Dr. Michael Martin

Dr. Michael Martin
Depiction of Dr. Michael Martin
Address Work
Goerdelerring 9, Room 101a, 04109 Leipzig
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Phone Work
+49-341-229037-51
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+49-341-229037-99

@DBLP @Facebook @github @Google+ @GoogleScholar @MSAcademicResearch @ResearchGate ORCID

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
  • 6. Leipziger Semantic Web Tag (LSWT2018)Linked Enterprise Data Services
  • 7. Leipziger Semantic Web Tag (LSWT2019)Linking Research and Enterprise
  • 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
  • LIMBOLinked Data Services for Mobility
  • 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
  • SlideWikirevolutionise how educational materials can be authored, shared and reused
  • 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
  • LEDSLinked Enterprise Data Services
  • OntoWiki.euSocial Semantic Collaboration for EKM, E-Learning & E-Tourism

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News

Assessing Language Identification Over DBpedia ( 2021-05-04T23:27:40+02:00 EdgardMarx)

2021-05-04T23:27:40+02:00 EdgardMarx

Large-scale multilingual knowledge bases (KBs) are the key for cross-lingual and multilingual applications such as Question Answering, Machine  Translation,  and  Search. Read more about "Assessing Language Identification Over DBpedia"

DBpedia Tutorial @ Knowledge Graph Conference 2021 ( 2021-04-09T13:20:50+02:00 by Julia Holze)

2021-04-09T13:20:50+02:00 by Julia Holze

On May 4, 2021 we will organize a tutorial at the Knowledge Graph Conference (KGC) 2021. Read more about "DBpedia Tutorial @ Knowledge Graph Conference 2021"

DBpedia @ Google Summer of Code program 2021 ( 2021-03-15T09:41:22+01:00 by Julia Holze)

2021-03-15T09:41:22+01:00 by Julia Holze

DBpedia, one of InfAI’s community projects, will participate in the Google Summer of Code (GSoC) program for the 10th time. The GsoC program has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code program 2021"

DBpedia’s New Website ( 2021-01-28T12:42:40+01:00 by Julia Holze)

2021-01-28T12:42:40+01:00 by Julia Holze

We are proud to announce the completion of the new DBpedia website. Read more about "DBpedia’s New Website"

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"