Institut für Wirtschaftsinformatik
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/66
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Ergebnisse nach Hochschule und Institut
Publikation AI meets Business Rules and Business Process Management(2008) Hinkelmann, Knut; Wache, HolgerBusiness rules and business process management are growing research and application areas for semantic technologies. While both areas make use of model driven knowledge representations?often in conjunction with application-oriented modeling tools?the potential of knowledge representations with precise semantics has only recently been recognized.Generally, the areas of ?business rules,? ?semantic technologies,? and ?business process management? are addressed by different communities at present. Standards are promoted by different organizations like W3C, OMG, and WfMC. Current research and practice, however, begins to identify and explore the benefits for combining methodologies from these different areas.Business rules, for example, strive to meet the increasing requirements of transparency and compliance, making sure that all stakeholders comply with all rules and regulations at any place and any time. Defining a commonly agreed vocabulary is a prerequisite for rule definitions.04B - Beitrag KonferenzschriftPublikation Cloud Broker: Bringing Intelligence into the Cloud - An Event-Based Approach(05.07.2010) Tripathi, Uttam Kumar; Wache, Holger06 - PräsentationPublikation Towards an Integrated Approach to Assess the Potential of an Enterprise to Mature Knowledge, 5th Conference Professional Knowledge Management - Experiences and Visions(Gesellschaft für Informatik, 25.03.2009) Brun, Roman; Hinkelmann, Knut; Telesko, Rainer; Thönssen, Barbara; Bludau, Hans-Bernd; Koop, Andreas; Hinkelmann, Knut; Wache, HolgerIn this paper we describe a multi-dimensional framework for knowledge maturing and learning. The framework consists of seven dimensions and supports the assessment of the knowledge management as-is-state in a company as well as the selection of appropriate approaches and methods for a further improvement. The paper also discusses the relationship to comparable approaches (e.g. intellectual capital statements) and ends with open issues for a proper implementation of the maturity framework.04B - Beitrag KonferenzschriftPublikation Relaxing RDF Queries based on User and Domain Preferences(Springer, 01.12.2009) Dolog, Peter; Stuckenschmidt, Heiner; Wache, Holger; Diederich, Jörg01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Enterprise Architecture Frameworks for Enabling Cloud Computing(26.08.2010) Tripathi, Uttam Kumar; Wache, Holger; Ebneter, Daniel; Stella Gatziu GrivasCloud computing has emerged as a strong factor driving companies to remarkable business success. Far from just being an IT level support solution cloud computing is triggering changes in their core business models by making them more efficient and cost-effective. This has generated an interest for a lot of companies to try and adopt cloud computing for their existing and new business process. In this research we present an approach which a company can use to analyze if its operations can be positively impacted by moving to the cloud. Further we describe our approach using which the company can make that transition to the cloud.04B - Beitrag KonferenzschriftPublikation WM2009: 5th Conference on Professional Knowledge Management(Gesellschaft für Informatik, 02.04.2009) Hinkelmann, Knut; Wache, HolgerThe Conference on Professional Knowledge Management provides a broad integrative overview of organizational, cultural, social and technical aspects on Knowledge Management. Focus of the conference is bringing together different research disciplines and sharing experiences gained in the different areas where knowledge management is being applied.02 - MonographiePublikation Knowledge Engineering Rediscovered: Towards reasoning Patterns for the Semantic Web(2009) Van Harmelen, Frank; Wache, Holger; Ten Teije, Annette; Noy, NatashaThe extensive work on Knowledge Engineering in the 1990s has resulted in a systematic analysis of task-types, and the corresponding problem solving methods that can be deployed for different types of tasks. That analysis was the basis for a sound and widely accepted methodology for building knowledge-based systems, and has made it is possible to build libraries of reusable models, methods and code. In this paper, we make a first attempt at a similar analysis for Semantic Web applications. We will show that it is possible to identify a relatively small number of task-types, and that, somewhat surprisingly, a large set of Semantic Web applications can be described in this typology. Secondly, we show that it is possible to decompose these task-types into a small number of primitive (atomic) inference steps. We give semi-formal definitions for both the task-types and the primitive inference steps that we identify. We substantiate our claim that our task-types are sufficient to cover the vast majority of Semantic Web applications by showing that all entries of the Semantic Web Challenges of the last 3 years can be classified in these task-types.04B - Beitrag KonferenzschriftPublikation Intelligent Dynamic Load Management Based on Solar Panel Monitoring(04.04.2014) Wilke, Gwendolin; Schaaf, Marc; Wache, Holger; Gatziu Grivas, Stella; Ryter, Remo; Mikkola, Topi; Bun, Eric04B - Beitrag Konferenzschrift