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AKSW Colloquium “Combination of Topic Modeling and Semantic Web” on Monday, June 30

June 26, 2014 - 9:12 am by KonradHoeffner - No comments »

Combination of Topic Modeling and Semantic Web

On Monday, June 30, at 3.00 p.m. in room Paulinum 702, Michael Röder will present his yearly PhD progress report “Combination of Topic Modeling and Semantic Web”. The presentation addresses the usage of Topic Modeling in the area of Semantic Web. We will focus a use case in which topic models shall be used to recommend similar RDF datasets for a given dataset.

About the AKSW Colloquium

This event is part of a series of events about Semantic Web technology. Please see http://wiki.aksw.org/Colloquium for further information about previous and future events. As always, Bachelor and Master students are able to get points for attendance and there is complimentary coffee and cake after the session.

AKSW Colloquium PhD student talks of Martin Brümmer and Ricardo Usbeck on Monday, May 19, 3.00 p.m.

May 16, 2014 - 9:23 am by KonradHoeffner - No comments »

“Exploitation scenarios for Wikipedia abstracts” by Martin Brümmer

Martin Brümmer has started as a researcher at AKSW in Dec. 2013. He is a contributor to the NLP2RDF and the DBpedia Project and was co-chair of the Multilingual Linked Data for Enterprises (MLODE) 2012 workshop. He contributed to the development of the Linguistic Linked Open Data Cloud with conversions of diverse linguistic datasets into RDF. He is also maintaining an RDF-backed database of sidejobs done by the members of the German parliament. His research focus is on Linguistic Linked Open Data, NLP in the Semantic Web and Open Government Data.

Abstract

In the context of the DBpedia project, most of the structured data contained in the Wikipedia has already been or is in the process of being extracted. However, the unstructured text containing most enzyclopaedic knowledge is largely unexplored. The talk will try to define some exploitation scenarios of Wikipedia abstracts with the goal of exploring directions for future research.

“Combining Linked Data and Statistical Information Retrieval” by Ricardo Usbeck

Abstract

Being a part of the Information Age, users are challenged with a tremendously growing amount of Web data which generates a need for more sophisticated information retrieval systems. Linked Data provides necessary procedures to augment the highly unstructured Web with suitable metadata in order to leverage search quality and user experience. In this talk, we will outline an approach for creating a web-scale, precise and efficient information system capable of understanding keyword, entity and natural language queries. By using Semantic Web methods the doctoral work will present how the underlying knowledge is created and elaborated searches can be performed on top.

About the AKSW Colloquium

This event is part of a series of events about Semantic Web technology. Please see http://wiki.aksw.org/Colloquium for further information about previous and future events. As always, Bachelor and Master students are able to get points for attendance and there is complimentary coffee and cake after the session.

AKSW Colloquium with Mohamed Morseys PhD defense practise talk on Monday, December 2

November 28, 2013 - 1:16 pm by KonradHoeffner - No comments »

On Monday, December 2 at 1.30 pm in Room P-702 (Paulinum), Mohamed Morsey will give a final rehearsal for his PhD defense “Efficient Extraction and Query Benchmarking of Wikipedia Data”. Guests are encouraged to both provide feedback about improvements to the talk and ask preparatory questions.

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

Efficient Extraction and Query Benchmarking of Wikipedia Data

The thesis consists of two major parts:

  1. Semantic Data Extraction: the objective of that part is to extract data from semi-structured source, i.e. Wikipedia, and transform it into a networked knowledge base, i.e. DBpedia. Furthermore, maintaining the up-to-dateness of that knowledge base to be always in synchronization with Wikipedia.
  2. Triplestore Performance Evaluation: normally the semantic data is stored on a triplestore, e.g. Virtuoso, in order to enable the efficient querying of that data. In that part we have developed a new benchmark for evaluating and contrasting the performance of various triplestores.