作者: Elena Simperl , Markus Luczak-Rösch , None
DOI: 10.1017/S0269888913000192
关键词: Ontology-based data integration 、 Semantic Web 、 Process ontology 、 Upper ontology 、 Ontology (information science) 、 Ontology engineering 、 Computer science 、 Empirical research 、 Knowledge management 、 Best practice
摘要: Building ontologies in a collaborative and increasingly community-driven fashion has become central paradigm of modern ontology engineering. This understanding engineering processes is the result intensive theoretical empirical research within Semantic Web community, supported by technology developments such as 2.0. Over 6 years after publication first methodology for engineering, it generally acknowledged that, order to be useful, but also economically feasible, should developed maintained manner, with help fully-fledged environments providing dedicated support collaboration user participation. Wikis, similar communication platforms enabling stakeholders exchange ideas discuss modeling decisions are probably most important technological components environments. In addition, process-driven methodologies assist team throughout life cycle, provide empirically grounded best practices guidelines optimizing development results real-world projects. The goal this article analyze state art field We will survey several outstanding methodologies, methods techniques that have emerged last years, present popular environments, which can utilized carry out, or facilitate specific activities methodologies. A discussion open issues identified concludes provides roadmap future lively promising field.