We a
re very pleased to announce that AKSW will be presenting 2 papers at ISWC 2017, which will be held on 21-24 October in Vienna, Austria. The demo and workshops papers have to be announced.
The International Semantic Web Conference (ISWC) is the premier international forum where Semantic Web / Linked Data researchers, practitioners, and industry specialists come together to discuss, advance, and shape the future of semantic technologies on the web, within enterprises and in the context of the public institution.
Here is the list of the accepted paper with their abstract:
“Distributed Semantic Analytics using the SANSA Stack” by Jens Lehmann, Gezim Sejdiu, Lorenz Bühmann, Patrick Westphal, Claus Stadler, Ivan Ermilov, Simon Bin, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo and Hajira Jabeen.
Abstract:A major research challenge is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and reasoning. Analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases, and most analytics approaches which do scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input. This software framework paper describes the ongoing Semantic Analytics Stack (SANSA) project, which supports expressive and scalable semantic analytics by providing functionality for distributed computing on RDF data.
“Iguana : A Generic Framework for Benchmarking the Read-Write Performance of Triple Stores” by Felix Conrads, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Muhammad Saleem, and Mohamed Morsey.
Abstract :The performance of triples stores is crucial for applications which rely on RDF data. Several benchmarks have been proposed that assess the performance of triple stores. However, no integrated benchmark-independent execution framework for these benchmarks has been provided so far. We propose a novel SPARQL benchmark execution framework called IGUANA. Our framework complements benchmarks by providing an execution environment which can measure the performance of triple stores during data loading, data updates as well as under different loads. Moreover, it allows a uniform comparison of results on different benchmarks. We execute the FEASIBLE and DBPSB benchmarks using the IGUANA framework and measure the performance of popular triple stores under updates and parallel user requests. We compare our results with state-of-the-art benchmarking results and show that our benchmark execution framework can unveil new insights pertaining to the performance of triple stores.
Thank you and looking forward to see you at ISWC 2017.
Acknowledgments
These work were supported by the European Union’s H2020 research and innovation action HOBBIT (GA no. 688227), the European Union’s H2020 research and innovation program BigDataEurope (GA no.644564), German Ministry BMWI under the SAKE project (Grant No. 01MD15006E), WDAqua : Marie Skłodowska-Curie Innovative Training Network and Industrial Data Space.
