Agata Filipowska

Organisational Ontology Framework for Semantic Business Process Management

The field of Semantic Business Process Management (SBPM) has refuelled interest in using ontologies for the representation of the static and dynamic aspects of an enterprise and value chains. Putting the SBPM vision into practice, however, requires a consistent and operational network of ontologies reflecting the various spheres of enterprise structures and operations. Consistent means that the ontologies are based on compatible paradigms, have a compatible degree of detail, and include at least partial sets of alignment relations which allow data interoperability. Operational means that the ontology specifications are available in a single, current ontology formalism for which scalable repositories, reasoning support, APIs, and tools are available. In this paper, we describe a set of ontologies for SBPM that follows the mentioned requirements, and compare our work with the related efforts.

Semantically Annotated EPC within Semantic Business Process Management

Semantic Business Process Management (SBPM) promises bridging the gap between business and IT using machine processable enterprise models. Therefore, SBPM requires semantically annotated enterprise models in general and semantic business process models in particular. There are several well established business process modelling notations like BPMN and EPC. For SBPM to get adopted by practitioners, it must not introduce new modelling notations but instead reuse existing formalisms. Therefore, within this article we present an ontology for EPC models that may be used as their serialisation. The sEPC ontology was evaluated using competency questions and annotating a real-world business process.

Organizational ontologies to support semantic business process management

The Semantic Business Process Management (SBPM) aims at automation of the Business Process Management life cycle with use of semantics and Semantic Web services technology. The key issue to fulfil this aim is to provide an adequate machine-processable representation of processes. In this article we present one of the most important elements of process description, namely organizational ontologies. Moreover, we discuss their role in the early phases of SBPM and illustrate it with a set of application scenarios.

Procedure and guidelines for evaluation of BPM methodologies

Purpose – The purpose of this paper is to present a methodology that may be used to perform evaluation of business process management (BPM) methodologies. As this area lacks proper formalized approaches, the aim of the publication is to promote the new approach, proposed by the authors.Design/methodology/approach – The authors analyse related methodologies and theoretical background. Based on that, they suggest an evaluation approach, which is used to verify correctness of a semantic BPM (SBPM) methodology.Findings – The proposed evaluation methodology has been practically tested. Additional interviews have been conducted and interviewees stress high value of the approach. The presented evaluation methodology was validated on the example of the SBPM methodology used in a European integrated project.Research limitations/implications – The results of this paper can be used to guide development and verify correctness of new BPM methodologies.Practical implications – The paper demonstrates how validation of B...

MOBILITY IMPLICATIONS FOR m-GOVERNMENT PLATFORM DESIGN

ABSTRACT This article discusses the implications, as the formal means to close the gap between rhetoric and reality, for m-gov services introduction. It presents the differences between the traditional (e-governmental) and proposed one in order to show not only the advantages but also specific requirements for mobile services provisioning. Its part is devoted to the issues of user interface design which is followed by the study of mobile user needs representation and service description challenges. This article concludes with the presentation of requirements for the platform that would support m-gov services provisioning, as well as the recommendations.

Autocompletion for Business Process Modelling

This paper presents an idea and prototype of the semantic-based autocompletion mechanism supporting development of business process models. Currently available process modelling tools support business analysts by suggesting elements that may be incorporated in the process, validating modelled processes, providing additional descriptions easing automation, etc. However, these solutions based mainly on syntactic data, disregard proper identification and usage of previously modelled process fragments. The mechanism described in this paper analyses context and annotations of process tasks (also on the semantic level) in order to deliver a list of suggestions for possible successor tasks: process fragments that may complete the model being developed.

Semantic Enterprise Description for the Needs of Business Process Automation

Enterprises today face an increasing need to easily access and process knowledge they produce as well as automate their business processes. This need may be fulfilled by taking advantage of the Semantic Web and Semantic Web services technologies and implementing the concept of Semantic Business Process Management. In order to fulfil this vision, an enterprise and the specified part of the knowledge from the enterprisepsilas environment needs to be properly described. The main goal of this paper is to present Business Roles Ontology (BRO) and Business Functions Ontology (BFO) which are to provide description of business functions and corresponding business roles. Both ontologies may be used within automated business process management lifecycle and are the result of our research work.

The comparison of medium-term energy demand forecasting methods for the need of microgrid management

Trends on the European energy markets show that renewable energy sources take an increasingly important position in the power supply. Recent developments concern inter alia formation of microgrids, where local energy sources meet the local energy consumption demand. Consequently, it is necessary to propose effective methods for predicting demand of small groups of prosumers. Accurate forecasts of a network load enable balancing the energy supply and demand in microgrids. This article aims at presenting the research results on comparison of different methods for energy demand forecasting in the medium-term horizon. The study was based on real data concerning one years households energy consumption. The results of this research were implemented as a part of the forecasting module in the Future Energy Management System.

eVEREst—SUPPORTING ESTIMATION OF REAL ESTATE VALUE

Enhanced Value Estimation of Real Estates (eVEREst) is the project carried out at the Department of Management Information Systems at the Poznań University of Economics. The paper presents the idea and the architecture of a system that supports the real estate registry with additional information that enables more precise estimation of real estate value.

DBpedia in the Art Market

We investigate a new approach to the art market analysis. A vast amount of structured data about creators on DBpedia can be used for enriching artworks’ sales observations employed in hedonic regression. This approach can result in a new set of explanatory variables and thus yield more accurate art market indices and predictions.