Marcel Kvassay

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In spite of rapid advances in multimedia and interactive technologies, enterprise users prefer to battle with email spam and overload rather than lose the benefits of communicating, collaborating and solving business tasks over email. Many aspects of email have significantly improved over time, but its overall integration with the enterprise environment(More)
The article provides a brief overview of Social Network Analysis (SNA) and its potential for exploiting the wealth of information buried in the email archives of business and private entities. Within the scope of the COMMIUS 1 project, we built a proof-of-concept prototype in Java, which used the spreading activation algorithm to reconstruct various aspects(More)
In this paper we provide a brief survey of agent based simulation (ABS) platforms and evaluate two of them --- NetLogo and MASON --- by implementing an exemplary scenario in the context of human behavior modeling. We define twelve evaluation points, which we discuss for both of the evaluated systems. The purpose of our evaluation is to identify the best ABS(More)
In this paper we describe a lightweight approach for semantic interoperability suitable for small and micro enterprises. The approach is based on reusing the existing enterprise infrastructure – emails and documents – and enables lightweight semantic search and recommendation in order to fulfill interoperability tasks.
In this article, which is a report of work in progress, we explore the principles of Bayesian causal analysis broadly along the lines formulated by Judea Pearl and other researchers. We apply these principles in the context of human behaviour modelling and aim at developing intelligent data analysis methods for large scale data sets, more specifically for(More)
This article proposes a combination of object-oriented and ontology-based approaches for real-time interworking of human behaviour models in the context of agent-based simulation systems. We present a conceptual design of a semantic intermediation framework, including the split of the responsibilities between the intermediation ontology and software code.(More)
This article describes our work in progress and deals with methods and approaches for handling internal complexity emerging in highly realistic models of human behaviour. We present a new modelling approach to human decision making along with a conceptual design of several methods targeting selected aspects of complexity, such as the combinatorial explosion(More)
In this article, which describes our current work in progress, we demonstrate the potential and universality of graph-based methods for analysing data from computer simulations of human behaviour. The first method, MASDA algorithm, analyses action sequences through an ontology-driven process of abstraction, and aims at isolating strategic sequences and(More)