An OpenSEA Framework Using ISO24707 Common Logic

Bridges, Shaun; Polovina, Simon

doi:10.1109/incos.2010.92

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…This section draws on the research of (Bridges, 2010;Bridges & Polovina, 2010). One of the problems faced was the task of viewing terms abstractly, even if they are as well defined as those in the TOGAF9 material.…”

Section: Developing An Upper Ontology From Togafmentioning

confidence: 99%

OpenSEA: A Framework for Semantic Interoperation between Enterprises

Bridges¹,

Schiffel

Polovina

2011

Next Generation Data Technologies for Collective Computational Intelligence

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The modus-operandi for information systems is shifting. Agility and adaptability will be the kingmakers in the decentralising enterprise architecture where on-premise and cloud systems have to be combined seamlessly. At the same time the wealth of data available to organisations needs to be understood and interpreted so as to provide information and inferences needed to generate the knowledge that drives competitive advantage. This chapter offers a high-level introduction to OpenSEA, a framework that combines the open semantics of TOGAF with the open syntax of ISO 24707:2007 Common Logic to provide an Open Semantic Enterprise Architecture.Because of its open nature it is free to adopt and extend, yet retains a root commonality to ensure all participating agents can agree on a common understanding without ambiguity, regardless of the underlying ontology or logic system used.

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Section: Developing An Upper Ontology From Togafmentioning

confidence: 99%

OpenSEA: A Framework for Semantic Interoperation between Enterprises

Bridges¹,

Schiffel

Polovina

2011

Next Generation Data Technologies for Collective Computational Intelligence

Self Cite

View full text Add to dashboard Cite

show abstract

A knowledge capture approach for directly acquiring team mental models

Delugach

Etzkorn

Carpenter

et al. 2016

International Journal of Human-Computer Studies

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A Transaction-Oriented Architecture for Structuring Unstructured Information in Enterprise Applications

Polovina

Andrews

2013

Enterprise Resource Planning

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As 80-85% of all corporate information remains unstructured, outside of the processing scope of enterprise systems, many enterprises rely on Information Systems that cause them to risk transactions that are based on lack of information (errors of omission) or misleading information (errors of commission). To address this concern, the fundamental business concept of monetary transactions is extended to include qualitative business concepts. A Transaction Concept (TC) is accordingly identified that provides a structure for these unstructured but vital aspects of business transactions. Based on REA (Resources, Events, Agents) and modelled using Conceptual Graphs (CGs) and Formal Concept Analysis (FCA), the TC provides businesses with a more balanced view of the transactions they engage in and a means of discovering new transactions that they might have otherwise missed. A simple example is provided that illustrates this integration and reveals a key missing element. This example is supported by reference to a wide range of case studies and application areas that demonstrate the added value of the TC. The TC is then advanced into a Transaction-Oriented Architecture (TOA). The TOA provides the framework by which an enterprise’s business processes are orchestrated according to the TC. TOA thus brings Service-Oriented Architecture (SOA) and the productivity of enterprise applications to the height of the real, transactional world that enterprises actually operate in.

show abstract

An OpenSEA Framework Using ISO24707 Common Logic

Cited by 4 publications

References 2 publications

OpenSEA: A Framework for Semantic Interoperation between Enterprises

OpenSEA: A Framework for Semantic Interoperation between Enterprises

A knowledge capture approach for directly acquiring team mental models

A Transaction-Oriented Architecture for Structuring Unstructured Information in Enterprise Applications

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