Role of SPARQL in Leveraging Sematic Web Technology
Poornima G. Naik1, Kavita S. Oza2
1Poornima G. Naik, Professor in the Department of Computer Studies, CSIBER, Kolhapur.
2Kavita S. Oza, assistant professor at Department of Computer Science, Shivaji University, Kolhapur.
Manuscript received on Junuary 07, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on February 30, 2020. | PP: 26-30 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5161029320/2020©BEIESP | DOI: 10.35940/ijeat.C5161.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: : Semantic web is not just a matter of translation from HTML to RDF/OWL languages. It is a matter of understanding the content of the web through knowledge graphs. Entities need to be related with relationships. This content is composed of resources (web pages) that contain, for example, text, images and audio. Thus, there is the need of extracting entities from these resources. Currently, most of the web content is in HTML5 format which is a W3C recommendation which enables describing the structure marginally with the help of annotations. The main challenge here is to transform unstructured data from plain HTML files to structured data (e.g RDF or OWL). The current work provides the first hand information for dealing with unstructured heterogeneous data residing on web using Twinkle, a Java tool for SPARQL query execution on FOAF (Friend Of A Friend) document.
Keywords: Filter, FOAF , Twinkle, RDF, Projection, Ontology, SPARQL