On Monday, November 11 at 1.30 – 2.15 pm in Room P-702 (Paulinum), Muhammad Saleem will present the ISWC Big Data Track Challenge winning paper “Fostering Serendipity through Big Linked Data” and “DAW: Duplicate-AWare Federated Query Processing over the Web of Data”. As always, Bachelor and Master students are able to get points for attendance and there will be complimentary coffee and Berliners after the session.
“Fostering Serendipity through Big Linked Data” and “DAW” by Muhammad Saleem (30 minutes + question time)
Muhammad Saleem completed his bachelor in Computer Software Engineering from N-W.F.P University of Engineering and Technology and Master in Computer Science and Engineering from Hanyang University, South Korea. Currently, he is working as a PhD student at Agile Knowledge Engineering and Semantic Web (AKSW) University of Leipzig, Germany. His research interests includes federated SPARQL query processing over Linked Data, knowledge extraction and database management.
He will give a brief talk about two papers 1) DAW: Duplicate-AWare Federated Query Processing over the Web of Data 2) Fostering Serendipity through Big Linked Data presented at ISWC2013. DAW is a duplicate-aware approach to SPARQL federated query processing to achieve the same recall while querying fewer number of sources. It can be used in combination with any federated SPARQL query engine to optimize the number of sources it selects, thus reducing the overall network traffic as well as the query execution time of existing engines. While the second paper aim to foster serendipity using Big Data triplification, its continuous integration, and visualization. As a proof of concept, the integration, visualization of the constant flow of bio-medical publications with the 7.36 billion large Linked Cancer Genome Atlas (TCGA) dataset is shown in the paper.
