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Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
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Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
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Web Science

Important Infos

Please select a date for your oral EXAM using the below link

Location: KBS, Appelstr. 4, 2nd floor, Prof. Nejdl's room. 

Final version:




Course start: 05.04.2016, 15.00-16:30, Multimedia-Hörsaal (3703 - 023)

Teaching Team

  • Responsible Professor: Prof. Dr. techn. Wolfgang Nejdl
  • Assistance: Nam Khanh Tran  (Home Page), 
  • NOTE: Please put "WebScienceCourse" into the subject line when writing an email
  • LINK TO Web Science 2014


  • Lecture: Tuesdays 15:00 - 16:30
  • Room: Multimedia-Hörsaal (3703 - 023), Appelstraße 4, 30167 Hannover

Oral Exam

The oral exam is composed of two parts:

  1. Detailed questions on the papers presented by the student during the course. The presentation of a paper is compulsory!
  2. More general questions on other papers of the same topicand some on other topics. As a guideline you should be able to answer the following questions:

    • What is the problem addressed in the paper?
    • How does the solution look like?
    • How is it evaluated?


    Send an email to Nam to book a time slot for the oral exam. Please notify if the date is not appropriate anymore for you!


    2. OG, Appelstraße 4, 30167 Hannover. Please ring the bell to enter, and wait in the waiting room in the middle of the hall.

    Slide Template

    Please use the provided slide template for your presentation. (powerpoint latex)

Topics for Student Paper Presentation

Below are the topics of Web Science which will be addressed in the course. Each student will have to pick two papers that she/he will present to the other students in the second part of the course. Details about how to subscribe will follow.


Here we collected hints helping you to prepare a good presentation.

Here a standard PowerPoint template for the presentation, here the Latex version. This template is not mandatory! Please feel free to use your own designs. Here is a good example for a student work from last year.


Send a mail to Nam with the following details:

  • At least 2 papers that you wish to present.
  • If there is a laps of time during the semester lecture period when you absolutely cannot present, please mention this in the mail.
  • If there is a period when you would preferably present, please also mention this.

Note that we try to take into account the following criteria when attributing the one paper which students will present:

  • Papers will be assigned to students as soon as possible according to the first come first served policy.
  • The exact presentation date will be definitely fixed as soon as 2 papers about a same topic has been attributed.
  • Presentations about a same topic should take place the same day.
  • As far as possible a similar number of paper per topic would be presented.
  • Each topic should at least have one paper presented.

Available Topic Papers

Below are papers available to you for presenting, grouped by topics. Papers already attributed to a student are marked as such. Papers from topics of which two papers are already attributed are no more available for presentation. 


1. Exploring Web Archives: Challenges and Solutions

  • Alonso, O.; Strötgen, J.; Baeza-Yates, R.; Gertz, M.: Temporal information retrieval: Challenges and opportunities. Temporal Web Analytics Workshop (TWAW), WWW, Hyderabad, India, 2011. (selected by Vaibhav) PDF
  • Weikum, G.; Ntarmos, N.; Spaniol, M.; Triantafillou, P.; Benczúr, A.; Kirkpatrick, S.; Rigaux, P.; Williamson, M.: Longitudinal analytics on web archive data: It’s about time. CIDR, Asilomar, California, 2011. (selected by Hangyan Zheng) not presented PDF
  • Salaheldeen, H.; Nelson, M. L.: Losing My Revolution: How Many Resources Shared on Social Media Have Been Lost? JCDL, Washington, USA, 2012. (selected by Vaibhav) PDF
  • George Papadakis, Georgia Koutrika, Themis Palpanas, Wolfgang Nejdl: Meta-Blocking: Taking Entity Resolutionto the Next Level. IEEE Trans. Knowl. Data Eng. 26(8): 1946-1960 (2014). PDF
  • Nattiya Kanhabua, Roi Blanco, Kjetil Nørvåg: Temporal Information Retrieval. Foundations and Trends in Information Retrieval 9(2): 91-208 (2015). (selected by Hangyan Zheng) not presented PDF

2. Crowdsourcing - Challenges and Opportunities in Web Science

  • The Communication Network Within the CrowdMing Yin, Mary Gray, Siddharth Suri and Jennifer Wortman Vaughan. WWW 2016. (selected by Yunan Liu) PDF
  • The Knowledge Accelerator: Big Picture Thinking in Small PiecesNathan Hahn, Joseph Chee Chang, Ji Eun Kim and Aniket Kittur. CHI 2016. (selected by Umed Murodzoda) PDF
  • Toward a Learning Science for Complex Crowdsourcing TasksShayan Doroudi, Ece Kamar, Emma Brunskill and Eric Horvitz. CHI 2016. (selected by Imaad Mohamed Khan) PDF
  • Psychological maps 2.0: A web engagement enterprise starting in londonD. Quercia, J. P. Pesce, V. Almeida, and J. Crowcroft. WWW 2013. (selected by Imaad Mohamed Khan) PDF
  • Supporting Collaborative Writing with MicrotasksJaime Teevan, Shamsi T Iqbal, and Curtis von Veh. CHI 2016. (selected by Umed Murodzoda) PDF
  • Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered SystemsDjellel Eddine Difallah, Gianluca Demartini and Philippe Cudré-Mauroux. WWW 2016. (selected by Yunan Liu) PDF

3. Mining the Social Web

  • Pennacchiotti, Marco, and Ana-Maria Popescu. "Democrats, republicans and starbucks afficionados: user classification in twitter." Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2011. (selected by Jwan Alhussein) PDF
  • Laufer, Paul, et al. "Mining cross-cultural relations from Wikipedia-A study of
    31 European food cultures."
    arXiv preprint arXiv:1411.4484 (2014). (selected by Jwan Alhussein) PDF
  • Conover, Michael, et al. "Political Polarization on Twitter." ICWSM 133 (2011):
    89-96. (selected by Meriem Haltiti) not presented PDF
  • Weber, Ingmar, Venkata Rama Kiran Garimella, and Asmelash Teka. "Political
    hashtag trends."
    Advances in Information Retrieval. Springer Berlin Heidelberg,
    2013. 857-860. (selected by Meriem Haltiti) not presented PDF

4. Time-Aware Contextualization

  • L. Ratinov, D. Roth, D. Downey, and M. Anderson. 2011. Local and Global Algorithms for Disambiguation to Wikipedia. In Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL). PDF
  • Lee, Joonseok and Fuxman, Ariel and Zhao, Bo and Lv, Yuanhua. Leveraging Knowledge Bases for Contextual Entity Exploration. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015. (selected by Sebastian Holzki) PDF
  • Nam Khanh Tran, Andrea Ceroni, Nattiya Kanhabua and Claudia Niederée. Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization. Proceedings of the Eighth International Conference on Web Search and Data Mining (WSDM'15), Shanghai, China, February, 2015 (selected by Sebastian Holzki) PDF

5. Evaluating Information Retrieval Systems

  • Clarke, Charles LA, et al. "Novelty and diversity in information retrieval evaluation." Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2008.  (selected by Sergei) PDF
  • Smucker, Mark D., and Charles LA Clarke. "Time-based calibration of effectiveness measures." Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. ACM, 2012. PDF
  • Jiang, Jiepu, and James Allan. "Adaptive Effort for Search Evaluation Metrics." ECIR 2016  (selected by Sergei) PDF

6. Search as Research - Comparing Search Engines An Experiment in Four Different Countries 

  • Rogers R., Jansen F., Stevenson M. and Weltevrede E., "Mapping Democracy," Global Informaton Society Watch 2009, Association for Progressive Communications and Hivos, 2009, 47-57. (selected by Indira Ishmurzina) PDF
  • Stefano Parmesan, Ugo Scaiella, Michele Barbera, and Tatiana Tarasova. 
    Dandelion: from raw data to data GEMs for developers. In  Proceedings of the 2014 International Conference on Developers - Volume 1268 (ISWC-DEV'14), Ruben Verborgh and Erik Mannens (Eds.), Vol. 1268. CEUR-WS.org, Aachen, Germany, Germany, 1-6. (selected by Jayanth K.R Gundam) PDF
  • M. A. Hearst and D. Rosner, "Tag Clouds: Data Analysis or Social Signaller?," in Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS'08), 2008. (selected by Jayanth K.R Gundam) PDF
  • Dat Ba Nguyen, Johannes Hoffart, Martin Theobald, Gerhard Weikum: AIDA-light: High-Throughput Named-Entity DisambiguationLDOW 2014 (selected by Indira Ishmurzina) PDF
  • Rakesh Agrawal, Behzad Golshan, Evangelos Papalexakis (2016) "Overlap in the Web Search Results of Google and Bing" The Journal of Web Science Vol 2, No 1 (2016) PDF (selected by Aram Aljammal)
  • Aniko Hannak, Piotr Sapiezynski, Arash Molavi Kakhki, Balachander Krishnamurthy, David Lazer, Alan Mislove, Christo Wilson (2013). Measuring personalization of web search. WWW 2013: 527-538 PDF (selected by Aram Aljammal)

7. Event Detection 

  • Foley, John and Bendersky, Michael and Josifovski, Vanja. Learning to Extract Local Events from the Web, SIGIR’15 (selected by Aliaksei Antonau) PDF
  • Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Jong-Hoon Oh. Generating Event Causality Hypotheses through Semantic Relations, AAAI’15  (selected by Aliaksei Antonau) PDF
  • Jatowt, Adam and Antoine, Emilien and Kawai, Yukiko and Akiyama, Toyokazu. Mapping Temporal Horizons: Analysis of Collective Future and Past related Attention in Twitter, WWW’15  (selected by Niklas) not presented PDF
  • Zhao, Liang and Sun, Qian and Ye, Jieping and Chen, Feng and Lu, Chang-Tien and Ramakrishnan, Naren. Multi-Task Learning for Spatio-Temporal Event Forecasting, KDD’15 (selected by Niklas) not presented PDF

8. Semantic Text Mining

  • Barrio, Pablo and Gravano, Luis and Develder, Chris. Ranking Deep Web Text Collections for Scalable Information Extraction, CIKM 2015 (selected by Jakob) not presented PDF
  • Graus, David and Tsagkias, Manos and Weerkamp, Wouter and Meij, Edgar and de Rijke, Maarten. Dynamic Collective Entity Representations for Entity Ranking, WSDM 2016 (selected by Bin LI) PDF
  • Yahya, Mohamed and Barbosa, Denilson and Berberich, Klaus and Wang, Qiuyue and Weikum, Gerhard. Relationship Queries on Extended Knowledge Graphs, WSDM 2016 (selected by Jakob) not presented PDF
  • Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, and Xifeng Yan. Table Cell Search for Question Answering, WWW 2016 (selected by Bin LI) PDF

Detailed Schedule  



  • Introduction to Web Sciences (Prof. Dr. Wolfgang Nejdl)
  • Slides PPT



  • Web Science @ L3S + Exploring Web Archives: Challenges and Solutions (Prof. Dr. Wolfgang Nejdl)
  • Slides PPT + Part2



  • Crowdsourcing - Challenges and Opportunities in Web Science (Ujwal Gadiraju)
  • Slides PPT
  • Mining the Social Web (Asmelash Teka)
  • Slides PPT



  • Time-Aware Contextualization (Nam Khanh Tran)
  • Slides PPT
  • Evaluating Information Retrieval Systems (Jaspreet Singh)
  • Slides PPT



  • Search as Research - Comparing Search Engines An Experiment in Four Different Countries (Ivana Marenzi)
  • Slides PPT + Reference



Topics and papers selected by students:

 1. June 7

  • Niklas Busch (Skip)
  • Sebastian Holzki

 2. June 14

  • Indira Ishmurzina
  • Sergei Kostousov
  • Evelina Zhuravleva (not yet: present)

3. June 21

  • Bin Li
  • Jakob Riga (Skip)
  • Aram Aljammal

4. June 28

  • Jwan Alhussein
  • Imaad Mohamed Khan
  • Hangyan Zheng (Skip)

5. July 5

  • Yunan Liu
  • Meriem haltiti (not yet: register & present)
  • Aliaksei Antonau

6. July 12

  • Vaibhav 
  • Umed Murodzoda
  • Jayanth Kumar Reddy Gundam


Final Oral Exam