Krzysztof Kutt

Unifying business concepts for SMEs with Prosecco ontology

Knowledge management in business information systems often requires a unified dictionary of business concepts, that allows for a transparent integration of such systems. Thanks to it sharing the conceptualization between users becomes possible, and better decision support facilities can be provided. The Prosecco project is a research and development project aims to address the needs and constraints of small and medium enterprises by designing methods that will significantly improve BPM systems. In this paper we focus on the development of ontology-based mechanisms allowing for creating taxonomies of business logic concepts unifying system objects. Building a taxonomy of business concepts shared by number of SMEs targeted in the project and then turning it into a formalized ontology integrating the software components is a major challenge. The paper demonstrates how this ontology is used to unify vocabulary of business processes and rules. The original contribution of this research discussed in the paper is the design and implementation of the ontology, and the demonstration of its practical use in the system.

Affective Design Patterns in Computer Games. Scrollrunner Case Study.

The emotional state of the user is a new dimension in human-computer interaction, that can be used to improve the user experience. This is the domain of affective computing. In our work we focus on the applications of affective techniques in the design of video games. We assume that a change in the affective condition of a player can be detected based on the monitoring of physiological signals following the James-Lange theory of emotions. We propose the use of game design patterns introduced by Björk and Holopainen to build games. We identify a set of patterns that can be considered affective. Then we demonstrate how these patterns can be used in a design of a scroll-runner game. We address the problem of the calibration of measurements in order to reflect responses of individual users. We also provide results of practical experiments to verify our approach.

Overview of Selected Business Process Semantization Techniques

Business Process models help to visualize the processes of an organization. There exist several techniques of semantization of Business Processes. We give an overview of Business Process semantization techniques, focusing on the existing approaches in several Business Process Management tools. We also present the use of the existing techniques in the Prosecco (Processes Semantics Collaboration for Companies) research project.

Mobile platform for affective context-aware systems

Abstract In our work, we focus on detection of affective states, their proper identification and interpretation with use of wearable and mobile devices. We propose a data acquisition layer based on wearable devices able to gather physiological data, and we integrate it with mobile context-aware framework. Furthermore, we formulate a method for personalization of emotion detection. This solution offers a non-intrusive measurement thanks to the use of wearable devices, such as wristbands. As means of validation of our concepts we describe a series of experiments that we conducted.

Cognitive enhancement: How to increase chance of survival in the jungle?

Use of the information technology increases chances of adapting to changing environments. This applies to wild jungle as it applies to the urban information jungle. Modern wearable devices will allow to improve physical and augmented mental capabilities of humans. An interdisciplinary approach aimed at improving human mental processes is cognitive enhancement. There are many diverse methods in this approach, like: neuropharmacology, genetics, natural, social prevention, informatics. In this paper we aconsider opportunities of cognitive enhancement delivered by computer devices (cognitive technologies). Three systems proposals are provided and described, including an enhaced P3-speller.

Can the Generation of Test Cases for Unit Testing be Automated with Rules

In this paper a proposal of a new black-box unit testing method based on decision tables is given. Its main part is an automatic generation of test cases using rule-based specification of a module. The tables containing rules are described in a formalized way using the XTT2 design method for rule-based systems. The paper also provides a presentation of a prototypical framework uses proposed method. This tool was designed as an Eclipse plugin which generates JUnit test cases. The proposed method can automate and improve the software testing process.

Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors

The paper outlines a mobile sensor platform aimed at processing physiological data from wearable sensors. We discuss the requirements related to the use of low-cost portable devices in this scenario. Experimental analysis of four such devices, namely Microsoft Band 2, Empatica E4, eHealth Sensor Platform and BITalino (r)evolution is provided. Critical comparison of quality of HR and GSR signals leads to the conclusion that future works should focus on the BITalino, possibly combined with the MS Band 2 in some cases. This work is a foundation for possible applications in affective computing and telemedicine.

Semantically Enhanced Navigation System Using Augmented Reality

We present a navigation system combining augmented reality with semantic annotations of POIs. The prototype was implemented using regular Android smartphone and Google Cardboard. For semantic annotations we use RDF, SPARQL and a triplestore on the server. We developed a semantic information system integrated with a basic augmented reality interface.

Semantic Annotations for Mediation of Complex Rule Systems

Design of Business Intelligence systems capable of effectively handling a domain knowledge is a well known, but currently not solved challenge for both Software and Knowledge Engineers. There exist several approaches to extract and model the Business Knowledge, most notably Business Processes and Business Rules. However, each of them has its own weaknesses and therefore it is often desirable to build hybrid models composed of several knowledge representations. In this paper we describe an extension to Business Rules in order to facilitate creation of such heterogeneous systems. This is achieved by introducing semantic annotations to existing rule modeling languages. We also present how the additional semantic information is leveraged in the Prosecco project.