Edgard Marx

Edgard Marx
Depiction of Edgard Marx
Address Work
Hochschule für Technik, Wirtschaft und Kultur Leipzig (HTWK) - University of Applied Sciences
Gustav-Freytag-Str. 42 A, Room Z512, 04277 Leipzig
Email Office
Phone Work
+49-341-3076-6421
Fax Work
+49-341-229037-99

Homepage

I am a researcher at the Leipzig University of Applied Sciences (HTWK). I work on Natural Language Processing (NLP) focusing on Question Answering and Semantic Search systems. I am also an active member of the Semantic and NLP academic community participating as a reviewer in conferences and working groups such as AAAI (Conference on Artificial Intelligence) and QALD (Open Challenge on Question Answering over Linked Data) as well as publishing several peer-reviewed publications in the area.

Current Projects

  • DBtrends – Evaluating Ranking functions on RDF data sets
  • KBox – Distributing Ready-to-Query RDF Knowledge Graphs
  • Neural SPARQL Machines – Translating natural language into machine language for data access.
  • openQA – Open Question Answering Framework
  • PCP on Web – Professorial Career Patterns of the Early Modern History
  • RDFSlice – Large-scale RDF Dataset Slicing
  • SMART – A Semantic Search Engine

Publications

by (Editors: ) [BibTex of ]

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"