Identification of ontologies to support information systems development

Beydoun, Ghassan; Low, Graham; García‐Sánchez, Francisco; Valencia‐García, Rafael; Martı́nez-Béjar, Rodrigo

doi:10.1016/j.is.2014.05.002

Cited by 40 publications

(18 citation statements)

References 25 publications

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“…However, a preliminary step is identifying the relevant domain ontology (ies) for the whole development lifecycle of the MAS. In recent work [9], we developed a retrieval mechanism based on requirement models identified using goal analysis. In other words, given an ontologies repository it becomes a matter of providing the goal models to identify the required ontologies.…”

Section: A Domain Ontology Describing Domain Concepts and Theirmentioning

confidence: 99%

“…Increasing interest in engineering a class of distributed intelligent systems, Multi Agent Systems, has led to growing attention to higher level software engineering reuse issues. This includes reuse of models, reuse of project development know-how, as well as that of project management knowledge [9]. As in any software development project, reuse should be of concern also to Multi Agent Systems (MAS) development.…”

Section: Introductionmentioning

confidence: 99%

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Centering ontologies in agent oriented software engineering processes

Beydoun

Low

2016

Complex Intell. Syst.

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A plethora of Multi Agent Systems (MAS) development methodologies exists and all compete for prominence. This paper advocates unification of best of breed activities from these methodologies and examines two existing approaches for unifying access to them. It proposes an alternative approach that focusses on the use of domain knowledge through ontologies as offering the best potential for unifying access to them. The reliance on ontologies will provide flexibility in the process and workproducts use within the methodology. The focus on domain knowledge will reduce the number of mandatory methodological tasks and at the same time create scope for reuse with respect to both system designs and components. The paper will further sketch and argue for a full software development lifecycle for MAS where ontologies expressing domain knowledge are the central artifacts.

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Section: A Domain Ontology Describing Domain Concepts and Theirmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Centering ontologies in agent oriented software engineering processes

Beydoun

Low

2016

Complex Intell. Syst.

Self Cite

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“…Ontologies are a core component of the Semantic Web, and are required by machines to be able to intelligently reason and infer data (Pulido et al, 2006). An ontology is a set of data elements within a domain that are linked together to denote the types, proper-ties and relationships between them (Beydoun et al, 2014). Ontologies contribute to resolve semantic heterogeneity by providing a shared comprehension of a given domain of interest (Nacer and Aissani, 2014).…”

Section: The Semantic Web (Web 30)mentioning

confidence: 99%

CIAO-WPS - Automatic and Intelligent Orchestration of Geospatial Web Services using Semantic Web (Web 3.0) Technologies

Tan

West

McMeekin

et al. 2016

Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management

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Current geospatial datasets and web services are disparate, obscure and difficult to expose to the world. With the advent of geospatial processes utilizing temporal data and big data, along with datasets continually increasing in size, the problem of underexposed datasets and web services is amplified. Current text search capabilities do not sufficiently expose web services and datasets for use in on-the-fly geospatial use cases. End users are required to know the exact location of these online resources, their format and what they do. For example, to locate an OGC (Open Geospatial Consortium-http://www.opengeospatial.org)-compliant WPS (Web Processing Service) that performs flood modelling, a Google Search for "Flood Modelling WPS" is insufficient to find relevant results. This paper proposes the integration of semantic web concepts and technologies into geospatial datasets and web services, making it possible to link these datasets and services via functionality, the inputs required and the outputs produced. To do so requires the extensive use of metadata to allow for a standardised form of description of their function. There are already ISO (International Organization for Standardization-www.iso.org) standards in place (ISO 19115-1:2014) that specify the schema required for describing geographic information and services. The use of ontologies and AI (Artificial Intelligence) then allows for the intelligent determination of which web services and datasets to use, and in what order they are to be used to achieve the desired final output. This research aims to provide a method to automatically and intelligently chain together web services and datasets to assist in a geospatial analyst's productivity. A simple prototype termed CIAO-WPS (Chet's Intelligent, Automatically-Orchestrated Web Processing Services) is created as a proof of concept, using the Python programming language. The prototype seeks to reinforce ideas in regards to pathing and cost constraints, as well as explore overlooked designs.

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“…There are a number of ways to analyze models and metamodels [10]- [12]. We applied the interoperability framework [9] (Fig.…”

Section: Research Approach and Analysismentioning

confidence: 99%

Adaptive Enterprise Architecture Modelling

Gill

Qureshi²

2015

JSW

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Agile or adaptive enterprise architecture driven software development approach requires a modelling standard to describe the existing and to-be developed artifacts both at the high enterprise level and low, detailed level. However, a single modelling standard may not be used off-the-shelf to fully support the modelling needs of an adaptive enterprise architecture driven software development needs. The modelling standards need to be systematically analyzed and integrated for a particular modelling context. This paper reviews two well-known modeling standards ArchiMate and BPMN by using the interoperability research framework. Based on the syntax, semantics and structural analysis of these two modelling standards' metamodels, it proposes a hybrid adaptive enterprise architecture modelling approach for describing and analysing the artifacts both at the high enterprise level and low, detailed level for a particular context. This paper has both theoretical and practical implications for researchers and practitioners pursuing to integrate various modelling standards.

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Identification of ontologies to support information systems development

Cited by 40 publications

References 25 publications

Centering ontologies in agent oriented software engineering processes

Centering ontologies in agent oriented software engineering processes

CIAO-WPS - Automatic and Intelligent Orchestration of Geospatial Web Services using Semantic Web (Web 3.0) Technologies

Adaptive Enterprise Architecture Modelling

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