Integrating data mining into business processes becomes crucial for business today. Modern business process management frameworks provide great support for flexible design, deployment and management of business processes. However, integrating complex data mining services into such frameworks is not trivial due to unclear definitions of user roles and missing flexible data mining services as wel...

This paper introduces Input/Output Argumentation Frameworks, a novel approach to characterize the behavior of an argumentation framework as a sort of black box exposing a well-defined external interface. As a starting point, we define the novel notion of semantics decomposability and analyze complete, stable, grounded and preferred semantics in this respect. Then we show as a main result that, ...

A comprehensive requirements engineering (RE) method was evaluated to assess its value for practitioners. A literature search brought up two evaluation frameworks that were used as the basis for both theoretical and empirical evaluations; one of the frameworks was used as such while a lightweight adaptation was developed from the other one. The different assessments proved to complement each ot...

Organizational knowledge is a sustainable competitive advantage. Recently, several methods for sharing and dissemination this knowledge have emerged, among them is the idea of trading knowledge in marketplaces. Currently e-marketplaces for knowledge goods proliferate. In this study, we investigate the characteristics that allow the trading of knowledge to model as a tradeable good. As not all t...

The phrase-based and N-gram-based SMT frameworks complement each other. While the former is better able to memorize, the latter provides a more principled model that captures dependencies across phrasal boundaries. Some work has been done to combine insights from these two frameworks. A recent successful attempt showed the advantage of using phrasebased search on top of an N-gram-based model. W...

ACKNOWLEDGEMENTS No-take marine reserves are often implemented to recover overfished stocks. The extent to which these reserves have met their objectives is unclear. Current methods for reserve evaluation are not standardized and rely solely on biological data, excluding the socioeconomic and governance dimensions. Existing frameworks do not provide a tool to perform the analysis. Existing fram...

In this emerging trend, it is necessary to understand the recent developments taking place in the field of opinion mining and sentiment analysis (OMSA) as part of text mining in social networks, which plays an important role for decision making process to the organization or company, Government and general public. In this paper, we present the recent role of OMSA in Social Networks with differe...

Among the abundance of generalizations of abstract argumentation frameworks, the formalism of abstract dialectical frameworks (ADFs) proved to be powerful in modelling various argumentation problems. Implementations of reasoning tasks that come within ADFs struggle with their high computational complexity. Thus methods simplifying the evaluation process are required. One such method is splittin...

Dung-style abstract argumentation theory centers on argumentation frameworks and acceptance functions. The latter take as input a framework and return sets of labelings. This methodology assumes full awareness of the arguments relevant to the evaluation. There are two reasons why this is not satisfactory. Firstly, full awareness is, in general, not a realistic assumption. Second, frameworks hav...

The compliance verification task amounts to establishing if the execution of a system, given in terms of observed events, does respect a given property. In the past both the frameworks of Temporal Logics and Logic Programming have been extensively exploited to assess compliance. In this work we review the LTL and the Abductive Logic Programming frameworks in the light of compliance evaluation, ...