Andrea Kő

Process-Based Knowledge Extraction in a Public Authority: A Text Mining Approach

Processes in public administration are complex and changing fast, according to the changes in the regulatory environment. Public servants have to face with the challenge of getting a job role specific knowledge, which is embedded into the processes or available in other unstructured sources, like in public policies. Even though much of government regulations may now available in digital form, due to their complexity and diversity, identifying the ones relevant to a particular context is a non-trivial task. Our paper will discuss a text mining solution to extract, organize and preserve knowledge embedded in organizational processes to enrich the organizational knowledge base in a systematic and controlled way, support employees to easily acquire their job role specific knowledge. The solution has been tested for the case of an agricultural service at public authority. The context of the case is sampling in controlling food safety and quality.

Technology-Enabled Innovation for Democracy, Government and Governance

This paper analyses the legal basis and technical possibilities for citizen participation by electronic means on the European Union level; in particular, the various forms of dialogue introduced by Art 11 TEU as well as Art 20 TFEU are analysed. [1a, 1b]

Compliance Check in Semantic Business Process Management

With a steady increase of requirements against business processes, support of compliance checking is a field having increased attention in information systems research and practice. Compliance check is vital for organizations to identify gaps, inconsistency and incompleteness in processes and sometimes it is mandatory because of legal, audit requirements. The paper gives an overview about our research and development activities in the field of compliance checking with the help of semantic business process management (SBPM). We propose a compliance checking approach and solution, illustrated with a use case from higher education domain.

Advancing Democracy, Government and Governance

Knowledge Management in Government is high on the agenda and new developments give strong impulses. The contribution portrays chances and challenges in conjunction with these trends and discusses the following subjects: Knowledge Transfer, Best Practice Case Collections, Open Government Data, Social Media, Mobile Government, and Semantic Technologies.

Policy modeling in risk-driven environment

In this paper, the main challenges of applying ICT in policy modeling are described and a solution is proposed, which emphasizes policy impact exploration, monitoring and risk management. State of the art of policy modeling is given, with the summary of those features of our solution, which goes beyond the available approaches. The paper will be structured as follows: First, the challenges of the ICT utilization for policy modeling are detailed. Next theoretical background of policy modeling is discussed, followed by research overview. The proposed solution -- policy modeling cycle and the corresponding system is presented in the following section. Finally, conclusion and future work are shown.

Corporate Knowledge Discovery and Organizational Learning: The Role, Importance, and Application of Semantic Business Process Management—The ProKEX Case

One of the consequences of the changing regulatory social and economic environment is the growing demand to efficiently manage intellectual capital as corporate assets. Intellectual capital is closely coupled to knowledge that is embedded in business processes. The book provides an overview in a nutshell of ProKEX research. The goal of the ProKEX solution is to extract, organize, share and preserve knowledge embedded in organizational processes in order to (1) enrich organizational knowledge bases in a systematic and controlled way (2) support employees to be better able to acquire their job role specific knowledge, (3) and to help govern and plan human capital investment. The chapters provides deeper understanding the components, as semantic business process management, text mining, knowledge representation and transfer, adaptive testing, compliance checking.

ProMine: A Text Mining Solution for Concept Extraction and Filtering

Due to the on-going economic crisis, the management of organizational knowledge is becoming more and more important. This knowledge resides in organizational processes. The extraction of this hidden knowledge from the business processes and the usage of this knowledge for domain ontology development is a major challenge. This chapter presents ProMine, a text mining ontology extraction tool that extracts deep representations from the business processes. ProMine extracts new domain related concepts and proposes a new filtering mechanism based on a new hybrid similarity measure to filter most relevant concepts. The tool is evaluated through a case study of the insurance domain. The results showed that ProMine performance is good and it generates many new concepts against each business process.

Innovative eHealth Services – PISCES Solution

Healthcare sector, especially in Central and Eastern European countries has to face with several challenges, like “brain drain”, financing problems and fast aging population. There is a growing demand for more economic way for prevention and monitoring. At the same time Future Internet solutions offer personalized high-quality health services, this can be utilized to move far beyond traditional care. New, innovative solutions are provided, like remote health monitoring, which provide cost effective services in a relative low cost infrastructure. This paper presents PISCES, a responsive health monitoring mobile information system, which enables remote monitoring of the patients’ health-status and physical performances. The goal of the PISCES solution is not only to monitor the health status of the participants, but react in any case of deficiency, as well as giving the opportunity to increase the level of the physical activities. The paper discusses PISCES pilot, which run in Hungary in 2014, as well as social, economic, security, privacy and legal perspectives of mHealth solutions.

Open Data Research Challenges in the EU.

Although the concept of ‘open data’ has been around for some time, it has gained more attention in the public sphere over the last decade. This momentum has attracted the interest of ‘mainstream’ e-Government researchers as well, what is well indicated by the increased number of papers addressing the topic. Even though this interest seemed to be declining two-three years ago, the idea of reusing public sector data provided new ammunition to do research into this phenomenon. This paper relies on the latest literature and relevant studies to review the research area of open government data and to offer recommendations regarding potential research directions that could advance our understanding of the challenges facing the reuse of public sector information.

A nyílt kormányzati adatok kutatási kihívásai

Habar a nyilt adatok koncepcioja mar regota ismert, komolyabb praktikus erdeklődesről a kozszfera reszeről korulbelul egy evtizede lehet beszelni. Ez a momentum megmozgatta az e-kormanyzas ’fősodraba’ tartozo kutatok erdeklődeset is, mely meg is latszik a vonatkozo publikaciok megemelkedett szaman. Habar ket-harom eve visszaesni latszott a lendulet, az ujrahasznositas jelensege ujabb municiot szolgaltatott a kutatasoknak. Jelen tanulmany a legfrissebb irodalom es esettanulmanyok segitsegevel tekinti at a nyilt kormanyzati adatok kutatasanak jellemző teruleteit es javaslatokat fogalmaz meg olyan kutatasi kerdesekre, melyek nemcsak előrebb vihetik a nyilt kormanyzati adatok ujrahasznositasanak kerdeseit, de iranyt mutathatnak hazai kutatoknak is a sikeres nemzetkozi megjeleneshez.