Public spending as LOD: the case of Greece

Tracking #: 561-1767

Michalis Vafopoulos
Marios Meimaris
Ioannis Anagnostopoulos
Agis Papantoniou
Ioannis Xidias
Giorgos Alexiou
Giorgos Vafeiadis
Michalis Klonaras
Vasilis Loumos

Responsible editor: 
Jens Lehmann

Submission type: 
Dataset Description
The PSGR project is the first attempt to generate, curate, interlink and distribute daily updated public spending data in LOD formats that can be useful to both expert (i.e. scientists and professionals) and naïve users. The PSGR ontology is based on the UK payments ontology and reuses, among others, the W3C Registered Organization Vocabulary and the Core Business Vocabulary. RDFized data are linked to product classifications, Geonames and DBpedia resources. Online services contain advanced search features and domain level information (e.g. local government), simple and complex visualizations based on network analysis, linked information about payment entities and SPARQL endpoints. During February 2013, the growing dataset consists of approximately 2 million payment decisions valued 44.5 billion euros forming 65 million triples.
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Solicited Reviews:
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Review #1
By Prateek Jain submitted on 02/Dec/2013
Review Comment:

This review is for the revised version of the work "Public spending as LOD: the case of Greece".
The newer version of the work seems to have addressed most of my comments related to the original version. The work can be accepted for publication in the journal.

Review #2
By Danh Le Phuoc submitted on 16/Dec/2013
Minor Revision
Review Comment:

The revised version addressed the main concern of the reviewer with a clearer section 5 and 6. However other sections remain exactly the same. There are some minor changes I would suggest to improve the paper :

The author combined section 1 and section 2 of previous version into section 1 of this version by adding the content in the end of previous section 1 which I think it's a bit strange to read. It might be a good idea to move this content to right after the first paragraph.
Section 3 and section 4 can be combined as they are about the use of the dataset. It's still not clear how the functionalities such as visualisation, search, aggregation, etc can be supported by linked data/semantic web technologies. How it is relevant with Linked Data? It will be read nicer if they come with screenshots of such functionalities.