[email protected]
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Web
2008/4/21 3
NBIC
2001-05-11 NSF
2001-12-03 NSF/DOC (79)
32
28
19
2004-03 Converging Technologies Bar Association (CTBA)
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Info
Cogno
Bio
Nano
Enhancing Human
Performance
New Humanbeing
New Industries
New Society
New ApplicationsNew Applications
New SciencesNew SciencesNew Education
2008/4/21 5
1785 1845 1900 1950 1990 1999 2020
60 55 50 40 30
2008/4/21 6
1990 2020 2050 2080 2100
21
2008/4/21 7
Web
2008/4/21 8
50
2008/4/21 9
50
2008/4/21 10
(Intelligence Science)
21
2008/4/21 11
(Intelligence Science)
2008/4/21 12
2008/4/21 13
2008/4/21 14
Web
2008/4/21 15
Web
Web 1.0(1993-2003)
Read
Pagestatic
Web browser
Web Coders
geeks
Client Server
Web 2.0(2004-
beyond)Write & Contribute
Post / recorddynamic
Browsers, RSS Readers, anything
Everyonemass amatuerization
Web Services
Web 3.0(2007- beyond)
Semantics
Search engine
2008/4/21 16
Web 2.0Web 2.0
2004ORielly
+ +
2008/4/21 17
Web 2.0 Web 2.0
RSS RSS + + Wikis Wikis , SMS, SMSIPIP SkypeSkypePodcasting Podcasting VlogsVlogs
2008/4/21 18
Web 2.0 Web 2.0
Web Web XML APIsXML APIsAJAX (asynchronous JavaScript and XML)AJAX (asynchronous JavaScript and XML)MicroformatsMicroformats vsvs SRU/SRWSRU/SRW
2008/4/21 19
Web 2.0Web 2.0
YouTubeYouTubeFacebookFacebookMySpaceMySpaceFlickrFlickr
2008/4/21 20
Web
2008/4/21 21
Web
SOC
UDDI
UDDI
2008/4/21 22
Web
2008/4/21 23
Web
Web Service Architecture
WS standards: Lack of semantics!
2008/4/21 24
Web programmatic interfaces for applications (i.e., business logic), available over the WWW infrastructure and developed with XML technologies.
2008/4/21 25
Web
2008/4/21 26
Web 3.0Web 3.0
Web 2.0 + Web 2.0 + WebWebWeb 2.0 + Web 2.0 +
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Web
2008/4/21 28
WWWURI, HTML, HTTP
Semantic WebRDF, RDF(S), OWL
Dynamic Web ServicesUDDI, WSDL, SOAP
Static
Semantic WebServices
Web
2008/4/21 29
Web
Semantic Web Services
=Semantic Web Technology
+ Web Service Technology
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Web
Define exhaustive description frameworks for describing Web Services and related aspects (Web Service Description Ontologies)
Support ontologies as underlying data model to allow machine supported data interpretation (Semantic Web aspect)
Define semantically driven technologies for automation of the Web Service usage process (Web Service aspect)
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Web
What should S+WS ontologies provide?(Mainly) Automation of the Usage Process:
Publication Discovery SelectionCompositionExecution Monitoring
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Web SWSBroker
Service execution engine
Ontology-Based Knowledge base
Pattern Learning
Composition patternAI
PlanningDDL
Reasoner
Knowledge ActionsContext Knowledge
Ontology mapping
Plans
Desire
Intention
Acquire
ServiceComposition
SWSBroker
Knowledge ManagementKMSphere
CompositionEditor
Ontology Editor
2008/4/21 33
Web
2008/4/21 34
Web
2008/4/21 35
Web
2008/4/21 36
Web
2008/4/21 37
WebSWSBroker
Broker
2008/4/21 38
WebSWSBroker
Provider
2008/4/21 39
WebSWSBroker
Customer
2008/4/21 40
Web
2008/4/21 41
,
:
2008/4/21 42
(,,)
(KDD)
2008/4/21 43
2008/4/21 44
2008/4/21 45
: (60%)
,
,,,
,
2008/4/21 46
Increasing potentialto supportbusiness decisions End User
BusinessAnalyst
DataAnalyst
DBA
MakingDecisions
Data PresentationVisualization Techniques
Data MiningInformation Discovery
Data Exploration
OLAP, MDA
Statistical Analysis, Querying and Reporting
Data Warehouses / Data Marts
Data SourcesPaper, Files, Information Providers, Database Systems, OLTP
2008/4/21 47
CRISP-DM
CRoss-Industry Standard Process for Data Mining
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& WWW
2008/4/21 49
: Characterization (correlation and causality)
Diaper Beer [0.5%, 75%] Classification and Prediction
,:,,
2008/4/21 50
:,
::
2008/4/21 51
:
2008/4/21 52
(Multi-Agent Environment)
,
2008/4/21 53
: ,
,:
2008/4/21 54
,
intranet/extranet
web
/
Robert Grossman National Center for Data Mining University of Illinois at Chicago
2008/4/21 55
vector-valued data
Salford SystemsCART(www.salford-systems.com)
2008/4/21 56
CBA
2008/4/21 57
DBMS
data mining schema
DBMinerDMQL
2008/4/21 58
DBMiner
2008/4/21 59
SAS Enterprise Miner
2008/4/21 60
Internet/Extranet
2008/4/21 61
SPSS clementine
PMML
2008/4/21 62
ubiquitous
PKDD2001KarguptaKarguptaUniversity of Maryland Baltimore CountyCAREER2001420064Ubiquitous
2008/4/21 63
SASSAS Enterprise Miner
IBMIntelligent Miner
SolutionClementine
Simon Fraser Univ.DBMiner
MSMiner
2008/4/21 64
MSMiner
MSMinerMSMiner
2008/4/21 65
MSMiner
MSMiner Architecture
Data resources
Mete D
ata Managem
ent
Extract Transform Load
Topic2Topic1 Topicn
OLAP
Data Mining
...
MSDM
MSOlap
MSMetadata
MSETL
Data Warehouse
2008/4/21 66
OLAP
2008/4/21 67
MSMiner
2008/4/21 68
MSMiner
Built-in toolsDecision TreeRough SetSOMAssociate RulesVisualization
Add-in toolsHSC SVMBayesian Networks Neural NetworksFuzzy Clustering
2008/4/21 69
2008/4/21 70
Web
2008/4/21 71
1987 Bratman BDI 1990 Shoham AOP1991 Rao and Georgeff formalized the BDI model1992 Jennings Hierarchical Architecture (GRATE) 1993 ARPA KQML1996 FIPA (Foundation for Intelligent Physical Agents)
2002 AAMAS (autonomous agents and multi agent systems)
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Agent
AgentACL
2008/4/21 73
IBMAgentBuildAgent Oriented Software Pty LtdJackBTZeusTILAB and MotorolaJADE MAGE
2008/4/21 74
JADE JACK Zeus MAGE
AUMP
BDI BDI BDI
BDI
FIPA ACL FIPA ACL
FIPA ACL
JAVA
JAVA
JAVA
VAStudio
JADE
JACK
Zeus
MAGE
2008/4/21 75
MAGE
Zhongzhi Shi, Mingkai Dong, Haijun Zhang, Qiujian Sheng. Agent-based Grid Computing.Keynote Speech, International Symposium on Distributed Computing and Applications to Business, Engineering and Science, Wuxi, Dec. 16-20, 2002
Zhongzhi Shi, He Huang, Jiewen Luo, Fen Lin, Haijun Zhang. Agent-based Grid Computing. Applied Mathematical Modeling, 30(2006): 629-640.
:
: ; :
http://www.intsci.ac.cn/shizz/pub/2002/abgc.pdf
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AGrIP
20061DDL
AGrIP
AGrIP
5
2008/4/21 77
MAGE
MAGE
AUMP
VAStudio
MAGE
2008/4/21 78
Mind Agent
Emotion DB
Emotion Reasoner
2008/4/21 79
VAStudio ArchitectureVAStudio Design Platform
Design GUI
TemplateLibrary
ADL/BDL Clone FSM
Process Design
VAStudio Programming PlatformDevelop GUI
Edit Compile Debug Test
Process Design
VAStudio Runtime Platform
AgentWorkList
ADL/BDLLoader
ReasonerLoader
ProcessEntity
Agent Supporting Interface
LibraryInterface
WSInterface
OntologyInterface
2008/4/21 80
VAStudio
2008/4/21 81
MAGE
MAGE
AMS
DF
MTS
MTS
2008/4/21 82
2008/4/21 83
U R L
S p i d e r
URL
I n t e r n e t
O L A P
GHunt
GHuntSpider
InternetInternet
BrowserBrowser BrowserBrowser
Spider
2008/4/21 85
Spider
2008/4/21 86
6.11 6.12
2008/4/21 87
2008/4/21 88
GHunt
2008/4/21 89
OKPS
OLAP
2008/4/21 90
OKPS
2008/4/21 91
CBRS
2008/4/21 92
12345110122119120
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GEIS
