Community

At SANSA-Stack, there are many ways to get help or contribute to the project. The @SANSA-Stack google group forum is the primary channel where all SANSA committers are present. You are also welcome to address issues in our official SANSA-Stack repo.

GitHub Project Page

SANSA-Stack-21

Contributing to SANSA

Check out a dedicated guideline on how to contribute to SANSA.

Publications

How to cite: The reference publication is “Distributed Semantic Analytics using the SANSA Stack” published at ISWC 2017. Please use this when referring to SANSA as a whole and others for individual aspects of SANSA.

  1. 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 in Proceedings of 16th International Semantic Web Conference – Resources Track (ISWC’2017), 2017 [BibTex].
  2. The Tale of Sansa Spark by Ivan Ermilov, Jens Lehmann, Gezim Sejdiu, Lorenz Bühmann, Patrick Westphal, Claus Stadler, Simon Bin, Nilesh Chakraborty, Henning Petzka, Muhammad Saleem, Axel-Cyrille Ngomo Ngonga, and Hajira Jabeen in Proceedings of 16th International Semantic Web Conference, Poster & Demos, 2017 [BibTex].
  3. DistLODStats: Distributed Computation of RDF Dataset Statistics by Gezim Sejdiu, Ivan Ermilov, Jens Lehmann, and Mohamed Nadjib-Mami in Proceedings of 17th International Semantic Web Conference, 2018. [BibTex] 
  4. STATisfy Me: What are my Stats?. Gezim Sejdiu; Ivan Ermilov; Jens Lehmann; and Mohamed-Nadjib Mami. In Proceedings of 17th International Semantic Web Conference, Poster & Demos, 2018.
  5. Profiting from Kitties on Ethereum: Leveraging Blockchain RDF with SANSA by Damien Graux; Gezim Sejdiu; Hajira Jabeen; Jens Lehmann; Danning Sui; Dominik Muhs; and Johannes Pfeffer. In 14th International Conference on Semantic Systems, Poster & Demos, 2018.
  6. SPIRIT: A Semantic Transparency and Compliance Stack” by Patrick Westphal, Javier Fernández, Sabrina Kirrane and Jens Lehmann. In 14th International Conference on Semantic Systems, Poster & Demos, 2018.
  7. Divided we stand out! Forging Cohorts fOr Numeric Outlier Detection in large scale knowledge graphs (CONOD) by Hajira Jabeen; Rajjat Dadwal; Gezim Sejdiu; and Jens Lehmann. In 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW’2018), 2018.
  8. Clustering Pipelines of large RDF POI Data. Rajjat Dadwal; Damien Graux; Gezim Sejdiu; Hajira Jabeen; and Jens Lehmann. In Proceedings of 16th Extended Semantic Web Conference (ESWC 2019), Poster & Demos, 2019.
  9. Sparklify: A Scalable Software Component for Efficient evaluation of SPARQL queries over distributed RDF datasets. Claus Stadler; Gezim Sejdiu; Damien Graux; and Jens Lehmann. In Proceedings of 18th International Semantic Web Conference, 2019.
  10. Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources by Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, Jens Lehmann. In Proceedings of 18th International Semantic Web Conference, 2019.
  11. A Scalable Framework for Quality Assessment of RDF Datasets. Gezim Sejdiu; Anisa Rula; Jens Lehmann; and Hajira Jabeen. In Proceedings of 18th International Semantic Web Conference, 2019.
  12. Towards A Scalable Semantic-based Distributed Approach for SPARQL query evaluation. Gezim Sejdiu Damien Graux Imran Khan Ioanna Lytra Hajira Jabeen; and Jens Lehmann. In 15th International Conference on Semantic Systems (SEMANTiCS), 2019.
  13. Querying large-scale RDF datasets using the SANSA framework. Claus Stadler; Gezim Sejdiu; Damien Graux; and Jens Lehmann. In Proceedings of 18th International Semantic Web Conference (ISWC), Poster & Demos, 2019.
  14. The Hubs and Authorities Transaction NetworkAnalysis using the SANSA framework. Danning Sui; Gezim Sejdiu; Damien Graux; and Jens Lehmann. In 15th International Conference on Semantic Systems (SEMANTiCS), Poster & Demos, 2019.
  15. A Distributed Approach for Parsing Large-Scale OWL Datasets, by Heba Allah, Said Fathalla, Jens Lehmann, and Hajira Jabeen, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD), 2020
  16. Uniform Access to Multiform Data Lakes using Semantic  Technologies,by Mohammed N Mami, Damien Graux, Simon Scerri, Soeren Auer, Hajira Jabeen and Jens Lehmann, International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2019
  17. DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data by Hajira Jabeen, Eskender Hazeiv, Gezim Sejdiu and Jens Lehmann, IEEE International Conference on Semantic Computing, 2020
  18. OWLStats: Distributed Computation of OWL Dataset Statistics by Heba Allah, Said Fathalla, Jens Lehmann, and Hajira Jabeen, IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020
  19. DistSim – Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs, by Carsten Drachner, Jens Lehmann, and Hajira Jabeen, IEEE International Conference on Semantic Computing (IEEE ICSC), 2021
  20. Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor, by Farshad B Moghadam, Carsten Drachner, Hajira Jabeen, Jens Lehmann, International Conference on Semantic Systems, (SEMANTiCS) 2021
  21. Semantic Analytics in the Palm of your Browser, by Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen, LAMBDA-2021: LAMBDA Doctoral Workshop 2021
  22. Semantic Web Analysis with Flavor of Micro-Services, by Farshad Bakhshandegan Moghaddam, Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen, LAMBDA-2021: LAMBDA Doctoral Workshop 2021
  23. A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets, by Heba Mohamed, Said Fathalla, Jens Lehmann, and Hajira Jabeen. KEOD 2021 – 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pp. 51-60, 2021.
  24. DistRDF2ML: Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs, by Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen, Proceedings of the 30th ACM International Conference on Information & Knowledge Management (ACM CIKM) 2021
  25. Efficient Computation of Comprehensive Statistical Information of Large-scale OWL Dataset: A Scalable Approach, by Heba Mohamed, Said Fathalla, Jens Lehmann, and Hajira Jabeen. Enterprise Information Systems, pp. 1-21, 2022
  26. DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs, by, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen, IEEE International Conference on Semantic Computing (IEEE ICSC), 2022

Talks

  1. “Distributed Semantic Analytics using the SANSA Stack” talk by Prof. Dr. Jens Lehmann at ISWC2017.

Mailing Lists

Please subscribe to our discussion @SANSA-Stack.

Active Developers

Contact

In general, please use the discussion @SANSA-Stack for asking questions about SANSA. The developers are subscribed to this forum and will answer your questions as soon as possible.