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* [[York Sure-Vetter|Prof. York Sure-Vetter]]
 
* [[York Sure-Vetter|Prof. York Sure-Vetter]]
 
* [[Maribel Acosta]]
 
* [[Maribel Acosta]]
* [[Andreas Harth]]
 
 
* [[Tobias Käfer]]
 
* [[Tobias Käfer]]
 +
* [[Lars Heling]]
  
 
{{Rubrik|Registration}}
 
{{Rubrik|Registration}}
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==Registration Wintersemester 2017/18 ==
 
==Registration Wintersemester 2017/18 ==
[https://portal.wiwi.kit.edu/ys/1541| Link in WiWi-Portal]
+
[https://portal.wiwi.kit.edu/ys/2895| Link in WiWi-Portal]
  
 
{{Rubrik|Previous Seminars}}
 
{{Rubrik|Previous Seminars}}
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==Former Projects and Applications Developed in the Seminar==
 
==Former Projects and Applications Developed in the Seminar==
  
'''iLikeMusic'''
+
==Beispiel Applikationen einiger Studenten==
 +
'''Query Optimization over Compressed Knowledge Graphs'''
  
Carola Rauch, Daniel Trumpp, Dominik Siegele, Sandra Rath
+
This seminar project addresses the problem of optimizing the execution of SPARQL queries over compressed knowledge graphs using an extended version of the Header Dictionary Triples (HDT http://www.rdfhdt.org/) format with extended metadata. This seminar project proposes a novel cost model to improve the estimation of join cardinalities when evaluating SPARQL queries. The proposed solution is implemented over an extension of Linked Data Fragments (LDF http://linkeddatafragments.org/) to access compressed graphs on the web. 
  
 +
Students: Elena Wössner, Chang Qin, Davinny Sou
  
'''Travel Security Information Service'''
+
[[Datei:LDSW_cost_model.png| 500px]]
 +
Visualization of enhanced metadata in HDT accessed via LDF.
  
Artur Schulz, Alexander Zand, Umut Yildirim, Heiko Burkhardt
 
[[Datei:Tsis ws2011.png|500px]]
 
  
 +
'''Entity Summarization for Knowledge Panels'''
  
 +
This seminar project investigates the problem of ranking properties based on their relevance to summarize entities in a knowledge graph. The initial solution (2016) relied on statistical distributions of properties in knowledge graphs and compute the relevance of properties using TF-IDF. An extended solution (2017) considered also the ontological definitions in the knowledge graph and exploited class hierarchies to identify the top-k relevant properties of an entity.     
  
'''Reiseführer 3.0'''
+
Students (Initial Solution): Ferdinand Mütsch, Benny Rolle, Han Che
  
Max-Johann Brandt, David Dauer, Philipp Gemmeke, Leif-Erik Goutier
+
Students (Extended Solution): Yuing Yang, Qian Cheng
[[Datei:Reisefuehrer ss2010.png|500px]]
 
  
 +
 
 +
Screenshots:
 +
[[Datei:LDSW_KP1.png| 500px]]
 +
Visualization of a multi-lingual knowledge panel.
  
'''Eventtracker: Ortsbezogene Veranstaltungssuche in Firefox'''
+
[[Datei:LDSW_KP2.png| 500px]]
 +
Visualization of the knowledge panel. Relevant properties for the entity 'Karlsruhe'
  
Nicolas Bettin, Michael Kaufmann, Kai Mainzer, Katariina Nyberg
 
  
 +
'''Cepler - A Comparison Engine'''
  
 +
Cepler is a project launched in the Linked Data and Semantic Web seminar at the Institute of Applied Informatics and Formal Description Methods (AIFB) in 2016.
 +
Cepler addresses the problem that people are very bad at imagining large numbers. Therefore, Cepler leverages Linked Open Data to provide  comparisons to real world objects given a quantity, so people can understand those numbers more intuitively.
  
'''Linked News'''
+
Students: Nico, Ben, Lars
  
Artem Schumilin, Viktor Rudomyotkin
+
Online Demo: [http://cepler-1157.appspot.com]
[[Datei:Linked news ws0910.png|500px]]
 
  
 +
Screenshot:
  
'''Maps for Mobiles'''
+
[[Datei:Ldsw seminar cepler.png| 500px]]
  
Benjamin Langguth, Robert Ulrich
 
[[Datei:Mobile ws0910.png|500px]]
 
  
 +
'''Delta++: Analysing the Evolution of Knowledge Graphs'''
  
'''Interessenorientiertes Geocoded Matching von LOD Daten in einer Client-Server-Umgebung am Beispiel von FOAF'''
+
Delta++ implements data structures tailored to track changes over knowledge graphs modelled with the Resource Description Framework (RDF). Delta++ is currently implemented on top of the DBpedia Wayback Machine (https://data.wu.ac.at/wayback/), a service that retrieves the status of DBpedia entities at different points in time. 
  
Thomas Gerber, Martin Zang, Ole Ottemöller
+
Students: Marvin Ruchay, Cedric Kulbach
  
[[Datei:Geocode ws0910.png|500px]]
+
Screenshots:
  
 
+
[[Datei:LDSW_Delta1.png| 500px]]
'''Semanticore: Wie Songbird Linked Open Data zwitschert'''
+
[[Datei:LDSW_Delta2.png| 500px]]
 
 
Fabian Howahl, Steffen Stadtmüller, Pascal Wichmann
 

Version vom 24. Juli 2019, 13:43 Uhr

Praktikum Linked Open Data basierte Web 3.0 Anwendungen und Services


Description

The Linked Data principles are a set of practices for data publishing on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. Linked Data is also used to make web-pages machine-understandable, corresponding annotations are considered by the big search engine providers. On a smaller scale, devices on the Internet of Things can also be accessed using Linked Data which makes the unified processing of device data and data from the web easy.

In this practical seminar, students will build prototypical applications and devise algorithms that consume, provide, or analyse Linked Data. Those applications and algorithms can also extend existing applications ranging from databases to mobile apps.

For the seminar, programming skills or knowledge about web development tools/technologies are highly recommended. Basic knowledge of RDF and SPARQL are also recommended, but may be acquired during the seminar. Students will work in groups. Seminar meetings will take place as 'Block-Seminar'.

Organization

  • Seminar participants will work in groups (~3 persons) on a project.
  • The seminar includes four mandatory sessions:
    • Kick-off session (beginning of the semester): Tutors recap on the foundational technologies of the seminar, i.e. Semantic Web Technologies.
    • Preliminary presentation (beginning of the semester): Seminar participants present initial ideas of the project.
    • Intermediate presentation (mid semester): Seminar participants report on the progress of their projects.
    • Final presentation (end of the semester): Seminar participants present their projects and final results.
  • Seminar participants may schedule individual meetings with their tutors to discuss the progress of the work (highly recommended).


Tutors


Registration

The seminar takes place as a 'Block Seminar'.

Questions? Please contact Maribel Acosta.

Registration Wintersemester 2017/18

Link in WiWi-Portal


Previous Seminars

Former Projects and Applications Developed in the Seminar

Beispiel Applikationen einiger Studenten

Query Optimization over Compressed Knowledge Graphs

This seminar project addresses the problem of optimizing the execution of SPARQL queries over compressed knowledge graphs using an extended version of the Header Dictionary Triples (HDT http://www.rdfhdt.org/) format with extended metadata. This seminar project proposes a novel cost model to improve the estimation of join cardinalities when evaluating SPARQL queries. The proposed solution is implemented over an extension of Linked Data Fragments (LDF http://linkeddatafragments.org/) to access compressed graphs on the web.

Students: Elena Wössner, Chang Qin, Davinny Sou

LDSW cost model.png Visualization of enhanced metadata in HDT accessed via LDF.


Entity Summarization for Knowledge Panels

This seminar project investigates the problem of ranking properties based on their relevance to summarize entities in a knowledge graph. The initial solution (2016) relied on statistical distributions of properties in knowledge graphs and compute the relevance of properties using TF-IDF. An extended solution (2017) considered also the ontological definitions in the knowledge graph and exploited class hierarchies to identify the top-k relevant properties of an entity.

Students (Initial Solution): Ferdinand Mütsch, Benny Rolle, Han Che

Students (Extended Solution): Yuing Yang, Qian Cheng


Screenshots: LDSW KP1.png Visualization of a multi-lingual knowledge panel.

LDSW KP2.png Visualization of the knowledge panel. Relevant properties for the entity 'Karlsruhe'.


Cepler - A Comparison Engine

Cepler is a project launched in the Linked Data and Semantic Web seminar at the Institute of Applied Informatics and Formal Description Methods (AIFB) in 2016. Cepler addresses the problem that people are very bad at imagining large numbers. Therefore, Cepler leverages Linked Open Data to provide comparisons to real world objects given a quantity, so people can understand those numbers more intuitively.

Students: Nico, Ben, Lars

Online Demo: [1]

Screenshot:

Ldsw seminar cepler.png


Delta++: Analysing the Evolution of Knowledge Graphs

Delta++ implements data structures tailored to track changes over knowledge graphs modelled with the Resource Description Framework (RDF). Delta++ is currently implemented on top of the DBpedia Wayback Machine (https://data.wu.ac.at/wayback/), a service that retrieves the status of DBpedia entities at different points in time.

Students: Marvin Ruchay, Cedric Kulbach

Screenshots:

LDSW Delta1.png LDSW Delta2.png