Feature Requirements of a Knowledge Management System

Introduction Knowledge management is a rapidly growing application field firmly anchored in to principal domains, the Human Resource Management domain and the IT domain. As usual in new and rapidly expanding technological areas a dispute arises pertaining to the functional scope and modelling paradigms of the Knowledge Management System architectures. We present our views pertaining to the KMS architecture stemming from the ICONS project research and development work. We present a framework for user requirements underlying the KMS reference architecture based on the most representative KM research strands. The reference architecture provided the baseline set of technological requirements for the ICONS project [ICONS D01]. 2 Knowledge Management: A Framework for User Requirements The knowledge management field has been growing dynamically fuelled by intensification of the global competition in all principal areas of the world economy. The state of the KM field at the turn of centur

Modelling Business Process Performance 1

Abstract: We present abusiness process performance evaluation approach based on a hierarchy of interacting analytical performance models from semanticoriented key performance indicator model through to the resource allocation optimisation model. Discussion of the human-centric process performance evaluation supported bythe state-of-the-art presentation provides the motivation for our research work. Presentation ofthe hierarchical performance modelling architecture isfollowed bythe detailed presentation ofthe component models representingrespectiveperformance evaluationperspectives

The INFOMIX system for advanced integration of incomplete and inconsistent data

[No abstract available

Data integration: a challenging ASP application

The paper presents INFOMIX a successful application of ASP technology to the domain of Data Integration. INFOMIX is a novel system which supports powerful information integration, utilizing the ASP system DLV. While INFOMIX is based on solid theoretical foundations, it is a user-friendly system, endowed with graphical user interfaces for the average database user and administrator, respectively. The main features of the INFOMIX system are: (i) a comprehensive information model, through which the knowledge about the integration domain can be declaratively specified, (ii) capability of dealing with data that may result incomplete and/or inconsistent with respect to global constraints, (iii) advanced information integration algorithms, which reduce (in a sound and complete way) query answering to cautious reasoning on disjunctive Datalog programs, (iv) sophisticated optimization techniques guaranteeing the effectiveness of query evaluation in INFOMIX, (v) a rich data acquisition and transformation framework for accessing heterogeneous data in many formats including relational, XML, and HTML data. © Springer-Verlag Berlin Heidelberg 2005

Data Integration: a Challenging ASP Application

The paper presents INFOMIX a successful application of ASP technology to the domain of Data Integration. INFOMIX is a novel system which supports powerful information integration, utilizing the ASP system DLV. While INFOMIX is based on solid theoretical foundations, it is a user-friendly system, endowed with graphical user interfaces for the average database user and administrator, respectively. The main features of the INFOMIX system are: (i) a comprehensive information model, through which the knowledge about the integration domain can be declaratively specified, (ii) capability of dealing with data that may result incomplete and/or inconsistent with respect to global constraints, (iii) advanced information integration algorithms, which reduce (in a sound and complete way) query answering to cautious reasoning on disjunctive Datalog programs, (iv) sophisticated optimization techniques guaranteeing the effectiveness of query evaluation in INFOMIX, (v) a rich data acquisition and transformation framework for accessing heterogeneous data in many formats including relational, XML, and HTML data. © Springer-Verlag Berlin Heidelberg 2005