Many different applications we deal with on a daily basis have some kind of geographic dimension. This geospatial information is normally required for decision making at different levels. However, this information is dispersed among a multiplicity of sources. At GeoKnow we aim to make information seeking easier by allowing exploration, editing and interlinking of heterogeneous information sources with a spatial dimension.
Now we are interested in getting to know the people that face these kinds of issues in their everyday work. We have created a survey to help us to understand and to hear more about their experience with geospatial data. This survey targets geospatial data consumers and providers, and GIS users interested in having an integrated web of geospatial data.
If you use geospatial data in your work, your contribution in this survey will be highly appreciated. The outcome of this survey will impact the use cases and requirements for the GeoKnow project, which aims to create a versatile software framework to rapidly generate spatial semantic web applications.
We are offering a 20 euro Amazon voucher to the first 50 completed surveys. Willing to participate? Please go right away to:
The Geoknow Survey
We value your participation!
Paulinum – Aula und Universitätskirche St. Pauli and Augusteum
Last week (January 16th and 17th), we were warmly received by the InfAI team at one of the most interesting architectural buildings in Leipzig – the Paulinum at Universität Leipzig – to kick off the GeoKnow project. The meeting brought several discussions around the GeoKnow objectives to the table. Besides general discussions, in which everyone presented themselves and his/her role within the consortium, parallel meetings were organised where we discussed about research on spatial data as well as user scenarios and requirements within GeoKnow.
Geospatial Data Research
Research work package meetings were very interesting with discussions revolving around:
- How to benchmark geospatial data: Geo-spatial data storage is a challenge considering that there are points, lines and polygons describing data along with the usual structured information, which end up being stored in very large databases. Large datasets are combined with powerful distributed querying, which will be benchmarked in the project.
- Data fusing and link discovering: There is a lot of geospatial data and non-geospatial data that we can use on our scenarios. Therefore, we investigate efficient tools for fusing data and link discovering to enrich both geographical and not geographical data.
- Visualisation paradigms: visualisation requires to be as responsive and lightweight as possible – we discussed how to optimise data and data storage to cope with these objectives.
GeoKnow Generator and User Scenarios
Also during our kick-off, we discussed about the GeoKnow Generator. This framework is aimed to be used by anyone who wants to generate geospatial semantic web applications rapidly, and integrates the components (for querying, linking, browsing, editing, quality assurance) we are developing in the project. We pictured the first architecture of the GeoKnow Generator and the first user requirements according to our use case scenarios:
- Supporting supply chains: manufacturers need to improve information flow of material shipping from suppliers to its destination. Since they usually work in a just in time strategy, they need to avoid and anticipate any possible delay in the arrival of their materials. In our meeting, we could identify relevant requirements such as to be able to visualize real time data (route tracking material) and static data (supplier data) together with semantically enhanced message systems.
- Connecting E-Commerce information systems: Internet-based travel portals handle data of various types and sources (e.g. CRM system, travel agency products, POIs, hotel data, flight connections, etc) where linked data can overcome the problem of scalability and data integration. Improved management of geographical data in this use case provides benefits for travel agencies, customers and service providers since the geographical aspects will help in the discovery and matching of products and customers.
The meetings around use cases helped us to start a user requirements definition. However, we are also interested in hearing other use cases exploiting linked spacial data. You can drop us a message at firstname.lastname@example.org if you are interested in exploiting geospatial linked data in your use case.
We want to thank to all partners for joining and contributing to the meeting and look forward to interesting research and applications within the project. Come back soon to read more about Geoknow.