Professor Dr. Kai-Christian Bruhn, Professor am Fachbereich Technik an der Hochschule Mainz, wurde am 5. Dezember 2017 in der Akademie der Wissenschaftenâ€¦
Wie aus der Zeit gefallen ragt das Brandungskliff am Steigerberg aus einer stillgelegten Kiesgrube zwischen den Ortschaften Eckelsheim und Wendelsheim imâ€¦
It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.
The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards. While the process of transformation from a description logic to a fuzzy logic is a trivial inclusion, the other way of reducing information from fuzzy logic to description logic is a difficult task, that will be topic of future work.
Optical recording of material cultural heritage (CH) is a multidisciplinary activity where the understanding of cross-disciplinary semantics is vital for a successful completion. In many cases, a lack of understanding of transdisciplinary semantics slows this process down. The end users who are mostly humanities experts lack the technical knowledge of spatial and spectral recording and could therefore demand more than what is actually required or sufficient for the intended CH application. The negotiations between technical experts and the end users are a tedious process. We present a semantic-based decision support system, COSCHKR, that employs reasoning and recommends optimal recording technology(ies) according to the application requirements of the recorded and processed data. COSCHKR is an ontology-based knowledge model that implies the development of semantic technologies within the Semantic Web framework. It represents formalized knowledge of the disciplines involved in the process of optical recording of material CH. The paper describes the applicability of the model in spatial, spectral, and visualization applications and summarises current possibilities and challenges.
This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information impact on the disaster response in order to support the decisionmaking about what information shared or what quality of data used to improve the response efficiency. Our research approach propose to combine an information system able to integrate heterogeneous data and a simulation system to assess different strategies of information sharing, dissemination and use. A knowledge base is used as a bridge between information system and simulation system. This knowledge base allows for designing dynamically a simulation according to open data and for managing the own knowledge and information known by each agent.
This paper addresses the factors that conditioned the choices in lithic resource procurement for tool making at the Late Aurignacian site of Stratzing-Galgenberg (Austria), based on the lithic assemblage from the main area of the site. The raw materials used in the analysed assemblage are varied and partly relate to various local and non-local proveniences. The importance of non-local flint in the assemblage contradicts the distance decay model according to which the amount of a given raw material decreases with the increasing distance from its source. Drawing on the approach developed recently by Lucy Wilson, we examine the predictive ability of â€śsource attractivenessâ€ť with respect to terrain difficulty and energy expenditure to understand why some sources were used more than others, using a Geographic Information System (GIS). Our results indicate that terrain difficulty and mobility costs matter and have a better predictive ability than Euclidean distance alone to explain assemblage variability in the Aurignacian of the Middle Danube region.
Expertsâ€™ knowledge about optical technologies for spatial and spectral recording is logically structured and stored in an ontology-based knowledge representation with the aim to provide objective recommendations for recording strategies. Besides operational functionalities and technical parameters such as measurement principles, instruments, and setups further factors such as the targeted application, data, physical characteristics of the object, and external influences are considered creating a holistic view on spectral and spatial recording strategies. Through this approach impacting factors on the technologies and generated data are identified. Semantic technologies allow to flexibly store this knowledge in a hierarchical class structure with dependencies, interrelations and description logic statements. Through an inference system the knowledge can be retrieved adapted to individual needs.
Das Vorhaben hatte zum Ziel, ein wirtschaftliches Verfahren zur Erstellung von GebĂ¤udeplĂ¤nen zu untersuchen. So wurde durch die Gruppe eine 3D-Erfassung und Auswertung mittels handgefĂĽhrtem Low-Cost Scannersystem in Form der
Sensorleiste Kinect durchgefĂĽhrt. Die abgeleiteten PlĂ¤ne kĂ¶nnen neben der Indoor-Navigation u.a. auch zu Zwâ€¦
Michael MĂĽller (B. Sc.),
Fabian Schmenger (B. Sc.),
Daniel SchrĂ¶der (B. Sc.),
Kira Zschiesche (B. Eng.)
Im dritten Semester des Masterstudiengangs Geoinformatik und Vermessung ist von den Studierenden ein Projekt als Gruppenarbeit im Rahmen von ca. 540 Arbeitsstunden pro Studierendem durchzufĂĽhren. Es besteht die MĂ¶glichkeit fĂĽr die Studierenden wĂ¤hrend einer solchen Projektphase neuartige und alternative Auswerteverfahren fĂĽr bestehendeâ€¦
Studierende des Masterstudiengangs Geoinformatik und Vermessung
Im Rahmen des Mastermoduls "InterdisziplinĂ¤re Anwendungen raumbezogener Informationstechnik" in den StudiengĂ¤ngen "Geoinformatik und Vermessung" (HS Mainz) und "ArchĂ¤ologie" (JGU Mainz) findet am 4. Dezember 2014 ein Workshop statt. Das mit dem "Open Humanities Award" der EU-Initiative DM2E (Digitised Manuscripts to Europeana) ausgezeiâ€¦