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Model-Driven Engineering (MDE) aims to raise the level of abstraction in software system specifications and increase automation in software development. Modelware technological spaces contain the languages and tools for MDE that software developers take into consideration to model systems and domains. Ontoware technological spaces contain ontology languages and technologies to design, query, and reason on knowledge. With the advent of the Semantic Web, ontologies are now being used within the field of software development, as well. In this thesis, bridging technologies are developed to combine two technological spaces in general. Transformation bridges translate models between spaces, mapping bridges relate different models between two spaces, and, integration bridges merge spaces to new all-embracing technological spaces. API bridges establish interoperability between the tools used in the space. In particular, this thesis focuses on the combination of modelware and ontoware technological spaces. Subsequent to a sound comparison of languages and tools in both spaces, the integration bridge is used to build a common technological space, which allows for the hybrid use of languages and the interoperable use of tools. The new space allows for language and domain engineering. Ontology-based software languages may be designed in the new space where syntax and formal semantics are defined with the support of ontology languages, and the correctness of language models is ensured by the use of ontology reasoning technologies. These languages represent a core means for exploiting expressive ontology reasoning in the software modeling domain, while remaining flexible enough to accommodate varying needs of software modelers. Application domains are conceptually described by languages that allow for defining domain instances and types within one domain model. Integrated ontology languages may provide formal semantics for domain-specific languages and ontology technologies allow for reasoning over types and instances in domain models. A scenario in which configurations for network device families are modeled illustrates the approaches discussed in this thesis. Furthermore, the implementation of all bridging technologies for the combination of technological spaces and all tools for ontology-based language engineering and use is illustrated.
This dissertation investigates the emergence of dialects in a model of a multi-agent simulation based on neural networks that is developed within this thesis. First the linguistic foundation of language is illustrated. Besides discussing some important definitions of language, this is achieved by giving a summary of the evolutionary steps in language evolution followed by an overview of the elements of human modern languages including the ways of language change. Subsequently some examples of socially learned animals" communicative behaviour and its formations of dialects are shown.
In the following the computational and mathematical basis are to be explained. Besides the expressions model and simulation, these comprehend the setup of multi-agent simulations and the functionality of artificial neural networks. Based on the abovementioned basics the model of this dissertation is derived and described in a detailed way. Results drawn out of several hundreds of simulation runs are explicated thereafter. Each destructive factor defined in the model is examined separately and its domain is divided into intervals with different effects on the outcome of the simulation.
Furthermore, existing interdependences between the single factors and the process of language merging after a prior dialect divide are shown. Results and outlook are followed by specification, draft, architecture, a detailed illustration of the implementation and a user guide of the tool named DiaLex. DiaLex is a java based tool providing users the opportunity to simulate and analyse the influence of different destructive factors on dialect formation within a commonly used language of one or multiple communities of agents.
Towards Improving the Understanding of Image Semantics by Gaze-based Tag-to-Region Assignments
(2011)
Eye-trackers have been used in the past to identify visual foci in images, find task-related image regions, or localize affective regions in images. However, they have not been used for identifying specific objects in images. In this paper, we investigate whether it is possible to assign image regions showing specific objects with tags describing these objects by analyzing the users' gaze paths. To this end, we have conducted an experiment with 20 subjects viewing 50 image-tag-pairs each. We have compared the tag-to-region assignments for nine existing and four new fixation measures. In addition, we have investigated the impact of extending region boundaries, weighting small image regions, and the number of subjects viewing the images. The paper shows that a tag-to-region assignment with an accuracy of 67% can be achieved by using gaze information. In addition, we show that multiple regions on the same image can be differentiated with an accuracy of 38%.
An der Universität Koblenz wurde mit dem RMTI (RIP with Metric based Topology Investigation) eine Erweiterung zu RIP entwickelt, die das Counting-to-Infinity Problem beheben soll. Eine lauffähige Implementierung des RMTI Algorithmus, auf Basis des RIP Daemons der Quagga Software Routing Suite, liegt vor. Openwrt ist ein, auf Linux basierendes, quelloffenes Betriebssystem für Router, wie z.B. den WRT54G der Firma Linksys. Die Möglichkeiten der Konfiguration der Router mit Openwrt gehen weit über die der original Firmware hinaus. So können die Router mit Software aus dem Linux-Bereich erweitert werden. Ziel dieser Studienarbeit ist die Installation des RMTI Daemons in Openwrt auf den Linksys WRT54G Routern der AG Rechnernetze. Anschließend sollen typische Netzwerksituationen aufgebaut und das Verhalten der Router untersucht werden.
Nagios unter VNUML
(2011)
This paper documents the development of an abstract physics layer (APL) for Simspark. After short introductions to physics engines and Simspark, reasons why an APL was developed are explained. The biggest part of this paper describes the new design and why certain design choices were made based on requirements that arose during developement. It concludes by explaining how the new design was eventually implemented and what future possibilities the new design holds.
Folksonomies are Web 2.0 platforms where users share resources with each other. Furthermore, they can assign keywords (called tags) to the resources for categorizing and organizing the resources. Numerous types of resources like websites (Delicious), images (Flickr), and videos (YouTube) are supported by different folksonomies. The folksonomies are easy to use and thus attract the attention of millions of users. Together with the ease they offer, there are also some problems. This thesis addresses different problems of folksonomies and proposes solutions for these problems. The first problem occurs when users search for relevant resources in folksonomies. Often, the users are not able to find all relevant resources because they don't know which tags are relevant. The second problem is assigning tags to resources. Although many folksonomies (like Delicious) recommend tags for the resources, other folksonomies (like Flickr) do not recommend any tags. Tag recommendation helps the users to easily tag their resources. The third problem is that tags and resources are lacking semantics. This leads for example to ambiguous tags. The tags are lacking semantics because they are freely chosen keywords. The automatic identification of the semantics of tags and resources helps in reducing problems that arise from this freedom of the users in choosing the tags. This thesis proposes methods which exploit semantics to address the problems of search, tag recommendation, and the identification of tag semantics. The semantics are discovered from a variety of sources. In this thesis, we exploit web search engines, online social communities and the co-occurrences of tags as sources of semantics. Using different sources for discovering semantics reduces the efforts to build systems which solve the problems mentioned earlier. This thesis evaluates the proposed methods on a large scale data set. The evaluation results suggest that it is possible to exploit the semantics for improving search, recommendation of tags, and automatic identification of the semantics of tags and resources.
The semantic web and model-driven engineering are changing the enterprise computing paradigm. By introducing technologies like ontologies, metadata and logic, the semantic web improves drastically how companies manage knowledge. In counterpart, model-driven engineering relies on the principle of using models to provide abstraction, enabling developers to concentrate on the system functionality rather than on technical platforms. The next enterprise computing era will rely on the synergy between both technologies. On the one side, ontology technologies organize system knowledge in conceptual domains according to its meaning. It addresses enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven engineering is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and semantics. In this scenario, the research question that arises is: What are the scientific and technical results around ontology technologies that can be used in model-driven engineering and vice versa? The objective is to analyze approaches available in the literature that involve both ontologies and model-driven engineering. Therefore, we conduct a literature review that resulted in a feature model for classifying state-of-the-art approaches. The results show that the usage of ontologies and model-driven engineering together have multiple purposes: validation, visual notation, expressiveness and interoperability. While approaches involving both paradigms exist, an integrated approach for UML class-based modeling and ontology modeling is lacking so far. Therefore, we investigate the techniques and languages for designing integrated models. The objective is to provide an approach to support the design of integrated solutions. Thus, we develop a conceptual framework involving the structure and the notations of a solution to represent and query software artifacts using a combination of ontologies and class-based modeling. As proof of concept, we have implemented our approach as a set of open source plug-ins -- the TwoUse Toolkit. The hypothesis is that a combination of both paradigms yields improvements in both fields, ontology engineering and model-driven engineering. For MDE, we investigate the impact of using features of the Web Ontology Language in software modeling. The results are patterns and guidelines for designing ontology-based information systems and for supporting software engineers in modeling software. The results include alternative ways of describing classes and objects and querying software models and metamodels. Applications show improvements on changeability and extensibility. In the ontology engineering domain, we investigate the application of techniques used in model-driven engineering to fill the abstraction gap between ontology specification languages and programming languages. The objective is to provide a model-driven platform for supporting activities in the ontology engineering life cycle. Therefore, we study the development of core ontologies in our department, namely the core ontology for multimedia (COMM) and the multimedia metadata ontology. The results are domain-specific languages that allow ontology engineers to abstract from implementation issues and concentrate on the ontology engineering task. It results in increasing productivity by filling the gap between domain models and source code.
Location Provider
(2011)
In dieser Arbeit wurde gemäß den in Kapitel 1.3 definierten Anforderungen ein System entwickelt, um mobile und in der Rechenleistung beschränkte Geräte wie Mobiltelefone und PDAs sowohl im Freien als auch in geschlossenen Räumen verorten zu können. Der eingeschränkten Leistungsfähigkeit der Geräte wird durch die Umsetzung einer Client-Server Lösung Rechnung getragen, bei der der Client als Sensorträger dient, der Daten aus seiner Umgebung registriert und über ein Kommunikationsnetz zur weiteren Berechnung an einen Server überträgt. Die Datenübertragung ist als Webservice realisiert, der auf offenen Standards wie XML und SOAP basiert und leicht um weitere Funktionen erweitert werden kann.
Improvements to the RMTI network routing daemon implementation and preparation of a public release
(2011)
Routing with Metric based Topology Investigation (RMTI) is an algorithm meant to extend distance-vector routing protocols. It is under research and development at the University of Koblenz-Landau since 1999 and currently implemented on top of the well-known Routing Information Protocol (RIP). Around midyear 2009, the latest implementation of RMTI included a lot of deprecated functionality. Because of this, the first goal of this thesis was the reduction of the codebase to a minimum. Beside a lot of reorganization and a general cleanup, this mainly involved the removal of some no longer needed modes as well as the separation of the formerly mandatory XTPeer test environment. During the second part, many test series were carried out in order to ensure the correctness of the latest RMTI implementation. A replacement for XTPeer was needed and several new ways of testing were explored. In conjunction with this thesis, the RMTI source code was finally released to the public under a free software license.