Würzburg, Germany
Würzburg, Germany

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PubMed | denkbares GmbH, University of Würzburg and The Federal Environment Agency Umweltbundesamt
Type: | Journal: Journal of cheminformatics | Year: 2016

To protect the health of human and environment, the European Union implemented the REACH regulation for chemical substances. REACH is an acronym for Registration, Evaluation, Authorization, and Restriction of Chemicals. Under REACH, the authorities have the task of assessing chemical substances, especially those that might pose a risk to human health or environment. The work under REACH is scientifically, technically and procedurally a complex and knowledge-intensive task that is jointly performed by the European Chemicals Agency and member state authorities in Europe. The assessment of substances under REACH conducted in the German Environment Agency is supported by the knowledge-based system KnowSEC, which is used for the screening, documentation, and decision support when working on chemical substances. The software KnowSEC integrates advanced semantic technologies and strong problem solving methods. It allows for the collaborative work on substances in the context of the European REACH regulation. We discuss the applied methods and process models and we report on experiences with the implementation and use of the system.


Baumeister J.,University of Würzburg | Striffler A.,Denkbares GmbH | Brandt M.,Federal Environment Agency Umweltbundesamt | Neumann M.,Federal Environment Agency Umweltbundesamt
Journal of Cheminformatics | Year: 2016

To protect the health of human and environment, the European Union implemented the REACH regulation for chemical substances. REACH is an acronym for Registration, Evaluation, Authorization, and Restriction of Chemicals. Under REACH, the authorities have the task of assessing chemical substances, especially those that might pose a risk to human health or environment. The work under REACH is scientifically, technically and procedurally a complex and knowledge-intensive task that is jointly performed by the European Chemicals Agency and member state authorities in Europe. The assessment of substances under REACH conducted in the German Environment Agency is supported by the knowledge-based system KnowSEC, which is used for the screening, documentation, and decision support when working on chemical substances. The software KnowSEC integrates advanced semantic technologies and strong problem solving methods. It allows for the collaborative work on substances in the context of the European REACH regulation. We discuss the applied methods and process models and we report on experiences with the implementation and use of the system. © 2016 Baumeister et al.


Baumeister J.,Denkbares GmbH | Baumeister J.,University of Würzburg | Striffler A.,Denkbares GmbH | Brandt M.,Federal Environment Agency Umweltbundesamt | Neumann M.,Federal Environment Agency Umweltbundesamt
CEUR Workshop Proceedings | Year: 2013

With the success of knowledge-based approaches in decision support systems new requirements arise in practice. That way, users demand not only for the collaborative development of such systems, but also for the collaborative and episodic use in decision processes. Moreover, in complex decision domains multiple knowledge representations are available that need to be jointly processed. In this paper we introduce a novel approach and a system implementation that aims to meet these requirements.


Baumeister J.,University of Würzburg | Baumeister J.,denkbares GmbH | Striffler A.,denkbares GmbH
Knowledge-Based Systems | Year: 2015

The paper describes a new approach of developing and maintaining state-of-the-art decision support systems. Such systems are able to capture the collaborative work on decision problems over time. Due to the complexity of large problem spaces a multi-modal knowledge representation is proposed. For the realization of a multi-modal knowledge base we integrate semantic technologies as a fundamental layer by combining the W3C ontologies PROV-O and SKOS. The approach is demonstrated by an implementation report of an industrially deployed decision support system. © 2015 Elsevier B.V.


Furth S.,Denkbares GmbH | Baumeister J.,Denkbares GmbH | Baumeister J.,University of Würzburg
CEUR Workshop Proceedings | Year: 2014

The regular improvement and adaptation of an ontology is a key factor for the success of an ontology-based system. In this paper, we report on an ongoing project that aims for a methodology and tool for ontology development in a self-improving manner. The approach makes heavy use of methods known in natural language processing and information extraction. Copyright © 2014 by the paper's authors.


Baumeister J.,Denkbares GmbH | Baumeister J.,University of Würzburg | Reutelshoefer J.,Denkbares GmbH
CEUR Workshop Proceedings | Year: 2014

Today, large knowledge bases are developed collaboratively and in an incremental manner. Often the engineering starts with the collection and organization of informal elements, that are subsequently refined into explicit knowledge. Due to the size of knowledge bases and the collaborative setting, the analysis of the current development progress becomes an important issue. The results of that analysis usually steer the further development direction and efforts. In this paper, we introduce a graph-based representation of general knowledge bases, containing formal and informal knowledge.We use this representation to define general and tailored connectivity measures for knowledge bases. We briefly report on the application of these measures in an industrial case study. Copyright © 2014 by the paper's authors.


Hatko R.,University of Würzburg | Baumeister J.,Denkbares GmbH | Belli V.,Denkbares GmbH | Puppe F.,University of Würzburg
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

In this paper, we introduce the formal representation language DiaFlux, that is simple and easy to use on the one hand. On the other hand it allows for the definition of Computer-Interpretable Guidelines (CIGs), that can solve valuable tasks being executed in the clinical context. Further, we describe a wiki-driven development process using the stepwise formalization and allowing for almost self-acquisition by the domain specialists. The applicability of the approach is demonstrated by a protocol for sepsis monitoring and treatment developed by a collaboration of clinicians. © 2012 Springer-Verlag.


Furth S.,Denkbares GmbH | Baumeister J.,Denkbares GmbH | Baumeister J.,University of Würzburg
CEUR Workshop Proceedings | Year: 2015

Technical documentation is a special purpose content describing machines and plants with high complexity. The documentation covers operation, maintenance and repair of the technical artifacts. The high complexity of the machines yields a voluminous documentation, where it increasingly becomes difficult to find the relevant information for a given problem. The paper discusses the use of semantic technologies to organize the documentation on a syntactic and semantic level. Also, a scheme for the assessment of the maturity of existing documentation is proposed, that simplifies the application of semantic technologies. Copyright © 2015 by the papers authors.


Furth S.,Denkbares GmbH | Baumeister J.,Denkbares GmbH | Baumeister J.,University of Würzburg
CEUR Workshop Proceedings | Year: 2014

KnowWE is a semantic wiki that provides the possibility to define and maintain ontologies and strong problem-solving knowledge. Recently, the ontology engineering capabilities of KnowWE were signifi- cantly extended. As with other ontology engineering tools, the support of ontology debugging during the development of ontologies is the deficient. We present an Ontology Debugger for KnowWE that is based on the delta debugging approach known from Software Engineering. KnowWE already provides possibilities to define test cases to be used with various knowledge representations. While reusing the existing testing capabilities we implemented a debugger that is able to identify failure-inducing statements between two revisions of an ontology.


Baumeister J.,Denkbares GmbH | Reutelshoefer J.,University of Würzburg
ACM International Conference Proceeding Series | Year: 2011

With the industrial success of knowledge-based systems new requirements with respect to Knowledge Engineering processes arise. Besides advanced knowledge acquisition tools, novel techniques for the quality assurance need to be established in order to maintain a safe development process. In Software Engineering, the application of continuous integration as a collection of practices has proved to be suitable for this task. In this paper, we transfer the general ideas of continuous integration from Software Engineering to Knowledge Engineering, and we demonstrate the implementation of a continuous integration tool into a state-of-the-art Knowledge Engineering workbench.

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