Clinical patient data, such as medical images and reports, establish the basis of the diagnostic process. In order to improve the access to heterogeneous and distributed clinical data sources recent work concentrates ...
详细信息
Clinical patient data, such as medical images and reports, establish the basis of the diagnostic process. In order to improve the access to heterogeneous and distributed clinical data sources recent work concentrates on extracting semantic annotations with links to concepts of medical ontologies, such as RadLex, FMA, SNOMED CT or others. However, these annotations are not always on the appropriate level of detail for clinical applications as they simply reflect the descriptive content of the respective patient data. For integrating the data into the clinical work-flow, an interpretation of annotations using medical background knowledge is needed. In this paper we present a use-case of such an interpretation: we have built an initial ontology containing lymphoma-related diseases and symptoms as well as their relations. The created ontology is used to infer likely diseases of patients based on annotations. In this way, annotations can be understood in the context of likely diseases and help the clinician to make a diagnosis. By means of a prototype implementation we evaluate our approach and identify further knowledge requirements for the model.
Self-healing is a key functionality of Self-Organizing Networks (SON). There have already been promising research results on Degradation Detection and Root Cause Diagnosis. However, the complex task of Recovery Select...
详细信息
Self-healing is a key functionality of Self-Organizing Networks (SON). There have already been promising research results on Degradation Detection and Root Cause Diagnosis. However, the complex task of Recovery Selection, i.e., the determination of the best recovery action for an uncertain diagnosis of a degradation considering the operational goals of the network operator, is rarely investigated so far. In this paper, a two-step rational Recovery Selection system and its integration into a self-healing process for mobile networks is presented. Thereby, Recovery Selection first exploits technical recovery knowledge expressed in rules to determine the set of possible recovery actions for a degradation situation. Second, it determines the degree of rationality of these actions based on the operational goals of the operator. Therefore, it draws on decision theory in order to handle the uncertainty in the problem situation and the possibly conflicting preferences of the operator. The presented system enables automatic rational Recovery Selection which provides a baseline for self-healing in mobile networks.
Semantic Business Process Management is an emerging research area to support enterprises achieving economic and strategic objectives and improving their daily business. However, the magnitude of changes which are requ...
详细信息
Requirements Engineering is one of the most important phases in any product development life cycle since it is the basis for the complete software or product design and realization. Therefore in a worst case scenario ...
详细信息
Requirements Engineering is one of the most important phases in any product development life cycle since it is the basis for the complete software or product design and realization. Therefore in a worst case scenario any error within a requirement can result in a project loss. Computer support for requirement engineers is still premature as most RE applications can not cope with more sophisticated techniques like semantics, natural language processing etc. In this paper we will present the ongoing research work in semantic requirement engineering which will try to close the gap between computer understandable semantics, namely ontologies, and the natural language input of a human.
Using modeling techniques, the structure of an application domain can be captured in an easy and highly expressive way. However, while the use of meta models for the definition of modeling languages is a common and we...
详细信息
Interdisciplinary product development is faced with the collaboration of diverse roles and a multitude of interrelated artifacts. Traditional and sequential process models cannot deal with the long-lasting and dynamic...
详细信息
ISBN:
(纸本)9789898425065
Interdisciplinary product development is faced with the collaboration of diverse roles and a multitude of interrelated artifacts. Traditional and sequential process models cannot deal with the long-lasting and dynamic behavior of the development processes of today. Moreover, development processes have to be tailored to the needs of the projects, which are usually distributed today. Thus, keeping these projects on track from a methodology point of view is difficult. In order to deal with these challenges, this paper will present a novel method engineering and enactment approach. It combines the ideas of workflow technologies and product line engineering for method engineering as well as agent technology for the development process enactment.
Modeling languages provide a powerful technique for describing domain-specific concepts and their relationships. Since the syntactical structure is determined by a meta-model, expressions can be defined on the meta la...
详细信息
ISBN:
(纸本)9789898111951
Modeling languages provide a powerful technique for describing domain-specific concepts and their relationships. Since the syntactical structure is determined by a meta-model, expressions can be defined on the meta layer and evaluated for arbitrary instances. Currently, meta-modeling standards lack an easy way for defining rules capable of dynamically examining the behavior of a model. In this paper we discuss a new approach that links meta-modeling with well-understood methods from the field of compiler construction in order to express semantic constraints and perform data-flow calculations on model instances. We show how our approach can be used to analyze and validate business processes and specify further use cases like e.g. the calculation of model metrics.
Models describing business processes in a company nowadays have the drawback that they are not machine-processable for two reasons: First the terminology is not formalized. Second the dynamic semantics of the process ...
详细信息
ISBN:
(纸本)9781577353577
Models describing business processes in a company nowadays have the drawback that they are not machine-processable for two reasons: First the terminology is not formalized. Second the dynamic semantics of the process model is not formally defined. Thus, many discussions and human work is necessary in order to create and maintain process models. However, with a semantic annotation of process models and the usage of ontologies, tasks can be automized and the workload of the user can be reduced to a minimum. In this paper we discuss different possibilities and the added value of annotating a business process model with semantic information.
Model-driven software development facilitates faster and more flexible integration of information and communication systems. It divides system descriptions into models of different view points and abstraction levels. ...
详细信息
Proximity is a key to scalable and meaningful interactions in distributedsystems, both natural and artificial, and in particular in pervasive computing environments. However, proximity as such is a vague notion that ...
详细信息
暂无评论