Student Assistant
Computer Science Institute
University of Bonn
Room A109
Römerstr. 164, 53117 Bonn
University of Bonn, Computer Science
nilesh@nileshc.com
Short CV
Nilesh Chakraborty is a Graduate Research Assistant at the Computer Science Department III of the University of Bonn.
Research Interests
- Big Data / Distributed Processing
- Machine Learning
- Named Entity Disambiguation, Knowledge Fusion
- Knowledge Graph Embeddings
Publications
2017
- J. Lehmann, G. Sejdiu, L. Bühmann, P. Westphal, C. Stadler, I. Ermilov, S. Bin, N. Chakraborty, M. Saleem, A. N. Ngonga, and H. Jabeen, “Distributed Semantic Analytics using the SANSA Stack,” in Proceedings of 16th International Semantic Web Conference – Resources Track (ISWC’2017), 2017.
[BibTeX] [Abstract] [Download PDF]
Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.
@InProceedings{lehmann-2017-sansa-iswc, Title = {Distributed {S}emantic {A}nalytics using the {SANSA} {S}tack}, Author = {Lehmann, Jens and Sejdiu, Gezim and B\"uhmann, Lorenz and Westphal, Patrick and Stadler, Claus and Ermilov, Ivan and Bin, Simon and Chakraborty, Nilesh and Saleem, Muhammad and Ngonga, Axel-Cyrille Ngomo and Jabeen, Hajira}, Booktitle = {Proceedings of 16th International Semantic Web Conference - Resources Track (ISWC'2017)}, Year = {2017}, Abstract = {Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.}, Added-at = {2017-07-17T14:46:26.000+0200}, Biburl = {https://www.bibsonomy.org/bibtex/21ae18ac13750f9cf74227fe0a7c50104/aksw}, Interhash = {eb99dff0ce6a9cdbce2c4cbea115fbee}, Intrahash = {1ae18ac13750f9cf74227fe0a7c50104}, Keywords = {2017 bde sansa dsa lehmann sejdiu buehmann westphal stadler bin chakraborty group_aksw iermilov ngonga saleem jabeen}, Owner = {iermilov}, Timestamp = {2017-07-17T14:46:26.000+0200}, Url = {http://svn.aksw.org/papers/2017/ISWC_SANSA_SoftwareFramework/public.pdf} } - I. Ermilov, J. Lehmann, G. Sejdiu, L. Bühmann, P. Westphal, C. Stadler, S. Bin, N. Chakraborty, H. Petzka, M. Saleem, A. N. Ngonga, and H. Jabeen, “The Tale of Sansa Spark,” in Proceedings of 16th International Semantic Web Conference, Poster & Demos, 2017.
[BibTeX] [Download PDF]@InProceedings{iermilov-2017-sansa-iswc-demo, Title = {The {T}ale of {S}ansa {S}park}, Author = {Ermilov, Ivan and Lehmann, Jens and Sejdiu, Gezim and B\"uhmann, Lorenz and Westphal, Patrick and Stadler, Claus and Bin, Simon and Chakraborty, Nilesh and Petzka, Henning and Saleem, Muhammad and Ngonga, Axel-Cyrille Ngomo and Jabeen, Hajira}, Booktitle = {Proceedings of 16th International Semantic Web Conference, Poster \& Demos}, Year = {2017}, Added-at = {2017-08-31T16:24:45.000+0200}, Biburl = {https://www.bibsonomy.org/bibtex/2f9b5a69afa4755944984ae63f59ad146/aksw}, Interhash = {ebabfe08f697304b399c9b6b89f2829e}, Intrahash = {f9b5a69afa4755944984ae63f59ad146}, Keywords = {2017 bde sansa dsa buehmann chakraborty group_aksw iermilov lehmann mole ngonga saleem sbin sejdiu stadler westphal jabeen}, Owner = {iermilov}, Timestamp = {2017-08-31T16:24:45.000+0200}, Url = {http://jens-lehmann.org/files/2017/iswc_pd_sansa.pdf} }
2016
- M. Dojchinovski, F. Sasaki, T. Gornostaja, S. Hellmann, E. Mannens, F. Salliau, M. Osella, P. Ritchie, G. Stoitsis, K. Koidl, M. Ackermann, and N. Chakraborty, “FREME: Multilingual Semantic Enrichment with Linked Data and Language Technologies,” in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Paris, France, 23-28 2016.
[BibTeX] [Download PDF]@InProceedings{DOJCHINOVSKI16.578, Title = {FREME: Multilingual Semantic Enrichment with Linked Data and Language Technologies}, Author = {Milan Dojchinovski and Felix Sasaki and Tatjana Gornostaja and Sebastian Hellmann and Erik Mannens and Frank Salliau and Michele Osella and Phil Ritchie and Giannis Stoitsis and Kevin Koidl and Markus Ackermann and Nilesh Chakraborty}, Booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)}, Year = {2016}, Address = {Paris, France}, Editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, Month = {may}, Publisher = {European Language Resources Association (ELRA)}, Date = {23-28}, ISBN = {978-2-9517408-9-1}, Keywords = {dojchinovski freme hellmann ackermann kilt chakraborty group_aksw}, Language = {english}, Location = {Portoro{\v{z}}, Slovenia}, Url = {https://svn.aksw.org/papers/2016/LREC_FREME_Overview/public.pdf} }