Dr. Mohamed Ahmed Sherif

Dr. Mohamed Ahmed Sherif
Depiction of Dr. Mohamed Ahmed Sherif
Address Work
Augustusplatz 10, Room P905, 04109 Leipzig
Email Office
Phone Work
+49-341-97-32260
Fax Work
+49-341-97-32329

@DBLP @GitHub @Google Scholar @Google+

Mohamed Ahmed Sherif is a postdoctoral researcher at the Agile Knowledge Engineering and Semantic Web research group at University of Leipzig. In 2016, he finished his doctorate with at the University of Leipzig under the title "Automating Geospatial RDF Dataset Integration and Enrichment". Mohamed's main research fields are machine learning, link discovery specially for geospatial data, semantic web data integration and enrichment. Mohamed developed number of algorithms for link specification learning, data repair, load balancing and spatial/temporal relation discovery. Currently, Mohamed is leading the EU research project SLIPO and partake in many other projects such as HOBBIT, GEISER, SAKE and LinkingLOD2. Also, he is the main developer of the DEER framework and one of the main developers of the LIMES framework.

Current Projects

  • DEERRDF Data Extraction and Enrichment Framework
  • DIESELDistributed Search in Large Enterprise Data
  • GEISERVon Sensordaten zu internetbasierten Geo-Services
  • HOBBITHolistic Benchmarking of Big Linked Data
  • LIMESLInk discovery framework for MEtric Spaces
  • LinkedGeoDataadds a spatial dimension to the Web of Data
  • LinkedIdiomsA Multilingual Linked Idioms Data Set
  • LinkingLODinterlinking knowledge bases
  • SAKEWith RDF and Machine Learning Getting Results Faster
  • SLIPOScalable Linking and Integration of Big POI data

Past Projects

  • 5. Leipziger Semantic Web Tag (LSWT2013)Von Big Data zu Smart Data
  • ART-e-FACTMedia continuity artefact management
  • DBpediaDQUser-driven quality evaluation of DBpedia
  • GeoKnowMaking the Web an Exploratory for Geospatial Knowledge
  • GeoLiftSpatial mapping framework for enriching RDF datasets with Geo-spatial information
  • GHOPublishing and Interlinking the Global Health Observatory Dataset
  • NIF4OGGDNatural Language Interchange Format for Open German Governmental Data
  • SemanticQurana Multilingual Resource for Natural-Language Processing
  • Sparqlifya SPARQL-SQL rewriter
  • SparqlMapis a SPARQL-to-SQL rewriter
  • TripleCheckMateCrowdsourcing the evaluation of Linked Data

Publications

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News

The USPTO Linked Patent Dataset release ( 2017-02-24T17:18:51+01:00 by Mofeed Hassan)

2017-02-24T17:18:51+01:00 by Mofeed Hassan

Dear all, We are happy to announce USPTO Linked Patent Dataset release. Patents are widely used to protect intellectual property and a measure of innovation output. Read more about "The USPTO Linked Patent Dataset release"

Two accepted papers in ESWC 2017 ( 2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif)

2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif

Hello Community! We are very pleased to announce the acceptance of two papers in ESWC 2017 research track. The ESWC 2017 is to be held in Portoroz, Slovenia from 28th of May to the 1st of June. Read more about "Two accepted papers in ESWC 2017"

AKSW Colloquium, 13th February, 3pm, Evaluating Entity Linking ( 2017-02-09T15:53:07+01:00 Michael Roeder)

2017-02-09T15:53:07+01:00 Michael Roeder

On the 13th of February at 3 PM, Michael Röder will present the two papers “Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job” of van Erp et al. Read more about "AKSW Colloquium, 13th February, 3pm, Evaluating Entity Linking"

SLIPO project kick-off meeting ( 2017-02-03T12:59:48+01:00 by Sandra Bartsch)

2017-02-03T12:59:48+01:00 by Sandra Bartsch

SLIPO, a new InfAI project kicked-off between the 18th and 20th of January in Athens, Greece. Funded by the EU-program “Horizon 2020”, the project is planned to have an operational time until the 31st of December 2019. Read more about "SLIPO project kick-off meeting"

AKSW Colloquium 30.Jan.2017 ( 2017-01-30T13:24:04+01:00 by Simon Bin)

2017-01-30T13:24:04+01:00 by Simon Bin

In the upcoming Colloquium, Simon Bin will discuss the paper “Towards Analytics Aware Ontology Based Access to Static and Streaming Data” by Evgeny Kharlamov et.al. that has been presented at ISWC2017. Read more about "AKSW Colloquium 30.Jan.2017"