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

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning ( 2017-07-06T21:24:36+02:00 by Daniel Obraczka)

2017-07-06T21:24:36+02:00 by Daniel Obraczka

At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Read more about "AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning"

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."