Geotagging Photographs By Sanjay Rana
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Presentation proposes a formal approach to represent and analyse tag clouds, using the principles of cartography and graph theory.
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Students will develop the ability to tell a story about the topic under investigation and what constitutes the network.
Requirements:
Please bring your own computer and get familiar with
Retina (https://ouestware.gitlab.io/retina/beta/)
An example of a network 👉 link.
Related projects
Venturini, T., Jacomy, M., & Jensen, P. (2021). What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211018488
Omena, J.J.(2021). Digital Methods and Technicity-of-the-Mediums. From Regimes of Functioning to Digital Research. [Doctoral Dissertation, Nova University Lisbon]. Repositório da Universidade Nova de Lisboa. http://hdl.handle.net/10362/127961
Venturini, Tommaso & Bounegru, Liliana & Jacomy, Mathieu & Gray, Jonathan. (2017). 11. How to Tell Stories with Networks Exploring the Narrative Affordances of Graphs with the Iliad: Studying Culture through Data. 10.1515/9789048531011-014.
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Janna Joceli Omena
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Mind the Gap: Another look at the problem of the semantic gap in image retrieval
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http://eprints.soton.ac.uk/261887/
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Byron Moldofsky, GIS and Cartography Office, Department of Geography and Planning, University of Toronto
Marcel Fortin, Map and Data Library, University of Toronto
The Canadian Historical Geographic Information Systems (HGIS) Partnership Development Project is a diverse group of geographers, historians, librarians, research NGOs, GIS companies, and members of the public. We are working to improve our collective ability to research historical subjects using GIS, and map them, primarily on the web. We are reaching out to the larger HGIS community to consolidate knowledge about what kinds of resources are currently available, and what will be needed in the future - not only to build historical GIS data and tools, but also to facilitate collaboration and data-sharing. In the first year of this two-year project we are laying the groundwork by reviewing current capabilities and needs, including doing a user needs survey for HGIS web-mapping. This presentation will present preliminary results from this study, and will discuss plans for pilot projects in the coming year.
IRJET- Efficient Geo-tagging of images using LASOM
https://www.irjet.net/archives/V5/i3/IRJET-V5I3780.pdf
PhD defense : Multi-points of view semantic enrichment of folksonomies
This thesis, set at the crossroads of Social Web and Semantic Web, is an attempt to bridge Social tagging-based systems with structured representations such as thesauri or ontologies (in the informatics sense). Folksonomies resulting from the use of social tagging systems suffer from a lack of precision that hinders their potentials to retrieve or exchange information. This thesis proposes supporting the use of folksonomies with formal languages and ontologies from the Semantic Web. Automatic processing of tags allows bootstraping the process by using a combination of a custom method analyzing tags' labels and adapted methods analyzing the structure of folksonomies. The contributions of users are described thanks to our model SRTag, which allows supporting diverging points of view, and captured thanks to our user friendly interface allowing the users to structure tags while searching the folksonomy. Conflicts between individual points of view are detected, solved, and then exploited to help a referent user maintain a global and coherent structuring of the folksonomy, which is in return used to garanty the coherence while enriching individual contributions with the others' contributions. The result of our method allows enhancing the navigation within tag-based knowledge systems, but can also serve as a basis for building thesauri fed by a truly bottom up process.
Ic3414861499
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A Study on Data Visualization Techniques of Spatio Temporal Data
Data visualization is an important tool to analyze complex Spatio Temporal data. The spatio-temporal data
can be visualized using 2D, 3D or any other type of maps. Cartography is the major technique used in
mapping. The data can also be visualized by placing different layers of maps one on other, which is done by
using GIS. Many data visualization techniques are in trend but the usage of the techniques must be decided
by considering the application requirements.
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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Geotagging Photographs By Sanjay Rana
- 1. GeoTagging Photographs | Sanjay Rana
- 28. Simple Tag Cloud Source: ManyEyes Project Keywords For Photographs Of Dubai
- 29. Advanced Tag Cloud Elastic Tag Maps by Moritz Stefaner Source: well-formed-data.net
- 30. Cartogram Number of Internet Users in 2002 Source: WorldMapper.Org
- 31. Visual Variables Source: How Maps Work (MacEachren, 2004)
- 32. Dynamic Maps Source: GeoVista, University of Pennsylvania
- 33. Scale-Free Network Is it the case that there are a few tags that exist in a lot of photographs while most photographs have dissimilar tags – Scale Free Network and Small-World Networks ?
- 34. Misinformation How to Lie with Maps (Monmonier 1996) = How to lie with Photographs or How to lie with geo-tags…?