RDFa
Jim Jones
orcid.org/0000-0001-5213-6469
PhD student and Research Associate.
Software Engineer and MSc. in Geoinformatics at the Institute for Geoinformatics from University of Münster, Germany.
Contact
E-mail: jim.jones@uni-muenster.de
Institut für Geoinformatik
Westfälische Wilhelms-Universität Münster
Heisenbergstraße 2
48149 Münster
Germany
Interests
Current Projects
Former Projects
Publications
- Jim Jones. Web Music Score Service - A generic web repository for music scores. (in preparation)
- Jim Jones, Diego Siqueira, Kleber Tertuliano, Tomi Kauppinen. MusicOWL: The Music Score Ontology. IEEE/ACM/WI Conference, Leipzig, Germany, WI '17 Proceedings of the International Conference on Web Intelligence. ACM, 2017. [bibtex]
- Simon Scheider, Auriol Degbelo, Rob Lemmens, Corne van Elzakker, Peter Zimmerhof, Nemanja Kostic, Jim Jones, Gautam Banhatti. Exploratory querying of SPARQL endpoints in space and time. in Semantic Web Journal. IOS Press, 2015. [bibtex]
- Jim Jones, Werner Kuhn, Carsten Keßler, Simon Scheider. Making the Web of Data Available via Web Feature Services. AGILE 2014, Castellón, Spain. 17th AGILE Conference on Geographic Information Science, 2014. [bibtex]
- Simon Scheider, Jim Jones, Carsten Keßler, Alber Sánchez. Encoding and querying historic map content. AGILE 2014, Castellón, Spain. 17th AGILE Conference on Geographic Information Science, 2014. [bibtex]
- Gilberto Câmara, Max Egenhofer, Karine Ferreira, Pedro Ribeiro De Andrade, Gilberto Queiroz, Alber Sánchez, Jim Jones and Lúbia Vinhas. Fields as a Generic Data Type for Big Spatial Data. GIScience 2014, Vienna, Austria. Eighth International Conference on Geographic Information Science, 2014.
- Francis Harvey, Jim Jones, Simon Scheider, Adam Iwaniak, Iwona Kaczmarek, Jaromar Łukowicz and Marek Strzelecki. Little Steps Towards Big Goals. Using Linked Data to Develop Next Generation Spatial Data Infrastructures (aka SDI 3.0). AGILE 2014, Castellón, Spain. 17th AGILE Conference on Geographic Information Science, 2014. [bibtex]
- Thomas Bartoschek, Gerald Pape, Christian Kray, Jim Jones, Tomi Kauppinen. Gestural Interaction with Spatiotemporal Linked Open Data. Free and Open Source Software for Geospatial (FOSS4G 2013), Nottingham, England. OS Geo Journal. FOSS4G Conference Proceedings, 2013. [bibtex]
- Marcio Pupin Mello, Daniel Alves Aguiar, Edzer Pebesma, Bernardo Friedrich Theodor Rudorff, Jim Jones, Naiara Carolina Pontes Santos. Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil. Proceedings of the 33th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2013), Melbourne, Australia. Conference Proceeding, 2013. [bibtex]
- Tomi Kauppinen, Giovana Mira de Espindola, Jim Jones, Alber Sánchez, Benedikt Graeler and Thomas Bartoschek. Linked Brazilian Amazon Rainforest Data. In Semantic Web journal, Special Call for Linked Dataset descriptions, Volume 5, Number 2, 2014, IOS Press., 2012. [bibtex]
- Jim Jones, Vanilson Burégio, Gabor Sipkoi. An architeture for telemetry-based systems to control remote devices via GPRS. In Revista Científica Tecnologus, 2nd Edition, 2007. [bibtex]
Presentations
Awards
- Best Full Paper Award at AGILE 2014. June 6th, 2014, Castellón, Spain. Awarded with the paper Encoding and querying historic map content. Simon Scheider, Jim Jones, Carsten Keßler, Alber Sánchez.
- NASA World Wind Student Award. Europa Challenge: NASA World Wind Apps for INSPIRE. INSPIRE Conference 2013, Florence, Italy. Awarded with the software Europa Linked Observation Browser
- Wissenschaft Interaktiv 2012 - Publikumspreis. Competition: Wissenschaft im Dialog. June 5th, 2012, Lübeck, Germany. Awarded with the exhibit Dreieck der Nachhaltigkeit, from the public perspective, as the most attractive exhibit in the Wissenschaft Interaktiv 2012.
Published Software Tutorials and Specifications
- NASA World Wind SDK Tutorial. A tutorial that covers many aspects of the NASA World Wind SDK, going step by step through several examples, from beginners to experienced Java developers.
- Open Linked Amazon Vocabulary (OLA). A Linked Open Data vocabulary designed to better structure observations. Conceptualized to help describing the deforestation phenomena in the Brazilian Amazon Rainforest.
Press
September 7th, 2017