scholarly journals Building schematic of Vienna in the late 1920s

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ulrich Kral ◽  
Ferdinand Reimer ◽  
Havvanur Tuz ◽  
Ingeborg Hengl
Keyword(s):  
Building Stock ◽  
Historic Building ◽  
The Public ◽  
The Road ◽  
Rich Information ◽  
Stock Model ◽  
Machine Readable ◽  
The City ◽  
Readable Format ◽  
Machine Readable Format

AbstractUrban archives provide rich information on historical data. To a large extent, these data are not available in machine-readable format and therefore not linkable with other datasets. The “Häuser-Kataster der Bundeshauptstadt Wien” is a building schematic for the city of Vienna for the end of the 1920s. While this schematic was used as a knowledge base for real estate and finance business about 100 years ago, it has been used in the 2000s to manually map the historic building periods by property. We use the analog version and produced a machine-readable version to assign the historic addresses, building periods and number of floors to a building stock model down the road. The dataset has been complemented with codes of cadastral communities from the late 2010s to enable geotagging of the historic building data. To avoid unnecessary duplication of efforts by others and to share the dataset with urban historians and the public, we provide the dataset under creative common license.

scholarly journals CFTR Lifecycle Map—A Systems Medicine Model of CFTR Maturation to Predict Possible Active Compound Combinations

2021 ◽  
Vol 22 (14) ◽  
pp. 7590
Author(s):  
Liza Vinhoven ◽  
Frauke Stanke ◽  
Sylvia Hafkemeyer ◽  
Manuel Manfred Nietert
Keyword(s):  
Large Scale ◽  
Synergistic Effects ◽  
Small Scale ◽  
Systems Medicine ◽  
Promising Candidate ◽  
Cftr Mutations ◽  
Machine Readable ◽  
High Throughput Screens ◽  
Readable Format ◽  
Machine Readable Format

Different causative therapeutics for CF patients have been developed. There are still no mutation-specific therapeutics for some patients, especially those with rare CFTR mutations. For this purpose, high-throughput screens have been performed which result in various candidate compounds, with mostly unclear modes of action. In order to elucidate the mechanism of action for promising candidate substances and to be able to predict possible synergistic effects of substance combinations, we used a systems biology approach to create a model of the CFTR maturation pathway in cells in a standardized, human- and machine-readable format. It is composed of a core map, manually curated from small-scale experiments in human cells, and a coarse map including interactors identified in large-scale efforts. The manually curated core map includes 170 different molecular entities and 156 reactions from 221 publications. The coarse map encompasses 1384 unique proteins from four publications. The overlap between the two data sources amounts to 46 proteins. The CFTR Lifecycle Map can be used to support the identification of potential targets inside the cell and elucidate the mode of action for candidate substances. It thereby provides a backbone to structure available data as well as a tool to develop hypotheses regarding novel therapeutics.

scholarly journals Traffic Density Classification Using Twitter Data and GPS Based On Android Application

2020 ◽  
Vol 14 (2) ◽  
pp. 113
Author(s):  
Mohammad Afrizal ◽  
Idham Ananta Timur
Keyword(s):  
Public Transportation ◽  
Traffic Density ◽  
The Public ◽  
The Road ◽  
Twitter Data ◽  
Average Accuracy ◽  
Android Applications ◽  
On The Road ◽  
The City ◽  
Special Region

Increasing the number of vehicles in Special Region of Yogyakarta caused by congestion occurred at various traffic points in Special Region of Yogyakarta. The solution to reducing congestion is by increasing the use of public transportation within the city, but it still not in demand by the public. Optimizing daily activities, community always tries to avoid the traffic density on the road to be bypassed.Some research on social media has been used to detect traffic density anomalies. However, the system still cannot provide traffic density information on roads that will be passed by the user because it is just a mapping. Based on this problem, this study aims to classify the traffic density on the road that will be passed by users in the Special Region of Yogyakarta into the category of high traffic and low traffic by utilizing Twitter and GPS data.The results show that Android Applications are able to classify traffic density on the road to be traversed using Geonames.org API. Using the naïve bayes classification algorithm, the system can classify traffic density on 14 streets with an average accuracy of 77.5%, 90% precision, 79.1% recall, and 82.8% f-score.

scholarly journals Linked Data and Metadata

2021 ◽  
pp. 79-90
Author(s):  
Christian Zinke-Wehlmann ◽  
Amit Kirschenbaum ◽  
Raul Palma ◽  
Soumya Brahma ◽  
Karel Charvát ◽  
...  
Keyword(s):  
Linked Data ◽  
Machine Readable ◽  
Readable Format ◽  
Machine Readable Format

AbstractData is the basis for creating information and knowledge. Having data in a structured and machine-readable format facilitates the processing and analysis of the data. Moreover, metadata—data about the data, can help discovering data based on features as, e.g., by whom they were created, when, or for which purpose. These associated features make the data more interpretable and assist in turning it into useful information. This chapter briefly introduces the concepts of metadata and Linked Data—highly structured and interlinked data, their standards and their usages, with some elaboration on the role of Linked Data in bioeconomy.

scholarly journals OSD2F: An Open-Source Data Donation Framework

2021 ◽  
Author(s):  
Theo Araujo ◽  
Jef Ausloos ◽  
Wouter van Atteveldt ◽  
Felicia Loecherbach ◽  
Judith Moeller ◽  
...  
Keyword(s):  
Current State ◽  
Open Source Data ◽  
Source Data ◽  
Data Ownership ◽  
Recent Developments ◽  
Development Goals ◽  
Commercial Organizations ◽  
Machine Readable ◽  
Readable Format ◽  
Machine Readable Format

The digital traces that people leave through their use of various online platforms provide tremendous opportunities for studying human behavior. However, the collection of these data is hampered by legal, ethical and technical challenges. We present a framework and tool for collecting these data through a data donation platform where consenting participants can securely submit their digital traces. This approach leverages recent developments in data rights that have given people more control over their own data, such as legislation that now mandates companies to make digital trace data available on request in a machine-readable format. By transparently requesting access to specific parts of this data for clearly communicated academic purposes, the data ownership and privacy of participants is respected and researchers are less dependent on commercial organizations that store this data in proprietary archives. In this paper we outline the general design principles, the current state of the tool, and future development goals.

Effective Fuzzy Ontology Based Distributed Document Using Non-Dominated Ranked Genetic Algorithm

2012 ◽  
pp. 243-264
Author(s):  
M. Thangamani ◽  
P. Thangaraj
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Genetic Algorithm ◽  
Document Clustering ◽  
Distributed Environment ◽  
Data Set ◽  
Clustering Technique ◽  
Machine Readable ◽  
Readable Format ◽  
Machine Readable Format

The increase in the number of documents has aggravated the difficulty of classifying those documents according to specific needs. Clustering analysis in a distributed environment is a thrust area in artificial intelligence and data mining. Its fundamental task is to utilize characters to compute the degree of related corresponding relationship between objects and to accomplish automatic classification without earlier knowledge. Document clustering utilizes clustering technique to gather the documents of high resemblance collectively by computing the documents resemblance. Recent studies have shown that ontologies are useful in improving the performance of document clustering. Ontology is concerned with the conceptualization of a domain into an individual identifiable format and machine-readable format containing entities, attributes, relationships, and axioms. By analyzing types of techniques for document clustering, a better clustering technique depending on Genetic Algorithm (GA) is determined. Non-Dominated Ranked Genetic Algorithm (NRGA) is used in this paper for clustering, which has the capability of providing a better classification result. The experiment is conducted in 20 newsgroups data set for evaluating the proposed technique. The result shows that the proposed approach is very effective in clustering the documents in the distributed environment.

scholarly journals Comparing Road User Charging Acceptability in the City of Tunis and Damascus

2019 ◽  
Vol 296 ◽  
pp. 02002
Author(s):  
Mohamad Shatanawi ◽  
Souhir Boudhrioua ◽  
Ferenc Mészáros
Keyword(s):  
Road Network ◽  
Road Pricing ◽  
Urban Traffic ◽  
Road User ◽  
The Political ◽  
The Public ◽  
The Road ◽  
Pricing Scheme ◽  
Two Cities ◽  
The City

Worldwide, multiple studies have been trying to reduce traffic issues without physically changing the road network, this is when the congestion fees strategy has been considered as a favorable solution for the urban traffic issues. A fundamental condition that needs to be checked before the implementation of the road-pricing scheme is the acceptability of both the political and the public parties. The acceptability is so variable and depends on many features and differs from one individual to another, thus, a survey with a set of variant questions might help to understand the expectations and the worries of the citizens and aim to improve them for better effectiveness of the road-pricing project. This report aims, through analyzing the responses of a distributed survey, to evaluate the acceptability of the citizens of Tunis, Tunisia and Damascus, Syria in order to draw a comparison between the two cities. Moreover, it assesses the degree of acceptability and the variable expectations of the implementation of the congestion fees of the two societies.

scholarly journals The Critical Evaluation of Stellar Data

1977 ◽  
Vol 35 ◽  
pp. 104-119
Author(s):  
Anne B. Underhill ◽  
Jaylee M. Mead
Keyword(s):  
Critical Evaluation ◽  
Classical Approach ◽  
Secondary Importance ◽  
Astronomical Data ◽  
Readable Form ◽  
Machine Readable ◽  
Machine Readable Form ◽  
Readable Format ◽  
Machine Readable Format ◽  
Types Of Error

AbstractMany catalogues of astronomical data appear in book form as well as in a machine-readable format. The latter form is popular because of the convenience of handling large bodies of data by machine and because it is an efficient way in which to transmit and make accessible data in books which are now out of print or very difficult to obtain. Some new catalogues are prepared entirely in a machine-readable form and the book form, if it exists at all, is of secondary importance for the preservation of the data.In this paper comments are given about the importance of prefaces for transmitting the results of a critical evaluation of a body of data and it is noted that it is essential that this type of documentation be transferred with any machine-readable catalogue. The types of error sometimes encountered in handling machine-readable catalogues are noted. The procedures followed in developing the Goddard Cross Index of eleven star catalogues are outlined as one example of how star catalogues can be compared using computers. The classical approach to evaluating data critically is reviewed and the types of question one should ask and answer for particular types of data are listed. Finally, a specific application of these precepts to the problem of line identifications is given.

scholarly journals Development of algorithm for risk assessment of the large ring road construction project around Kyiv

2021 ◽  
pp. 225-232
Author(s):  
Anna Kharchenko ◽  
◽  
Daria Kotyk ◽  
Keyword(s):  
Road Construction ◽  
Ring Road ◽  
The Public ◽  
Large Ring ◽  
The Road ◽  
Public Road ◽  
Harmful Emissions ◽  
International Transport ◽  
Pass Through ◽  
The City

One of the most important areas of development in Ukraine is the road sector. It belongs to the strategic sectors of the national economy, and the public road network is a significant component of Ukraine's infrastructure potential. The length and condition of road affects not only the safety and quality, mobility and employment, accessibility of educational and other services, but also causes changes in the temp and flow of capital in Ukraine, and is a necessary prerequisite for recovery competitiveness of the country's economy as a whole. Three international transport corridors pass through Ukraine, which are combined with four national transport corridors. They all pass through the Kyiv region. An urgent problem for Kyiv today is the construction of a Large Ring Road (hereinafter referred to as the "LRR") around Kyiv city, which should relieve the flow of transit transport through the capital of Ukraine, reduce harmful emissions from exhaust gases, and preserve the city roads from being destroyed by excessive vehicles, that are now creating a global city problem.

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