Mehwish Alam

Post Doctoral Researcher

mehwish

STLabers say about her

Nobody can stop Mehwish when she works! She always starts and ends what she has to do, with a focused look and a beaming smile.

Mehwish Alam is a Post-Doctoral Researcher at Consiglio Nazionale delle Ricerche (CNR)  and she is currently working between CNR Rome and University of Bologna, Bologna, Italy. The focus of her research is to use Data Mining methods for Semantic Web and Text processing. Recently she was a Post Doctotal Researcher in Laboratoire d’Informatique de Paris-Nord (LIPN). Before her Post-Doc, she was PhD student in the field of Computer Science (2011-2015) in LORIA, INRIA, Nancy Grand-Est, France. Her PhD thesis is supervised by Amedeo Napoli and Malika-Smail Tabbone. Her research interests include the amulgumation of Semantic Web and Data Mining which focus on the question that how semantic web can benefit from data mining and vice versa. Before she started her PhD, she completed her prestigious Erasmus Mundus Research Masters in Language Communication and Technology in the discipline of Natural Language Processing. She completed her Masters in collaboration with University of Groningen, Groningen, the Netherlands and University of Nancy 2, Nancy, France. Her publications are accessible on DBLP [1] and Google Scholar [2].

 

[1] http://dblp.uni-trier.de/pers/hd/a/Alam:Mehwish

[2] https://scholar.google.fr/citations?user=11qHPf0AAAAJ&hl=en

Publications

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  • [21]
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    Bridging DBpedia Categories and DL-Concept Definitions Using Formal Concept Analysis, , , , , In Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015, co-located with the International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015., .
  • [22]
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    Mining Definitions from RDF Annotations Using Formal Concept Analysis, , , , , In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, .
  • [23]
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    Defining Views with Formal Concept Analysis for Understanding SPARQL Query Results, , , In Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications, Košice, Slovakia, October 7-10, 2014., .
  • [24]
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    Lattice-Based Views over SPARQL Query Results, , , In Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, September 19th, 2014., .
  • [25]
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    A Study on the Correspondence between FCA and ELI Ontologies, , , , In Proceedings of the Tenth International Conference on Concept Lattices and Their Applications, La Rochelle, France, October 15-18, 2013., .
  • [26]
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    Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology, , , , , , In Proceedings of the International Workshop on Data Mining on Linked Data, with Linked Data Mining Challenge collocated with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013), Prague, Czech Republic, September 23, 2013., .
  • [27]
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    Formal Concept Analysis Applied to Transcriptomic Data, , , , , In Proceedings of The Ninth International Conference on Concept Lattices and Their Applications, Fuengirola (Málaga), Spain, October 11-14, 2012, .
  • [28]
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    Formal Concept Analysis Applied to Transcriptomic Data, , , , , In Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI@ECAI 2012, Montpellier, France, August 28, 2012, .
  • [29]
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    PDTB XML: the XMLization of the Penn Discourse TreeBank 2.0, , , , In Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010, 17-23 May 2010, Valletta, Malta, .
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    Projects

    HAPS

    Holistic Attack Prevention System