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DRETa: extracting RDF from wikitables
(CEUR-WS.org, 2013)
Tables are widely used in Wikipedia articles to display relational information - they are inherently concise and information rich. However, aside from info-boxe s, there are no automatic methods to exploit the integrated ...
Semantically Interlinked Notification System for Ubiquitous Presence Management
(Springer, 2013)
Presence based notification systems play a pivotal role in any collaborative working environment by providing near real time information about the status, locality and presence of the collaborators. Instant Messaging (IM) ...
Querying over Federated SPARQL Endpoints - A State of the Art Survey
(2013)
The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by ...
Big linked cancer data: Integrating linked TCGA and PubMed
(Elsevier, 2014-07-07)
The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
Update Semantics for Interoperability among XML, RDF and RDB - A Case Study of Semantic Presence in CISCO's Unified Presence Systems
(Springer, 2013)
XSPARQL is a transformation and querying language that provides an integrated access over heterogeneous data sources on the fly. It is an extension of XQuery which supports a subset of SPARQL and SQL to provide unified ...
TopFed: TCGA tailored federated query processing and linking to LOD
(BioMed Central, 2014-12-03)
Backgroud: The Cancer Genome Atlas (TCGA) is a multidisciplinary, multi-institutional effort to catalogue genetic mutations responsible for cancer using genome analysis techniques. One of the aims of this project is to ...
Big linked cancer data: Integrating linked TCGA and PubMed
(Elsevier ScienceDirect, 2014-07-16)
The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...







