HTML5 based Facet Browser for SPARQL Endpoints
Date Issued
2014-04
Author(s)
Janevska, Martina
Jovanovik, Milosh
Abstract
The Linked Data concept uses a collection of Semantic
Web technologies in order to interconnect, publish, and share
pieces of data on the Web, in a machine-readable format. It
enables querying and combining data from different datasets
together in order to retrieve specific information and enable usecase scenarios which are unavailable over isolated datasets.
However, the process of querying linked data published on
different places on the Web poses several challenges. Generally,
each user should know the schema of the data, write a query and
access a relevant linked data endpoint. According to statistics,
endpoints are often unavailable and have significant downtime,
so this presents a serious obstacle in application development and
scenarios which rely on the data. In this paper, we present a facet
browser for SPARQL endpoints, based on HTML5. It allows
users to search and retrieve RDF triples based on a keyword,
from public SPARQL endpoints. By using HTML5 Web Storage,
the triples from the results can be saved in the browser, locally,
for future use. The facet browser provides management
functionalities over the stored data - capabilities to update,
refresh, modify, delete and download the triples in various RDF
formats: JSON-LD, Turtle, NTriples, RDF/XML, JSON, CSV.
The locally stored RDF triples can also be shared with other
users. We believe that these features of the facet browser will
help overcome the endpoint downtime issues, by providing offline
data accessibility for the user and his applications.
Web technologies in order to interconnect, publish, and share
pieces of data on the Web, in a machine-readable format. It
enables querying and combining data from different datasets
together in order to retrieve specific information and enable usecase scenarios which are unavailable over isolated datasets.
However, the process of querying linked data published on
different places on the Web poses several challenges. Generally,
each user should know the schema of the data, write a query and
access a relevant linked data endpoint. According to statistics,
endpoints are often unavailable and have significant downtime,
so this presents a serious obstacle in application development and
scenarios which rely on the data. In this paper, we present a facet
browser for SPARQL endpoints, based on HTML5. It allows
users to search and retrieve RDF triples based on a keyword,
from public SPARQL endpoints. By using HTML5 Web Storage,
the triples from the results can be saved in the browser, locally,
for future use. The facet browser provides management
functionalities over the stored data - capabilities to update,
refresh, modify, delete and download the triples in various RDF
formats: JSON-LD, Turtle, NTriples, RDF/XML, JSON, CSV.
The locally stored RDF triples can also be shared with other
users. We believe that these features of the facet browser will
help overcome the endpoint downtime issues, by providing offline
data accessibility for the user and his applications.
Subjects
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