Patrick Westphal

Patrick Westphal
Depiction of Patrick Westphal
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
Phone Work
+49-341-9732253
Fax Work
+49-341-97-32329

Research interests

My main research interest is structured machine learning and its application on Big Data problems. As part of the MOLE group I am contributing to the DL-Learner framework trying to adapt and extend it for bigger life science use-cases. Besides this, further efforts concern the parallelization of existing learning algorithms on shared memory and shared nothing architectures.

Current Projects

  • DL-Learner – a tool for supervised Machine Learning in OWL and Description Logics
  • GeoKnow – Making the Web an Exploratory for Geospatial Knowledge
  • Jassa – JAvascript Suite for Sparql Access
  • LinkedGeoData – adds a spatial dimension to the Web of Data
  • QROWD – The power of the Qrowd combines with RDF
  • RDFUnit – an RDF Unit-Testing suite
  • SANSA-Stack – Open source platform for distributed data processing for RDF large-scale datasets
  • SML-Bench – A Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
  • Sparqlify – a SPARQL-SQL rewriter

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"