Smart lookup & inference for Semantic Data
Knowledge mapping within a postgresql database
Semantic knowledge representations have not evolved since the Semantic Web was proposed during the 1990s. Modern graph databases offer new possibilities for knowledge representation, but the methods are poorly developed and require the use of specialized query languages and clumsy outdated formats. This project aims to make semantic maps easy for general use, using standard SQL databases and modern lightweight data formats. A user workflow starts from a simple note-taking language, then ingesting into a database using a graph model based on the causal semantic spacetime model, to the use of a simple web application for supporting graph searches and data presentation. The aim is to make a generally useful library for incorporating into other applications, or running as a standalone notebook service.
- The project's own website: http://markburgess.org/spacetime.html
Run by ChiTek-i
This project was funded through the NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101135429. Additional funding is made available by the Swiss State Secretariat for Education, Research and Innovation (SERI).
