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Karlsruhe Institute of Technology, Germany

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3 Papers

Taming the Evolution of Big Data and its Technologies in BigGIS - A Conceptual Architectural Framework for Spatio-Temporal Analytics at Scale

Topics: Geospatial Architectures and Middleware; Big Data and GIS

Authors: Patrick Wiener ¹ , Viliam Simko ² and Jens Nimis ¹

Affiliations: ¹ Karlsruhe University of Applied Sciences, Germany , ² FZI Research Center for Information Technology, Germany

Digital Object Identifier: 10.5220/0006334200900101

Proceedings of GISTAM 2017, ISBN: 978-989-758-252-3

Quick Abstract

In the era of spatio-temporal big data, geographic information systems have to deal with a myriad of big data induced challenges such as scalability, flexibility or fault-tolerance. Furthermore, the rapid evolution of the underlying, occasionally competing big data ecosystems inevitably needs to be taken into account from the early system design phase. In order to generate valuable knowledge from spatio-temporal big data, a holistic approach manifested in an appropriate architectural design is necessary, which is a non-trivial task with regards to the tremendous design space. Therefore, we present the conceptual architectural framework of BigGIS, a predictive and prescriptive spatio-temporal analytics platform, that integrates big data analytics, semantic web technologies and visual analytics methodologies in our continuous refinement model.

Application-Mimes - An Approach for Quantitative Comparison of SQL - and NoSQL-databases

Topics: Simulation; Performance Evaluation and Benchmarking; Non-Relational Databases; Distributed Database Systems

Authors: Martin Kammerer and Jens Nimis

Affiliation: University of Applied Sciences Karlsruhe, Germany

Digital Object Identifier: 10.5220/0004896702560263

Proceedings of ICEIS 2014, ISBN: 978-989-758-027-7

Quick Abstract

Due to the rise of NoSQL systems over the last years, the world of commercially applicable database systems has become much larger and heterogeneous than it was ever before. But the opportunities that are associated with the upcoming systems have also introduced a new decision problem that occurs in the information system design process. Once, benchmarking has helped to identify the proper database product among the de facto standard SQL systems. Nowadays, functional and non-functional properties of database systems and their implication on application development are so divergent that not all systems that come into account for realisation of a specific application can be covered by the same benchmark. In this paper we present an approach for experimental comparative information system evaluation that allows for well-grounded selection among diverging database systems. It is based on the concept of so-called application-mimes, i.e. functionally restricted implementations that focus exclusively on the information systems’ interaction with data management and try to mimic the target systems behaviour in this respect as realistic as possible.

Related Ontology Subjects/Areas/Topics (13)

Agents	Distributed Database Systems	Non-Relational Databases
Artificial Intelligence	Enterprise Information Systems	Operational Research
Bioinformatics	Information Systems Analysis and Specification	Performance Evaluation and Benchmarking
Biomedical Engineering	Methodologies and Technologies	Simulation
Databases and Information Systems Integration

NAVIGATION ALONG DATABASE RELATIONSHIPS - An Adaptive Framework for Presenting Database Contents as Object Graphs

Topics: Searching and Browsing; Multimedia and User Interfaces; Usability and Ergonomics

Authors: Ahmet Atli ¹ , Katja Nau ¹ and Andreas Schmidt ²

Affiliations: ¹ Karlsruhe Institute of Technology, Germany , ² University of Applied Sciences Karlsruhe, Germany

Digital Object Identifier: 10.5220/0003402703720379

Proceedings of WEBIST 2011, ISBN: 978-989-8425-51-5

Quick Abstract

In this paper, we will present an approach to visualizing arbitrary relational database contents in the form of object graphs via the World Wide Web. The focus is on the relationships between the datasets rather than on the data itself. The tool allows definition of different node types representing the datasets and edges representing the foreign keys and relationship tables in the database schema. Each node type has a label, and optionally a short description and a user definable image associated with it. The information for these fields can be extracted 1 : 1 from the corresponding database tables or otherwise be aggregated from different tables. Along the edges, it is possible to navigate through the content of the database. At any time, exactly one node represents the center of the object graph. Starting from this graph, edges and other nodes down to a user-definable depth n are visualized. The depth n may vary along different node and edge types, so that it is possible to customize the representation of the object graph. The graphical representation of arbitrary database contents has been of great help to us. In addition to using it in the initial application area, we intend to use it in some other areas we had left unconsidered. From these, we can infer a number of suggestions as to how to improve our tool and make it more universal.

Related Ontology Subjects/Areas/Topics (5)