From Objects to Assets: The Fungibility of Knowledge - PowerPoint PPT Presentation

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From Objects to Assets: The Fungibility of Knowledge

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Knowledge processes, products and services can create fungible IP assets ... New world of fungible knowledge assets. New challenges in IT management. How To Get ... – PowerPoint PPT presentation

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Title: From Objects to Assets: The Fungibility of Knowledge


1
From Objects to Assets The Fungibility of
Knowledge
  • Christopher W. Higgins, Esq.

2
My Agenda (and yes, I do have one)
  • Global Knowledge Processing Architecture
  • From Knowledge Objects to Assets
  • Links and link management applications
  • Strategic Management of Enterprise IP
  • Getting on the Knowledge Bus

3
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The Knowledge Object
7
So what is a Knowledge Object?
  • Self-defined information
  • Data, meta-data and processing instructions
  • High fidelity and reliability
  • A Set of concepts and relationships as links
  • Only as reliable as the links and link mgmt.
    software

8
All Knowledge Objects are
  • A semantic instance in time.
  • Based on reference to other knowledge.
  • Infinitely variable and complex.
  • Expressible as some set of relationships.
  • Definable as nested, interdependent links.
  • Dependent on the syntax and processing of those
    links in order to be exchanged.

9
Proprietary Knowledge Objects
  • Defined in a vendor-specific syntax
  • Controlled by a closed, proprietary model
  • Dependent on that vendor for all processing
  • Integration is application-based with increasing
    marginal costs of exchange
  • Real-time dependence on specific commercial
    platforms

10
Generic Knowledge Objects
  • Defined in a public meta-syntax
  • Controlled by an open, dynamic model
  • Independent of any vendor for processing
  • Integration is information-based with diminishing
    marginal costs of exchange
  • Real-time interoperability among commercial
    trading platforms

11
From Knowledge Object to Asset
Etc.
E-M-C-Commerce Applications
Etc.
Etc.
Integration Applications
KM Applications
Multiple Data Types
Multiple Data Uses
Structured Data
12
So what is a Knowledge Asset?
  • Conceptual object based on strategic goals
  • May be known or latent
  • May be tangible or intangible
  • Subject to any knowledge schema
  • Documentable with explicit constraints
  • Subject to exchange and/or collaboration in
    multiple contexts

13
Enabling Knowledge Assets
  • Design an Enterprise Knowledge Schema
  • Capture and detail enterprise data flows
  • Design/empower data value adds
  • Engineer incentives to nurture innovation
  • Increase valuation through IP mgmt process
  • Open architecture rewards
  • Translate innovations into tangible assets
  • Develop systems to track evaluate
  • Develop systems to protect and exploit
  • Explicitly encode IP and Corporate policies
  • Translate human strategies into systems
    architectures

14
Knowledge Transactions
  • Internet enables new markets and models
  • Value and a common contextual grammar
  • Transaction costs and automation
  • Specialization can produce diminishing marginal
    cost for each transaction
  • Knowledge processes, products and services can
    create fungible IP assets

15
Knowledge Value Exchange
  • Digital delivery and consumption
  • Benchmarking and the evolution of native semantic
    models and processing tools
  • Reflected by the relative change of relationships
    and architecture
  • Represents an intersection of value propositions
    among participants
  • Dependent on linking and addressing

16
The Importance of Linking(E-applications)
  • Vendor-neutrality and public syntax
  • Must protect evolving relationships from
    information loss over time
  • Utilize the explicit definition of a relationship
    as the means for processing it
  • Designed to enable sub-component management of
    any granularity

17
The Importance of Addressing(E-Services)
  • Real-time interoperability
  • Data delivery and presentation
  • Data validation
  • Data certification
  • Data escrow and brokering services
  • Business records maintenance

18
The Importance of Strategy
  • Knowledge Rules Engine and transactions
  • Defines classes of users and uses
  • Implements policies under semantic models and
    through interactive semantic processes
  • Allows real-time prioritization of proposed
    knowledge transactions
  • Allows dynamic reposition of assets

19
What makes Knowledge Strategic?
  • Maximization of tangible values
  • Maximization of intangible values
  • Customers
  • Products
  • Operations
  • IP
  • Specialization and knowledge gravity

20
Knowledge Solutions Markets
  • Enabled by infrastructure for new business
    services and models
  • First mover advantage (vendors are still
    important)
  • The opportunity in Verticals
  • Convergence and long-term interoperability
  • The automation of knowledge

21
The Value of Automation
  • Operational cost savings
  • Resource reuse savings
  • Some f(x) of market share, scale and valuation
    increases
  • Revenue generated by any new IP
  • Competitive advantage gained by proper IP
    protection and exploitation

22
The Internet is a Knowledge Bus
  • Channel over which knowledge flows
  • Connects knowledge processing devices
  • Common medium for exchanging semantics
  • Depends on a common contextual grammar
  • Must mediate semantic values and document
    structural transactions
  • Creates dynamic semantic interoperability

23
Semantic Interoperability
  • Exploits generic addressing and linking
  • Unifies the infrastructure for
  • Data integration
  • User and use policy implementation
  • Knowledge personalization
  • New world of fungible knowledge assets
  • New challenges in IT management

24
How To Get On The Bus
  • Proper incentives for market formation
  • Enlightened standardization
  • Support for new IP revenue models
  • Reliable transaction documentation
  • Accessibility of business records to dispute
    resolution
  • All depend on linking and addressing

25
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