Fast, Cheap and Out of Control: A Zero Curation Model for Ontology Development

Good, Benjamin M.; Tranfield, Erin M.; Tan, Pei‐Hua; Shehata, Marlene; Singhera, Gurpreet K.; Gosselink, John V.; Okon, Elena B.; Wilkinson, Mark D.

doi:10.1142/9789812701626_0013

Cited by 22 publications

(15 citation statements)

References 9 publications

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“…The engineering methodologies analyzed are: the Enterprise Methodology proposed by Uschold and King [10]; the TOVE Methodology proposed by Gruninger and Fox [11]; the Bernaras methodology proposed by Bernaras et al [12]; the METHONTOLOGY methodology proposed by Fernandez et al [35]; the SEN-SUS methodology proposed by Swartout et al [14]; the DILIGENT methodology proposed by Pinto et al [15], [16]; the GM methodology proposed by Garcia et al [17]; the iCAPTURer Methodology proposed by Good et al [36] and the NeOn methodology 11 . Table 1 provides a summary of the methodologies and the results of the analysis against the criteria.…”

Section: Review Of Current Methodologiesmentioning

confidence: 99%

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Developing Ontologies within Decentralised Settings

et al. 2010

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Abstract. This paper addresses two research questions: "How should a well-engineered methodology facilitate the development of ontologies within communities of practice?" and "What methodology should be used?" If ontologies are to be developed by communities then the ontology development life cycle should be better understood within this context. This paper presents the Melting Point (MP), a proposed new methodology for developing ontologies within decentralized settings. It describes how MP was developed by taking best practices from other methodologies, provides details on recommended steps and recommended processes, and compares MP with alternatives. The methodology presented here is the product of direct first-hand experience and observation of biological communities of practice in which some of the authors have been involved. The Melting Point is a methodology engineered for decentralised communities of practice for which the designers of technology and the users may be the same group. As such, MP provides a potential foundation for the establishment of standard practices for ontology engineering.

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Section: Review Of Current Methodologiesmentioning

confidence: 99%

“…Unlike GM and DILIGENT, iCapturer [36] makes use of text-mining approaches, such as text-to-onto, to identify important terms and to suggest candidate ontological relationships between them.…”

Section: A8 the Icapturer Methodologymentioning

confidence: 99%

Developing Ontologies within Decentralised Settings

et al. 2010

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“…In addition, ontologies cannot be easily adapted for reuse in a different domain and have shown to cost large amounts of money to develop. An example is the Gene Ontology, a well known ontology in the biomedical field, is known to have cost at least an estimated $16 million at the end of (Good et al, 2006).…”

Section: Focus Groups Findingsmentioning

confidence: 99%

The design and evaluation of EKE, a semi-automated email knowledge extraction tool

Tedmori

Jackson

2012

Knowledge Management Research & Practice

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“…5 We collected each tool's activity information daily and aggregated it on the challenge Web site so that users could track their activity levels (similar to a computer game). Different tools computed the "number of facts entered" differently, so adding information about a paper in one tool might count as a different number of operations in another tool.…”

Section: Participationmentioning

confidence: 99%