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
+49-341-97-32329

@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

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"

AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching ( 2017-05-08T09:42:49+02:00 by Lorenz Bühmann)

2017-05-08T09:42:49+02:00 by Lorenz Bühmann

At the AKSW Colloquium, on Monday 8th of May 2017, 3 PM, Lorenz Bühmann will discuss a paper titled “Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching” of Kim et al. Read more about "AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching"

ESWC 2017 accepted two Demo Papers by AKSW members ( 2017-04-19T10:19:43+02:00 Christopher Schulz)

2017-04-19T10:19:43+02:00 Christopher Schulz

Hello Community! The 14th ESWC, which takes place from May 28th to June 1st 2017 in Portoroz, Slovenia, accepted two demos to be presented at the conference. Read more about them in the following:                                                                         1. Read more about "ESWC 2017 accepted two Demo Papers by AKSW members"

AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases ( 2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer)

2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer

At the AKSW Colloquium, on Monday 10th of April 2017, 3 PM, Matthias Wauer will discuss a paper titled “Ontop of Geospatial Databases“. Read more about "AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases"

AKSW Colloquium, 03.04.2017, RDF Rule Mining ( 2017-03-31T13:39:28+02:00 TommasoSoru)

2017-03-31T13:39:28+02:00 TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading → Read more about "AKSW Colloquium, 03.04.2017, RDF Rule Mining"