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About this book

Futurists and scientists alike profess the coming of a new era in the history – the knowledge era. The notion of knowledge is as old as humans’ self-consciousness, but new challenges appear. The meaning of the word “knowledge” is changing from cognitive notion to a technical term denoting a structured economic resource to be actively managed.

This contributed volume is a result of vivid and extremely valuable discussions held at 3rd International Workshop on Advances in Business ICT (ABICT) in Wrocław, Poland, September 9-12, 2012. The workshop focused on Advances in Business ICT approached from a multidisciplinary perspective. It provided an international forum for scientists/experts from academia and industry to discuss and exchange current results, applications, new ideas of ongoing research and experience on all aspects of Business Intelligence. ABICT has also been an opportunity to demonstrate different ideas and tools for developing and supporting organizational creativity, as well as advances in decision support systems.

This book is of interest to researchers, widely understood business, public sector and IT professionals.

Table of Contents

Frontmatter

Simulation Driven Development of the German Toll System – Simulation Performance at the Kernel and Application Level

Abstract
Simulation driven development - the idea of using simulation models as executable system specification in any phase of the system development process [4] - depends on the performance of the simulation model and execution framework. We study the performance issues of an existing large-scale simulation model of the German toll system using a discrete-event simulation (DES) model. The article first introduces the German toll system and the simulation framework developed to analyze the systems’ behavior. To address the simulation performance the article describes a number of common performance limitations of several commercial and non-commercialDES simulation kernels. These performance limitations are addressed in kernel-level benchmarks. At the application-level a DES implementation of the German toll system is used to compare two commercial DES tools and several optimizations are introduced both on the simulation model and kernel level to achieve the necessary performance for a detailed and realistic simulation of a fleet of 750 000 trucks.
Tommy Baumann, Bernd Pfitzinger, Thomas Jestädt

Geoportal as Interface for Data Warehouse and Business Intelligence Information System

Abstract
There is increasing interest of organization for advanced presentation and data analysis for public users. This paper shows how to integrate data from enterprise data warehouse with spatial data warehouse, publish them together to online interactive map, and enable public users to perform analysis in simple web interface. As case study is used Business Intelligence System for Investors, where data comes from different sources, different levels, structured and unstructured. This approach has three phases: creating spatial data warehouse, implementing ETL (extract, transform and load) procedure for data from different sources (spatial and non-spatial) and, finally, designing interface for performing data analysis. The fact, that this is a public site, where users are not known in advanced and not trained, calls for importance of usability design and self-evident interface. Investors are not willing to invest any time in learning the basics of a system. Geographic information providers need geoportals to enable access to spatial data and services via the Internet; and it is a first step in creating Spatial Data Infrastructure (SDI).
Almir Karabegovic, Mirza Ponjavic

Prospects of Using Temporal Logics for Knowledge Management

Abstract
The paper concerns the possibility of using temporal logics for knowledge management. The idea of knowledge management is presented, along with the most typical computer solutions for this area. The temporal aspect of knowledge management is pointed out. Having in mind this temporal aspect, the paper presents possible advantages of extending knowledge representation for knowledge management with temporal formalisms.
Maria Mach-Król

On Problems of Automatic Legal Texts Processing and Information Acquiring from Normative Acts

Abstract
In the paper, problems of legal information digitalization are investigated. Conditions for extraction information from legal texts (i.a. normative acts) related to the common ones processing (non-legal terms, in English) are outlined. Problems of dimensionality reduction and application of similarity measures are discussed. Sample results of similarity analysis is presented. Further research aimed at semantic analysis of legal texts are outlined.
Tomasz Pełech-Pilichowski, Wojciech Cyrul, Piotr Potiopa

AI Approach to Formal Analysis of BPMN Models: Towards a Logical Model for BPMN Diagrams

Abstract
Modeling Business Processes has become a challenging issue of today’s Knowledge Management. As such it is a core activity of Knowledge Engineering. There are two principal approaches to modeling such processes, namely Business Process Modeling and Notation (BPMN) and Business Rules (BR). Both these approaches are to certain degree complementary, but BPMN seems to become a standard supported by OMG. In this paper we investigate how to build a logical model of BPMN using logic, logic programming and rules. The main focus in on logical reconstruction of BPMN semantics which is necessary to define some formal requirements on model correctness enabling formal verification of such models.
Antoni Ligęza, Tomasz Potempa

Square Complexity Metrics for Business Process Models

Abstract
Complexity metrics for Business Process (BP) are used for the better understanding, and controlling quality of the models, thus improving their quality. In the paper we give an overview of the existing metrics for describing various aspects of BP models. We argue, that the design process of BP models can be improved by the availability of metrics that are transparent and easy to be interpreted by the designers. Therefore, we propose simple yet practical square metrics for describing complexity of a BP model based on the Durfee and Perfect square concept. These metrics are easy to interpret and provide basic information about the structural complexity of themodel. The proposed metrics are to be used with models built with Business Process Model and Notation (BPMN), which is currently the most widespread language used for BP modeling. Moreover, we present a set of BPMN models analyzed with our metrics. Finally, we introduce a tool implementing the discussed metrics. We compare the results to other important metrics, emphasizing the qualities of our approach.
Krzysztof Kluza, Grzegorz J. Nalepa, Janusz Lisiecki

Spatial Component in Business Intelligence System for Advanced Threat and Risk Analysis

Abstract
This paper shows an innovative approach for implementation business intelligence systems in advanced threat and risk analysis using spatial component. It demonstrates how to improve intelligence of complete information system by involving spatial extension. Most of business data in data warehouses are often spatial per se, and without using this component, analysis missing very important dimension of the data nature. From other side, frequent problem in enterprise data warehouse is creating relations between tables which come from different sources and without any common attributes; that could be very easily solved by spatial relations. This paradigm of spatialization assumes changing overall system architecture, from data storage, via retrieving to its presentation mechanism. Particular benefit of this approach for threat and risk analysis is effective utilization of location data, advanced spatial analysis techniques and more variety in data visualization. Examples of organizations which need such system are intelligence agencies, emergence services or epidemiology centers.
Mirza Ponjavic, Almir Karabegovic

Model Driven Architecture and Classification of Business Rules Modelling Languages

Abstract
An organisation’s activity under dynamic changes of business processes requires continuous improvement of business practices. This implies the necessity of refining decision making processes. Business rules [6], [8] enable experts to transfer enterprise strategy onto the operational level using simple sentences which, in turn, can automate reactions to subsequent events both inside and outside an organisation. The main advantage of the business rules is their simplicity and flexibility so they can be easily utilised by different organisations for different purposes. In order to represent knowledge in a pseudo-natural language understandable to information systems (business rules engines), notation and description standards are required. This study presents an overview of the most popular business rules description languages and proposes criteria for their classification. Based on those criteria a comprehensive classification of business rules modelling languages are provided.
Bartłomiej Gaweł, Iwona Skalna

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