Purpose-This article proposes a brand new ontology development methodology, called Yet Another Methodology for Ontology (YAMO) and demonstrates step by step the building of a formally defined largescale faceted ontology for food. Design/Methodology/Approach-YAMO is motivated by facet analysis and analytico-synthetic classification approach. The approach ensures the quality of the system, more precisely; it makes the system flexible, hospitable, extensible, sturdy, dense and complete. YAMO consists of two way approach: top-down and bottom-up. Based on YAMO, domain food, formally defined large scale ontology is designed. To design the ontology and to define the scope and boundary of the domain, a group of people were interviewed to get a practical overview, which provided more insight to the theoretical understanding of the domain. Findings-The result obtained from evaluating the ontology is a very impressive one. Based on the study it was found that 94% of the user's queries were successfully met. This shows the efficiency and effectiveness of the YAMO methodology. An evaluator opined that the ontology is very deep and exhaustive. Practical implications-The authors envision is that the current work will have great implications on the ontology developers and practitioners. YAMO will allow the ontologists to construct a very deep, high quality and large-scale ontology. Originality-This paper illustrates a brand new ontology development methodology and demonstrates how the methodology can be applied to build large-scale high quality domain ontology.

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Access to this document was granted through an Emerald subscription provided by 604668 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose-The purpose of this editorial is to provide an overview of the theme of this special issue and also to introduce discussions of the subject. Design/Methodology/Approach-This editorial briefly describes the theme of this special issue on knowledge modelling and knowledge management. The background research and activities that lead to this special issue are highlighted. The papers are introduced by describing their contribution to the state-of-the-art research. Findings-This editorial discusses why this special issue is significant and timely. It explores the state-of-the-art research work in the area of knowledge modelling and knowledge management which have been discussed in detail throughout this issue. Originality/value-This editorial helps the readers to form an initial idea on knowledge modelling and knowledge management. It may help readers to have an initial understanding of the research that has been presented in this issue.

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