Linked Open Data
Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF."
In this seminar, we will look at technologies and applications of linked open data for information systems. Topics of interest include:
- RDF and RDF Schema
- SPARQL and RDF Querying
- RDF Storage and Retrieval
- Browsing and Visualization
- URIs and de-referencing
- Data Matching and Integration
- Data Provenance and Trust
- Mashups and Application
Participants are expected to prepare presentation and give a talk during a one-day meeting. In addition, a written report summarizing the contents of the talk has to be prepared until the end of the semester. Presentation and report are preferably delivered in english. We strongly recommend using LaTex for the report. If you do not use LaTex, make sure the layout of your report meets the same quality standards.
- Intructions for presentation and report (german): Wissenschaft.pdf
- Introduction to LaTex (german): Latex.pdf
- A LaTex template is available on the thesis page (replace 'book' by 'report' in the first line of the template)
Schedule
November 12 2010, 13:00 - 17:30
B6, 26, Room A.206
- 13:00 - 13:30 Sebastian Keller: Probabiblistc Traveling Salesman Problem
- 13:30 - 14:00 Mark Himmelsbach: Stylometry for Author Profiling in Weblogs
- 14:00 - 14:30 Sebastian Eifler: Sentiment Analysis
- 14:30 - 15:00 Quy Dat Tran: Specialized Search Engines
- 15:00 - 15:30 coffee break
- 15:30 - 16:00 Marc Vincent Seidel: Association Rule Mining
- 16:00 - 16:30 Meriç Kükürt: Representation of Social Networks Data in a Homogeneous Ontology for the Semantic Web
- 16:30 - 17:00 Ömer Perçin: Recent Approaches Towards Interoperable Metadata Provenance
- 17:00 - 17:30 Michael Kornmann: Vergleich von Topic Maps mit RDF
Contact Prof. Stuckenschmidt for details