The ‘Where’ question is central to our everyday lives. Geospatial data shapes our ability to answer that question and build intelligent applications, whether on the web or on your mobile device.
Supported by contributions from crowd-sourced data projects and open source software, geo data and its technology spectrum has grown impressively in recent years. In the face of this massive and diverse range of spatial data and technologies, the ability to choose effective methods for storage, retrieval and visualisation becomes critical .
The Cartonama conference is about geographic data, the technology behind it, the applications built around it and the overarching aspect of community and mobility.
We will organize workshops along with the conference. The goal would be to provide hands-on training to collect, store and visualize geographic data, and finally, to build location-based services with these tools. Workshop theme falls into:
- Nature of Geospatial Data: Structure, Formats and Operations
- Collection, Storage & Delivery of Geospatial Data: Crowd-sourced Models, Standards and Databases
- Location-based Services: Front-end and Back-end tools to build and manage your applications
- Leveraging Open Geographic Data Repositories: Using OpenStreetMap to visualize and tell stories through maps
You can submit your workshop proposals via the submissions through the funnel below.
You can submit a proposal to speak at Cartonama via the submission funnel below. Please describe your proposal in as much detail as possible. Detail is important if you'd like to be voted up into the schedule.
Your submission will be up for public voting for up to 2 weeks before the event. For the final tally, we will only consider votes from ticket holders, as a way to ensure participants get exactly what they pay for.
Making a funnel submission does not guarantee final selection. Selected speakers will get a free ticket to the event (limited to one speaker per proposal). Proposers whose talks are not on the final schedule will be able to purchase tickets at the prevailing rate for the day on which they made their proposal.
You can buy a ticket to the event here.
Sourcing, processing, and indexing location data for search
One can learn about the following by attending the lecture:
1. Open sources of geodata
2. Tools to process such data
3. Indexing them to build a simple location-enabled search engine
- Open sources for location information associated with structured and semi-structured data
Wikipedia, DBPedia, Freebase, Geonames, US Military database etc.
- Tools and methods to process the identified feeds:
Google Refine, RDF libraries, custom feed processors
- Building a simple search engine using the data processed above to support the following:
Point, range, and neighbourhood searches
Draws from my experience extracting information from various online sources for building a mobile search engine (zook.in) as well as for building custom search systems at Ideophone.
A basic idea of the following:
Sundar has built/worked-on a number of information retrieval systems for Y! Travel, Shopping, Hotjobs, zook.in, and Ideophone. His primary work has been in crawling the web, extracting structured data from semi-structured information and processing that for indexing.