Abstract
The Web has become a tremendously huge data source hidden under linked documents. A significant number of Web documents include HTML tables generated dynamically from relational databases. Often, there is no direct public access to the databases themselves. On the other hand, RDF (Resource Description Framework) gives an efficient mechanism to represent directly data on the Web based on a Web-scalable architecture for identification and interpretation of terms. This leads to the concept of Linked Data on the Web. To allow direct access to data on the Web as Linked Data, we propose in this paper an approach to transform HTML tables into RDF triples. It consists of three main phases: refining, pre-treatment and mapping. The whole process is assisted by a domain ontology and the WordNet lexical database. A tool called Htab2RDF has been implemented. Experiments have been carried out to evaluate and show efficiency of the proposed approach.
Keywords
MSC
68N99
Cite this article
@article{cai-2646,
author = {Djelloul Bouchiha and Mimoun Malki and Abdullah Alghamdi and Khalid Alnafjan},
title = {Htab2RDF: Mapping HTML Tables to RDF Triples},
journal = {Computing and Informatics},
volume = {36},
number = {6},
pages = {1467--1491},
year = {2017},
issn = {1335-9150},
doi = {10.4149/cai_2017_6_1467}
}
TY - JOUR AU - Djelloul Bouchiha AU - Mimoun Malki AU - Abdullah Alghamdi AU - Khalid Alnafjan TI - Htab2RDF: Mapping HTML Tables to RDF Triples JO - Computing and Informatics VL - 36 IS - 6 SP - 1467 EP - 1491 PY - 2017 SN - 1335-9150 DO - 10.4149/cai_2017_6_1467 UR - https://doi.org/10.4149/cai_2017_6_1467 KW - HTML tables KW - RDF KW - relational databases KW - Linked Data KW - domain ontology KW - WordNet ER -
Bouchiha, D., Malki, M., Alghamdi, A., & Alnafjan, K. (2017). Htab2RDF: Mapping HTML Tables to RDF Triples. Computing and Informatics, 36(6), 1467–1491. https://doi.org/10.4149/cai_2017_6_1467