Dörthe Arndt

• TU Dresden

Background In healthcare, an increasing collaboration can be noticed between different caregivers, especially considering the shift to homecare. To provide optimal patient care, efficient coordination of data and workflows between these different stakeholders is required. To achieve this, data should be exposed in a machine-interpretable, reusable...

We introduce the Riskman ontology & shapes for representing and analysing information about risk management for medical devices. Risk management is concerned with taking necessary precautions so a medical device does not cause harms for users or the environment. To date, risk management documentation is submitted to notified bodies (for certificati...

Notation3 Logic (\(\text {N}_3\)) is an extension of RDF which allows the user to write rules introducing new blank nodes to RDF graphs. Many applications (e.g., ontology mapping) rely on this feature as blank nodes – used directly or in auxiliary constructs – are omnipresent on the Web. However, the number of fast \(\text {N}_3\) reasoners fully s...

Notation3 Logic (\nthree) is an extension of RDF that allows the user to write rules introducing new blank nodes to RDF graphs. Many applications (e.g., ontology mapping) rely on this feature as blank nodes -- used directly or in auxiliary constructs -- are omnipresent on the Web. However, the number of fast \nthree reasoners covering this very imp...

Clinical decision support systems are assisting physicians in providing care to patients. However, in the context of clinical pathway management such systems are rather limited as they only take the current state of the patient into account and ignore the possible evolvement of that state in the future. In the past decade, the availability of big d...

The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the RDF graph and the application’s supported entailments of that graph. During validation, RDF graphs are assessed against sets of constraints, and found violations help refining the RDF graphs. However, existing v...

Clinical decision support systems are assisting physicians in providing care to patients. However, in the context of clinical pathway management such systems are rather limited as they only take the current state of the patient into account and ignore the possible evolvement of that state in the future. In the past decade, the availability of big d...

Since the invention of Notation3 Logic, several years have passed in which the theory has been refined and applied in different reasoning engines like Cwm, EYE, and FuXi. But despite these developments, a clear formal definition of Notation3's semantics is still missing. This does not only form an obstacle for the formal investigation of that logic...

The success of the Semantic Web highly depends on its ingredients. If we want to fully realize the vision of a machine-readable Web, it is crucial that Linked Data are actually useful for machines consuming them. On this background it is not surprising that (Linked) Data validation is an ongoing research topic in the community. However, most approa...

In the Internet of Things (IoT), data-producing entities sense their environment and transmit these observations to a data processing platform for further analysis. Applications can have a notion of context awareness by combining this sensed data, or by processing the combined data. The processes of combining data can consist both of merging the dy...

In modern factories different machines and devices offering their services such as producing parts or simply providing information become more and more important. The number and diversity of such devices is increasing and the task of combining available resources into workflows becomes a challenge which can hardly be handled by a human user. In thi...

In this paper, we investigate the Normalized Semantic Web Distance (NSWD), a semantics-aware distance measure between two concepts in a knowledge graph. Our measure advances the Normalized Web Distance, a recently established distance between two textual terms, to be more semantically aware. In addition to the theoretic fundamentals of the NSWD, we...

In this paper, we propose and investigate a novel distance-based approach for measuring the semantic dissimilarity between two concepts in a knowledge graph. The proposed Normalized Semantic Web Distance (NSWD) extends the idea of the Normalized Web Distance, which is utilized to determine the dissimilarity between two textural terms, and utilizes...

Machine clients are increasingly making use of the Web to perform tasks. While Web services traditionally mimic remote procedure calling interfaces, a new generation of so-called hypermedia APIs works through hyperlinks and forms, in a way similar to how people browse the Web. This means that existing composition techniques, which determine a proce...

Semantic Web reasoning can be a complex task: depending on the amount of data and the ontologies involved, traditional OWL DL reasoners can be too slow to face problems in real time. An alternative is to use a rule-based reasoner together with the OWL RL/RDF rules as stated in the specification of the OWL 2 language profiles. In most cases this app...

Ontologies and reasoning algorithms are considered a promising approach to create decision making applications. Rule-based reasoning systems have the advantage that rule sets can be managed and applied separately, which facilitates the custom configuration of those systems. However, current implementations of rule-based reasoning systems usually in...

Intelligent and automatic overlays for video streams know an increasing demand in broadcasting and conference systems. These overlays provide additional information regarding the broadcast or the conference to better engage the end users. In this paper, a platform is presented that employs Linked Data to intelligently determine the content of the o...

Since the development of Notation3 Logic, several years have passed in which the theory has been refined and used in practice by different reasoning engines such as cwm, FuXi or EYE. Nevertheless, a clear model-theoretic definition of its semantics is still missing. This leaves room for individual interpretations and renders it difficult to make cl...

Traditionally, nurse call systems in hospitals are rather simple: patients have a button next to their bed to call a nurse. Which specific nurse is called cannot be controlled, as there is no extra information available. This is different for solutions based on semantic knowledge: if the state of care givers (busy or free), their current position,...

Factories of the future will autonomously deal with the ever increasing amount of available data. Processes will be planned automatically. Computers will keep track of machine parameters, product quality and workforce activities. But, how powerful these systems might become, the resulting new "Smart Factories" will always rely on experienced human...

This paper evaluates the performance of the OWL 2 reason-ers Pellet and HermiT in an eHealth context where most of the ABox is considered static and discrete transient events describing the environ-ment are incrementally added and processed. The considered use case is the assignment of tasks and calls to nurses. To provide personalized and optimize...