Ontology-based verification of core model conformity in conceptual modeling

Heß, Claudia; Schlieder, Christoph

doi:10.1016/j.compenvurbsys.2005.08.009

Cited by 13 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It contributes to evaluating and understanding the differences and commonalities of knowledge structuring tools and methods to be proposed in the future by providing a common framework in which they are compared. Hess and Schlieder have verified the conformity between reference models and their domain models on a specific domain (Hess and Schlieder 2006). In this paper, we focus on developing a reference model of the knowledge structuring approach for SS.…”

Section: Reference Model For Knowledge Structuring In Sustainability mentioning

confidence: 99%

Toward knowledge structuring of sustainability science based on ontology engineering

et al. 2009

View full text Add to dashboard Cite

In sustainability science (SS), it is difficult to identify what needs to be solved, and it is also not clear how to solve the problems that are identified. There has been no consensus on the underlying question of ''What is structuring knowledge in SS?'' This paper focuses on knowledge structuring accompanied by supporting of thinking. It addresses the key challenges associated with knowledge structuring in SS, identifies the requirements for the structuring of knowledge, proposes a reference model, and develops an ontology-based mapping tool as a solution to one layer of the reference model. First, we identify the important requirements for SS knowledge structuring.Second, we develop a reference model composed of five layers based on three of the requirements. Third, we develop an ontology-based mapping tool at Layer 2 of the reference model for meeting the two major challenges for SS, namely, identifying what problems should be addressed in SS itself and proposing solutions for those problems. The tool is designed to store and retrieve information regarding SS, to provide access to a prototype ontology for SS, and to create multiple maps of conceptual chains depending on a user's interests and perspectives. Finally, we assess whether the developed tool successfully realizes the targeted part of the reference model for SS by examining the tool's conformity to the reference model, as well as its usability, effectiveness, and constraints. Although several issues were identified in the prototype ontology and the mapping tool, the study concluded that the mapping tool is useful enough to facilitate the function of Layer 2. In particular, the mapping tool can support thinking about SS from the viewpoint of: (a) finding new potentials and risks of technological countermeasures studied in SS; (b) helping users to get a more comprehensive picture of problems and their potential solutions; and (c) providing an effective opportunity to come up with new ideas that might not be thought of without such a tool.

show abstract

Section: Reference Model For Knowledge Structuring In Sustainability mentioning

confidence: 99%

Toward knowledge structuring of sustainability science based on ontology engineering

et al. 2009

View full text Add to dashboard Cite

show abstract

“…It contributes to evaluating and understanding the differences and commonalities of knowledge structuring tools and methods to be proposed in the future by providing a common framework in which they are compared. Hess and Schieder have verified the conformity between reference models and their domain models on a specific domain (Hess and Schlieder 2006).…”

Section: Developing a Reference Modelmentioning

confidence: 85%

Knowledge Structuring Tool for Sustainability Science Based on Ontology Engineering

Kumazawa

Saito

Kozaki

et al. 2009

2009 International Conference on Complex, Intelligent and Software Intensive Systems

View full text Add to dashboard Cite

show abstract

“…Several technologies being developed for the Semantic Web could help to realize an interactive knowledge sharing platform that would act as a forum for exchanging and integrating different forms of domain knowledge related to specific issues of sustainability science (Berners-Lee & Hendler, 2001;Wang et al, 2005;Hendler, 2005;McGuiness, 2004). In particular, controlled vocabularies enriched with explicit representation of semantic relationships between concepts in the vocabulary, known as "ontologies", are expected to play an important role in realizing a more intelligent role of computers in handling knowledge sharing and discovery in the Web (Hess & Schliedera, 2006;Kraines et al, 2005). However, in order to make it possible for automated computer technologies to add value to scientific knowledge publications through knowledge mining and integration, we must address the problem of semantic interoperability (Heflin & Hendler, 2000).…”

Section: Background and Related Researchmentioning

confidence: 99%

A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science

Kraines

Guo

2011

Data Sci. J.

View full text Add to dashboard Cite

Work towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe three types of sustainability science conceptualizations: situational knowledge, analytic methods, and scenario frameworks. Semantic statements were then created using this ontology to describe expert knowledge expressed in research proposals and papers related to sustainability science and in scenarios for achieving sustainable societies. Semantic matching based on logic and rule-based inference was used to quantify the conceptual overlap of semantic statements. This shows the semantic similarity of topics studied by different researchers in sustainability science, similarities that might be unknown to the researchers themselves.

show abstract

Ontology-based verification of core model conformity in conceptual modeling

Cited by 13 publications

References 4 publications

Toward knowledge structuring of sustainability science based on ontology engineering

Toward knowledge structuring of sustainability science based on ontology engineering

Knowledge Structuring Tool for Sustainability Science Based on Ontology Engineering

A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science

Contact Info

Product

Resources

About