THE WELCH COMPANY
440 Davis Court #1602
San Francisco, CA 94111-2496
415 781 5700
rodwelch@pacbell.net


S U M M A R Y


DIARY: March 15, 2008 11:21 AM Saturday; Rod Welch

Pat Lincoln presentation proposes augmenting intelligence.

1...Summary/Objective
2...Semantic Web Large Scale Ontologies Trends Artificial Intelligence AI
............Metadata in Documents Enables Semantic Web Processing
............XML Ontology Schema Hierarchial Taxonomy with WOL
............Web Ontology Language WOL Applies XML Build Relationships
............Ontology Applies Taxonomy Schema XML Metadata Relationships
............Metadata Ontology Applies Taxonomy Schema XML Relationships
............Ontology Definition Schema Hierarchies Relationships
3...Scalability Knowledge Requires New Tools and Work Roles
4...New Professional Work Role Required Co-evolution Machines and People
5...Complementarity Integrate Locality Power of Knowledge
6...Intelligence Converts Information into Power of Knowledge
7...Power of Knowledge from Integrating Complementarity and Locality
8...Alphabet Technology Intelligence Converts Information into Knowledge


..............
Click here to comment!

CONTACTS 
0201 - SRI International
020101 - Mr. Patrick L. Lincoln; Director
020103 - Computer Science Laboratory

SUBJECTS
Augment Intelligence Semantic Web Ontologies Metadata Commend Presen

1103 -
1103 -    ..
1104 - Summary/Objective
1105 -
110501 - Follow up ref SDS 8 0000.
110502 -
110503 -
110504 -
110506 -  ..
1106 -
1107 -
1108 - Progress
1109 -
110901 - Looking for progress in the market place for intelligence to support
110902 - the power of knowledge, found an article reporting another seminar
110903 - where Pat Lincoln gave a presentation...
110904 -
110905 -              http://itc.conversationsnetwork.org/shows/detail713.html
110907 -  ..
110908 - On 020705 Pat spoke at professional event on using intelligence for
110909 - homeland security. ref SDS 6 LU5N
110911 -  ..
110912 - Later on 030520 Pat was worried about spreading the word on SDS,
110913 - because people are afraid to go first. ref SDS 8 OF4F
110914 -
110915 -
110917 -  ..
110918 - Semantic Web Large Scale Ontologies Trends Artificial Intelligence AI
110919 -
110920 - Submitted ref DIT 1 0001 to Pat with copies to Jack, Gary, and to
110921 - Morris, saying...
110922 -
110923 -    1.  Just came across reporting in IT Conversations on a
110924 -        professional event for "Accelerating Change 2005", ref OF 1
110925 -        0001, and where you commented in part "...that the primary
110926 -        purpose of AI is to augment intelligence." ref OF 1 BS79,
110927 -        ref DIT 1 0001
110929 -         ..
110930 -    2.  Doug would be thrilled seeing this paradigm continue to hold
110931 -        sway at SRI, extending the Vannevar Bush work in 1945 cited in
110932 -        SRI's 1962 proposal, reviewed on 991222. ref SDS 2 XS6N,
110933 -        ref DIT 1 QR6J
110935 -         ..
110936 -    3.  Did Doug attend the event, or have an opportunity to support
110937 -        your presentation? ref DIT 1 QR7H
110939 -         ..
110940 -    4.  Reporting on Neil Jacobstein proposing at the same event that
110941 -        "...neurosciences, large scale ontologies and the semantic
110942 -        web..." ref OF 1 BS64 promise progress toward useful
110943 -        application of computer power and memory sounds a lot like Jack
110944 -        Park's vision manifested in recent years working on Iris and
110945 -        CALO. ref DIT 1 QR7L
110947 -  ..
110948 - On 060211 Jack's paper discusses the "semantic web." ref SDS 9 TE5I
110950 -  ..
110951 - Research on the Internet describes...
110952 -
110953 -            Altova
110954 -
110955 -              http://www.altova.com/semantic_web.html
110956 -
110957 -            In the Semantic Web machines can process, transform,
110958 -            assemble, and even act on data in useful ways.
110960 -             ..
110961 -            An example is provided using the semantic web to book a
110962 -            flight, make seat selection, charges credit card for
110963 -            payment, adjusts the schedule, orders a car rental, and
110964 -            makes room reservations.
110966 -             ..
110967 -            Semantic web can aid everything from crime investigation,
110968 -            scientific research, and literary analysis - to shopping,
110969 -            finding long-lost friends, and vacation planning - when
110970 -            computers can find, present, and act on data in a
110971 -            meaningful way.
110973 -  ..
110974 - There is a distinction between shopping, finding friends, and making
110975 - reservations dealing with fixed data bases on the one hand.  However,
110976 - crime investigation, scientific research and literary analysis seem
110977 - like much different tasks to discover correlations, implications, and
110978 - nuance that are hidden.
110980 -  ..
110981 - More importantly, "intelligence" per se processes not "fixed" data
110982 - bases but the evolving record of life.
110984 -  ..
110985 - Research Altova continues...
110987 -             ..
110988 -            Metadata in Documents Enables Semantic Web Processing
110989 -
110990 -            Implementing the Semantic Web requires adding semantic
110991 -            metadata, or data that describes data, to information
110992 -            resources.  This will allow machines to effectively process
110993 -            the data based on the semantic information that describes
110994 -            it.  When there is enough semantic information associated
110995 -            with data, computers can make inferences about the data,
110996 -            i.e., understand what a data resource is and how it relates
110997 -            to other data
110998 -
110999 -
111001 -             ..
111002 -            XML Ontology Schema Hierarchial Taxonomy with WOL
111003 -            Web Ontology Language WOL Applies XML Build Relationships
111004 -            Ontology Applies Taxonomy Schema XML Metadata Relationships
111005 -            Metadata Ontology Applies Taxonomy Schema XML Relationships
111006 -
111007 -            OWL is a third W3C specification for creating Semantic Web
111008 -            applications. Building upon RDF and RDFS, OWL defines the
111009 -            types of relationships that can be expressed in RDF using
111010 -            an XML vocabulary to indicate the hierarchies and
111011 -            relationships between different resources.
111012 -
111014 -             ..
111015 -            Ontology Definition Schema Hierarchies Relationships
111016 -
111017 -            In fact, this is the very definition of "ontology" in the
111018 -            context of the Semantic Web: a schema that formally defines
111019 -            the hierarchies and relationships between different
111020 -            resources.  Semantic Web ontologies consist of a taxonomy
111021 -            and a set of inference rules from which machines can make
111022 -            logical conclusions.
111024 -             ..
111025 -            A taxonomy in this context is system of classification,
111026 -            such as the scientific kingdom/phylum/class/order/etc.
111027 -            system for classifying plants and animals that groups
111028 -            resources into classes and sub-classes based on their
111029 -            relationships and shared properties.
111031 -             ..
111032 -            Since taxonomies (systems of classification) express the
111033 -            hierarchical relationships that exist between resources, we
111034 -            can use OWL to assign properties to classes of resources
111035 -            and allow their subclasses to inherit the same properties.
111036 -            OWL also utilizes the XML Schema datatypes and supports
111037 -            class axioms such as subClassOf, disjointWith, etc., and
111038 -            class descriptions such as unionOf, intersectionOf, etc.
111039 -            Many other advanced concepts are included in OWL, making it
111040 -            the richest standard ontology description language
111041 -            available today.
111043 -  ..
111044 - On 070126 case study seems to show people have given up on creating
111045 - and adding metadata to documents, ref SDS 10 OU7K, citing reports by
111046 - Sergey Brin at Google on 021031. ref SDS 7 VX4J
111048 -  ..
111049 - Jack discussed ontology in his letter on 070913 that proposed topic
111050 - maps and or spaces. ref SDS 11 9T6P  Earlier on 000221 Jack submitted
111051 - background on ontology, taxonomy, and epistomology. ref SDS 3 2622
111053 -  ..
111054 - Who is constructing ontology taxonomy schemas?
111056 -  ..
111057 - What is the taxonomy for this record.  What is the metadata and how is
111058 - it applied to make sense of this one simple record?
111060 -  ..
111061 - Who is constructing "metadata" and what procedures and tools will
111062 - perform the work?  Who pays for creating metadata.?  How much time
111063 - does creating metadata take?
111064 -
111065 -
111066 -
1111 -

SUBJECTS
Augment Intelligence Commend Presentation  Pofessional Event on Prop

1603 -
160401 -  ..
160402 - Scalability Knowledge Requires New Tools and Work Roles
160403 - New Professional Work Role Required Co-evolution Machines and People
160404 -
160405 - Letter to Pat continues...
160406 -
160407 -    5.  Likewise, I think Jack would concur with Jacobstein noting
160408 -        "There still remains a need, however, for a systematic approach
160409 -        to the cultural and organizational problems involved in the
160410 -        co-evolution of machines and humans." ref OF 1 IP7M  Vannevar
160411 -        Bush proposed in 1945 a new professional role using computers
160412 -        for blazing "trails of associations" in the vast record of
160413 -        daily work that augments everyone's intelligence. ref SDS 1
160414 -        364J, ref DIT 1 QR8I
160416 -         ..
160417 -    6.  New tools and roles enable a new way of working that yields
160418 -        "scalability of knowledge," which you presented on 010517.
160419 -        ref SDS 4 4Q5I, ref DIT 1 QR9J
160420 -
160421 -
160422 -
160424 -  ..
160425 - Complementarity Integrate Locality Power of Knowledge
160426 - Intelligence Converts Information into Power of Knowledge
160427 - Power of Knowledge from Integrating Complementarity and Locality
160428 - Alphabet Technology Intelligence Converts Information into Knowledge
160429 -
160430 -
160431 -    7.  You might guess I was drawn to Peter Norvig's remarks that
160432 -        literacy remains our strongest tool for augmenting
160433 -        intelligence.  Did Norvig cite Doug Lenat, a long proponent of
160434 -        AI, saying the alphabet makes people "superhuman," reviewed on
160435 -        010622. ref SDS 5 N668, ref DIT 1 QR9Q
160437 -         ..
160438 -    8.  Norvig and Lenat help light the path for lifting civilization
160439 -        using computer power to improve alphabet technology with
160440 -        expanded grammar and extended dimensionality.  You might
160441 -        consider for a future seminar introducing intelligence support
160442 -        by integrating "complementarity" with the "locality principle"
160443 -        to define the power of knowledge that controls the future,
160444 -        explained in NWO. ref OF 15 Q07K, ref DIT 1 QR4P
160446 -         ..
160447 -    9.  Again, great work presenting opportunities for intelligence
160448 -        support.  Professional events and papers spread the word that
160449 -        helps busy people learn a powerful new way of working.
160450 -        ref DIT 1 QR5Q
160452 -         ..
160453 -   10.  Keep me posted on progress with your papers and presentations.
160454 -        ref DIT 1 00W2
160455 -
160456 -
160457 -
160458 -
160460 -  ..
1605 -
1606 -
1607 - 2152
1608 -
160801 -
160802 -
160803 -
160804 -
160805 -
160806 -
160807 -
160808 -
1609 -
Distribution. . . . See "CONTACTS"