potential errors or problems, and thus may help ontology developers to improve their ontologies. To gain insight in the existence of pitfalls and to assess whether there are differences among ontologies developed by novices, a random set of already scanned ontologies, and existing well-known ones, data of 406 OWL ontologies were analysed on OOPS!’s 21 pitfalls, of which 24 ontologies were also examined manually on the detected pitfalls. The various analyses performed show only minor differences between the three sets of ontologies, therewith providing a general landscape of pitfalls in ontologies.enOntologiesOntology pitfallsOntology qualityConference PresentationKeet, C., Suarez-Figueroa, M., & Poveda-Villalon, M. (2013). The current landscape of pitfalls in Ontologies. KEOD'13. http://hdl.handle.net/10204/7401Keet, CM, MC Suarez-Figueroa, and M Poveda-Villalon. "The current landscape of pitfalls in Ontologies." (2013): http://hdl.handle.net/10204/7401Keet C, Suarez-Figueroa M, Poveda-Villalon M, The current landscape of pitfalls in Ontologies; KEOD'13; 2013. http://hdl.handle.net/10204/7401 .TY - Conference Presentation AU - Keet, CM AU - Suarez-Figueroa, MC AU - Poveda-Villalon, M AB - A growing number of ontologies are already available thanks to development initiatives in many different fields. In such ontology developments, developers must tackle a wide range of difficulties and handicaps, which can result in the appearance of anomalies in the resulting ontologies. Therefore, ontology evaluation plays a key role in ontology development projects. OOPS! is an on-line tool that automatically detects pitfalls, considered as potential errors or problems, and thus may help ontology developers to improve their ontologies. To gain insight in the existence of pitfalls and to assess whether there are differences among ontologies developed by novices, a random set of already scanned ontologies, and existing well-known ones, data of 406 OWL ontologies were analysed on OOPS!’s 21 pitfalls, of which 24 ontologies were also examined manually on the detected pitfalls. The various analyses performed show only minor differences between the three sets of ontologies, therewith providing a general landscape of pitfalls in ontologies. DA - 2013-09 DB - ResearchSpace DP - CSIR KW - Ontologies KW - Ontology pitfalls KW - Ontology quality LK - https://researchspace.csir.co.za PY - 2013 T1 - The current landscape of pitfalls in Ontologies TI - The current landscape of pitfalls in Ontologies UR - http://hdl.handle.net/10204/7401 ER -