Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

04 Applications of Smart Points of Interest

103 views

Published on

Otakar Čerba – Applications of Smart Points Of Interest

Published in: Data & Analytics
  • Be the first to comment

04 Applications of Smart Points of Interest

  1. 1. Applications of Smart Points Of Interest Otakar Čerba University of West Bohemia, Plzeň, Czech Republic
  2. 2. Outline About Smart Points of Interest (SPOI) Examples of applications – map client Future steps of SPOI development
  3. 3. Motivation – Why did we start to develop SPOI 1. Request for open data for tourism, including promotion of services or regions → data focused on interesting places or features (points of interest) 2. Need to interconnect this data with existing data, but also non-structured information (photos, maps, text documents, records. . . ) → Linked Data approach 3. Demand on seamless data (without state borders) → one global dataset enabling any type of data querying (GeoSPARQL) 4. Low costs on data production and management → data from various existing resources, but published in the uniform data model and with use standards 5. Possibility of an attractive visualization (maps), integration to external application and simple editing → support by independent simple tools based on standards
  4. 4. Smart Points of Interest (SPOI) ~27 000 000 points published as 5* Linked Open Data Data access Map client (within editing) SPARQL endpoint (results exported to JSON, CSV, RDF. . . ) Web page: gis.zcu.cz/spoi SPOI description Links to map client and SPARQL endpoint Data model, harmonization scheme, list of changes, metadata DOAP a VoID
  5. 5. SPOI Populating 49 external data resources Global datasets – OpenStreetMap, Natural Earth, GeoNames.org Local data from Citadel on the Move project Local data – small regions from Italy, Belgium, Czechia or Latvia Harmonization process (automated / semi-automated – various tools) Filtering Format conversion Data models conversion Coordinates transformation Adding links, metadata
  6. 6. Vocabularies RDF, RDFS – basic framework for SPOI data stored as RDF triple OWL, SKOS – identity links FOAF – attributes with contact information ISA Programme Location Core Vocabulary – addresses GeoSPARQL – topological relation Dublin Core, DOAP, VoID – metadata
  7. 7. Links Sematical / vocabulary links → SPOI Ontology (→ GEMET, Eurovoc, OpenStreetMap) Identity links → LinkedGeoData / OpenStreetMap, GeoNames.org Topological links → DBpedia, GeoNames.org Extension / relationship links → non-structured data (photos, Wikipedia, maps. . . )
  8. 8. SPOI Visualization By J. Kellar (as testing of Big Spatial Data visualization)
  9. 9. Map client HS Layers – libraries OpenLayers a ExtJS, open source pod GNU/GPL license Functions – zooming, paning, layer switcher, various background maps, searching, change of visual properties of layers. . . Relation to Open Weather Map Sharing – providing of HTML code to integrate SPOI to any web page Editing – adding new points, editing attributes of existing points
  10. 10. Map client (Nicolosi, Italy)
  11. 11. Tourism Applications Smart Tourism Guide (by J. Macura) SPOI searching based on coordinates or GeoNames.org objects without a need of SPARQL or GeoSPARQL experince Data export to KML or GPX Local guides (Peregrinus project, farms) Generating web pages with information on interesting places
  12. 12. Smart Tourism Guide (Plzeň, Czech Republic) – map
  13. 13. Local Guide (Týnec, Czech Republic) – web page
  14. 14. Local Guide (Týnec, Czech Republic)
  15. 15. WebGlayer vizualization Experimental spatial Big Data visualization (by Jáchym Kellar supervised by Jan Ježek) Rigu, Latvia Heat map Real-time madification of the map (filtering, selection by area. . . )
  16. 16. WebGLayer (Riga)
  17. 17. Future Steps Data collecting and uploading optimization Data model & metadata → exchange format Massive linking New data & new data resources (Wikidata, DBpedia) Errors & duplicities eliminating Update procedure Better map client (visual hierarchy, clustering. . . ) New application and services based on SPOI (AR with SPOIs) Promotions and consultations
  18. 18. Conclusions – Benefits of SPOI Common data model Re-using existing standards Linked Open Data SPARQL endpoint Community (students, locals, projects – SDI4Apps, Peregrinus, OTN. . . )
  19. 19. Thank you for attention and questions Otakar Čerba (https://cz.linkedin.com/in/otakarcerba) gis.zcu.cz/spoi

×