News and Updates on the KRR Group
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protege logo +Apache Jena + YASGUI

 

This year we again have a nice group of students (almost 70) following the 3rd year bachelor Semantic Web course. Until this year it was quite a hassle to combine the bits and pieces to create a complete workflow starting from ontology creation (in Protégé) to having a nice SPARQL endpoint that reasons in OWL over the ontology+instances.

Like the previous years, the instructors (Stefan Schlobach and Ronald Siebes) updated the assignment by the latest developments regarding available toolkits and software.  We were surprised that it was very easy to integrate these latest tools and are now able to do the following within 30 minutes on any machine:

- create a simple ontology in Protégé

- install a sparql endpoint with OWL reasoning (Jena-Fuseki)

- import the ontology

- connect this local endpoint with Yasgui (http://yasgui.laurensrietveld.nl)

- do via Yasgui a federated query combining results from our local endpoint together with results from other endpoints (e.g. DBPedia)

Conclusion: it is now in reach of many people to get, without a lot of suffering, a nice Semantic Web infrastructure up-and-running, and connect it with the vast amount of external Linked-data from various endpoints.

The Semantic Web works!

Here you can find a manual to do this yourself and hopefully share the conclusion.

 

On 27.03.2012, 04.00pm CET the LOD2 project (http://lod2.eu) 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: https://www2.gotomeeting.com/register/369667514

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 (ehumanities.nl) 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).

      Information

      For the text of the CEDAR_proposal follow the link from HSN News

      http://www.iisg.nl/hsn/news/. For further information please contact: Dr. Andrea Scharnhorst andrea.scharnhorst@dans.knaw.nl or mobile phone (+31) (0)6 23 63 32 93.

      Applications

      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 sollicitaties@dans.knaw.nl.

      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 http://www.academictransfer.com/employer/KNAW/vacancy/11365/lang/en/

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        Chris Welty

        Image via Wikipedia

        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

        Abstract:
        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.

        Bio:
        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.