Projects

LOD4WFS Adapter (Linked Open Data for Web Feature Services)

The LOD4WFS Adapter (Linked Open Data for Web Feature Services) is a service to provide access to Linked Geographic Data from Geographic Information Systems (GIS). It implements a service which listens to WFS requests and converts these requests into the SPARQL Query Language for RDF. After the SPARQL Query is processed, the LOD4WFS Adapter receives the RDF result set from the Triple Store, encodes it as a WFS XML document, and returns it to the client, e.g. a GIS. This approach enables current GIS to transparently have access to geographic LOD data sets, using their implementation of WFS – without any adaptation whatsoever being necessary. In order to reach a higher number of GIS, the currently most common implementation of WFS has been adopted for the LOD4WFS Adapter, namely the OGC Web Feature Service Implementation Specification 1.0.0. 

WMSS (Web Music Score Service)

The Web Music Score Service (WMSS) is an interface that allows the discovery of music scores on the web using platform-independent clients. It serves as an intermediate layer between data sets and application clients, providing standard access to MEI and MusicXML files.

MusicOWL – Music Score Ontology

MusicOWL is an OWL Ontology for encoding music scores of western music. It provides a comprehensive vocabulary that covers important music-related information, such as melodies, voices, dynamics, and tonalities. 

MusicXML to RDF Converter

The MusicXML to RDF converter parses MusicXML files and converts them to RDF, based on the MusicOWL Ontology.

 

Publications

Selection of publications related to the LODUM projects.

• 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.
• 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. Semantic Web Journal. IOS Press, 2015.
• Müller, F., & Lemke, D. (2015). Ein Linked Data basierendes Web-GIS zur Erkundung krebsbezogener Ursache-Wirkungs-Beziehungen in epidemiologischen Anwendungen. In 10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie. Potsdam, Germany.
• Scheider Simon, Nemanja Kostic (2015) Automated Generation of Indoor Accessibility Information for Mobility-Impaired Individuals.  In F. Bacao, M. Santos, & M. Painho (Eds.), AGILE 2015 – Geographic Information Science as an Enabler of Smarter Cities and Communities (pp. 235–252). Lisbon, Portugal: Springer International Publishing.
  
• Müller Friedrich, Dorothea Lemke (2015) “Linked Data basierter Explorer für krebsrelevante Ursache-Wirkungs-Beziehungen im raum-zeitlichen Kontext”. In FOSSGIS 2015 (Abstract)
• Scheider Simon, Degbelo Auriol, Kuhn Werner and Przibytzin Holger (2014). Content and context description – How linked spatio-temporal data enables novel information services for libraries. gis.Science (4):138 -149.
• Kuhn, W., Kauppinen, T., and Janowicz, K. (2014). Linked Data – A paradigm shift for Geographic Information Science. In Proceedings of the Eighth International Conference on Geographic Information Science (GIScience2014), Vienna University of Technology, Austria.
• Francis Harvey, Jim Jones, Simon Scheider, Adam Iwaniak, Iwona Kaczmarek, Jaromar Lukowicz 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.
• 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.
• Jim Jones, Werner Kuhn, Carsten Keßler and Simon Scheider. Making the Web of data Available Via Web Feature Services. AGILE 2014. Castellón, Spain. 17th AGILE Conference on Geographic Information Science, 2014.
• Thomas Bartoscheck, Gerald Pape, Christian Kray, Jim Jones, Tomi Kauppinen. Gestural Interaction with Spatiotemporal Linked Open Data. Free and Open Source Software for Geospatial (FOOS4G 2013), Nottingham, England. OSGeo Journal. FOSS4G Conference Proceedings, 2013.
• Carsten Keßler, Krzystof Janowicz and Tomi Kauppinen (2012) spatial@linkedscience – Exploring the Research Field of GIScience with Linked Data. In Ningchuan Xiao, Mei-Po Kwan, Michael F. Goodchild, and Shashi Shekhar: Geographic Information Science. 7th International Conference, GIScience 2012, Columbus, OH, USA, September 18-21, 2012. Proceedings. Springer Lecture Notes in Computer Science Volume 7478: 102–115.
• Carsten Keßler, Mathieu d’Aquin, and Stefan Dietze (eds.) (2012) Semantic Web Journal special issue on Linked Data for Science and Education. Semantic Web Journal 4(1).
• Tomi Kauppinen, Line C. Pouchard, and Carsten Keßler (eds.) (2012) Proceedings of the Second International Workshop on Linked Science – Tackling Big Data (LISC 2012) at International Semantic Web Conference (ISWC 2012), Boston, MA, USA, November 12, 2012. Volume 951 of CEUR-WS.org, ISSN 1613-0073.
• Krzystof Janowicz, Carsten Keßler, Tomi Kauppinen, Dave Kolas, and Simon Scheider (eds.) (2012) Proceedings of the Workshop on GIScience in the Big Data Age 2012 (GIBDA 2012) at the Seventh International Conference on Geographic Information Science 2012 (GIScience 2012), Columbus, OH, USA, September 18th, 2012.
• Tomi Kauppinen, Alkyoni Baglatzi and Carsten Keßler. Linked Science: Interconnecting Scientific Assets. In Terence Critchlow and Kerstin Kleese-Van Dam (Eds.): Data Intensive Science. CRC Press, USA, 2012. [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, 2012.
• Tomi Kauppinen, Line C. Pouchard, Carsten Keßler (Eds.): Proceedings of the First International Workshop on Linked Science 2011, Bonn, Germany, October 24, 2011. CEUR Workshop Proceedings, Volume 783, available at http://www.ceur-ws.org/Vol-783/.
• Tomi Kauppinen and Giovana Mira de Espindola.Linked Open Science—Communicating, Sharing and Evaluating Data, Methods and Results for Executable Papers. The Executable Paper Grand Challenge, in proceedings of The International Conference on Computational Science (ICCS 2011). Elsevier Procedia Computer Science series, Singapore, June, 2011.
• Johannes Trame, Philippe Rieffel, Umut Tas, Alkyoni Baglatzi, and Volker von Nathusius, 2011. LOSM – A lightweight approach to integrate OpenStreetMap into the Web of Data. Geoinformatics 2011, Münster, Germany.
• Krzysztof Janowicz, Sven Schade, Arne Bröring, Carsten Keßler, Patrick Maué, and Christoph Stasch (2010) Semantic Enablement for Spatial Data Infrastructures. Transactions in GIS 14(2) : 111–129. DOI:10.1111/j.1467-9671.2010.01186.x
• Simon Scheider, Carsten Keßler, Jens Ortmann, Anusuriya Devaraju, Johannes Trame, Tomi Kauppinen, Werner Kuhn, Semantic Referencing of Geosensor Data and Volunteered Geographic Information. In Naveen Ashish and Amit Sheth (Eds.): Geospatial Semantics and Semantic-Web: Foundations, Algorithms, Applications. Springer book series, Semantic Web and Beyond: Computing for Human Experience.
• Carsten Keßler and Krzysztof Janowicz (2010) Linking Sensor Data – Why, to What, and How? In Kerry Taylor, Arun Ayyagari, David De Roure (Eds.) : Proceedings of the 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), 7–11 November 2010, Shanghai, China. CEUR-WS vol. 668.