Welcome

Geospatial Data and the Semantic Web

Geospatial data or geographic information is the data that identifies a geographic location of natural or constructed features and boundaries on the Earth (e.g. oceans, buildings, countries, rivers, etc). Geographical knowledge bases are among the largest in existence and have high importance in a variety of everyday applications. The data can be mapped and often manipulated with Geographic Information Systems (GIS), however the integration of external data sets into these systems is time-consuming and complex. GeoKnow will provide the necessary tools and methods to easily integrate and process data across a wide range of data sources on the web of data.

Possibly one of the most interesting and promising outcomes of the activity surrounding the Web 2.0 evolution has been the large-scale adoption of Linked Data. Among the largest data sets are those with explicit geographic references, e.g. LinkedGeoData (2 billion triples), DBpedia (1 billion triples) and GeoNames (146 million triples). Other data sets carry implicit geographic references such as PubMed (797 million triples) or Freebase (1 billion triples). A problem GeoKnow aims to solve is the lack of rich geospatial links between the data.

The Linked Open Data cloud as of September 2011

GeoKnow in a nutshell

What

  • Bring geospatial knowledge integration to the Linked Data Web
  • Billion-triple geospatial reasoning and data provenance
  • Qualitative interlinking and fusing of geospatial and semantic information
  • Adaptive geospatial exploration, authoring and curation

Why

  • Unlock isolated islands of geographic information
  • 80% of all data has some spatial dimension, most of it is not processable today
  • Geographic data authoring with millions of users requires powerful tools

For whom

  • Added value for the companies and the Linked Data Web community
  • Cost-effective data integration for SMEs
  • Enterprises can add value to their data with volunteered geographic information
  • Users from travel industry will benefit from more background information

Hosted by

Universität Leipzig , InfAI: Institut für Angewandte Informatik

Funded by

EU Seventh Framework Programme (FP7)

Community and Social Media

Google+

News

GeoKnow at the European Data Forum 2014 ( 2014-03-28T14:48:23+01:00 Uroš Milošević)

2014-03-28T14:48:23+01:00 Uroš Milošević

On March 19-21, GeoKnow joined forces with the LOD2 project to present their goals and achievements at the European Data Forum in Athens, Greece. The event at the Royal Olympic Hotel in the heart of the Greek capital was opened by a welcome speech by Ms. Neelie Kroes, the European Commissioner for Digital Agenda. Read more about "GeoKnow at the European Data Forum 2014"

Linked Geospatial Data 2014 Workshop, Part 4: GeoKnow, London, Brussels, The Message ( 2014-03-15T14:12:08+01:00 Hugh Williams)

2014-03-15T14:12:08+01:00 Hugh Williams

Last Friday (2014-03-14) I gave a talk about GeoKnow at the EC Copernicus Big Data workshop. This was a trial run for more streamlined messaging. I have, aside the practice of geekcraft, occupied myself with questions of communication these last weeks. Read more about "Linked Geospatial Data 2014 Workshop, Part 4: GeoKnow, London, Brussels, The Message"

Linked Geospatial Data 2014 Workshop, Part 3: The Stellar Reach of OKFN ( 2014-03-15T13:00:08+01:00 Hugh Williams)

2014-03-15T13:00:08+01:00 Hugh Williams

The Open Knowledge Foundation (OKFN) held a London Open Data Meetup in the evening of the first day of the Linked Geospatial Data 2014 workshop. The event was, as they themselves put it, at the amazing open concept office of OKFN at the Center for Creative Collaboration in Central London. What could sound cooler? Read more about "Linked Geospatial Data 2014 Workshop, Part 3: The Stellar Reach of OKFN"

Linked Geospatial Data 2014 Workshop, Part 2: Is SPARQL Slow? ( 2014-03-15T12:00:34+01:00 Hugh Williams)

2014-03-15T12:00:34+01:00 Hugh Williams

I had a conversation with Andy Seaborne of Epimorphics, initial founder of the Jena RDF Framework tool chain and editor of many W3C recommendations, among which the two SPARQLs. We exchanged some news; I told Andy about our progress in cutting the RDF-to-SQL performance penalty and doing more and better SQL tricks. Read more about "Linked Geospatial Data 2014 Workshop, Part 2: Is SPARQL Slow?"

Linked Geospatial Data 2014 Workshop, Part 1: Web Services or SPARQL Modeling? ( 2014-03-15T11:00:12+01:00 Hugh Williams)

2014-03-15T11:00:12+01:00 Hugh Williams

The W3C (World Wide Web Consortium) and OGC (Open Geospatial Consortium) organized the Linked Geospatial Data 2014 workshop in London this week. The GeoKnow project was represented by Claus Stadler of Universität Leipzig, and Hugh Williams and myself (Orri Erling) from OpenLink Software. The Open Knowledge Foundation (OKFN) also held an Open Data Meetup in the evening of the first day of the workshop. Read more about "Linked Geospatial Data 2014 Workshop, Part 1: Web Services or SPARQL Modeling?"