Lehrpersonen

Dozent(in)

• Dr.-Ing. Dipl.-Inform. Sascha Kriewel
• Dipl.-Inform. Thomas Beckers
• Dr.-Ing. Dipl.-Inform. Matthias Jordan
• Dr.-Ing. Dipl.-Inform. Sebastian Dungs
• Dipl.-Inform. Marc Lechtenfeld
• Dr.-Ing. Dipl.-Inform. Vu Tran
• Melikka Khosh Niat, M.A. CL

Formalia

Zielgruppe

• Angewandte Informatik Bachelor mit 2 Kreditpunkten
• Angewandte Informatik Master mit 4 Kreditpunkten
• DAI Hauptstudium mit 4 Kreditpunkten : Bereich D
• Komedia Master

Beschreibung

Das Thema dieses Seminars ist Personal Information Management (PIM). Dieses Forschungsgebiet beschäftigt sich damit, wie Menschen (insbesondere digitale) Informationen sammeln oder erschaffen, diese speichern, organisieren und pflegen, wie sie darin suchen oder diese mit anderen Personen teilen - sowie mit den Werkzeugen und Technologien, die sie dazu nutzen. Häufige Probleme sind die Zersplitterung von Information über mehrere Werkzeuge, Kollektionen oder Geräte, sowie die geeignete Organisation häufig großer persönlicher Informationsbestände zum Zwecke des Wiederfindens und der Nutzung in Aufgaben.

Personal Information Management hat Bezüge zu Kognitionspsychologie, Mensch-Computer-Interaktion, KI-Forschung, Informations- und Wissensmanagement, Information Retrieval und Informationswissenschaft (Jones, 2007).

Einen Überblick über das Thema gibt das Kapitel "Personal Information Management" von William Jones im Annual Review of Information Science and Technology (Volume 41, Issue 1, pages 453-504, 2007).

Bemerkungen

Von jedem Teilnehmer des Seminars wird erwartet, einen eigenen, etwa 40-minütigen Vortrag zu einem aus der Themenliste zu wählenden Thema vorzubereiten und im Rahmen des Blockseminars zu halten. Der Vortrag kann auf Deutsch oder Englisch gehalten werden. Alle Teilnehmer sollen sich zudem an Diskussionen zu den Vortragsthemen beteiligen.

Im Anschluss soll eine schriftliche Ausarbeitung (in deutscher oder englischer Sprache) erstellt werden, bei der auch auf Anmerkungen zum Vortrag aus dem Blockseminar eingegangen werden sollte. Die Ausarbeitung soll keine bloße Zusammenfassung oder Übersetzung des zugrundeliegenden Aufsatzes darstellen, sondern die vorgestellte Arbeit in einen Zusammenhang einordnen, sowie Vor- und Nachteile der betrachteten Architektur oder Methode herausarbeiten.

Vortragsthemen

Einführung in PIM

1. Geschichte und Psychologie des PIM (MKo, BAI)

• V. Bush (1945). As we may think. Atlantic Monthly (July).
• Malone, T.W. (1983). How do people organize their desks: implications for the design of office information systems. ACM Transactions on Office Information Systems, 1 (1):99-112.
• Barreau, D.K. and Nardi, B. (1995). Finding and reminding: file organization from the desktop. SIGCHI Bulletin, 27(3):39-43.
• Lansdale, M. (1988). The psychology of personal information management. Applied Ergonomics, 19 (1):55-66.

2. Werkzeuge für PIM (BAI, MKo)

• Kljun, M. and Dix, A. (2010). PIM Research Protoypes Ideas and What Has Been Transferred to Mainstream Software. Technical report. Lancaster University.
• Whittaker, S., Belloti, V., and Gwizdka, J. (2006). Email in personal information management. Communications of the ACM, 49 (1):68-73.
• Kelly, D (2006). Evaluating personal information management behaviors and tools. Communications of the ACM, 49 (1):68-73.
• A list of Personal Information Management prototype tools - what has been built so far
• List of personal information managers

3. Mobiles PIM (BAI, MKo)

• Leino, J. and Finnber, S. (2010) The times they are a-changin': mobile PIM is leaving the paper trail behind.
• Zhou, L., Mohammed, A. S. and Zhang, D. (2012). Mobile personal information management agent: Supporting natural language interface and application integration. Information Processing and Management: an International Journal , Volume 48 Issue 1
• Lindroth, T. and Bergquist, M. (2008). Breadcrumbs of interaction: situating personal information management. NordiCHI '08 Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
• Myers, R. and Zapata, E. (2007) Linking information for mobile use. Mobility '07: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology

4. Fragmentierte Information: PIM mit multiplen Geräten / Werkzeugen (BAI, MKo)

• Karger, D. and Jones, W. (2006). Data unification in personal information management. Communications of the ACM - Personal information management. Volume 49 Issue 1, January 2006
• Dearman, D. and Pierce, J. S. (2008). It's on my other computer!: computing with multiple devices. Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, CHI '08 767-776
• Boardman, R., Sasse, M.A., Spence,B. and Angela, M. (2002). Life Beyond the Mailbox: Cross-Tool Perspective On Personal Information Management. In CSCW 2002 Workshop: Redesigning Email for the 21st Century
• Tungare, M. and Pérez-Quiñones, M. A. (2009). Mental workload in multi-device personal information management. Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, CHI EA '09 3431-3436
• Drexel University talk on XooML in support of a vision for PIM, April 6, 2010. Many tools in support of one unifying organization of personal information.
• Cai, Y., Dong, X. L. and Halevy, A. (2005). Personal information management with SEMEX. Proceedings of the 2005 ACM SIGMOD international conference on Management of data, SIGMOD '05 921-923

Organisation und Klassifizierung

5. Organisation von Bookmarks: von automatischer Klassifikation zu sozialen Bookmarkdiensten (MKo, MAI, DAI)

• automatische Klassifikation und Organisation
  • Maarek, Y. S. and Ben Shaul, I. Z. (1996). Automatically organizing bookmarks per contents. Fifth International World Wide Web Conference May 6-10, 1996, Paris, France
  • Kokosis, P., Krikos, V., Stamou, S. and Christodoulakis, D. (2005). HiBO: a system for automatically organizing bookmarks. JCDL '05: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
• persönliches Bookmark-Management
  • Karousos, N., Panaretou, I., Pandis, I. and Tzagarakis, M. (2002). Babylon bookmarks: a taxonomic approach to the management of WWW bookmarks. MIS'02 Proceedings of the 2002 international conference on Metainformatics
  • Abrams, D., Baecker, R. and Chignell, M. (1998). Information archiving with bookmarks: personal Web space construction and organization. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI '98), Clare-Marie Karat, Arnold Lund, Joëlle Coutaz, and John Karat (Eds.). ACM Press/Addison-Wesley Publishing Co., 41-48
• soziales Bookmark-Management
  • Benz, D., Tso, K. and Schmidt-Thieme, L. (2007). Supporting collaborative hierarchical classification: Bookmarks as an example. Computer Networks: The International Journal of Computer and Telecommunications Networking. Volume 51 Issue 16
  • Benz, D., Hotho, A., Jäschke, R., Krause, B., Mitzlaff, F., Schmitz, C. and Stumme, G. (2010). The social bookmark and publication management system bibsonomy. The VLDB Journal - The International Journal on Very Large Data Bases archive. Volume 19 Issue 6

6. Automatische Klassifizierung von E-Mails (MAI, DAI)

• Koprinska, I., Poon, J., Clark, J. and Chan, J. (2007). Learning to classify e-mail. In: Information Sciences 177 (2007), May, Nr. 10, S. 2167-2187
• Bekkerman, R., McCallum, A., Huang, G. (2004). Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora. University of Massachusetts, CIIR. 2004 (IR-418). Forschungsbericht
• Crawford, E., Koprinska, I. and Patrick, J. (2004). Phrases and Feature Selection in E-Mail Classification. In: Proceedings of the 9th Australasian Document Computing Symposium. December 2004
• Brutlag, J. D. and Meek, C. (2000). Challenges of the Email Domain for Text Classification. In: Langley, Pat (Hrsg.): Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Morgen Kaufmann, 2000, S. 103-110
• Cohen, W. W., Carvalho, V. R. and Mitchell, T. M. (2004). Learning to Classify Email into Speech Acts. In: Lin, Dekang (Hrsg.) ; Wu, Dekai (Hrsg.): Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, July 2004, 309-316
• Bennett, P. N. and Carbonell, J. (2005). Detecting action-items in e-mail. In: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, August 2005, 585-586
• Nenkova, A. and Bagga, A. (2003). Email Classification for Contact Centers. In: SAC '03: Proceedings of the 2003 ACM Symposium on Applied Computing. ACM Press, 2003. 789-792
• Beckers, T., Frommholz, I. and Bönning, R. (2009). Multi-facet Classification of E-mails in a Helpdesk Scenario. Proc. of the Information Retrieval 2009 Workshop at LWA 2009

7. Organisation von E-Mails (MKo)

• Gwizdka, J. (2004). Email task management styles: the cleaners and the keepers. CHI EA '04 CHI '04 extended abstracts on Human factors in computing systems
• Whittaker, S. and Sidner, C. (1996). Email overload: Exploring personal information management of email. Proc. of CHI 1996, 276-283.
• Fisher, D., Brush, A.J., Gleave, E. and Smith, M.A. (2006). Revisiting Whittaker & Sidner's 'email overload' ten years later. Proc. of CSCW 2006, 309-312.
• Whittaker, S., Matthews, T., Cerruti, J., Badenes, H. and Tang, J. (2011). Am I wasting my time organizing email?: a study of email refinding. CHI '11 Proceedings of the 2011 annual conference on Human factors in computing systems

8. Organisationsstrategien für persönliche Informationssammlungen (MKo)

• Sease, R., McDonald, D. W. (2011). The organization of home media. ACM Transactions on Computer-Human Interaction (TOCHI). Volume 18 Issue 2, June 2011
• Rodden, K. and Wood, K. R. (2003). How do people manage their digital photographs?. CHI '03 Proceedings of the SIGCHI conference on Human factors in computing systems
• Hicks, B. J., Dong, A., Palmer, R., and McAlpine, H. C. (2008). Organizing and managing personal electronic files: A mechanical engineer's perspective. ACM Transactions on Information Systems (TOIS). Volume 26 Issue 4, September 2008
• Kljun, M., Dix, A. and Solina, F. (2009). A study of a crosstool information usage on personal computers: how users mentally link information relating to a task but residing in different applications and how importance and type of acquisition affect this. Technical report, Lancaster University
• Boardman, R. and Sasse, M. A. (2004) "Stuff goes into the computer and doesn't come out": a cross-tool study of personal information management. Proceedings of the SIGCHI conference on Human factors in computing systems. CHI '04, 583-590

9. Filterung von Informationskanälen: Twitter, RSS, E-Mail, etc. (MAI, DAI)

• Tseng, C. and Ng, P. (2007). Precisiated information retrieval for RSS feeds. Information Management & Computer Security, Vol. 15 Iss: 3,184-200
• Sriram, B., Fuhry, D., Demir, E., Ferhatosmanoglu, H. and Demirbas, M. (2010). Short text classification in twitter to improve information filtering. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10). ACM, 841-842.
• Rose, I., Murty, R., Pietzuch, P., Ledlie, J., Roussopoulos, M. and Welsh, M. (2007). Cobra: Content-based Filtering and Aggregation of Blogs and RSS Feeds. 4th USENIX Symposium on Networked Systems Design & Implementation
• Chen, J., Nairn, R., Nelson, L., Bernstein, M. and Chi, E. (2010). Short and tweet: experiments on recommending content from information streams. Proceedings of the 28th international conference on Human factors in computing systems
• Blanzieri, E. and Bryl, A. (2006). A Survey of Learning-based Techniques of Email Spam Filtering. Artificial Intelligence Review, Volume 29, Number 1, 63-92,
• Caruana, G. and Li, M. (2012). A Survey of Emerging Approaches to Spam Filtering. ACM Comput. Surv. 44, 2, Article 9, http://doi.acm.org/10.1145/2089125.2089129
• Segal, R: (2007). Combining Global and Personal Anti-Spam Filtering. Proceedings of the 4th Conference on E-mail and Anti-Spam (CEAS)

Suche

10. Desktop-Suche: tracker, Beagle, Google Desktop Search, ...? (MKo, MAI, DAI)

• Cutrell, E., Dumais, S. and Teevan, J. (2006). Searching to eliminate personal information management. Communications of the ACM - Personal information management. Volume 49 Issue 1, January 2006
• Bergman, O., Beyth-Marom, R., Nachmias, R., Gradovitch, N. and Whittaker, S. (2008). Improved search engines and navigation preference in personal information management. ACM Trans. Inf. Syst. September 2008, 26(4): 20:1-20:24
• Systeme
  • Minack, E., Paiu, R., Costache, S., Demartini, G., Gaugaz, J., Ioannou, E. and Nejdl, W. (2010). Leveraging personal metadata for Desktop search: The Beagle++ system. In: Web Semantics: Science, Services and Agents on the World Wide Web. Volume 8, Issue 1, March 2010, Pages 37-54
  • Chen, J., Guo, H., Wu, W. and Xie, C. (2009). Search your memory ! - an associative memory based desktop search system. SIGMOD '09 Proceedings of the 35th SIGMOD international conference on Management of data
  • Chen, J., Guo, H., Wu, W. and Wang, W. (2011). iMecho: a context-aware desktop search system. SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
  • Tracker

11. Ranking in Desktop-Suche (MAI, DAI)

• Chirita, P.-A. and Nejdl, W. (2006). Analyzing user behavior to rank desktop items. SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
• Gaugaz, J., Costache, S., Chirita, P.-A., Firan, C and Nejdl, W. (2008). Activity Based Links as a Ranking Factor in Semantic Desktop Search. LA-WEB '08 Proceedings of the 2008 Latin American Web Conference
• Cohen, S., Domshlak, C. and Zwerdling, N. (2008). On ranking techniques for desktop search. In: ACM Transactions on Information Systems (TOIS). Volume 26 Issue 2, March 2008
• Kim, J. and Bruce Croft, W. (2010). Ranking using multiple document types in desktop search. SIGIR '10 Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

12. "Keeping Found Things Found" (MKo)

• Jones, W., Bruce, H. and Dumais, S. (2001). Keeping Found Things Found on the Web. CIKM'01: Proceedings of the 2001 ACM CIKM 10th International Conference on Information and Knowledge Management
• Jones, W., Dumais, S. and Bruce, H. (2002). Once found, what then? A study of "keeping" behaviors in personal use of Web information. In E. G. Toms (ed.) ASIST 2002: Proceedings of the 65th ASIST Annual Meeting
• Jones, W., Bruce, H. and Dumais, S. (2003). How do people get back to information on the Web? How can they do it better?. In INTERACT 2003: Proceedings of the 9th IFIP TC13 International Conference on Human-Computer Interaction.
• Bruce, H., Jones, W. and Dumais, S. (2004). Information behavior that keeps found things found. Information Research

13. Refinding für Suchergebnisse (MKo)

• Teevan, J. (2008). How people recall, recognize, and reuse search results. ACM Trans. Inf. Syst. September 2008, 26(4): 19:1-19:27
• Aula, A., Jhaveri, N. and Käki, M. (2005). Information search and re-access strategies of experienced web users. Proceedings of the 14th international conference on World Wide Web. WWW '05, 583-592
• Bruce, H., Jones, W. Dumais, S. (2004). Keeping and refinding information on the Web: What do people do and what do they need. Proceedings of the American Society for Information Science and Technology, 41(1): 129-137
• Teevan, J. (2007). The re:search engine: simultaneous support for finding and re-finding. Proceedings of the 20th annual ACM symposium on User interface software and technology. UIST '07, 23-32
• Teevan, J. (2006). How people recall search result lists. CHI '06 extended abstracts on Human factors in computing systems. CHI EA '06, 1415-1420

14. Visualisierung von Persönlichen Sammlungen (MKo, MAI, DAI)

• Allgemein
  • Xu, W., Esteva, M., Dott Jain, S. (2010). Visualizing personal digital collections. Proceedings of the 10th annual joint conference on Digital libraries. JCDL '10, 169-172
• E-Mail
  • Viégas, F.B., Golder, S. and Donath, J. (2006). Visualizing email content: portraying relationships from conversational histories. Proceedings of the SIGCHI conference on Human Factors in computing systems. CHI '06, 979-988
  • Zhao, O.J. Ng, T. and Cosley, D. (2012). No forests without trees: particulars and patterns in visualizing personal communication.
• Musiksammlungen
  • Dias, R., Fonseca, M. J. and Goncalves, D. (2012). Music Listening History Explorer - An alternative approach for browsing Music Listening History Habits. Proceedings of the 2012 ACM international conference on Intelligent User Interfaces. IUI '12, 261-264
  • Dias, R. and Fonseca, M. J. (2010). MuVis: an application for interactive exploration of large music collections. MM '10: Proceedings of the international conference on Multimedia. MM '10, 1043-1046
  • Leitich, S. and Topf, M. (2007). Globe of music: Music library visualization using GEOSOM. ISMIR 2007. 167-170
  • Schedl, M. (2006). The comirva toolkit for visualizing music-related data. Technical report, Dep. of Comp. Perception, Johannes Kepler Univ. Linz, June 2006.
  • Stober, S. and Nürnberger, A. (2008). AUCOMA - Adaptive Nutzerzentrierte Organisation von Musikarchiven. In: Fortschritte der Akustik. 547-548

Wissenmanagement

15. Wissensarbeiter und Personal Knowledge Management (MKo, BAI)

• Wright, K. (2005). Personal knowledge management: supporting individual knowledge worker performance. Knowledge Management Research and Practice 3 (3): 156-165
• Razmerita, L., Kirchner, K. and Sudzina, F. (2009), Personal Knowledge Management: The Role of Web 2.0 tools for managing knowledge at individual and organisational levels. Online Information Review 33 (6): 1021-1039
• Pauleen, D. (2009), Personal knowledge management: putting the 'person' back into the knowledge equation. Online Information Review 33 (2): 221-224
• Efimova, L. (2005) Understanding personal knowledge management: A weblog case. Enschede: Telematica Instituut

16. Semantischer Desktop (MKo, MAI, DAI)

• Sauermann, L., Aastrand Grimnes, G., Kiesel, M., Fluit, C., Maus, H., Heim, D., Nadeem, D., Horak, B. and Dengel, A. (2006). Semantic desktop 2.0: the Gnowsis experience. ISWC'06: Proceedings of the 5th international conference on The Semantic Web
• Franz, T., Ansgar, S. and Staab, S. (2009). Are semantic desktops better?: summative evaluation comparing a semantic against a conventional desktop. K-CAP '09: Proceedings of the fifth international conference on Knowledge capture
• Dragan, L., Delbru, R., Groza, T., Handschuh, S. and Decker, S. (2011) Linking semantic desktop data to the web of data. Proceedings of the 10th international conference on The semantic web - Volume Part II. ISWC'11, 33-48
• Aastrand Grimnes, G., Sauermann, L. and Bernardi, A. (2009) The Personal Knowledge Workbench of the NEPOMUK Semantic Desktop. In "The Semantic Web: Research and Applications". Springer
• Sauermann, L., Bernardi, A. and Dengel, A. (2005) Overview and Outlook on the Semantic Desktop. In Proc. of Semantic Desktop Workshop at the ISWC 2005

17. Personal Wikis / Desktop Wikis (MKo, MAI, DAI)

• Völkel, M. and Oren, E. (2006). Personal Knowledge Management with Semantic Wikis. Renaud Delbru Epita Scia 2006 106.
• Kiesel, M. and Sauermann, L. (2005) Towards Semantic Desktop Wikis. In: UPGRADE special issue on "The Semantic Web", Vol. VI, 30-34
• Oren, E. (2005) Semperwiki: a semantic personal wiki. In Proc. of 1st WS on The Semantic Desktop, Galway, Ireland, 2005.
• Völkel, M., Schaffert, S. and Oren, E. (2008). Personal Knowledge Management with Semantic Technologies. Emerging Technologies for Semantic Work Environments Techniques Methods and Applications.
• Dragan, L., Handschuh, S. and Decker, S. (2011). The semantic desktop at work: interlinking notes. I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

Termine

• Vorbesprechung: 10. April, 15 Uhr, Raum LF 261, Folien
• Einführung in Wissenschaftliches Arbeiten: 17. April, 10 - 13 Uhr, Raum: LB 335
• Informationsrecherche
• Ausarbeitung (LaTeX-Vorlage für Ausarbeitung)
• Vortrag
• Thesen des Vortrags: 4. Juni
• Gliederung: 2. Juli
• Vortragsfolien: 3. September
• Blockseminar: 17. September - 19. September, Raum LF 125
• Ausarbeitung:: 30. September

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