Why Linked data is a solution also for GIS and geodata

Session

I arkitektens fodspor

Resume

Linked data, graph databases, and semantic web technologies are widely applied on financial data, in life science, and for big data analysis. In the new world of open and accessible geodata, they will soon be an important part of new solutions.

To introduce new users, we will demonstrate how a graph database differs from traditional relational databases. We will also demonstrate some examples of how semantic web technology can provide solutions to common problems when working with BIM, GIS and geodata.

Using Kortforsyningen as an example, we will demonstrate how the existing method of describing each delivery format can be replaced by a process using semantic web technologies. Another example explains how frequent updating of large dataset can be easier using linked data in info containers. A third example is the combination of GIS and BIM data for housing and infrastructure projects.

Målgruppe

De, der er interesserede i den tekniske udvikling af grafdatabaser, semantiske Web, linked data og ontologier.

De, der er interesserede i, at GIS, data og løsninger kan arbejde sammen.

De, der længes efter bedre løsninger til at konvertere GIS- og BIM-data.

Abstract

Linked data, graph databases, and semantic web technologies have been around for a while. They are widely applied on financial data, in life science, and for big data analysis. In the new world of open and accessible geodata, they will soon be an important part of new solutions.

This technology is complex and difficult to access for new users, even if very familiar with traditional GIS and database solutions. To introduce new users, we will demonstrate how a graph database differs from traditional relational databases. We will also demonstrate some examples of how semantic web technology can provide solutions to common problems when working with BIM, GIS and geodata.

One common problem in GIS is to distribute and exchange data in different formats. Using Kortforsyningen as an example, the specifications are normally contained in look-up tables with all details needed for the data to have the same content in each delivery format. We will demonstrate how this can be replaced by a process where semantic ontologies direct the automatic transformations. Using such a standardized method to describe the transformations will make any future changes easier.

Another common problem is that large datasets are normally updated by many different users, doing minor changes for a variety of reasons. Examples include road and terrain data. Today, the normal solution is to ignore these small changes and perform new expensive surveys at the start of each major new project. We will demonstrate solutions using linked data technology with Info Containers for Data Drop (ICDD). An international standardization initiative is now developed based on good national examples from Finland, Germany, and the Netherlands.

A third area is the combination of GIS and BIM data for large housing and infrastructure projects. Working with both BIM and GIS data can be a challenge, due to the differing nature and purpose of the technologies. We will demonstrate a solution based on the FME platform and semantic web technology that we developed within the European R&D project, V-Con. After the project was concluded, the national road authorities are evaluating and preparing for the next steps.

New solutions are needed to assist machine learning and data handling when GIS and geodata needs to be combined with BIM data for the challenges of tomorrow. Linked data, graph databases, and semantic web technologies are promising solutions to problems related to future applications such as autonomous vehicles or combined outdoors / indoors navigation.

Why Linked data is a solution also for GIS and geodata
Bengt Paulsson
Sweco Position