OntoWiki Feature of the Week: Enhanced Model Creation

Dear OntoWiki Users,

This weeks feature hooks into the knowledge base/model creation and add data process.

You can create a new knowledge base from the “Knowledge Bases” module’s menu with “Edit > Create Knowledge Base”.
The title and the URI for the new knowledge base are optional now and you can start rightaway with a new empty knowledge base or select one of the option:

  • Import an RDF resource from the web (queries the model URI with Linked Data)
  • Upload an RDF Dump (supported formats are RDF/XML, RDF/JSON, Turtle and N3)
  • Paste Source (the same as “Upload an RDF Dump” but with an input form)

But what is OntoWiki without extensions?
You can define a new import method with an extension by registering it for the “onProvideImportActions”-event.
One example for such an extension is the csvimporter (which will be one of the next features of the week 😉 )

The add data action (“Add Data to Knowledge Base” in the knowledge base’s context menu) is now the same as the one used for creating a new knowledge base. This implies that there are the same extensions registered and the same options available.

This feature is available in the develop branch and will be published with
OntoWiki 0.9.11.

Best regards

Natanael Arndt

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OntoWiki Feature of the Week: Enhanced Query Shell

Dear OntoWiki Users,

today we start a feature of the week series to announce some recent features of
OntoWiki or of some of OntoWiki extensions.

This weeks feature is visible in OntoWiki’s query shell result table.

Each result resource can no be
– extended (the plus-button) for a quick view
– selected as a starting point for a new query
– deleted, exported, imported and even edited via the standard resource context menu

This feature is available in the develop branch and will be published with
OntoWiki 0.9.11.

Hope you enjoy the Feature of the Week initiative.

Best regards

Sebastian Tramp

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Estimating the value of Linked Open Data

With its increased rate of adoption, Linked Data is becoming a valuable commodity in numerous domains across the web. But, how valuable is Linked Data after all? How much did it cost to create and publish a dataset as RDF? What is the value of a dataset? To gather information on details of the creation of datasets and then estimate the value of Linked Open Data in terms of time and money, we are conducting a survey. Thus would like to request you to help us by filling out the survey at: http://goo.gl/dLAl8.

This survey contains 23 questions and will take about 10-15 minutes to complete. The results of this survey will be summarized and used to estimate the value of Linked Data and will be made accessible to the survey participants as well as the general public. Please note: if you have more than one dataset that you have published, please fill the questionnaire separately for each of the datasets.

Thank you very much for your time.

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Der Leipziger Semantic Web Tag (LSWT)

Der Leipziger Semantic Web Tag (LSWT) bietet seit 2009 Unternehmen und Organisationen die Möglichkeit, sich zu Themen im Bereich semantischer Technologien auszutauschen. In den letzten Jahren wurden Semantic Web Technologien von vielen Firmen in größerem Umfang eingesetzt. Insbesondere das Linked Data Paradigma hat sich von einem forschungszentrischen Thema zu einer Reihe von industrierelevanten Technologien und Anwendungen entwickelt. Der diesjährige LSWT findet am 23. und 24. September als Teil der SABRE Multikonferenz statt. Um sich inhaltlich über den LSWT zu Informieren, eignet sich am Besten ein Blick auf die Einladung.

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Special Issue on Web Data Quality in IJSWIS

Call for papers
Special Issue on Web Data Quality
International Journal on Semantic Web and Information Systems

Scope:

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Open Data (LOD). The integration across this Web of Data, however, is hampered by the ‘publish first, refine later’philosophy. This leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and incomprehensibility. These problems affect every application domain, be it scientific (e.g., life science, environment), governmental or industrial applications.

This Special Issue is addressed to those members of the community interested in providing novel methodologies or frameworks in assessing, monitoring, maintaining and improving the quality of the Web of Data and also introduce tools and user interfaces which can effectively assist in the assessment. The benefits of such methodologies will not only help in detecting inherent data quality problems currently plaguing the Web of Data, but also provide the means to fix these problems and maintain the quality in the long run. Additionally, we also seek articles that help identify the current impediments in building real-world LOD applications

Topics:

  • Web data and LOD quality concepts
  • Data quality dimensions and metrics for Web data and LOD quality
  • Web data and LOD quality methodologies
  • Data quality assessment frameworks
  • Evaluation of quality and trustworthiness in the web of data
  • (Semi-)automatic assessment in the web of data
  • Large-scale quality assessment of structured datasets
  • Validation of currently existing data quality assessment methodologies
  • Use-case driven quality assessment
  • Quality assessment leveraging background knowledge
  • Co-reference detection and dataset reconciliation
  • Data quality methodologies for linked open data
  • Evaluating quality of ontologies
  • Web data and LOD quality tools
  • Design and implementation of data quality monitoring, assessment and improvement tools
  • Quality exploration and analysis interfaces
  • Scalability and performance of tools
  • Monitoring tools
  • Case studies on Web data and LOD quality assessment and improvement
  • Web data and LOD quality benchmarks
  • Issues in LOD
  • Methods to acquire most relevant LOD datasets
  • Generating meaningful associations across LOD datasets
  • Posted in Announcements, Data Quality, Events, Papers | 2 Comments

    AKSW wins best paper award at ESWC 2013

    Best Paper ESWC 2013Our paper “When to Reach for the Cloud” was awarded the best paper award at ESWC. The idea behind the paper was to provide implementations of the HR3  algorithm (the first reduction-ratio-optimal algorithm for link discovery) for parallel hardware and to devise suggestions for when to use which hardware when computing links between very large data sets. With this work, we aim to make link discovery amenable to Big Data.  Check out the paper here 😉

    Link on,

    Axel on behalf of AKSW

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    Google's spiritus rector Eric Schmidt visited AKSW

    Today Google’s spiritus rector Eric Schmidt visited AKSW to learn about the newest Linked Data technology and figuring out how to replace the Google’s proprietary knowledge graph with open DBpedia.

    Joke aside: Together his co-author Jared Cohen he  visited University of Leipzig to discuss  their new book “The New Digital Age: Reshaping the Future of People, Nations and Business” with students and researchers.

    Eric and Jared spend more than an hour answering questions, talking and joking. The major topics were the Internet, freedom of expression, privacy, copyright, and driving on German Autobahn. One of their key ideas seems to be that technology and the Internet can help to make the world better by spreading values such as freedom of speech and ultimately democracy. Generally an agreeable opinion, but as we now have a virtual reality on the Internet, we also seem to have sometimes a virtual democracy or how else could George W. and friend’s succeed in taking over and raiding their country, lying to world public to start a useless war (in Iraq) costing ten thousands lifes on all sides. Especially regarding the latter the internet censorship of the Chinese government (which also was a topic) appears like a rather minor shortcoming.

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    SlideWiki at CSEDU2013 Conference

    CSEDU 2013, the International Conference on Computer Supported Education was taking place in Aachen, Germany this year. The conference was addressing different e-learning themes such as Information Technologies Supporting Learning, Learning/Teaching Methodologies and Assessment, Ubiquitous Learning, Social Context and Learning Environments as well as Cloud Education Environments.CSEDU2013
    On behalf of AKSW, Ali Khalili and Darya Tarasowa presented two papers namely “CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content” and “Balanced Scoring Method for Multiple-mark Questions” at the conference (with acceptance rate 13% for full papers). The corresponding slides are available on SlideWiki (CrowdLearn, Balanced Scoring). The CrowdLearn paper discussing the underlying philosophy behind SlideWiki received many attention from the audience and was also nominated for the best-paper award in the conference. There were many people who were interested in using SlideWiki for publishing their teaching material and to share their educational content with other people in an OpenCourseWare environment.

    Most of the keynotes were addressing MOOCs (Massive Open Online Courses) and the new paradigms emerging on the Web for social learning. SlideWiki as an example of collaboration platform was also mentioned by professor Michael E. Auer in his keynote about the new engineering challenges in e-learning.

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    Open Data Conference in Seoul

    On the second day of Sören’s short trip to Korea, we participated in the Open Data Conference of the Information Society Agency (NIA). NIA seems to be implementing a comprehensive Open Data strategy (also involving LinkedData). Looks like South Korea is quite advanced in this regard already. In addition to my talk about Linked Open Government Data, there was also a talk by Haklae Kim about the Korean Open Knowledge foundation chapter. There were also some industry representatives (Samsung, LG) in the audience and interested in applying Linked Data in enterprise environments.

    You can find pictures from the event on Facebook.

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    LOD2 STACK USABILITY SURVEY STARTED

    In the recent years the LOD2 stack established a collection of applications developed in the context of the LOD2 project, presented as an unified environment. These applications are referred to as components although they can also be installed independently. However, having all these components in a single environment eases the access from one application to the other and improves the UI experience.

    As LOD2 stack is now available in it’s second version, questions of usability and end users experience came more in the focus of the ungoing development. So the LOD2 consortium set up  a survey asking users of the LOD2 stack (or the online Demonstrator) for feedback, regarding their experiences with the LOD2stack and the separate components. The outcome of this, is to fine tune development and improve the user experience in each phase of the Linked Data life cycle.

    The survey is open from April 15 to June 30 and will only demand 15 minutes of your time.

    Posted in Announcements, DL-Learner | 2 Comments