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AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m.

February 19, 2015 - 10:53 pm by TommasoSoru - No comments »

On Monday, 23rd of February 2015, Edgard Marx will introduce Smart, a search engine designed over the Semantic Search paradigm; subsequently, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery.

EDIT: Tommaso Soru’s presentation was moved to March 2nd.

Abstract – Smart

Since the conception of the Web, search engines play a key role in making content available. However, retrieving of the desire information is still significantly challenging. Semantic Search systems are a natural evolution of the traditional search engines. They promise more accurate interpretation by understanding the contextual meaning of the user query. In this talk, we will introduce our audience to Smart, a search engine designed over the Semantic Search paradigm. Smart incorporates two of our currently designed approaches of dealing with the problem of Information Retrieval, as well as a novel interface paradigm. Moreover, we will present some of the former, as well as more recent state-of-the-art approaches used by the industry – for instance by Yahoo!, Google and Facebook.

Abstract – ROCKER

As within the typical entity-relationship model, unique and composite keys are of central importance also when their concept is applied on the Linked Data paradigm. They can provide help in manifold areas, such as entity search, question answering, data integration and link discovery. However, the current state of the art does not count approaches able to scale while relying on a correct definition of key. We thus present a refinement-operator-based approach dubbed ROCKER, which has shown to scale to big datasets with respect to the run time and the memory consumption. ROCKER will be officially introduced at the 24th International Conference on World Wide Web.

Tommaso Soru, Edgard Marx, and Axel-Cyrille Ngonga Ngomo, “ROCKER – A Refinement Operator for Key Discovery”. [PDF]

SlideWiki wins the creative innovation project award 2014 for OpenCourseWare excellence

April 27, 2014 - 9:15 pm by AliKhalili - No comments »

Just a couple of days ago, a paper about SlideWiki was presented at OCW Consortium Global Conference 2014 in Ljubljana, Slovenia. The paper was addressing “Crowd-sourcing (semantically) Structured Multilingual Educational Content (CoSMEC)”. In the presentation, Darya Tarasowa gave a detailed overview of the creation of multilingual open educational resources (OERs) in SlideWiki. SlideWiki is an OpenCourseWare authoring platform which enables crowdsourcing of the truly reusable structured open educational content.

At the closing ceremony of the conference, SlideWiki received the creative innovation project award for OpenCourseWare excellence from OCW Consortium. Project awards are aiming to recognize efforts that support the production, use and/or promotion of OCW/OER in ways other than the creation and use of material resources. The Creative Innovation Award recognizes outstanding innovations that bring a new approach to Open Education. Ideas or solutions presented as sites, courses or projects that substantially improve the discoverability, presentation, usability, accessibility or availability of course materials. For more information please visit:

http://www.openedconsortium.org/news/2014/04/ocw-consortium-announces-2014-winners-of-project-awards-for-opencourseware-excellence/

To get access to full-text of SlideWiki paper presented at OCW Consortium Global Conference 2014 visit:

http://openpraxis.org/index.php/OpenPraxis/article/view/117/pdf

AKSW Colloquium (Mon, 16.12.2013) about the SINA question answering system (as presented at IBM Watson)

December 13, 2013 - 4:09 pm by KonradHoeffner - No comments »

Last week Saeedeh Shekarpour was invited to present her work at the IBM research center (Watson project, DeepQA) in New York. On Monday, December 16 at 1.30 pm in Room P-702 (Paulinum), Saeedeh Shekarpour will present SINA, a question answering system, which transforms user-supplied queries in natural language into conjunctive SPARQL queries over a set of interlinked data sources.

As always, Bachelor and Master students are able to get points for attendance and there is complimentary coffee and cake after the session.

For further reading, please refer to the slides and the publication Question Answering on Interlinked Data (BibTeX).

The SINA Question Answering System

The architectural choices underlying Linked Data have led to a compendium of data sources which contain both duplicated and fragmented information on a large number of domains. One way to enable non-experts users to access this data compendium is to provide keyword search frameworks that can capitalize on the inherent characteristics of Linked Data. The contribution of this work is as follows:

  1. A novel approach for determining the most suitable resources for a user-supplied query from different datasets (disambiguation). It employs a hidden Markov model, whose parameters were bootstrapped with different distribution functions.
  2. A novel method for constructing a federated formal queries using the disambiguated resources and leveraging the linking structure of the underlying datasets. This approach essentially relies on a combination of domain and range inference as well as a link traversal method for constructing a connected graph which ultimately renders a corresponding SPARQL query.