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arXiv · 1608.02761

SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines

Semih Yumusak·Erdogan Dogdu·Halife Kodaz·Andreas Kamilaris
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Abstract

In this study, a novel metacrawling method is proposed for discovering and monitoring linked data sources on the Web. We implemented the method in a prototype system, named SPARQL Endpoints Discovery (SpEnD). SpEnD starts with a "search keyword" discovery process for finding relevant keywords for the linked data domain and specifically SPARQL endpoints. Then, these search keywords are utilized to find linked data sources via popular search engines (Google, Bing, Yahoo, Yandex). By using this method, most of the currently listed SPARQL endpoints in existing endpoint repositories, as well as a significant number of new SPARQL endpoints, have been discovered. Finally, we have developed a new SPARQL endpoint crawler (SpEC) for crawling and link analysis.

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Semih Yumusak, Erdogan Dogdu, Halife Kodaz, Andreas Kamilaris. 2016-08-09. SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines. https://doi.org/10.1587/transinf.2016dap0025

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