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Interdisciplinary Project on OpenEventMap

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Interdisciplinary Project on OpenEventMap

  1. 1. Interdisciplinary Project on OpenEventMap Bibek Shrestha - bibek.shrestha@tum.de @bibstha Under supervision of Khatereh Polous - polous@bv.tu-muenchen.de
  2. 2. Table of Contents • • • • • • Objectives Introduction The OpenStreetMap Technology Stack Events, Event Tags and EventEditor JOSM Plugin OpenEventMap Event Visualization Conclusion
  3. 3. Objectives • Develop tools to enable collection and visualization of events within OpenStreetMap (OSM) platform. • Install infrastructure to run OpenStreetMap (OSM) locally. • • • Identify strategy for event data entry into OSM. Develop tools to facilitate data entry. Create web application for visualization of collected data.
  4. 4. Introduction
  5. 5. Introduction • “Free” : without much legal or technical limitations. “be creative” [1]. • Collaborative Ownership (wiki model). “go online, create an account and start editing”. • • Open database (downloadable) and modifiable. Open technology. “all software can be downloaded and run locally free of cost”. [1] http://wiki.openstreetmap.org/wiki/List_of_OSM_based_Services
  6. 6. OSM data
  7. 7. OSM data • Key = Value pairs (tags) represent properties. • Tags have meaning, affects how they are rendered in the map. • • Arbitrary tags can be entered. • So we decided to setup the database in our own server. Maintainers use tools to check if unwanted tags are present. Fix them and even ban users.
  8. 8. OSM data OSM data is all about tags. highway=residential name=Helene-Mayer-Ring 7 maxspeed=180 maxspeed:winter=80 The community agrees on certain key and value combinations for tags that are informal standards, documented extensively at [1] No tags for events “yet”. [1] http://wiki.openstreetmap.org/wiki/Map_Features
  9. 9. What we did Collect Event Data Create Tag Syntax Enter into local OSM database Setup local database JOSM Editor plugin
  10. 10. What is an event? An activity associated with a physical location that happened at certain point or period of time. Attributes that we capture for an event are: name description category sub_category classification. organization start_date end_date a longer event. url numparticipants howoften related_items
  11. 11. OSM tags for events Syntax event:<event_index>:<event_attribute> = value event_index belongs to [0,1,2,3,..,N] event_attribute is one of the values like name, category, subcategory, ...
  12. 12. OSM tags for events name = kaufingerstraße highway = pedestrian bicycle = no cycleway = no ... event = yes event:0:name = Christkindlemarkt event:0:category = social event:0:sub_category = Fairs / Festivals ... event:1:name = Munich Carnival event:1:category = social event:1:sub_category = Fairs / Festivals event:1:start_date = 07/01/2013 event:1:end_date = 12/02/2013 event:1:howoften = Yearly ... Contains two events: Christkindlemarkt, Munich Carnival.
  13. 13. OSM tags for events
  14. 14. OSM tags for events Adding tags is not trivial.
  15. 15. OSM tags for events
  16. 16. OSM tags for events
  17. 17. OSM tags for events
  18. 18. OSM tags for events
  19. 19. OSM tags for events
  20. 20. OSM tags for events
  21. 21. OSM tags for events
  22. 22. OSM tags for events
  23. 23. OSM tags for events Save
  24. 24. Event Visualization Good for • • OSM database Storage Flexibility for different data types • Easily modifiable. Bad for • Search
  25. 25. Event Visualization Figure 3: Comparison between OpenStreetMap and OpenEventMap table In OSM current_node_tags table, a single event data is stored across mult belows: node_id event yes 12345 event:0:name Oktoberfest 12345 event:0:category social 12345 event:1:name Frühlingsfest 12345 Event database v 12345 OSM database k event:1:category social into 11 The two events are converted into two single rows in search_event table as following: id event_type type_id number name category subcategory ... 1 node 12345 0 Oktoberfest social ... 2 node 12345 1 Frühlingsfest social ... The search_event table format makes it easier to do complex queries searching more than
  26. 26. Event Visualization Figure 3: Comparison between OpenStreetMap and OpenEventMap table In OSM current_node_tags table, a single event data is stored across mult belows: node_id event yes 12345 event:0:name Oktoberfest 12345 event:0:category social 12345 event:1:name Frühlingsfest 12345 Event database v 12345 OSM database k event:1:category social into checks for two events are converted into two single rows in search_event table as following: changes every 11 The minute id event_type type_id number name category subcategory ... 1 node 12345 0 Oktoberfest social ... 2 node 12345 1 Frühlingsfest social ... The search_event table format makes it easier to do complex queries searching more than
  27. 27. Event Visualization + Event database Open Event Map http://www.openeventmap.tum.de
  28. 28. Event Visualization Search Form
  29. 29. Event Visualization Search Results
  30. 30. Event Visualization
  31. 31. Event Visualization Location Search
  32. 32. Conclusion • • Objectives accomplished: • • • • Infrastructure of OSM installed locally. Strategy to enter events data developed. Data entry tool for events developed. Web application for visualization of collected data created. Learning Experience: • • • Working with OSM, Map Server and Map Rendering. Basics of Cartography and Map making. Data visualization and its importance.
  33. 33. Thank You Questions? Bibek Shrestha bibek.shrestha@tum.de @bibstha
  34. 34. Links to download Our source codes are online. OpenEventMap web application https://bitbucket.org/polous/openeventmap JOSM plugin https://bitbucket.org/polous/osm-event-plugin Project documentation https://bitbucket.org/polous/openeventmap/wiki/Home

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