On the insufficiency of ontologies: problems in knowledge sharing and alternative solutions

Silva, Flávio S. Corrêa da; Vasconcelos, Wamberto; Robertson, David; Brilhante, V.; Melo, Ana Duarte; Finger, Marcelo; Agustí, Jaume

doi:10.1016/s0950-7051(01)00152-6

Cited by 33 publications

(22 citation statements)

References 15 publications

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“…Mapping techniques include the infonnation flow based process (Kalflohou and Schorlemmer, 2003), which uses a series of translation tables to analyse mapping relationships; the use of combinator logics to resolve issues in mapping between ontologies (Correa da Silva et. al.…”

Section: Formal Ontologiesmentioning

confidence: 99%

Manufacturing knowledge verification in design support systems

Cochrane

Young

Case

et al. 2009

International Journal of Production Research

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Section: Formal Ontologiesmentioning

confidence: 99%

Manufacturing knowledge verification in design support systems

Cochrane

Young

Case

et al. 2009

International Journal of Production Research

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“…Our own interest in the Barwise-Seligman theory of information flow arose from the observation by Corrêa da Silva and his colleagues [6] that, although ontologies were proposed as a silver bullet for knowledge sharing, for some knowledge-sharing scenarios the integration of ontologies by aligning, merging, or unifying concepts and relations as specified by their respective theories alone turned out to be insufficient. A closer analysis of these scenarios through the lenses of Barwise and Seligman's approach to information flow revealed that successful and reliable knowledge sharing between two systems went closely together with an agreed understanding of an existing duality between the merging of local ontologies into a global one, and the identification of particular situations in which the sharing of knowledge was going to take place.…”

Section: Duality In Knowledge Sharingmentioning

confidence: 99%

“…For our data sets, we used a small number of articles from the ACM Digital Library portal 6 focusing on the ACM Intelligence journal 7 . The formal context consists of 20 objects (articles) and 58 attributes (research areas).…”

Section: Formal Concept Analysismentioning

confidence: 99%

Using Formal Concept Analysis and Information Flow for Modelling and Sharing Common Semantics: Lessons Learnt and Emergent Issues

Kalfoglou

Schorlemmer²

2005

Conceptual Structures: Common Semantics for Sharing Knowledge

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Abstract. We have been witnessing an explosion of user involvement in knowledge creation, publication and access both from within and between organisations. This is partly due to the widespread adoption of Web technology. But, it also introduces new challenges for knowledge engineers, who have to find suitable ways for sharing and integrating all this knowledge in meaningful chunks. In this paper we are exposing our experiences in using two technologies for capturing, representing and modelling semantic integration that are relatively unknown to the integration practitioners: Information Flow and Formal Concept Analysis.

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“…In (Correa et al, 2002) four main problems have been detected: 1) reusing ontologies to engineer new ontologies is not straightforward; 2) ontologies do not provide adequate information when sharing inferences; 3) when reasoning under uncertainty, additional semantic links regarding inference are required, and 4) in a large scale system, sharing group knowledge should be appropriately studied.…”

Section: Ontologiesmentioning

confidence: 99%

Ontology for Integrating Heterogeneous Tools for Supervision, Fault Detection and Diagnosis

López

Meléndez

Suárez³

2005

Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics

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Abstract:The Distributed Supervision Systems that have been used extensively for the last fifteen years in the process industry are now evolving towards higher level solutions based on better connections between applications and processes that assure that data flows from the process to manage boards. Knowledge sharing seems to be a key issue in integrating these heterogeneous systems. In this paper we present an ontology as a first step to achieving semantic interoperability. The ontology has been conceived within the context of a complex integration problem, in which heterogeneous toolboxes cooperate to deal with several supervision, fault detection and diagnostic tasks for chemical processes. Regarding the current trends in ontology research, our proposal is consistent with top-level ontologies, as these kinds of ontologies seem to overcome the ontology integration problem. We describe a preliminary version of the ontology. The conceptualisation of control variables, system behaviour, supervision tasks, models and system properties is given. All attributes and relationships between each concept has been deployed. The ontology has been developed using Protete2000.

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On the insufficiency of ontologies: problems in knowledge sharing and alternative solutions

Cited by 33 publications

References 15 publications

Manufacturing knowledge verification in design support systems

Manufacturing knowledge verification in design support systems

Using Formal Concept Analysis and Information Flow for Modelling and Sharing Common Semantics: Lessons Learnt and Emergent Issues

Ontology for Integrating Heterogeneous Tools for Supervision, Fault Detection and Diagnosis

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