Technologies for Business Information Systems The material collected in this book covers a broad range of applications of c- puter science methods and algorithms in business practice. It presents a research cutting edge in development, implementation, and improvement of computer s- tems. We publish this book with intention that it helps to establish strong foun- tions for further development of research in this area and support people involved in business computer applications, those implementing computer technology in industry. The computer science and information systems topics covered in the book include data warehouses, ERP, XML, ontologies, rule languages, Web s- vices. We divided the chapters into several areas of applications of the above. There are parts on modeling business processes, devoted to applications of formal methods and metrics that assist this crucial step for contemporary heavy-IT o- ented enterprises. This is accompanied by chapters on information systems c- sidered both from engineering and social perspectives. Particular topics on so- ware engineering have been placed in a separate book part. We addressed also advancements in information retrieval and formal representation of knowledge – ing ontologies and rule languages. These topics are worth of interest due to their reemergence in recent years, significant advances and broad range of potential as well as actual applications. Last but not least comes the other area of applying IT – e-government. Several authors elaborate on methods and experiences of IT adoption for administrative purposes.
表中的内容
Conceptual Modelling for Grid Computing: Applying Collaborative Reference Modelling.- Approaches for Business Process Model Complexity Metrics.- Characterization and Tool Supported Selection of Business Process Modeling Methodologies.- A Framework for Utilizing Preferred Work Practice for Business Process Evolution.- On the Suitability of the Pi-Calculus for Business Process Management.- Variability Modeling and Product Derivation in E-Business Process Families.- Investigation of Reporting Tools for Cadastre Information Systems.- Internet Supported Mass Enrollment to High Schools.- Dealing with Administrative Discretions in E-Government: The Citizen Consultation Model.- Examples of Situation Spaces in Context-aware Business Solutions.- ERP Implementation Effort Estimation Using Data Envelopment Analysis.- Contrasting Rankings from Social Choice Aggregation Methods for Business Information System Selection in Multiple Case Studies.- Managing Adaptive Information Projects in the Context of a Software Developer Organizational Structure.- Requirements for Establishing a Conceptual Knowledge Framework in Virtual Enterprises.- Two Methods for Schema Design for Intelligent XML Documents in Organizations.- IS Evolution Benefit Assessment – Challenges with Economic Investment Criteria.- Adaptive Human-to-Human Collaboration via Negotiations of Social Protocols.- Is E-learning More Suitable for Full-time or for Part-time Students?.- Automated Acquisition of Semantic Relations for Information Retrieval Systems.- Analysis of Query Logs of the Library Catalogues in the Internet Network.- Business Process Retrieval of Company Policies.- Utility of Web Content Blocks in Content Extraction.- A Comprehensive Assessment of Modern Information Retrieval Tools.- Polish Texts Analysis for Developing Semantic-Aware Information Systems.- Temporalizing Ontology.- Semantics-driven XML Data Exchange within Web-serviced Business Applications.- An Ontological Document Management System.- Cost Estimation for Ontology Development: Applying the ONTOCOM Model.- Perspectives of Belief Revision in Document-driven Evolution of Ontology.- Assuring Enterprise-Wide Information Quality Management Capability Maturity.- Involving Users to Improve the Level of Their Satisfaction from a Software Product Designed for Public Organization.- Wrapping Semistructured Data to an Object-Oriented Model for a Data Grid.- Script-based System for Monitoring Client-side Activity.- A Security Evaluation Model for Multi-Agent Distributed Systems.- Industrial Application and Evaluation of a Software Evolution Decision Model.
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