scholarly journals Color Mapping on Common Use-Cases in a Web Application

2015 ◽  
Vol 4 (2) ◽  
pp. 154-173
Author(s):  
Jiří Hradil ◽  
Vilém Sklenák
Keyword(s):  
Web Application ◽  
Use Cases ◽  
Color Mapping

scholarly journals Implementing a Web Application for W3C WebAuthn Protocol Testing

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 5
Author(s):  
Martiño Rivera Dourado ◽  
Marcos Gestal ◽  
José M. Vázquez-Naya
Keyword(s):  
Web Application ◽  
Ad Hoc ◽  
Use Cases ◽  
Physical Security ◽  
Protocol Testing ◽  
Extensive Information

During the last few years, the FIDO Alliance and the W3C have been working on a new standard called WebAuthn that aims to substitute the obsolete password as an authentication method by using physical security keys instead. Due to its recent design, the standard is still changing and so are the needs for protocol testing. This research has driven the development of a web application that supports the standard and gives extensive information to the user. This tool can be used by WebAuthn developers and researchers, helping them to debug concrete use cases with no need for an ad hoc implementation.

scholarly journals A SPATIO-TEMPORAL WEB APPLICATION FOR THE UNDERSTANDING OF THE FORMATION OF THE PARISIAN METROPOLIS

2020 ◽  
Vol VI-4/W1-2020 ◽  
pp. 45-52
Author(s):  
E. Blettery ◽  
P. Lecat ◽  
A. Devaux ◽  
V. Gouet-Brunet ◽  
F. Saly-Giocanti ◽  
...  
Keyword(s):  
Web Application ◽  
Statistical Data ◽  
Heterogeneous Data ◽  
Use Cases ◽  
Aerial Imagery ◽  
3D Environment ◽  
Paris Area ◽  
The Common ◽  
Spatio Temporal ◽  
The City

Abstract. This article presents a spatio-temporal web application dedicated to the co-exploitation of heterogeneous data spatialized in a common 3D environment, providing several paradigms for supporting their co-visualization and interactions within the 3D environment and across time. The relevance of this tool is demonstrated here with two use cases involving historians and sociologists with the common objective of better understanding the formation of the Parisian metropolis. The study focuses on the evolution of the city of Nanterre (Paris area), which underwent many changes in the 1950s, and in particular on shantytown areas. Through census as statistical data and aerial imagery as visual data, a group of historians and sociologists experimented the relevance of the joint exploitation of those heterogeneous data within the proposed spatio-temporal web application.

scholarly journals Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface (Preprint)

2020 ◽  
Author(s):  
Steven Cox ◽  
Stanley C Ahalt ◽  
James Balhoff ◽  
Chris Bizon ◽  
Karamarie Fecho ◽  
...  
Keyword(s):  
Web Application ◽  
Query Language ◽  
Environmental Data ◽  
Use Cases ◽  
Knowledge Graph ◽  
Translational Science ◽  
Knowledge Sources ◽  
Public Data ◽  
Knowledge Graphs ◽  
Upper Level

BACKGROUND Efforts are underway to semantically integrate large biomedical knowledge graphs using common upper-level ontologies to federate graph-oriented application programming interfaces (APIs) to the data. However, federation poses several challenges, including query routing to appropriate knowledge sources, generation and evaluation of answer subsets, semantic merger of those answer subsets, and visualization and exploration of results. OBJECTIVE We aimed to develop an interactive environment for query, visualization, and deep exploration of federated knowledge graphs. METHODS We developed a biomedical query language and web application interphase—termed as Translator Query Language (TranQL)—to query semantically federated knowledge graphs and explore query results. TranQL uses the Biolink data model as an upper-level biomedical ontology and an API standard that has been adopted by the Biomedical Data Translator Consortium to specify a protocol for expressing a query as a graph of Biolink data elements compiled from statements in the TranQL query language. Queries are mapped to federated knowledge sources, and answers are merged into a knowledge graph, with mappings between the knowledge graph and specific elements of the query. The TranQL interactive web application includes a user interface to support user exploration of the federated knowledge graph. RESULTS We developed 2 real-world use cases to validate TranQL and address biomedical questions of relevance to translational science. The use cases posed questions that traversed 2 federated Translator API endpoints: Integrated Clinical and Environmental Exposures Service (ICEES) and Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP). ICEES provides open access to observational clinical and environmental data, and ROBOKOP provides access to linked biomedical entities, such as “gene,” “chemical substance,” and “disease,” that are derived largely from curated public data sources. We successfully posed queries to TranQL that traversed these endpoints and retrieved answers that we visualized and evaluated. CONCLUSIONS TranQL can be used to ask questions of relevance to translational science, rapidly obtain answers that require assertions from a federation of knowledge sources, and provide valuable insights for translational research and clinical practice.

scholarly journals IMPROVING SPHERICAL PHOTOGRAMMETRY USING 360° OMNI-CAMERAS: USE CASES AND NEW APPLICATIONS

2018 ◽  
Vol XLII-2 ◽  
pp. 331-337 ◽  
Author(s):  
G. Fangi ◽  
R. Pierdicca ◽  
M. Sturari ◽  
E. S. Malinverni
Keyword(s):  
Web Application ◽  
Use Cases ◽  
Real Scene ◽  
Core Idea ◽  
New Applications ◽  
Image Collection ◽  
Architectural Detail ◽  
Santa Maria ◽  
Collection Phase ◽  
Research Domains

During the last few years, there has been a growing exploitation of consumer-grade cameras allowing one to capture 360&amp;deg; images. Each device has different features and the choice should be entrusted on the use and the expected final output. The interest on such technology within the research community is related to its use versatility, enabling the user to capture the world with an omnidirectional view with just one shot. The potential is huge and the literature presents many use cases in several research domains, spanning from retail to construction, from tourism to immersive virtual reality solutions. However, the domain that could the most benefit is Cultural Heritage (CH), since these sensors are particularly suitable for documenting a real scene with architectural detail. Following the previous researches conducted by Fangi, which introduced its own methodology called Spherical Photogrammetry (SP), the aim of this paper is to present some tests conducted with the omni-camera Panono 360&amp;deg; which reach a final resolution comparable with a traditional camera and to validate, after almost ten years from the first experiment, its reliability for architectural surveying purposes. Tests have been conducted choosing as study cases <i>Santa Maria della Piazza</i> and <i>San Francesco alle scale Churches</i> in Ancona, Italy, since they were previously surveyed and documented with SP methodology. In this way, it has been possible to validate the accuracy of the new survey, performed by means an omni-camera, compared with the previous one for both outdoor and indoor scenario. The core idea behind this work is to validate if this new sensor can replace the standard image collection phase, speeding up the process, assuring at the same time the final accuracy of the survey. The experiment conducted demonstrate that, w.r.t. the SP methodology developed so far, the main advantage in using 360&amp;deg;&amp;thinsp;omni-directional cameras lies on increasing the rapidity of acquisition and panorama creation phases. Moreover, in order to foresee the implications that a wide adoption of fast and agile tools of acquisition could bring within the CH domain, points cloud have been generated with the same panoramas and visualized in a WEB application, to allow a result dissemination between the users.

scholarly journals Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review

2021 ◽  
Vol 4 ◽  
Author(s):  
Thomas Bozada ◽  
James Borden ◽  
Jeffrey Workman ◽  
Mardo Del Cid ◽  
Jennifer Malinowski ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Application ◽  
Data Extraction ◽  
Machine Learning Algorithms ◽  
Use Cases ◽  
Data Curation ◽  
Evidence Based ◽  
Many Sources ◽  
The Impact ◽  
Evidence Based Decision Making

Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However, many sources of data remain siloed, unstructured, and/or unavailable for complementary and secondary research. Sysrev was developed to address these issues. First, Sysrev was built to aid in systematic evidence reviews (SER), where digital documents are evaluated according to a well defined process, and where Sysrev provides an easy to access, publicly available and free platform for collaborating in SER projects. Secondly, Sysrev addresses the issue of unstructured, siloed, and inaccessible data in the context of generalized data extraction, where human and machine learning algorithms are combined to extract insights and evidence for better decision making across disciplines. Sysrev uses FAIR - Findability, Accessibility, Interoperability, and Reuse of digital assets - as primary principles in design. Sysrev was developed primarily because of an observed need to reduce redundancy, reduce inefficient use of human time and increase the impact of evidence based decision making. This publication is an introduction to Sysrev as a novel technology, with an overview of the features, motivations and use cases of the tool.Methods: Sysrev. com is a FAIR motivated web platform for data curation and SER. Sysrev allows users to create data curation projects called “sysrevs” wherein users upload documents, define review tasks, recruit reviewers, perform review tasks, and automate review tasks.Conclusion: Sysrev is a web application designed to facilitate data curation and SERs. Thousands of publicly accessible Sysrev projects have been created, accommodating research in a wide variety of disciplines. Described use cases include data curation, managed reviews, and SERs.

scholarly journals Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface

10.2196/17964 ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. e17964
Author(s):  
Steven Cox ◽  
Stanley C Ahalt ◽  
James Balhoff ◽  
Chris Bizon ◽  
Karamarie Fecho ◽  
...  
Keyword(s):  
Web Application ◽  
Query Language ◽  
Environmental Data ◽  
Use Cases ◽  
Knowledge Graph ◽  
Translational Science ◽  
Knowledge Sources ◽  
Public Data ◽  
Knowledge Graphs ◽  
Upper Level

Background Efforts are underway to semantically integrate large biomedical knowledge graphs using common upper-level ontologies to federate graph-oriented application programming interfaces (APIs) to the data. However, federation poses several challenges, including query routing to appropriate knowledge sources, generation and evaluation of answer subsets, semantic merger of those answer subsets, and visualization and exploration of results. Objective We aimed to develop an interactive environment for query, visualization, and deep exploration of federated knowledge graphs. Methods We developed a biomedical query language and web application interphase—termed as Translator Query Language (TranQL)—to query semantically federated knowledge graphs and explore query results. TranQL uses the Biolink data model as an upper-level biomedical ontology and an API standard that has been adopted by the Biomedical Data Translator Consortium to specify a protocol for expressing a query as a graph of Biolink data elements compiled from statements in the TranQL query language. Queries are mapped to federated knowledge sources, and answers are merged into a knowledge graph, with mappings between the knowledge graph and specific elements of the query. The TranQL interactive web application includes a user interface to support user exploration of the federated knowledge graph. Results We developed 2 real-world use cases to validate TranQL and address biomedical questions of relevance to translational science. The use cases posed questions that traversed 2 federated Translator API endpoints: Integrated Clinical and Environmental Exposures Service (ICEES) and Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP). ICEES provides open access to observational clinical and environmental data, and ROBOKOP provides access to linked biomedical entities, such as “gene,” “chemical substance,” and “disease,” that are derived largely from curated public data sources. We successfully posed queries to TranQL that traversed these endpoints and retrieved answers that we visualized and evaluated. Conclusions TranQL can be used to ask questions of relevance to translational science, rapidly obtain answers that require assertions from a federation of knowledge sources, and provide valuable insights for translational research and clinical practice.

Sign in / Sign up

Export Citation Format

Share Document