Name
Abstract | ||
|---|---|---|
A large amount of data available over the Web and, in particular, the open data have, generally, heterogeneous formats and are not machine-readable. One promising solution to overcome the problems of heterogeneity and automatic interpretation is the Linked Data initiative, which aims to provide unified practices for publishing and contextually to link data on the Web, by using World Wide Web Consortium standards and the Semantic Web technologies. LinkedIn data promote the Web's transformation from a web of documents to a web of data, ensuring that machines and software agents can interpret the semantics of data correctly and therefore infer new facts and return relevant web data search results. This paper presents an automatic generic transformation approach that manipulates several input formats of open web data to linked open data. This work aims to participate actively in the movement of publishing data compliant with linked data principles. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.13052/jwe1540-9589.2052 | JOURNAL OF WEB ENGINEERING |
Keywords | DocType | Volume |
Web data, open data, linked data, semantic web, transformation approaches | Journal | 20 |
Issue | ISSN | Citations |
5 | 1540-9589 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amina Meherehera | 1 | 0 | 0.34 |
| Imane Mekideche | 2 | 0 | 0.34 |
| Leila Zemmouchi-Ghomari | 3 | 7 | 3.90 |
| Abdessamed Réda Ghomari | 4 | 6 | 3.51 |