Dr. Michael Martin

Dr. Michael Martin
Depiction of Dr. Michael Martin
Address Work
Augustusplatz 10, Room A116, 04109 Leipzig
Email Office
Phone Work
+49-341-97-32322
Fax Work
+49-341-97-32329

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Dr. Michael Martin is a postdoctoral researcher at the University of Leipzig and heads the research group Emergent Semantics, which is part of the AKSW network. His research interests include Engineering of Web Applications using Semantic Web Technologies, Data Science and Management of Linked (Open) Data and Open Data. Michael is currently involved in several research projects, such as LEDS - Linked Enterprise Data Services (funded by the German Federal Ministry of Education and Research - BmBF) and the EU funded project SlideWiki. In the past years, he was amongst others involved in the multi-national Research and Software development projects LOD2, LATC, LE4SW, OntoWiki, CubeViz and the Open Data Portal as well as the Digital Agenda Scoreboard of the European Commission. Furthermore, he has (co-)authored more than 40 peer-reviewed publications at international journals, conferences and workshops and holds lectures as well as seminars at the University of Leipzig in the research areas E-Business, Software Engineering and Software Management.

Current Projects

  • 5. Leipziger Semantic Web Tag (LSWT2013)Von Big Data zu Smart Data
  • CSVImportRepresenting multi-dimensional statistical data as RDF using the RDF Data Cube Vocabulary
  • CubeVizThe RDF DataCube Browser.
  • ErfurtPHP5 / Zend based Semantic Web API for Social Semantic Software
  • FTSRDF Version of the Financial Transparency System of the European Commission
  • GeoKnowMaking the Web an Exploratory for Geospatial Knowledge
  • LEDSLinked Enterprise Data Services
  • LODStatsa statement-stream-based approach for gathering comprehensive statistics about RDF datasets
  • OntoWikia tool providing support for agile, distributed knowledge engineering scenarios
  • Query CacheAdaptive SPARQL Query Cache
  • ReDD-ObservatoryUsing the Web of Data for Evaluating the Research-Disease Disparity
  • SlideWiki.euLarge-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics.
  • SparqlAnalyticsI Know What You Did Last Query

Past Projects

  • Digital Agenda ScoreboardA Statistical Anatomy of Europe's way into the Information Age
  • LATCLOD Around-the-Clock
  • LE4SWRegional Technology Platform of Social Semantic Collaboration
  • OntoWiki.euSocial Semantic Collaboration for EKM, E-Learning & E-Tourism

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News

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"