Albert Simard - Mobilizing Knowledge: Acquisition, Analysis, and Action
Presentation at the Canadian Knowledge Mobilization Forum 2012, Ottawa, Ontario, http://www.kmbforum2012.org/
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Lecture made at the 19th of April 2012, at the Warsaw University of Technology. This is the 9th lecture in the regular course at master grade studies "Introduction to text mining".
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Architecture of Search Systems and Measuring the Search EffectivenessFindwise
Lecture made at the 19th of April 2012, at the Warsaw University of Technology. This is the 9th lecture in the regular course at master grade studies "Introduction to text mining".
The digital universe is booming, especially metadata and user-generated data. This raises strong challenges in order to identify the relevant portions of data which are relevant for a particular problem and to deal with the lifecycle of data. Finer grain problems include data evolution and the potential impact of change in the applications relying on the data, causing decay. The management of scientific data is especially sensitive to this. We present the Research Objects concept as the means to indentify and structure relevant data in scientific domains, addressing data as first-class citizens. We also identify and formally represent the main reasons for decay in this domain and propose methods and tools for their diagnosis and repair, based on provenance information. Finally, we discuss on the application of these concepts to the broader domain of the Web of Data: Data with a Purpose.
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The desire for analytics today extends far beyond the traditional domain of Business Intelligence. The challenge is that operational systems come in countless shapes and sizes. Furthermore, each application treats data somewhat differently. But there are patterns of data flow and transformation that pervade all such systems. And there's one big place where all these data types and use cases have come together architecturally: the Cloud.
Watch this episode of the Briefing Room to hear veteran Analyst Wayne Eckerson explain how Cloud computing is ushering in a new era of analytics and intelligence. He'll be briefed by Brad Peters of Birst who will tout his company's purpose-built analytics platform. He'll discuss how the Birst engine processes and delivers raw data from disparate systems, offering the deployment flexibility of Software-as-a-Service, together with the capabilities of enterprise-class BI.
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Ordex serves as a source for open data for visualization
Presentation of functional design patterns for event processing with examples from TIBCO, Oracle, IBM and Prova event processing technologies. Superset of the Tutorial at DEBS2012. Editors Alex Alves, Catherine Moxey
"LiquidPub: Services at Service of Science". Invited talks of Fabio Casati at the European Conference on Web Services 2009 and in the Politechnico di Milano
All Grown Up: Maturation of Analytics in the CloudInside Analysis
The Briefing Room with Wayne Eckerson and Birst
Live Webcast on Nov. 6, 2012
The desire for analytics today extends far beyond the traditional domain of Business Intelligence. The challenge is that operational systems come in countless shapes and sizes. Furthermore, each application treats data somewhat differently. But there are patterns of data flow and transformation that pervade all such systems. And there's one big place where all these data types and use cases have come together architecturally: the Cloud.
Watch this episode of the Briefing Room to hear veteran Analyst Wayne Eckerson explain how Cloud computing is ushering in a new era of analytics and intelligence. He'll be briefed by Brad Peters of Birst who will tout his company's purpose-built analytics platform. He'll discuss how the Birst engine processes and delivers raw data from disparate systems, offering the deployment flexibility of Software-as-a-Service, together with the capabilities of enterprise-class BI.
Jena based implementation of a iso 11179 meta data registryA. Anil Sinaci
The ISO/IEC 11179 family of specifications introduces a standard model for meta-data registries to increase the interoperability of applications with the use of common data elements. Jena based implementation of a standard meta-data registry, brings semantic processing and reasoning capabilities on top of the common data elements and their consumer applications.
Ordex Presentation at Nationaal Congres Open Data Eindhoven 20 april 2012Tom Zeppenfeldt IEC MSc
Presentation by Tom Zeppenfeldt from Ophileon on the Open Reporting Data Exchange, a platform to share open data which is integrated with a monitoring and reporting tool.
Ordex serves as a source for open data for visualization
Presentation of functional design patterns for event processing with examples from TIBCO, Oracle, IBM and Prova event processing technologies. Superset of the Tutorial at DEBS2012. Editors Alex Alves, Catherine Moxey
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Similar to Albert Simard - Mobilizing Knowledge: Acquisition, Analysis, and Action (20)
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Albert Simard - Mobilizing Knowledge: Acquisition, Analysis, and Action
1. Mobilizing Knowledge:
Acquisition, Analysis,
and Action
Albert Simard
Defence R&D Canada
Canadian Knowledge
Mobilization Forum
Ottawa, ON. June 19-20, 2012
2. Knowledge Work, Services,
and Architecture
Knowledge
Unstructured Work
Semi-
structured Knowledge Services
Structured Service Architecture
2
4. Knowledge Management
Transfer National Defence,
Markets
National Security,
Public Safety
Work Application
Creation
Collaboration Defence
R&D
Flow Canada
Sharing
Assets Stock
Infrastructure Resources Government
4
6. Three Similar Processes
Intelligence: Discover and Acquire
analyze external content to
identify a pattern or trend.
(trolling, specific)
Mobilization: Compile and
synthesize selected content
to address an issue. Analyze
(targeted, complex)
• Integration: Collect and
combine diverse content into
a unified whole. (processing, Act
technical)
6
7. Core Model
Who Need
(Why)
Schedule
No schedule
When
Work Service
(What) (How)
Real space
Cyberspace
Where
Input Output
Zachman (1987)
Rudyard Kipling (1902)
7
8. Monitoring the Environment
search
Work Cyberspace Service
Research filter
scan Media
Published Monitor
An
Literature Ac
al
ce
ys
ss
is
Conferences Atten ie w
d Rev Experience
te Disc
Communities Participa over
Re
t c Individuals
of practice
ol ici eiv
e
S
Detect
Practitioners Ad hoc *Web portal,
make explicit document *Search engine,
harvest Capture
harvest *Library
Store analysis apps.
interface
Monitoring Intelligence
Repository
* Other views
8
9. Service Framework for Detection
Work Person Input / Output Services
Monitor cyberspace specialist, employee downloaded content *Web portal, AI filter,
*Search engine
Monitor media communications, published article *Web portal, *Library,
specialist, employee scanning
Research researcher, analyst identified pattern *Data management
Access literature scientist, professional published paper *Library, indexing
*Search engine,
Attend conferences scientist, professional presentation, *Web portal,
conversation announcements
Participate in expert, professional, dialogue, *Web portal, access
communities employee conversation
Solicit practitioners representative response *Web portal, survey
response template
Review experience participant after-action review, *Web portal,
lessons learned *Collaboration site
Discover employee miscellaneous *Social
Receive sender, recipient miscellaneous *Web portal, *E-mail
9
10. Producing Intelligence
Work Monitoring Service
cyberspace, media other pathways
*Sharing,
Corroborate *Web portal,
*Expertise
Validate *Collaboration
*Sharing,
Analyze analysis apps.,
*Expertise
Interpret
*Collaboration
template
Prepare *Office Apps.
Store interface
Recommend
Intelligence
Decision
Repository
* Other views
10
14. Need
Making Work Service
Decisions Create
Validate
*Social
*Collaboration
Analyze decision support
Document *Office apps
Review *Collaboration
Revise
Recommend Schedule *Office apps
Submit
Consider *Collaboration
psychological
knowledge modify
Decide ?
Store interface * Other views
reject Record approve
End
14
Repository Action
15. Service Framework for Decisions
Work Person Input/Output Services
Create knowledge worker need / idea *Social
Validate community, group validated idea *Collaboration
Analyze analyst alternatives decision support
Document writer draft document *Office apps.
proposal template
Review stakeholders, consensus *Collaboration
manager
Revise writer proposal *Office apps.
Schedule secretariat agenda item *Office apps.
Submit champion submission *Office apps.
Consider decision makers decision *Collaboration
Store record manager record of decision record *Repository
15