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Within the paper we discuss the issue of designing well-founded contextual knowledge bases. Following the base idea that contextualization is a vital part of conceptualization, we extend the definitions of selected notions of OntoClean, the well-known method of assessment of taxonomies, towards contextual approach. This allows us to formulate a set of desirable qualities for context-semantic knowledge...
Decision support systems (DSS) are aimed at helping decision makers in devising appropriate solutions to business problems while negotiation support systems (NSS) are aimed at assisting stakeholders in reaching mutually satisfactory decisions. The successful use of these systems involves a combination of human ability and computer support. An implicit assumption underlying their use is that the business...
A typical method to discover phenotypic descriptions of an ordered set of differential gene expressions is to identify pathway enrichments. There are many pathways that are highly related or maybe redundant across different databases making their consolidation an essential step when interpreting these results. Two methods of pathway consolidation are explored, one utilizes the gene set of the most...
Manual ontology development is clearly a strenuous task. Whilst a variety of ontological engineering methodologies exist, their actual application is far from trivial, mainly due to the widely diverse nature of the tasks involved. In this work we study these tasks and identify the different types of human experts that are best suited to perform each one. As a result, we present a cooperative version...
Generating realistic test data is a major problem for software testers. Realistic test data generation for certain input types is hard to automate and therefore laborious. We propose a novel automated solution to test data generation that exploits existing web services as sources of realistic test data. Our approach is capable of generating realistic test data and also generating data based on tester-specified...
Unlike social norms, which are the unplanned, unexpected result of the interactions among human individuals, organizational norms are stipulated by the organization with the purpose of constraining the behavior of organizational actors in the context of business processes. We propose a simple conceptual model of organizations and organizational norms as an extension of the metamodel of the Agent-Object-Relationship...
In allusion to the shortcoming of the existing methods for concept similarity computation that just limited to a certain aspect of concept and can't fully reflect the degree of concept similarity, this paper presents a calculate method of the concept semantic similarity in heterogeneous ontologies. Joining the concept of bridge-connected, this paper improves the classical computation methods of similarity...
It has become evident in recent times that curriculums do not sufficiently cover the expected employment skill needs of graduates to be job ready directly post obtaining their qualifications. In order to assure an appropriately trained and job ready graduate workforce, it is imperative that employer expectations are incorporated into curriculums offered to students who are hoping to be trained for...
Retrieval of relevant document from a huge set of data is a crucial task particularly in an age when world wide web literally crisscrosses the world. The task becomes all the more difficult if the process involves recovery of fuzzy data. Then, not only does the text comparison between query and document become sufficient, but at the same time concept matching also assumes importance. Our primary aim...
Cooperative design of complex artifacts always involves several specialists who necessarily have different technical cultures. Multi-agent systems mixing artificial and human agents are a key technology for supporting collaborative work. The paper first includes a brief description of such a supporting architecture, emphasizing the role of personal assistant agents. Personal assistant agents engage...
Hyperlinks and forms let humans navigate with ease through websites they have never seen before. In contrast, automated agents can only perform preprogrammed actions on Web services, reducing their generality and restricting their usefulness to a specialized domain. Many of the employed services call themselves RESTful, although they neglect the hypermedia constraint as defined by Roy T. Fielding,...
Traditional cyber security modeling approaches either do not explicitly consider system participants or assume a fixed set of participant behaviors that are independent of the system. Increasingly, accumulated cyber security data indicate that system participants can play an important role in the creation or elimination of cyber security vulnerabilities. Thus, there is a need for cyber security analysis...
The paper focuses on studying a new problem in enterprise data integration, i.e. attribute correspondences identification in multilingual schemas, and proposes a multilingual ontology-based method for the problem. In this paper, the problem is analyzed through comparing two schemas of a large financial corporate of China. And based on the multilingual ontology, attribute correspondences are identified...
In this paper we present work-in-progress - a technology platform for Social Collaboration in the context of Personalized Information Extraction. In particular, we consider elements of user-centered software engineering as it converges on the development of folksonomies. Results from our work-in-progress demonstrate to what extent non-IT users can apply natural language when managing their IT-based...
Anticipating users' actions and automating them is an important goal in intelligent environments. This work presents IntelliDomo's learning algorithm, a data mining approach applied to home automation systems. This algorithm is able to acquire users' habits just by processing the data collected from the full environment. IntelliDomo can generate production rules for each behavior pattern in order...
We are interested in dynamically setting up communication between agents which aim to minimize the communication load, based on formal ontologies and on the proper use of interaction mechanisms. To overcome the reasoning complexity we create a simplified ontology version by removing OWL constructs such as inverse roles, nominals, number restrictions.
Ontology is becoming popular as a powerful way to structure the knowledge sources for complex systems. Modeling of evolvable ontologies turns out to be a research challenge for many decades. This paper presents how the agent technology can be used to update their ontologies while they are in execution. This solution has been designed to work on a primitive ontology at the beginning. Interaction among...
In this paper, an ontology is regarded as an information system in formal concept analysis. Then, based on theories of concepts, a formal context in ontologies defined by a set of properties is conceptualized as a concept with the extent and the intent. There are two kinds of properties implied by a formal context: one is the set of properties in its intent and another is the set of default properties...
Nowadays, modeling complex domains such those involving the description of human behaviors is still a challenge. An answer is to apply the Domain Specific Languages principle, which advocates that Domain Experts should model themselves their knowledge in order to avoid misunderstanding or loss of information during the knowledge elicitation phase. But Domain Experts must then be provided a modeling...
This paper describes how natural language processing and ontologies are exploited for automatic text categorisation. The approach introduced is part of the MANENT system, an infrastructure for integrating, structuring and searching Digital Libraries. The procedure of structural information extraction, and of the automatic classification of the records according to natural language understanding and...
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