News and Updates on the KRR Group
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This week we received notification from the EU that the LDBC project has been granted. We think this is great news. The LDBC project (is a STREP and will run until Q2 2015. LDBC stands for Linked Data Benchmark Council, and linked data here of course comprises RDF data management, but also includes the emerging class of graph database systems.

The mission of the LDBC project is to establish a long-term independent association among RDF and Graph database companies that define benchmarks, specify benchmarking practices and publish officially vetted benchmark results. Beyond the project partners, many commercial vendors of RDF and Graph database systems have already expressed their interest in joining this council (once we have founded the legal entity.. it will take a few months still).

The motivation behind the project is to show the strengths (and weaknesses) of RDF and Graph database technologies to the wider IT community pondering the adoption of these technologies, by enabling comparisons between the various products but also with established relational database technologies. Also, by establishing competition on these benchmarks LDBC aims to foment technical progress in the RDF and Graph database systems.

The LDBC project partners include for the RDF database community Ontotext and Openlink; from the graph database side there is Neo Technologies (of neo4j fame) and Sparsity is indirectly involved through academic project partner UPC (Barcelona). Other project partners are University of Innsbruck, FORTH, VU University Amsterdam and Technical University Munich (TUM). The academic partners will help to provide the council with an initial set of benchmarks.

The technical topics of interest for benchmarking are:

  • complex analytical queries for both graph and RDF
  • graph analysis algorithms and traversals
  • large-scale reasoning on RDF data
  • transaction performance
  • systems support for data integration and provenance

The use-case scenarios for these are:

  • social networking (e.g. marketing companies)
  • dynamic publishing (e.g. BBC)
  • telecommunication network analysis
  • bioinformatics data integration (e.g. OpenPhacts)

LDBC interacts with users of Graph and RDF technologies through is Technical User Community (TUC), and the TUC is having its first users workshop in Barcelona next week Nov19+Nov20 ( on the premises of UPC. The main take-away for users to engage with the TUC is to influence the benchmarking agenda of the LDBC. Talk to us, and RDF vendors might start competing in how to best solve your problems! Even if the Barcelona meeting is too short notice, please drop a note if you want to be involved in the TUC or know people who should.

Finally, please fill in the questionnaire ( to tell us about your usage (problems) with RDF (or graph) database technologies. We will be looking at the questionnaire results that we have received by Friday November 16 to help set the agenda in the users meeting, so if you want to contribute already this week, that would be highly appreciated.

Thanks for your time, also on behalf of the full LDBC consortium,

Peter Boncz (scientific director LDBC)
Paul Groth
Frank van Harmelen

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LIMES Webinar

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On 27.03.2012, 04.00pm CET the LOD2 project ( will offer the next free one hour webinar on LIMES. LIMES is a tool providing time-efficient and lossless discovery of links across knowledge bases. LIMES is an extensible declarative framework that encapsulates manifold algorithms dedicated to the processing of structured data of any sort. Built with extensibility and easy integration in mind, LIMES allows implementing applications that integrate, consume and/or generate Linked Data. Within LOD2, it will be used for discovering links between knowledge bases.

This webinar will be presented by the LOD2 Partner: University of Leipzig (ULEI), Germany

The LOD2 webinar series is powered by the LOD2 project organised and produced by the Semantic Web Company (Austria). If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the LOD2 webinar series! The LOD2 team is looking forward to meeting you at the webinar!

When : 27.03. 2012, 04.00pm – 05.00pm CET
Information & Registration:

The LOD2 team is looking forward to meeting you at the webinar!! All the best and have a nice day!

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With effect from November 15th there is a vacancy for a

PhD student CEDAR – Linked data

38 hours a week (1.0 fte) (for 48 months in total)

(Vacancy number DANS-2011-CEDARPhD1) (repeated call)

DANS in collaboration with the IISH, and the VU University Amsterdam is working on a project of the Computational Humanities programme of the KNAW “Census data open linked – From fragment to fabric – Dutch census data in a web of global cultural and historic information (CEDAR)”

Project Background

This project builds a semantic data-web of historical information taking Dutch census data as a starting point. With such a web we will answer questions such as:

  • What kind of patterns can we identify and interpret in expressions of regional identity?
  • How to relate patterns of changes in skills and labor to technological progress and patterns of geographical migration?
  • How to trace changes of local and national policies in the structure of communities and individual lives?

This project applies also a specific web-based data-model – exploiting the Resource Description Framework (RDF) technology– to make census data inter-linkable with other hubs of historical socio-economic and demographic data and beyond. The project will result in generic methods and tools to weave historical and socio-economic datasets into an interlinked semantic data-web. Further synergy will be created by linking CEDAR to Data2Semantics, a COMMIT project.

Information on the position

The PhD project, titled “Linked Open Data curation model in social science history – the case of Dutch census data” will be supervised by Professor Frank van Harmelen (VU Amsterdam). You will work in a project team consisting of another PhD student (PhD project “Theory and Practice of data harmonization in social history” (under the supervison of Professor Kees Mandemakers (Erasmus School of History, Culture and Communication, Erasmus University Rotterdam; IISH) and a postdoc experienced in complex network analysis and visualization. The project will be coordinated by Dr Andrea Scharnhorst (DANS, e-humanities group). It is part of the Computational Humanities Programme of the KNAW, which will be hosted at the e-humanities group ( and in which further projects (with PhD students, postdoc’s and senior staff) in the area of computational and digital humanities will be carried out.

    You will conduct research on:

    • Review of existing data models of census data, adaptation and modification, construction of the RDF model, links to other semantic web sources
    • Query design (specific to different user communities)
    • Development of RDF models of census data (historical variables)
    • Mapping of different ontologies across domains and along time,
    • Development of best practices to enable take-up of linking and re-use of data in other scientific disciplines and take-up in other KNAW institutes.
    • Visual navigation through RDF modelled information spaces


    Position requirements

    You preferably should have the following qualifications:

      • Master in computer sciences, artificial intelligence, information science or related areas
      • Interest in and knowledge of semantic technologies and their deployment on the Web
      • Fluency in spoken English and excellent written and verbal communication skills,
      • Knowledge of Dutch would be an advantage
      • Willingness and proven ability to work in a team and to liaise with colleagues in an international and interdisciplinary research environment

      Appointment and Salary
      The position involves a temporary appointment with DANS for 4 years with a 2-month period of probation. Applicants should have the right to work in the Netherlands for the duration of the contract. The gross salary will be € 2.042,- per month in the first year, rising to € 2.612,- per month in the fourth year for a full time appointment (scale P, for a PhD position, CAO-Dutch Universities).

      DANS offers an extensive package of fringe benefits, such as 8,3% year-end bonus, 8% holiday pay, a good pension scheme, 6 weeks holiday on an annual basis and the possibility to buy or sell vacation hours.

      Place of employment will be DANS – Data Archiving and Networked Services. The main working location will be at the e-Humanities Group of the KNAW (location Meertens institute, Joan Muyskenweg, Amsterdam).


      For the text of the CEDAR_proposal follow the link from HSN News For further information please contact: Dr. Andrea Scharnhorst or mobile phone (+31) (0)6 23 63 32 93.


      Please send a letter of application including

      1. letter of motivation
      2. CV, copy of Master Thesis and list of M.Sc. courses and grades
      3. the names and addresses of two referees before October 15th , 2011 to DANS,

        t.a.v. Hetty Labots, Personnel Department, P.O. Box 95366, 2509 CJ Den Haag,

        The Netherlands or (preferably) by e-mail to

      Interviews probably will take place at the end of October, 2011 in Amsterdam. When you already applied for this position please do not apply again.

        See also

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        Chris Welty

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        On Monday, June 27th from 4-5 pm, Chris Welty of the IBM T.J. Watson Research Center, will give a talk on Watson in room HG-01A05 of the VU main building.

        Title: Inside the mind of Watson

        Watson is a computer system capable of answering rich natural language questions and estimating its confidence in those answers at a level of the best humans at the task. On Feb 14-16, in an historic event, Watson triumphed over the best human players of all time on the American television quiz-show, Jeopardy! In this talk I will discuss how Watson works at a high level with examples from the show.

        Chris Welty is a Research Scientist at the IBM T.J. Watson Research Center in New York. Previously, he taught Computer Science at Vassar College, taught at and received his Ph.D. from Rensselaer Polytechnic Institute, and accumulated over 14 years of teaching experience before
        moving to industrial research. Chris’ principal area of research is Knowledge Representation, specifically ontologies and the semantic web, and he spends most of his time applying this technology to Natural Language Question Answering as a member of the DeepQA/Watson team and, in the past, Software Engineering. Dr. Welty is a co-chair of the W3C Rules Interchange Format Working Group (RIF), serves on the steering committee of the Formal Ontology in Information Systems Conferences, is president of KR.ORG, on the editorial boards of AI Magazine, The Journal of Applied Ontology, and The Journal of Web Semantics, and was an editor in the W3C Web Ontology Working Group. While on sabbatical in 2000, he co-developed the OntoClean methodology with Nicola Guarino. Chris Welty’s work on ontologies and ontology methodology has appeared in CACM, and numerous other publications.

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        The KR&R group investigates modelling and representation of different forms of knowledge and reasoning, as found in a large variety of AI systems. We have an interest in both applications and theory. We study theoretical properties of knowledge representation and reasoning formalisms, but are also involved in developing practical knowledge-based systems. Recently, we have been very active in developments around the Semantic Web.

        Posts on this website are continuously aggregated from project and member blogs.