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Personal Preservation (WP9 ForgetIT 1st year review)

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Personal Preservation scenarios, requirements & use cases.

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Personal Preservation (WP9 ForgetIT 1st year review)

  1. 1. Concise Preservation by combining Managed Forgetting and Contextualized Remembering
  2. 2. Heiko Maus DFKI WP 9 Presentation Personal Preservation ForgetIT 1st Review Meeting, April 29-30, 2014 Kaiserslautern, Germany
  3. 3. Realize & evaluate the ForgetIT principles for Personal Preservation Leveraging effort for Personal Information Management (PIM) using the Semantic Desktop approach and PoF-Framework ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Objectives of WP Why PIM & Semantic Desktop? Allows to cover daily activities of users for • getting hold of the resources • deriving evidences for preservation value & memory buoyancy • providing further context for remembering by providing benefits for PIM for enabling preservation and reducing required effort
  4. 4. Focus of Year 1 • Identifying scenarios, requirements & use cases • Deriving enabling features from the Semantic Desktop & extending the underlying ontology PIMO (Personal Information Model) • Extending Semantic Desktop and first prototypes/mock-ups • Preparations for evaluations in Year 2 ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Year 1 Focus
  5. 5. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Role in Preserve-or-Forget Architecture Active System
  6. 6. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Role in Preserve-or-Forget Architecture Semantic Desktop preser- vation cloud storage usage assess- ment SD/PoF Adapter forgettingtasks location- based services semantic search desktop & mobile clients & plug-ins PIMO server Archival Information System PoFframeworkservices Preserve-or- Forget (PoF) Middleware Collecting Resources Evidences for MB & PV Contextual information Restoring resources PoF services (e.g., MB & PV computation) forgetting & preservation triggers
  7. 7. PIMO ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Personal Information Model (PIMO) in a nutshell PIMO represent the user‘s mental model as vocabulary for applications Reality C:UsersstainerPictures Costa RicaIMG_4120.jpg Costa Rica 2013Peter Stainer IMG_4120”Things” Vacation is a is a ImagePerson is a Classes
  8. 8. Scenarios & requirements for Personal Preservation (D9.1) • Input from all WPs & influenced from WP 2 survey • Main scenarios  Trips  Events  Reminiscence  Hobbies & Noise (daily activities)  Preservation Prototypes & Mock-ups (D9.2) Extended Semantic Desktop Infrastructure • Embedding first ForgetIT results ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Achievements in Year 1
  9. 9. Covers the travel scenario in WP9 ~1500 real photos from travel and events • most prominently a Costa Rica journey Available as Stainer PIMO • incl. HowTo for installing by everyone • on the ForgetIT testbed Photos annotated by the persons who shot the photos incl. preparation work (travel info, bookmarks) ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Data Set for Personal Preservation: Stainer Data Set
  10. 10. Semantic Desktop used for PIM in daily work at DFKI for over 2 years • “eat-your-own-dog-food” • PIMO concepts & resources (over 10.000) and access log Provides insights and real data for memory buoyancy, preservation values, etc. (input to WP3) ForgetIT-related excerpt at • https://pimo.kl.dfki.de/forgetitsandbox/ ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Evidences for MB calculation from DFKI PIMO running 24/7
  11. 11. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 PIMO-plugin for E-Mail Client
  12. 12. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Extended SemanticFileExplorer with PIMOCloud & PoF- framework SemanticFileExplorer embeds PIMO in Windows Explorer PIMOCloud realizes PIMO-based cloud storage service • Provides API • Access PIMO resources on various devices Interaction with PoF-Framework enables synergetic preservation & managed forgetting of user’s resources on the computer (WP8,WP5)
  13. 13. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Preservation embedded in File System Preserving a file is embedded in the MS Windows Explorer for easy access Restore from the archive embedded in the file system
  14. 14. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Using Memory Buoyancy (MB) for realizing Forgetting MB calculation based on evidences from Semantic Desktop For uncluttering the desktop from unused files by removing them from the file system For uncluttering the PIMO by hiding things assumed to be forgotten
  15. 15. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 PIMORE – PIMO-based Reminiscence Prototype for personal photo organization using the PIMO • for effortless preservation & towards reminiscence Leverage user’s efforts for photo albums to get evidences for • context • relevance Basis for discussion with WP2 for scenarios & evaluation settings.
  16. 16. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 More Personal Information Management with PIMO Task Management Calendar (CalDAV) Address book (CardDAV) Notes • using seed from WP4 Tagging files, webpages, e-mails,… Mobile access
  17. 17. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Demonstration “PIMO in a nutshell” • ..along the DFKI PIMO Memory Buoyancy in PIMO-Infrastructure • ..with WP3 memory buoyancy computation on real usage data from DFKI’s PIMO Forget and Retrieve with PIMOCloud • …using Stainer data set • towards a clutter-free desktop using memory buoyancy http://www.dfki.uni-kl.de/~schwarz/pimo555/pimo5/
  18. 18. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014 Role of the Semantic Desktop components mobile PIMO server archive • Immediate relevant material is available • Recency in model as well as important concepts (hotness function) • Only most recent versions of resources required • Constant swapping/ refreshing (in WLAN) to keep recency is OK • Quick availability of recent & work related material • Broader range of resources: work relevant are available on immediate access (e.g., think of offline requirements); outdated ones are available on request • Clutter of not-relevant stuff is gone, i.e., details can be removed from desktop • “relieve the burden to see everything” • All versions are available upon request • However, over years, detailed material would be condensed, i.e., keep the deliverable but not the versions of the file, not necessary any more (e.g., after 1 year) desktop • Provides access to all material • Condense and compact to get a sharper view • Old versions of files can be deleted & moved to backup/archive • Semantic associations allow to remember & access archived material • Users are able to “pull on strings” to get the information back; like reconstructing a certain event by starting with the impressive building it was located. Userexpectationrecency immediate up to medium-term medium-term long-term Analogytohumanmemory working memory & short-term memory working memory to medium-term memory currently activated episodic and semantic memory working memory & long-term memory, episodic and semantic memory long-term memory and life-time storage
  19. 19. Thank you for your attention!

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