Abstract
The SDI4Apps project has collected a large number of points of interest (POIs). The Smart Points of Interest (SPOI) represents a seamless and open resource of POIs covering all the world. Its principal target has been to provide information for cycling as Linked data together with other data sets containing road network. But the current version can be used for any purposes related to tourism. The article presents the data model for POIs as a basis for harmonization of external data sources into this data model. The current version of the SPOI data set includes a harmonized combination of selected OpenStreetMap data, GeoNames.org, experimental geo-ontologies developed at the University of West Bohemia and local data. The data model follows the recommendations for RDF data sets, semantic data, and Linked Data as well as the data model published in Points of Interest Core. The SPOI knowledge base complies with the 5-star rating system of Linked Open Data. The data model re-uses several important, respected and standardized formats and vocabularies such as XML, XML Schema, RDF, RDFS, SKOS (Simple Knowledge Organization System), GeoSPARQL or FOAF (Friend of a Friend).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Information and Communication Technologies.
- 2.
The data model scheme is not included in this text, because it is very large. It is available on the SPOI web page (gis.zcu.cz/spoi).
References
Andrae S, Erlacher C, Paulus G, Gruber G, Gschliesser H, Moser P, Sabitzer K, Kiechle G (2011) OpenPOI–Developing a web-based portal with high school students to collaboratively collect and share points-of-interest data. Learn Geoinf 66–69
Atemezing GA, Troncy R (2012) Comparing vocabularies for representing geographical features and their geometry. In: Terra Cognita 2012 Workshop, p 3
Auer S, Lehmann J (2009) LinkedGeoData–collaboratively created geo-information for the semantic web. Semantic Web Challenge, ISWC
Auer S, Lehmann J, Hellmann S (2009) Linkedgeodata: adding a spatial dimension to the web of data. Springer, Berlin, pp 731–746
Berners-Lee T (2009) Linked data. Design, Issues W3C
Bizer C, Heath T, Berners-Lee T (2008) Linked data: principles and state of the art. In: World wide web conference
Bizer C, Heath T, Berners-Lee T (2009) Linked data-the story so far. Semant Serv Interoperability Web Appl Emerg Concepts 205–227
Brickley D (2006) Basic geo (WGS84 lat/long) Vocabulary, World Wide Web Consortium
Čerba O (2010) XSLT templates for thematic maps. Springer, Berlin, pp 181–192
Čerba O, Čepický J (2012) Web services for thematic maps. In: Online maps with APIs and webservices, pp 141–155. Springer, Berlin
Goodchild MF (1992) Geographical data modeling. Comput Geosci 18(4):401–408
Hausenblas M (2009) Exploiting linked data to build web applications. IEEE Internet Comput 4:68–73
Heath T, Hausenblas M, Bizer C, Cyganiak R, Hartig O (2008) How to publish linked data on the web. In: Tutorial in the 7th international semantic web conference. Karlsruhe, Germany
Hill A, Womer M (2012) Point of interest core. W3C Editor’s Draft
Jakobson G, Rueben S (2013a) US patent application 13/986,744
Jakobson G, Rueben S (2013b) US patent application 13/987,075
Janowicz K, Hitzler P, Adams B, Kolas D, Vardeman C (2014) Five stars of linked data vocabulary use. Semant Web 5(3):173–176
Janowicz K, Scheider S, Pehle T, Hart G (2012) Geospatial semantics and linked spatiotemporal data-past, present, and future. Semant Web 3(4):321–332
Kritikos K, Rousakis Y, Kotzinos D (2013) Linked open GeoData management in the cloud. In: Proceedings of the 2nd international workshop on open data, p 3. ACM
Kuhn W, Kauppinen T, Janowicz K (2014) Linked data-a paradigm shift for geographic information science. In: Geographic information science, pp 173–186. Springer
Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2001) Geographic information system and Science. Wiley, England
Singh R (2012) Framing a geo strategy for the web with points-of-interest data. In: Invited presentation in the 5th International Terra Cognita Workshop 2012 In Conjunction with the 11th International Semantic Web Conference. Boston, USA
Shekhar S, Coyle M, Goyal B, Liu DR, Sarkar S (1997) Data models in geographic information systems. Commun ACM 40(4):103–111
Tomlinson RF (2007) Thinking about GIS: geographic information system planning for managers. ESRI, Inc
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Čerba, O., Charvát, K., Mildorf, T., Bērziņš, R., Vlach, P., Musilová, B. (2016). SDI4Apps Points of Interest Knowledge Base. In: Gartner, G., Jobst, M., Huang, H. (eds) Progress in Cartography. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-19602-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-19602-2_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19601-5
Online ISBN: 978-3-319-19602-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)