CFP: Workshop on Large Scale RDF Analytics (LASCAR-20) at ESWC'20
** We apologize for cross-postings. We appreciate your great help in forwarding this CFP to your colleagues and friends. ** Call for *Papers & Posters* for the 2nd Workshop on Large Scale RDF Analytics (LASCAR-20), collocated with the Extended Semantic Web Conference (ESWC) 2020 Venue & Dates: Heraklion, Crete, Greece, May 31st, 2020 Workshop Website:http://lascar.sda.tech [Topics of interest] LASCAR-20 seeks original articles and posters describing theoretical and practical methods as well as techniques for performing scalable analytics on knowledge graphs. All papers must be original and not simultaneously submitted to another journal or conference. The following paper and poster categories are welcome: * Decentralized KG data management including parsing, compression, partitioning and smart indexing * Large scale KG enrichment using link prediction, entity resolution, entity disambiguation or similarity estimation * Machine Learning e.g. clustering, blocking, or anomaly detection * Complex analytics with distributed KG embeddings * Connecting property Graphs with RDF and reasoning * Use-cases presenting semantic technologies at industry scale [Important Dates] Electronic submission of full papers: March 14th, 2020 Notification of paper acceptance: March 27th, 2020 Camera-ready of accepted papers:April 10th, 2020 Workshop day: May 31st, 2020 [Submission Guidelines] All papers should be formatted according to the standard LNCS Style. All papers will be peer reviewed using the single-blind approach. Authors of the accepted papers will be asked to register for the workshop and will have the opportunity to present and participate in the workshop. Long papers should not be longer than 10 pages including the references, and short papers should not exceed 6 pages, including all references. The accepted papers will be published online in CEUR Workshop Proceedings (CEUR-WS.org). Proceedings will be available for download after the conference. The pre-print will be made available during the conference. The authors of the accepted posters will be invited to present their posters at the workshop. Please submit your work via EasyChair (https://www.easychair.org/conferences/?conf=lascar20) Dr. Hajira Jabeen Senior researcher, SDA, Universität Bonn. http://sda.cs.uni-bonn.de/people/dr-hajira-jabeen/ hajirajabeen.github.io/ <http://sda.cs.uni-bonn.de/people/dr-hajira-jabeen/>
CfP: Workshop on Large Scale RDF Analytics (LASCAR-20) at ESWC'20
We apologize for cross-postings. We appreciate your great help in forwarding this CFP to your colleagues and friends. Call for Papers & Posters for the 2nd Workshop on Large Scale RDF Analytics (LASCAR-20), collocated with the Extended Semantic Web Conference (ESWC) 2020 Venue & Dates: Heraklion, Crete, Greece, May 31st, 2020 Workshop Website:http://lascar.sda.tech [Topics of interest] LASCAR-20 seeks original articles and posters describing theoretical and practical methods as well as techniques for performing scalable analytics on knowledge graphs. All papers must be original and not simultaneously submitted to another journal or conference. The following paper and poster categories are welcome: * Decentralized KG data management including parsing, compression, partitioning and smart indexing * Large scale KG enrichment using link prediction, entity resolution, entity disambiguation or similarity estimation * Machine Learning e.g. clustering, blocking, or anomaly detection * Complex analytics with distributed KG embeddings * Connecting property Graphs with RDF and reasoning * Use-cases presenting semantic technologies at industry scale [Important Dates] Electronic submission of full papers: February 28th, 2020 Notification of paper acceptance: March 27th, 2020 Camera-ready of accepted papers:April 10th, 2020 Workshop day: May 31st, 2020 [Submission Guidelines] All papers should be formatted according to the standard LNCS Style. All papers will be peer reviewed using the single-blind approach. Authors of the accepted papers will be asked to register for the workshop and will have the opportunity to present and participate in the workshop. Long papers should not be longer than 10 pages including the references, and short papers should not exceed 6 pages, including all references. The accepted papers will be published online in CEUR Workshop Proceedings (CEUR-WS.org). Proceedings will be available for download after the conference. The pre-print will be made available during the conference. The authors of the accepted posters will be invited to present their posters at the workshop. Please submit your work via EasyChair (https://www.easychair.org/conferences/?conf=lascar20) Dr. Hajira Jabeen Senior researcher, SDA, Universität Bonn. http://sda.cs.uni-bonn.de/people/dr-hajira-jabeen/
SANSA 0.7.1 (Scalable Semantic Analytics Stack) Released
Dear all, The Smart Data Analytics group (http://sda.tech) is happy to announce SANSA 0.7.1 - the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Apache Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Website: http://sansa-stack.net GitHub: https://github.com/SANSA-Stack Download: https://github.com/SANSA-Stack/SANSA-Stack/releases In the latest release, we have included support for Query-engine over compressed RDF data, added more data quality assessment methods as well as new clustering approaches. You can find the FAQ and usage examples at http://sansa-stack.net/faq/. View this announcement on Twitter and the SANSA blog: http://sansa-stack.net/sansa-0-7/ https://twitter.com/SANSA_Stack/status/1217772649293795328 Kind regards, The SANSA Development Team (http://sansa-stack.net/community/#Contributors) Dr Hajira Jabeen Senior researcher, SDA, Universität Bonn. http://sda.cs.uni-bonn.de/people/dr-hajira-jabeen/
Mutable objects in Flink ?
Hi all, I am writing an evolutionary computing application with Flink. Each object is a particle with multidimensional velocity , position, and fitness. I create a population ( Array) of these objects and want to update positions and velocities of all particles in parallel. I can create the population as a data set. Apparently, I can also apply Move () , Update() as Map functions . But in actual the values( positions, velocities, fitness) are not updated . Any comments ? Regards Hajira
