Comparing Ontologies Using Multi-agent System and Knowledge Base

Håkansson, Anne; Hartung, Ronald L.; Moradian, Esmiralda; Wu, Dan

doi:10.1007/978-3-642-15384-6_14

Cited by 7 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the semantic level, Rodriguez and Egenhofer (2003) and Bai (2013) suggest an integrated assessment by comparing concepts using synonym sets, distinguishing features (specifically their functions, parts and attributes), and semantic neighborhoods, to obtain a measure of semantic similarity between concepts of different ontologies. A similar strategy was followed in Håkansson et al (2010), where a knowledge base is used to reason about the contents of the ontologies to find suitable concept matches. Corpus statistical information is another approach to semantic comparison; in particular, information content (Resnik, 1995), a technique that measures the level of informativeness of nodes in a taxonomy by calculating their probability of occurrence, is used in Cho et al (2007) to compute semantic similarity between concepts from different ontologies.…”

Section: Comparing Ontologiesmentioning

confidence: 99%

Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance

Yee-King

Wilmering

Rodriguez

et al. 2019

Front. Digit. Humanit.

View full text Add to dashboard Cite

In this paper, we present an analysis of feedback as it occurs in classroom-based and technology supported music instrument learning. Feedback is key to learning in music education and we have developed technology based on ideas from social media and audio annotation which aims to make feedback more effective. The analysis here aims to enhance our understanding of technology-mediated feedback. The result of this analysis is three ontologies describing feedback and feedback systems. First, we developed the teacher's ontology using a qualitative, observational approach to describe the types of feedback that music instrument tutors give to their students. We used this ontology to inform the design of an online music annotation platform for music students. Second, we develop the grounded ontology using a grounded theory approach, based on 2,000 annotations made by students and tutors using the annotation platform. We compare the grounded and teacher's ontologies by examining structural, semantic and expressive features. Through this comparison, we find that the grounded ontology includes elements of the teacher's ontology as well as elements relating to practical and social aspects of the annotation platform, while the teacher's ontology contains more domain knowledge. Third, we formalize the transactional capabilities of the platform into the third ontology, the platform ontology, which we have written in the OWL language, and show how this allows us to develop several practical use cases, including the use of semantic web capabilities in music education contexts.

show abstract

Section: Comparing Ontologiesmentioning

confidence: 99%

Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance

Yee-King

Wilmering

Rodriguez

et al. 2019

Front. Digit. Humanit.

View full text Add to dashboard Cite

show abstract

“…The decision-making uses production rules, in a knowledge base, that corresponds to the incoming data 15 . The decision-making can discern the relevant data by comparing the concepts and categories stored on the MINi-Me device with the incoming data and information using context comparison 16 with deductive and inductive reasoning.…”

Section: Contextual-based Decision-making Using Individualised Mini-mmentioning

confidence: 99%

An Infrastructure for Individualised and Intelligent Decision-making and Negotiation in Cyber-physical Systems

Håkansson

Hartung

2014

Procedia Computer Science

Self Cite

View full text Add to dashboard Cite

Cyber-physical systems are often developed with an emphasis on the network of computational elements and the linkage between the computational and physical elements. The physical elements are different kinds of Internet of Things devices that carry out desirable and valid tasks from instructions. However, due to the limitations of current individual-based secure products and delivery of services, the requisites of these products and services have started to increase and, hence, the requirements for intelligent automated, networked and mobile devices arise. The current state of communication between the elements in Internet of Things is data exchange and needs step up to next level to improve the interaction with the surrounding devices to augmenting human capabilities. This paper presents an infrastructure for individualised intelligent decision-making and negotiation in cyberphysical systems with smart Internet of Things devices. The decision-making and negotiation is based on individual preferences to provide the best individual-based solutions. The solution is applied to health care, which will permeate throughout the paper.

show abstract

“…Ontologies represent knowledge in a specific domain. The ontologies can define terminologies, describe domain, apply structures and build relationships between concepts (Håkansson, Hartung, Moradian, and Wu, 2010). Moreover, ontologies enable analysis and reuse of domain knowledge.…”

Section: Security Ontology Designmentioning

confidence: 99%

Ontology Design and Mapping for Building Secure E-Commerce Software

Moradian

Håkansson

2012

Proceedings of the 8th International Conference on Web Information Systems and Technologies

View full text Add to dashboard Cite

Developers are struggling with the challenging task of producing secure e-commerce software. Nonetheless, software insecurity remains an issue for e-commerce organisations. Software engineers are expected to possess knowledge in the software engineering area, as well as, security. In addition, they are required to understand and correctly identify the relationships between the security concepts. However, developers commonly lack this knowledge and consequently, security is often omitted during the engineering process. To support developers to face the challenge, we use ontology based techniques for structuring and representation of security knowledge. Categorization according to the security properties of confidentiality, integrity, and availability is needed to provide a holistic view over the security requirements, assets, security threats, and security controls. Moreover, we propose mapping of different security ontologies to provide traceability. For this purpose, we use meta-agents and software agents in multi-agent system. We present a development scenario of electronic invoice presentment system, where we demonstrate how usage of ontologies in combination with multi-agent system can improve security of e-commerce software systems.

show abstract

Comparing Ontologies Using Multi-agent System and Knowledge Base

Cited by 7 publications

References 11 publications

Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance

Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance

An Infrastructure for Individualised and Intelligent Decision-making and Negotiation in Cyber-physical Systems

Ontology Design and Mapping for Building Secure E-Commerce Software

Contact Info

Product

Resources

About