Kay Müller

Kay Müller
Depiction of Kay Müller
Address Work
Hainstraße 11, Room 101a (first floor), 04109 Leipzig
Email Office
Phone Work
+49-341-9732355
Fax Work
+49-341-229037-99

@DBLP @github @Google Scholar @LinkedIn @Twitter @Xing

Short Bio

Kay Mueller is currently a PhD student at the AKSW - KILT group in Leipzig. Before starting at the AKSW group in Leipzig he worked for over 9 years for IBM Ireland. There he worked in the area of Next Generation Computing for 6 years and for 3 years for IBM Watson. In the later project he worked mainly on Semantic Web technologies and Information Retrieval. Kay received his MSc. in Computer Science from the University of Reading in the area of High Performance Computing and his Dipl.-Ing. (FH) from the FHTW Berlin in the area of Computer Engineering in 2006.

Kay's research interests are in the area of Semantic Web, Natural Language Processing, Big Data and Machine Learning. Due to his background he is also interested in the area of computer accelerators (e.g. FPGAs, GPUs, ASICs, etc.) and state of the art distributed systems (e.g. Apache Spark, Apache Flink, etc.).

At IBM Kay was the co-author of several patents and publications.

Current Projects

  • NLP2RDFConverting NLP tool output to RDF
  • Smart Data WebCreation of an industry knowledge base for the German industry.

Publications

by (Editors: ) [BibTex of ]

News

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 by Sandra Bartsch)

2019-08-01T10:35:05+02:00 by 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"

13th DBpedia community meeting in Leipzig ( 2019-02-22T12:22:07+01:00 by Julia Holze)

2019-02-22T12:22:07+01:00 by Julia Holze

We are happy to invite you to join the 13th edition of the DBpedia Community Meeting, which will be held in Leipzig. Read more about "13th DBpedia community meeting in Leipzig"