Dr. Mohamed Ahmed Sherif

Dr. Mohamed Ahmed Sherif
Depiction of Dr. Mohamed Ahmed Sherif
Address Work
Goerdelerring 9, Room P905, 04109 Leipzig
Email Office
Phone Work
+49-341-97-32260
Fax Work
+49-341-229037-99

@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

  • AgriNepalDataOntology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal
  • 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
  • SAGESemantic Geospatial Analytics
  • 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

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News

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"