1 / 20

Revolutionizing Data Management: Dataspace Concept

Explore the shift from databases to dataspace, maintaining traditional model advantages while accommodating new data characteristics. Cover PDS/PIM, related work, challenges, and our contributions to dataspace development.

michaelldavis
Download Presentation

Revolutionizing Data Management: Dataspace Concept

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Dataspace: a new concept of data management Li Yukun

  2. Outline • From database to dataspace • PDS/PIM • Related work • Challenge issues • Our work on dataspace

  3. Traditional RDBMS

  4. Query1：Please tell me all the information in my dataspace about a conference Query2: please tell me the emails and persons on a event

  5. Description of dataspace

  6. From Database to Dataspace The advantages of traditional model should be kept. New characters of data should be mapped. Focus

  7. Outline • From database to dataspace • PDS/PIM • Related work on dataspace • Challenge issues • Our work on dataspace

  8. PDS and PIM

  9. Outline • From database to dataspace • PDS/PIM • Related work on dataspace • Challenge issues • Our work on dataspace

  10. Related work on PIM/PDS • Memex——1945 (Vannevar Bush ) • Lifestreams——1996 • From Database to Dataspaces——2005 • SIGIR PIM workshop 2005/2006 • iDM——2006 (JensPeter Dittrich, Marcos Antonio Vaz Salles ) • Indexing dataspace • Resource space model

  11. Outline • From database to dataspace • PDS/PIM • Related work on dataspace • Challenge issues • Our work on dataspace

  12. Challenge issues on the topic INPUT Profile OUTPUT

  13. Challenge issues on the topic Searching\Encountering\keeping\Extraction\ObjectIdentity\Evaluation INPUT Profile OUTPUT

  14. Challenge issues on the topic Model/Index /Store/Query/System INPUT OUTPUT

  15. Challenge issues on the topic INPUT OUTPUT Finding/Refining /Reminding/HCI/QL

  16. Outline • From database to dataspace • PDS/PIM • Related work on dataspace • Challenge issues • Our work

  17. Our work and proposal1. Read related papers2. Survey From Database to dataspace, from for enterprise to for people. (IDKE Report2006) PIM: 一个新的研究焦点(IDKE Report2006)数据空间：一种新的数据管理技术,(计算机通讯, 07.8)张相於毕业论文3. Automatic content extraction from paper of PDF style.4. Proposalfor research of our group.

  18. About the Proposal General Topic: Related technology on Email content management Subtopic: Model of Email content management (classify\content-formalization\Query\importance\urgency) EMIEX: Object extraction based on email content (Personal name\Location name\Event\Time\...). EMSN: Socal network construction and mining on email log Intelligent reminding based on email log (from email to schedule) From email to blog \ chatting\ phone-note log Demo development tasks: • Read papers on content extraction\ personal recommendation \ user profile • Read papers on Email management • Prepare dataset (English email\Chinese email) and classify • Arithmetic and Policy

  19. Motivation & Challenge • Motivation Email has become more popular and play an important role in work and daily life. We can get data for experiment. It has a more formal stytle. It’s characters is similar to Blog\BBS\Chating data. • Challenge IR is a new area to us. Data collection is a hard process. A more detailed plan will be formed later

  20. U N H A O Y K T

More Related