Nadine Jochimsen

Nadine Jochimsen
Depiction of Nadine Jochimsen
Address Work
Augustusplatz 10, Room P631, 04109 Leipzig
Email Office
Phone Work
+49-341-9732367
Fax Work
+49-341-97-32329

Nadine has been working as a project manager for AKSW since 2009. She is responsible for the legal, financial and administrative management of the more than 30 research projects of which AKSW has been a part of. In particular, she has been the project manager for large-scale EC projects at the Department of Computer Science of Leipzig University, at the university’s adjunct Institute of Applied Informatics (e.V.) and at the Fraunhofer Institute for Intelligent Analysis and Information Systems. In addition, she leads the management and controlling of all contractual research carried out at AKSW.

Current Projects

  • ALIGNEDAligned, Quality-centric Software and Data Engineering
  • BDEBig Data Europe
  • DIESELDistributed Search in Large Enterprise Data
  • GEISERVon Sensordaten zu internetbasierten Geo-Services
  • HOBBITHolistic Benchmarking of Big Linked Data
  • LEDSLinked Enterprise Data Services
  • LinkingLODinterlinking knowledge bases
  • QAMELQuestion Answering on Mobil Devices
  • SAKEWith RDF and Machine Learning Getting Results Faster
  • SlideWiki.euLarge-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics.
  • SLIPOScalable Linking and Integration of Big POI data
  • Smart Data WebCreation of an industry knowledge base for the German industry.

Past Projects

  • BIGBig Data Public Private Forum
  • BioASQa challenge on large-scale biomedical semantic indexing and question answering
  • FREMEOpen Framework of E-services for Multilingual and Semantic Enrichment of Digital Content
  • GeoKnowMaking the Web an Exploratory for Geospatial Knowledge
  • GOLDGenerating Ontologies from Linked Data
  • LATCLOD Around-the-Clock
  • LIDERLinked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe
  • LOD2Creating Knowledge out of Interlinked Data

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"