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
先有格式，
支持有限的数据格式
关注数据的稳定性
需要的时候集中建成
面向应用主题

4. Query1：Please tell me all the information
in my dataspace about a conference
Query2: please tell me the s and
persons on a event
先有格式，
支持有限的数据格式
关注数据的稳定性
需要的时候集中建成
面向应用主题

5. Description of dataspace
淡化形式
开放的，支持多种不同的数据格式
强调数据的可关联性和可演化性
具有Pay-As-You-Go 特性
面向实体需要

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 proposal 1. Read related papers 2
Our work and proposal 1. Read related papers 2. 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. Proposal for research of our group.

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

19. Motivation & Challenge
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 H A N O Y K T