## 3 Proposed Approach
Data storage: The Semantic Web is an extension of the Web through standards by the W3C. The standards promote common data formats and exchange protocols on the Web, most fundamentally the RDF. This has led to a considerable increase of RDF data on the web. Consequently, a set of techniques have been proposed for storing RDF data. Different works have previously studied the RDF data storage in an efficient way [36; 37] allowing inference, update, scalability, distribution, or SPARQL endpoint. In addition, datasets can be enriched by means of external links in order to add information related to the context. In general, the connection process to external repositories consists of two stages: (i) automatic parsing of source information in order to unveil possible links to external sources; (ii) manual validation of the candidate links carried out by experts in data curation. Figure 1: Framework proposal to publish a dataset. In this stage, different tools (See, for example, [[https://tools.wmflabs.org/mix-n-match/](https://tools.wmflabs.org/mix-n-match/)]([https://tools.wmflabs.org/mix-n-match/](https://tools.wmflabs.org/mix-n-match/)) (visited on 4 February 2019)) can be used to facilitate data curation. The selected links will be defined through the _owl:sameAs_ relationship. Nowadays, we can mention different representative repositories used as external source data: (1) GeoNames is a geographical database available and accessible through various web services; it allows the linking of source textual information to geographical locations and currently is one of the most used external repositories [38]. (2) DBpedia is a project aiming to extract structured content from the information created in various Wikimedia projects; it is a Knowledge Graph which stores knowledge in a machine-readable format. (3) Wikidata is a collaboratively edited knowledge base hosted by the Wikimedia Foundation and is also a Knowledge Graph; it is a document-oriented database, focused on items, which represent topics, concepts, or objects. (4) Many institutions rely on VIAF ([[http://viaf.org/](http://viaf.org/)]([http://viaf.org/](http://viaf.org/)) (visited on 4 February 2019)) to connect authority data. The tools to validate and check data integrity help to enhance its correctness and consistency. For example, constraints provide one method of implementing business rules. Other tools are based on test driven data-debugging frameworks that can run automatically generated (based on a schema) and manually generated test cases against an SPARQL endpoint [39]. 4. Data exploitation: The publication of data as LOD allows data reuse. The use of standard vocabularies based on RDF enhances the interoperability, the reuse and the exploitation by other institutions. SPARQL endpoints not only facilitate the access to the data, but also enable federated queries run on other SPARQL endpoints. Linked data also enhance the inference of new knowledge by discovering new relationships and automatically analyzing the content of the data, such as identifying possible inconsistencies [40]. Many experiments have been conducted regarding this area [41; 42]. In general, inference takes into account the transitivity of predicates such as _rdfs:subClassOf_ and _rdfs:subPropertyOf_.