Wernher Behrendt

Towards an ontology-based distributed architecture for paid content

Business models on the basis of digital content require sophisticated descriptions of that content, as well as service-oriented carrier architectures that allow to negotiate and enforce contract and license schemes in heterogeneous digital application environments. We describe Knowledge Content Objects (KCO), that provide expressive semantic descriptions of digital content, based on an ontology of Information Objects, built under the DOLCE, DnS and Plan Ontologies (DDPO). In particular, we discuss how this structure supports business requirements within the context of paid content. Interactions between agents are embedded into digital infrastructures that are implemented on an advanced knowledge content carrier architecture (KCCA) that communicates via a dedicated protocol (KCTP). We show how this architecture allows to integrate existing digital repositories so that the content can be made available to a semantically rich digital environment.

Developing Ontologies for Collaborative Engineering in Mechatronics

Creating a coherent set of ontologies to support a collaborative design process amongst different firms which develop mechatronic products is a challenge due to the semantic heterogeneity of the underlying domain models and the amount of domain knowledge that needs to be covered. We tackle the problem of semantic heterogeneity by employing the DOLCE foundational ontology and by aligning our models to it. We approach the problem of scale, i.e. the amount of knowledge modeled by keeping the models at a descriptive level which is still granular enough to connect them with domain and task specific engineering tools. In order to manage the complexity of the modeling task we separate the models into the foundational layer, the mechatronic layer consisting of three domain ontologies, one process model and one cross-domain model, and the collaborative application layer. For the development process, we employ a methodology for dynamic ontology creation, which moves from taxonomical structures to formal models.

Technologien und Trends für Wissensarbeit und Wissensmanagement

ZusammenfassungSowohl Menge als auch Vielfalt der täglich in Unternehmen zu bearbeitenden Inhalte sind ständig im Steigen begriffen. Zusätzlich flieβen über immer mehr Kanäle Informationen in unterschiedlichste Unternehmensprozesse ein und müssen möglichst automatisiert weiterverarbeitet werden und über verschiedene Kanäle auch wieder verteilt werden. Unterschiedlichste Technologien wie ERP-Systeme, Workflow-Systeme, CMS- und Web-Publishing-Systeme treten nun an, Wissensarbeiter in der Abwicklung betrieblicher Prozesse zu unterstützen. Enterprise Content Management (ECM) ist ein Sammelbegriff für diese Konvergenz der Ziele bei gleichzeitiger Heterogenität der Ausgangsbedingungen. ECM ist dabei nicht nur als technisches, sondern in hohem Maβe auch als konzeptionelles Phänomen der Inhalts- und Wissensverarbeitung zu verstehen. Zukünftig werden die daraus resultierenden Anforderungen ECM in Richtung »Cross Enterprise Content Management« bzw. »Open Enterprise Content Management« treiben.

Recommending Internet-Domains Using Trails and Neural Networks

This paper discusses the use of artificial neural networks, trained with patterns extracted from trail data, as recommender systems. Feed-forward Multilayer-Perceptrons trained with the Backpropagation Algorithm were used to assign a rating to pairs of domains, based on the number of people that had traversed between them. The artificial neural network constructed in this project was capable of learning the training set to a great extent, and showed good generalizational capacities.

A Management System for Distributed Knowledge and Content Objects

We present the results of a European research project which developed specifications for so-called knowledge content objects (KCO) and for an attendant infrastructure, the knowledge content carrier architecture (KCCA). The work addresses the problem that while there are many standards for content and for metadata, there is at present, no suitable framework that enables organizations to manage knowledge alongside content, in a coherent manner. Our approach postulates the KCO as a common structural entity which can be recognized and manipulated by a KCCA enabled system

UNDERSTANDER Business Intelligence Seeker — User agent

UNDERSTANDER is an exploratory R&D project investigating Business Intelligence (BI) as a knowledge-gathering tool for supporting innovation processes in specific industrial domains. We develop a knowledge-based model that is grounded on the following three concepts: (i) Business Intelligence Model (BIM) developed by a Canadian project for BI technologies, (ii) taxonomy of Competitive Intelligence (CI) developed by CI practitioners, and (iii) Conceptual Dependency (CD) theory dealing with verb-oriented organization of knowledge. We also investigate whether knowledge-based models can be made adequate for the problem of gathering BI from web resources. Such a knowledge model can be used to “prime” a software agent and the agent can then search autonomously for relevant information on the Web. To express the interaction between agents, we consider “mechanism design”, which is a framework for designing interaction between self-interested agents to achieve specific outcomes. A BI Seeker is a multi-agent application developed in WADE. (Workflows and Agents Development Environment). WADE is an extension of JADE, a popular Open Source framework that brings workflow mechanisms to agents. We present the design of the BI Seeker as an application in the field of Industrial Internet.

The Interactive Knowledge Stack (IKS): A Vision for the Future of CMS

We position IKS by looking at where Content Management Systems (CMSs) come from, historically and we discuss where they are at present in the light of large-scale social media applications.

Die Infoflut kanalisieren — Enterprise Content Management

ZusammenfassungMenge und Vielfalt der täglich in Unternehmen zu bearbeitenden Inhalte steigen ständig. Unterschiedlichste Technologien wie ERP-Systeme, Workflow-Systeme, CMS- und Web-Publishing-Systeme treten nun an, Wissensarbeiter in der Abwicklung betrieblicher Prozesse zu unterstützen. Enterprise Content Management (ECM) ist ein Sammelbegriff für diese Konvergenz der Ziele bei gleichzeitiger Heterogenität der Ausgangsbedingungen. Dabei ist ECM nicht nur ein technisches, sondern in hohem Maße auch ein konzeptionelles Phänomen der Inhalts- und Wissensverarbeitung.

Courteous Sensors - Rules and Methodology

We posit that sensors of the emerging Internet of Things (IoT) should behave courteously. This means that the sensor makes itself known to a subject, that it stops sensing upon request, that it respects the subject as originator of the data and that it negotiates further use of the subject’s data before activating such further use. We state and justify the four fundamental rules for sensor behaviour and outline a methodology for responsible design of sensor-based information systems.

ASOMNIA: A service-oriented middleware for ambient information access

With the growing pervasiveness of information systems we are increasingly confronted with integrating heterogeneous end-user devices into existing information infrastructures. However, most existing middleware platforms either focus on plug & work functionalities or on multimedia streaming capabilities. Asomnia is a service-oriented middleware that combines the needs of plug & work infrastructures with the necessities of delivering multimedia contents. We describe Asomnia’s service-oriented architecture and show how it can be applied in different scenarios.