Transparent Mobile Querying of Online RDF Sources Using Semantic Indexing and Caching [chapter]

William Van Woensel, Sven Casteleyn, Elien Paret, Olga De Troyer
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Due to advancements in mobile technology and connectivity, mobile devices have become fully-fledged web clients. At the same time, more and more Semantic Web data is becoming available, to a point where it becomes usable for various mobile application scenarios. However, most applications are limited to using pre-defined query endpoints in order to access Semantic Web data, which leaves a huge part of the Semantic Web, consisting of online RDF files and semantically annotated websites,
more &raquo; ... ble. In this paper, we present a mobile query service for the efficient and transparent querying of large amounts of small online RDF sources. In order to achieve this, the query service relies on two key components: 1/ a lightweight semantics-based indexing scheme, to identify sources relevant to posed queries, and 2/ a caching mechanism that locally stores frequently-used data. 1
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24434-6_14">doi:10.1007/978-3-642-24434-6_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l73tnvgjx5e35btmlomxtutv74">fatcat:l73tnvgjx5e35btmlomxtutv74</a> </span>
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