Unpacking the semantics of source and usage to perform semantic reconciliation in large-scale information systems

1999 ◽  
Vol 28 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Ken Smith ◽  
Leo Obrst
Keyword(s):  
Information Systems ◽  
Large Scale

A Bridge Too Far?

2018 ◽  
Author(s):  
Charlotte P. Lee ◽  
Kjeld Schmidt
Keyword(s):  
Information Systems ◽  
Science And Technology Studies ◽  
Large Scale ◽  
Cooperative Work ◽  
Computer Supported Cooperative Work ◽  
Practical Action ◽  
Systems Research ◽  
Information Infrastructures ◽  
Information Systems Research ◽  
Critical Investigation

The study of computing infrastructures has grown significantly due to the rapid proliferation and ubiquity of large-scale IT-based installations. At the same time, recognition has also grown of the usefulness of such studies as a means for understanding computing infrastructures as material complements of practical action. Subsequently the concept of “infrastructure” (or “information infrastructures,” “cyberinfrastructures,” and “infrastructuring”) has gained increasing importance in the area of Computer-Supported Cooperative Work (CSCW) as well as in neighboring areas such as Information Systems research (IS) and Science and Technology Studies (STS). However, as such studies have unfolded, the very concept of “infrastructure” is being applied in different discourses, for different purposes, in myriad different senses. Consequently, the concept of “infrastructure” has become increasingly muddled and needs clarification. The chapter presents a critical investigation of the vicissitudes of the concept of “infrastructure” over the last 35 years.

From Divergence to Convergence in Hungarian Librarianship: Towards a Common Digital Platform

Libri ◽  
2018 ◽  
Vol 68 (4) ◽  
pp. 315-329
Author(s):  
Péter Kiszl ◽  
Rita Radó ◽  
Miklós Péter Hubay
Keyword(s):  
Information Systems ◽  
Large Scale ◽  
Information Science ◽  
Public Libraries ◽  
Public Library ◽  
Professional Activities ◽  
Community Organisation ◽  
Digital Development ◽  
Library Network ◽  
Development Plans

Abstract Hungarian librarianship and related research are sadly underrepresented in international literature. With this article we intend to fill this gap and inform the experts of library and information science of some of the most recent Hungarian innovations. After showcasing the international professional connections of Hungarian librarianship, we present the structure of the Hungarian public library network and its mode of operation. We also analyse current and future main digital development plans, projects and the most important related professional activities of Hungarian libraries. Emphasis is placed on information systems promoting cooperation between libraries and the issues of the National Library System Project, which is a large-scale modernisation programme carried out between 2016 and 2018, designed to develop the IT system of the National Széchényi Library. After introducing the information systems of academic and specialised libraries and the access models of scientific databases provided by multinational and Hungarian content services, we also discuss the endeavours of public libraries aiming for multifunctionality and community organisation. The paper ends by providing insights into how the outcomes of the recent initiatives have been fed back into Hungarian LIS training courses offered in higher education.

scholarly journals ANALYSIS OF THE METHODS FOR REGISTRATION OF IMAGES RECEIVED FROM THE INFORMATION SYSTEMS OF NON-MOTORIZED AIRCRAFTS

2019 ◽  
Vol 5 (15) ◽  
pp. 1448-1455
Author(s):  
Venelin Terziev ◽  
Teodora Petrova
Keyword(s):  
Information Systems ◽  
Large Scale ◽  
Air Monitoring ◽  
Monitoring Systems ◽  
Earth Surface ◽  
Military Operations ◽  
Monitoring And Control ◽  
The Earth ◽  
The World ◽  
And Control

The non-motorized air systems for intelligence, monitoring and control of the earth surface have gained currency and are used for various tactic flight’s tasks and missions. The non-motorized aircrafts (NMA) and the air-monitoring systems that include board and land part are key elements of these systems. The world experience in using NMA for these uses shows that they are most suitable where the exploitation conditions are very extreme and there is an unacceptable risk for operations of piloted aviation. Such are intelligence and observation of strictly guarded sites, zones, where military operations are conducted as well as regions with large scale fires and floods. The use of people in these conditions is connected with actual threat for their lives and practically, NMA as a tool for collecting and processing of information is irreplaceable. Keywords: registration of images, methods, information systems, non-motorized aircrafts.

scholarly journals Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

2021 ◽  
Vol 10 (11) ◽  
pp. 748
Author(s):  
Ferdinand Maiwald ◽  
Christoph Lehmann ◽  
Taras Lazariv
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Image Retrieval ◽  
Pose Estimation ◽  
Large Scale ◽  
Feature Matching ◽  
Geographic Information ◽  
Content Based Image Retrieval ◽  
Matching Methods ◽  
Historical Images

The idea of virtual time machines in digital environments like hand-held virtual reality or four-dimensional (4D) geographic information systems requires an accurate positioning and orientation of urban historical images. The browsing of large repositories to retrieve historical images and their subsequent precise pose estimation is still a manual and time-consuming process in the field of Cultural Heritage. This contribution presents an end-to-end pipeline from finding relevant images with utilization of content-based image retrieval to photogrammetric pose estimation of large historical terrestrial image datasets. Image retrieval as well as pose estimation are challenging tasks and are subjects of current research. Thereby, research has a strong focus on contemporary images but the methods are not considered for a use on historical image material. The first part of the pipeline comprises the precise selection of many relevant historical images based on a few example images (so called query images) by using content-based image retrieval. Therefore, two different retrieval approaches based on convolutional neural networks (CNN) are tested, evaluated, and compared with conventional metadata search in repositories. Results show that image retrieval approaches outperform the metadata search and are a valuable strategy for finding images of interest. The second part of the pipeline uses techniques of photogrammetry to derive the camera position and orientation of the historical images identified by the image retrieval. Multiple feature matching methods are used on four different datasets, the scene is reconstructed in the Structure-from-Motion software COLMAP, and all experiments are evaluated on a newly generated historical benchmark dataset. A large number of oriented images, as well as low error measures for most of the datasets, show that the workflow can be successfully applied. Finally, the combination of a CNN-based image retrieval and the feature matching methods SuperGlue and DISK show very promising results to realize a fully automated workflow. Such an automated workflow of selection and pose estimation of historical terrestrial images enables the creation of large-scale 4D models.

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