Wache, Holger

Lade...
Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Wache
Vorname
Holger
Name
Wache, Holger

Suchergebnisse

Gerade angezeigt 1 - 5 von 5
Vorschaubild nicht verfügbar
Publikation

Relaxing RDF Queries based on User and Domain Preferences

2009-12-01T00:00:00Z, Dolog, Peter, Stuckenschmidt, Heiner, Wache, Holger, Diederich, Jörg

Vorschaubild nicht verfügbar
Publikation

Knowledge Engineering Rediscovered: Towards reasoning Patterns for the Semantic Web

2009, Van Harmelen, Frank, Wache, Holger, Ten Teije, Annette, Noy, Natasha

The 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.

Vorschaubild nicht verfügbar
Publikation

WM2009: 5th Conference on Professional Knowledge Management

2009-04-02T00:00:00Z, Hinkelmann, Knut, Wache, Holger

The 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.

Vorschaubild nicht verfügbar
Publikation

AI meets Business Rules and Business Process Management

2008, Hinkelmann, Knut, Wache, Holger

Business 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.

Vorschaubild nicht verfügbar
Publikation

Towards an Integrated Approach to Assess the Potential of an Enterprise to Mature Knowledge, 5th Conference Professional Knowledge Management - Experiences and Visions

2009-03-25T00:00:00Z, Brun, Roman, Hinkelmann, Knut, Telesko, Rainer, Thönssen, Barbara, Bludau, Hans-Bernd, Koop, Andreas, Hinkelmann, Knut, Wache, Holger

In 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.