Einführungsveranstaltung Seminar Web Science und Labor Web-Technologien

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1 Einführungsveranstaltung Seminar Web Science und Labor Web-Technologien Fachgebiet Wissensbasierte Systeme/Forschungszentrum L3S 16. Oktober 2015

2 Seminar Web Science Wer hat Interesse am Seminar? Bitte Name und Wunschthema in Liste eintragen Kontakt: Ablauf with your mentor, you search, select, read and discuss one or more recent conference papers at the end of the semester you give a minute presentation (including questions) on the selected papers in addition, you should attend the L3S research seminars, which are usually on Friday afternoon at 2:00 PM in the Multimedia Room of the Appelstraße 9A, 15th floor (they are about every two weeks, if you are sure that you will attend the seminar, please subscribe to the mailinglist https: //

3 Labor Web Technologien und Bachelor-/Master-Themen Agenda Ablauf des Labors Vorstellung von Themen siehe auch Verteilung von Themen

4 Ablauf individuelle Themen Bearbeitung einzeln oder in Kleingruppen regelmäßiger Kontakt zum Betreuer 6CP 180 Stunden Arbeitsaufwand Abschluss: Fragen? d.h., bei 14 Wochen pro Semester ca. 13 Stunden/Woche kurze schriftliche Dokumentation (max. 5 Seiten) Präsentation (5 Minuten)

5 Helge Holzmann Online Web-Archive-Search based on Twitter Labor Web Technologien JavaScript! Contact:

6 Andrea Ceroni Automatic Event Validation (Laboratory) Personal Photo Selection (Laboratory/Master) Contact:

7 Andrea Ceroni Automatic Event Validation Event Validation: determining whether an event occurs in a document or corpus (Kim Clijsters, Li Na, Melbourne) on [ to ]??? Recently we have automatized event validation, proposing a supervised model to predict the occurrence of events in a non-annotated corpus [1] Web Laboratory Goal: build a web user interface to showcase the method: Specifying events Retrieving web pages Applying automatic event validation Showing results [1] A. Ceroni, U. K. Gadiraju, M. Fisichella. Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text. In CIKM 2015.

8 Andrea Ceroni Personal Photo Selection (1) Photo taking is effortless and tolerated nearly everywhere We end up with hundreds of photos taken during one event (e.g. holiday trip) Recently, we have proposed a method to automatically select most important photos from personal collections [1], to keep them enjoyable and accessible Web Laboratory Goal 1: build a web user interface to showcase the method: Importing photo collections Performing automatic selections Allowing the user to revise the selection Master Thesis Web Laboratory If interested, we can think about possible thesis on the topic Goal 2: build a web user interface to acquire labeled data: Uploading photo collection Browsing them **Manually** selecting important photos [1] A. Ceroni, V. Solachidis, C. Niederée, O. Papadopoulou, N. Kanhabua, V. Mezaris. To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections. In ICMR 2015

9 Andrea Ceroni Personal Photo Selection (2) Recent work have been conducted on automatically attaching tags and textual captions to images, using deep learning [1,2] This information can be incorporated in the selection model Some code has been made publicly available by Stanford University [3] Web Laboratory Goals: - provide re-use of the available code as a black box - Integrate the code in the selection model [1] A. Karpathy, F. Li. Deep Visual-Semantic Alignments for Generating Image Descriptions. In CoRR [2] J. Fu, T. Mei, K. Yang, H. Lu, Y. Rui. Tagging Personal Photos with Transfer Deep Learning. In WWW [3]

10 Ujwal Gadiraju Inducing competence-based self-selection of microtasks in the Crowd ABSTRACT: One of the primary concerns in paid microtask crowdsourcing systems is that of quality and reliability of the results produced. In this work, we aim to improve the effectiveness of the crowdsourcing paradigm (in terms of the quality of results produced, turnover time of the task) by inducing competence-based self-selection of microtasks among crowd workers. This means that workers would only work on the tasks that they believe they can successfully complete based on their competence/skills. VISION: In order to ensure that workers refrain from participating in microtasks that are beyond their competence, they first need to be aware of their limitations. By providing workers with an assessment of their competence in particular microtasks, we hypothesize that workers can better select microtasks which are suitable to their competence. Crowdsourcing marketplaces can greatly benefit from this, by training their workforce to progress towards higher competence and improved reputation. This in turn would help workers to qualify for a larger spectrum of tasks, resulting in a greater turnover for workers. Laboratory or Bachelor/Master thesis, Contact: gadiraju@l3s.de

11 Gerhard Gossen Evaluation of Crawler Queues Laboratory Web Technologies or Master Thesis Contact:

12 Asmelash Teka Hadgu Web Application for Exploring Scholarly Communication Ranking Scholarly Articles Labor Web Technologien Contact:

13 Asmelash Teka Hadgu Web Application for Exploring Scholarly Communication With the sheer amount of scientific publications coming out these days, it is easy to miss out relevant publications. This is hard because it is not easy to track what is being published by going into different digital libraries. The aim of this project is to design an adaptive web application that brings an enjoyable experience to explore scientific articles (mainly titles, abstract, authors, Twitter mentions, etc.). Core functionalities: browse recent/popular/seminal scientific articles show related entities (abstract, author(s), venue, related articles) browse publications by user browse tweets mentioning articles explore other related tweets Provide a REST API for other apps to leverage data. Preferred Tools: Python, Javascript (D3.js), HTML5 What s in it for you? Accelerated learning through coding A potential for a large scale application Demo publication

14 Asmelash Teka Hadgu Ranking Scholarly Articles The goal of this project is to compute the query-independent importance of scholarly articles, using a huge academic graph. In particular, we re interested in developing novel methods that give the best static rank values (e.g., better than PageRank) for scientific articles in a machine learning to rank framework by generate features that tell good (poor) quality papers. Examples: Consider reputation of venues Weighted citations Leveraging social signals (mentions on Twitter) Tools: Python, R, or Scala. Spark is a plus What s in it for you? Dealing with web scale academic graph data Potential for a publication

15 Christoph Hube social networks and dynamic graphs (Laboratory/Bachelor/Master) event detection and prediction using stream data for the financial domain (Laboratory/Bachelor/Master) Contact:

16 Christoph Hube Qualimaster o European Project, runs , qualimaster.eu o Real Time Stream Data Analysis (esp. in the financial domain) o Example Tasks: Implement an Algorithm for Event Detection/Event Prediction (Laborprojekt) Create an Application for Dynamic Graphs (Bachelor, Master, ITIS)» Contact: hube@l3s.de QualiMaster Project, GA Meeting, September

17 Robert Jäschke Themen für das Labor Web Technologien im Umfeld von BibSonomy ( 1. verteilte Batch-Infrastruktur für Nutzerstatistiken (Java) 2. Anbindung für Jekyll-Scholar (Ruby) 3. Add-On für GoogleDocs (JavaScript) 4. Import von Publikationsmetadaten aus ORCID (Java) Bachelor- bzw. Masterarbeit: 1. Zeitliche Klassifikation von archivierten Webseiten siehe Kontakt:

18 Robert Jäschke

19 Philipp Kemkes, Ivana Marenzi, Zeon Trevor Fernando Integration of an online text editor (like Etherpad) into Learnweb Laboratory Project or Bachelor/Master thesis The aim of this project/thesis is to replace Google docs in Learnweb. We are looking for a feature rich text editor that allows real-time collaboration and extensive logging. First the student should compare existing open source solutions [1]. Finally the selected software must be integrated into Learnweb [2] this includes a single sign on mechanism, an interface for the creation and deletion of documents and aggregation of usage logs. Optional topic extension: Implementation of a general solution to integrate collaboration tools based on sandstorm.io [1] [2] Contact: kemkes@l3s.de, marenzi@l3s.de, fernando@l3s.de

20 Philipp Kemkes, Ivana Marenzi, Zeon Trevor Fernando 1

21 Philipp Kemkes, Ivana Marenzi, Zeon Trevor Fernando LearnWeb Project Integration of Open Source Feature Rich Text Editor Editor Features Real-time collaboration support Logging capabilities Ease of integration Ease of maintenance Single sign-on mechanism Creation and deletion of documents Etherpad Contact: Dr Ivana Marenzi 2

22 Tuan Tran Scalable Ad-hoc Entity Linking of Wikipedia Revision Using Apache Spark and Hedera This project aims at building a large scale system that can efficiently extract entities from Wikipedia Revision History Dataset, using Apache Spark and Hedera frameworks. The student(s) will implement state-of-the-art algorithms of entity linking and apply in large scale (650 GB in.bz2 compression), taking into account time constraints and memory requirements. These algorithms typically rely on graph-based methods, optimizing the coherence between nodes as well as the evolving of their attributes, as information are updated in Wikipedia over time. The student(s) will have an opportunity to gain hands-on experience with big data experts, and to work with the big computing cluster in L3S. The project will benefit several L3S projects (Alexandria, Eumssi, etc.), and will target a scientific publication beginning of next summer. Contact: ttran@l3s.de

23 Tu Ngoc Nguyen ehumanities Toolbox web laboratory or ITIS project Contact:

24 Überblick (L = Laboratory, B = Bachelor, M = Master) Andrea Ceroni (ceroni@l3s.de) 1. Automatic Event Validation (L) / 2. Personal Photo Selection (L, M) Ujwal Gadiraju (gadiraju@l3s.de) Competence in Crowd Microtasks (L, B, M) Asmelash Teka Hadgu (teka@l3s.de) 1. Web Application for Exploring Scholarly Communication (L) 2. Ranking Scholarly Articles (L) Helge Holzmann (holzmann@l3s.de): Online Web-Archive-Search w Twitter (L) Christoph Hube (hube@l3s.de) 1. social networks and dynamic graphs (L, B, M) 2. event detection+prediction with streams for financial data (L, B, M) Robert Jäschke (jaeschke@l3s.de) 1. verteilte Batch-Infrastruktur für Nutzerstatistiken (L) 2. BibSonomy-Anbindung für Jekyll-Scholar (L) 3. BibSonomy-Add-On für GoogleDocs (L) 4. Import von Publikationsmetadaten aus ORCID (L) 5. Zeitliche Klassifikation von archivierten Webseiten (B, M) Philipp Kemkes, Ivana Marenzi, Zeon Trevor Fernando (kemkes@l3s.de) 1. Integration of an online text editor into Learnweb (L, B, M) Tu Ngoc Nguyen (tunguyen@l3s.de): ehumanities Toolbox (L, M) Gerhard Gossen (gossen@l3s.de): Evaluation of Crawler Queues (L, M) Tuan Tran (ttran@l3s.de) 1. Scalable Ad-hoc Entity Linking of Wikipedia Revision (M)

25 Verteilung der Themen kurzer Überblick per Handzeichen falls ein Thema überlaufen: bitte einigen Eintragen in Liste: Thema + Alternativthema auswählen selbständig Betreuer kontaktieren Deadline: Freitag,