Topic Maps: What Works and What Doesn’t? 31 October 2007 A304 - 2:45-3:30 PM PDT Presented by Jay Ven Eman, Ph.D., CEO Access Innovations, Inc. / Data.

Slides:



Advertisements
Similar presentations
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Advertisements

Resource description and access for the digital world Gordon Dunsire Centre for Digital Library Research University of Strathclyde Scotland.
Taxonomy as Content Outline, Site Map and Search Aid SLA NWR Vancouver October 6, 2006 Marjorie M.K. Hlava President
1/ 26 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service - Concept Server OWL model NKOS workshop Alicante,
Alexandria Digital Library Project Integration of Knowledge Organization Systems into Digital Library Architectures Linda Hill, Olha Buchel, Greg Janée.
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
RDF Schemata (with apologies to the W3C, the plural is not ‘schemas’) CSCI 7818 – Web Technologies 14 November 2001 Van Lepthien.
The Semantic Web – WEEK 4: RDF
CS570 Artificial Intelligence Semantic Web & Ontology 2
By Ahmet Can Babaoğlu Abdurrahman Beşinci.  Suppose you want to buy a Star wars DVD having such properties;  wide-screen ( not full-screen )  the extra.
RDF Tutorial.
6. Applying metadata standards: Controlled vocabularies and quality issues Metadata Standards and Applications Workshop.
Applying ISO25964 to thesaurus mapping and other forms of linkage Stella Dextre Clarke Convenor, ISO TC46/SC9 WG8 1.
Leveraging Your Taxonomy to Increase User Productivity MAIQuery and TM Navtree.
Information and Business Work
SKOS and Other W3C Vocabulary Related Activities Gail Hodge Information International Assoc. NKOS Workshop Denver, CO June 10, 2005.
© Tefko Saracevic, Rutgers University1 metadata considerations for digital libraries.
COMP 6703 eScience Project Semantic Web for Museums Student : Lei Junran Client/Technical Supervisor : Tom Worthington Academic Supervisor : Peter Strazdins.
1 Copyright © 2005 Access Innovations, Inc. OWL Mapping Thesaurus Format NEXT GENERATION KNOWLEDGE ORGANIZATION SYSTEMS: INTEGRATION CHALLENGES AND STRATEGIES.
1/ 22 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service Concept Server OWL model DC 2006 Mexico, 4 October.
A Registry for controlled vocabularies at the Library of Congress
Knowledge organisation and information architecture, Nils Pharo Knowledge organisation and the Web Nils Pharo, 6th November 2002.
Sunday May 4 – 5 PM Bradford, Hlava, McNaughton
Ontology-based Access Ontology-based Access to Digital Libraries Sonia Bergamaschi University of Modena and Reggio Emilia Modena Italy Fausto Rabitti.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
MDC Open Information Model West Virginia University CS486 Presentation Feb 18, 2000 Lijian Liu (OIM:
1/ 27 The Agriculture Ontology Service Initiative APAN Conference 20 July 2006 Singapore.
PREMIS Tools and Services Rebecca Guenther Network Development & MARC Standards Office, Library of Congress NDIIPP Partners Meeting July 21,
8/28/97Organization of Information in Collections Introduction to Description: Dublin Core and History University of California, Berkeley School of Information.
Practical RDF Chapter 1. RDF: An Introduction
Rutherford Appleton Laboratory SKOS Ecoterm 2006 Alistair Miles CCLRC Rutherford Appleton Laboratory Semantic Web Best Practices and Deployment.
The Semantic Web Service Shuying Wang Outline Semantic Web vision Core technologies XML, RDF, Ontology, Agent… Web services DAML-S.
Of 39 lecture 2: ontology - basics. of 39 ontology a branch of metaphysics relating to the nature and relations of being a particular theory about the.
Multilingual Information Exchange APAN, Bangkok 27 January 2005
D4: SKOS and HIVE—Enhancing the Creation, Design and Flow of Information Speakers: Hollie White Jane Greenberg Coordinator: Alan Keely.
Incorporating ARGOVOC in DSpace-based Agricultural Repositories Dr. Devika P. Madalli & Nabonita Guha Documentation Research & Training Centre Indian Statistical.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
Definition of a taxonomy “System for naming and organizing things into groups that share similar characteristics” Taxonomy Architectures Applications.
Ontology Summit2007 Survey Response Analysis Ken Baclawski Northeastern University.
Towards a semantic web Philip Hider. This talk  The Semantic Web vision  Scenarios  Standards  Semantic Web & RDA.
TOPIC: Transportation Research Thesaurus: Taxonomy Development and Use Cases 14 February :00 PM EST Presented by Jay Ven Eman, Ph.D., CEO Access.
Coastal Atlas Interoperability - Ontologies (Advanced topics that we did not get to in detail) Luis Bermudez Stephanie Watson Marine Metadata Interoperability.
Semantic Web - an introduction By Daniel Wu (danielwujr)
ISO 25964: a standard in support of interoperability Stella G Dextre Clarke Project Leader, ISO NP
Semantic web course – Computer Engineering Department – Sharif Univ. of Technology – Fall Knowledge Representation Semantic Web - Fall 2005 Computer.
Lifecycle Metadata for Digital Objects November 1, 2004 Descriptive Metadata: “Modeling the World”
It’s all semantics! The premises and promises of the semantic web. Tony Ross Centre for Digital Library Research, University of Strathclyde
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.
User Profiling using Semantic Web Group members: Ashwin Somaiah Asha Stephen Charlie Sudharshan Reddy.
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
Controlled Vocabulary & Thesaurus Design Associative Relationships & Thesauri.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
Semantic Web 06 T 0006 YOSHIYUKI Osawa. Problem of current web  limits of search engines Most web pages are only groups of character strings. Most web.
OWL Web Ontology Language Summary IHan HSIAO (Sharon)
Chapter 5 The Semantic Web 1. The Semantic Web  Initiated by Tim Berners-Lee, the inventor of the World Wide Web.  A common framework that allows data.
Ontology Technology applied to Catalogues Paul Kopp.
Ontologies COMP6028 Semantic Web Technologies Dr Nicholas Gibbins
Geospatial metadata Prof. Wenwen Li School of Geographical Sciences and Urban Planning 5644 Coor Hall
Information Organization
Information Organization
ece 627 intelligent web: ontology and beyond
Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham
Taxonomies, Lexicons and Organizing Knowledge
Lifecycle Metadata for Digital Objects
Introduction to Semantic Metadata & Semantic Web
Piotr Kaminski University of Victoria September 24th, 2002
RDA Community and linked data
Attributes and Values Describing Entities.
Presentation transcript:

Topic Maps: What Works and What Doesn’t? 31 October 2007 A :45-3:30 PM PDT Presented by Jay Ven Eman, Ph.D., CEO Access Innovations, Inc. / Data Harmony / /

Copyright  2007 Access Innovations, Inc. New Technologies  Meta data  W3C OWL SKOS  Topic Maps

Copyright  2007 Access Innovations, Inc. Meta data  What is it in this context?  How does it work in a semantic environment?

Copyright  2007 Access Innovations, Inc. “Is MLB a sport, entertainment, or business?”

Copyright  2007 Access Innovations, Inc. Semantic Web? “Is MLB a sport, entertainment, or business?” About October 31, 2007 Professional baseball Entertainment Business By Smith Story Arial Summary In brief

Copyright  2007 Access Innovations, Inc. 1.98?  Price?  Price of what? Newspaper? Stadium seat? Article?  $, , Ÿ, £?  Wholesale? Retail? Sale?  How? ?

Copyright  2007 Access Innovations, Inc. “ Meaning ” starts with a knowledge organization system (KOS)  Uncontrolled list  Name authority file  Synonym set/ring  Controlled vocabulary  Taxonomy  Thesaurus Not complex - $ Highly complex - $$$$ LOTS OF OVERLAP! Topic Map Ontology SKOS

Copyright  2007 Access Innovations, Inc. Meta Data - the “Meaning Markers”   Data about data  Information about information  Included  Added

Copyright  2007 Access Innovations, Inc. Data about ‘stuff’ - like what?  Author name  Date of creation  Language used in the creation  Title of the creation  Subject of the creation  Keywords...

Copyright  2007 Access Innovations, Inc. Narrowing the focus  Keywords (AKA subject headings, index terms, identifiers, etc.) are one type of meta data.

Copyright  2007 Access Innovations, Inc. For example...  A bibliographic database record usually includes information such as author, title, language, date of creation, and subject area.  So does a traditional library card catalog

Copyright  2007 Access Innovations, Inc. But did you think about…  The legend on a street map?  The yellow pages in a telephone book?  The aisle signs in a supermarket?

Copyright  2007 Access Innovations, Inc. Meaning of meta data  Meta data is information that ‘points’ to a explanation or a resolution  Meta data makes statements about an information resource or object

Copyright  2007 Access Innovations, Inc. Sidebar - meta data or metadata?  ‘Metadata’ is “a word coined by Jack E. Myers to represent current and future lines of products implementing the concepts of his MetaModel, and also to designate his company, The Metadata Company, that would develop and market those products.”

Copyright  2007 Access Innovations, Inc. Metadata   A term not used prior to 1969  Used first in 1973  Registered U.S. Trademark (in 1986), owned by Jack Myers  Metadata  granted incontestable status in 1991  Designed to be a term with no particular meaning

Meta Data “Is MLB a sport, entertainment, or business?” Professional baseball Entertainment Business Smith There was a time... In brief... IncludedAdded Object

Copyright  2007 Access Innovations, Inc. Meta data as indexing language List of words Synonyms Taxonomy Thesaurus INCREASING COMPLEXITY / RICHNESS Ambiguity control Ambiguity control Ambiguity cont’l Synonym control Synonym control Synonym cont’l Hierarchical rel’s Hierarchical rel’s Associative rel’s

Copyright  2007 Access Innovations, Inc. Aka subject term, heading, node, category, descriptor, class Taxonomy / thesaurus  Main Term (MT)  Top Term (TT)  Broader Terms (BT)  Narrower Terms (NT)  Related Terms (RT) See also (SA)  Scope Note (SN)  History (H)  NonPreferred Term (NP) Used for (UF), See (S) TAXONOMY THESAURUS

Term record Various views

Copyright  2007 Access Innovations, Inc. New Frontiers from the World Wide Web Consortium: OWL & SKOS

Term record Various views The old frontier?

Copyright  2007 Access Innovations, Inc. Taxonomy, Thesaurus, & Ontology  Taxonomies and thesauri are not ontologies  They are entities  Ontology – science of describing kinds of entities “an explicit and formal specification of a conceptualization”

Copyright  2007 Access Innovations, Inc. Ontology  From philosophy – the science of describing Kinds of entities in the world How they are related

Copyright  2007 Access Innovations, Inc. OWL  Web Ontology Language  W3C Recommendation 10 February

Copyright  2007 Access Innovations, Inc.

Taxonomic classification Kingdom:Animalia Phylum:Chordata Class:Aves Order:Strigiformes Families:Strigidae Tytonidae

Copyright  2007 Access Innovations, Inc. Spotted Owl

Copyright  2007 Access Innovations, Inc. Web Ontology language - OWL  OWL output Provides semantic meaning to these kinds of entities Web resource Accessible to automated processes

Copyright  2007 Access Innovations, Inc. OWL  “…is intended to provide a language that can be used to describe the classes and relations between them  that are inherent in Web documents and applications.”

Copyright  2007 Access Innovations, Inc. OWL  Formalize a domain by defining Classes Properties of those classes  Define individuals Assert properties about them  Reason about these Classes and Individuals

Copyright  2007 Access Innovations, Inc. OWL Ontology  May include 1. Classes 2. Properties 3. Instances  Capture semantics  Multiple, distributed, related ontology schema  Normative OWL exchange syntax RDF/XML Resource Description Framework/Extensible Markup Language Topic SKOS

Copyright  2007 Access Innovations, Inc. Structure of controlled vocabularies List of words Synonyms Taxonomy Thesaurus INCREASING COMPLEXITY / RICHNESS Ambiguity control Ambiguity control Ambiguity cont’l Synonym control Synonym control Synonym cont’l Hierarchical rel’s Hierarchical rel’s Associative rel’s

Copyright  2007 Access Innovations, Inc. Hierarchical View Term

Copyright  2007 Access Innovations, Inc.   Agrotechnology  Biotechnology  Animal management technologies  Controlled environment agriculture  Genetically modified crops  Source: Taxonomy term record

Copyright  2007 Access Innovations, Inc.   Agrotechnology  Biotechnology  Animal management technologies  Controlled environment agriculture  Genetically modified crops  Agricultural science  Food technology  Plant engineering   Source: Thesaurus term record

Copyright  2007 Access Innovations, Inc. Agrotechnology <NarrowerTerm rdf:resource="#T252" newsindexer:alpha="Animal management technologies"/> <NarrowerTerm rdf:resource="#T1221" newsindexer:alpha="Controlled environment agriculture"/> <NarrowerTerm rdf:resource="#T2166" newsindexer:alpha="Genetically modified crops"/> <Related_Term rdf:resource="#T127" newsindexer:alpha="Agricultural science"/> <Non-Preferred_Term rdf:resource="#T3898" newsindexer:alpha="Plant engineering"/> Source: OWL term record

Copyright  2007 Access Innovations, Inc. SKOS  Simple Knowledge Organization System  SKOS Core Guide W3C Working Draft 2 November / /  SKOS Core Vocabulary Specification W3C Working Draft 2 November / /

Copyright  2007 Access Innovations, Inc. SKOS  May include 1. Classes (RDFS) 2. Properties (RDF) 3. Instances??  Express structure and content of concept schemes  Multiple, distributed, related SKOS schemes  Normative SKOS exchange syntax RDF/XML Resource Description Framework/Extensible Markup Language OWL

Copyright  2007 Access Innovations, Inc. SKOS  Specifically for “concept schemes” Thesauri Classification schemes Subject headings lists Taxonomies Terminologies Glossaries And other types of controlled vocabularies

Copyright  2007 Access Innovations, Inc. SKOS  Models concept schemes A set of concepts OPTIONALLY includes statements about semantic relationships between concepts  Directionality implied - interpretations - (‘skos:Concept’ and properties)  Not people, organizations, places, etc.

Copyright  2007 Access Innovations, Inc. Source:

Copyright  2007 Access Innovations, Inc. DH SKOS Output Agriculture Agribusiness Agronomy Farming Accepted

Copyright  2007 Access Innovations, Inc. DH SKOS Output American music Accepted

Copyright  2007 Access Innovations, Inc. DH SKOS Output Architecture Refers to the art and practice of designing and building structures Accepted Band music Accepted

A Brief Discussion of Topic Maps

Copyright  2007 Access Innovations, Inc. Statements about what? Baseball Amateur baseball Little league Professional baseball Sports MLB “Is MLB a sport, entertainment, or business?”

Topic Maps  ISO standard - ISO 13250:2002  For merging back-of-the-book indexes  Collection of structured markup  Describing KOS  Associating KOS with information resources (objects)  Separation of KOS from objects

Topic Maps  Three main concepts 1. Names of things 2. Occurrences of the named things 3. Associations between names  Three additional constructs 1. Identity 2. Facet 3. Scope OWL

Topic with occurrence “Is MLB a sport, entertainment, or business?” Professional baseball descriptor-for Topic map layer Information resources layer

Topics, associations, occurrences Professional baseball Baseball Sports member-of MLB use-for doc-type Amateur baseball Little league member-of descriptor-for Professional athletes related-to Smith author-of member-of article

Problems with Semantic Web  Complexity  Lack of tools  Lack of skills  Limited resources  Gaming the system  The syllogism trap  KOS biases  Lack of agreement  Lack of interest  Good enough  Topic Maps vs. OWL

Lack of agreement  “Symbionese Liberation Army credited with offing an SUV” About - ‘revolutionaries’ or ‘freedom fighters’ About - ‘revolutions’ or ‘freedom movements’  “Symbionese Liberation Army accused of firebombing SUV” About - ‘terrorists’ or ‘anarchists’ About - ‘terrorism’ or ‘anarchy’

The syllogism trap  Humans are mortal  Greeks are human  Therefore, Greeks are mortal  New Mexicans speak Spanish  The author lives in New Mexico  Therefore,... Source: Clay Shirky, “The Semantic Web, Syllogism, and Worldview” and Dave McComb, presentation at DAMA-I, May

The syllogism humor trap  I am a nobody  Nobody is perfect  Therefore, I am perfect Bonus: I don't approve of political jokes. I've seen too many of them get elected.

Topic Maps vs. OWL  TMCL  Topic maps  XTM, HyTM, LTM  ISO  OWL  RDF Schema  RDF  RDF/XML, N3  SOAP, WSDL  W3C

Copyright  2007 Access Innovations, Inc. Full-text search and applied indexing languages  Full-text search engines - getting better??  Thesauri applied using machine automated indexing - easier, faster, cheaper  Taxonomic navigation Faceted navigation Table of contents drilldown - taxonomy views  Query disambiguation

Copyright  2007 Access Innovations, Inc. Full-text search and applied indexing languages  Long history  Many richly developed thesauri with legs  Tools that work  Large body of professionals  Almost as rich

Tools that work!

Hierarchical View Term Record Almost as rich

ANSI/NISO Z x

Clearer disambiguation? Mercury Planets Roman god Metallic element Temperature Automobile TypeOf BrandOf IsA

Clearer disambiguation?  Thesaurus statement Mercury (planet) mercury (metal) Mercury (automobile) Mercury (mythical being) mercury (temperature)

Clearer disambiguation?  OWL statement Mercury (Planets)

Thesaurus to SKOS  Thesaurus label  Main Term (MT)  Top Term (TT)  Broader Terms (BT)  Narrower Terms (NT)  Narrower Term Instance  Related Terms (RT) See also (SA)  NonPreferred Term (NP) Used for (UF), See (S)  Scope Note (SN)  History (H)  SKOS Label   NonpreferredTerm 

Thesaurus to Ontology (OWL)  Thesaurus Label  Main Term (MT)  Top Term (TT)  Broader Terms (BT)  Narrower Terms (NT)  Narrower Term Instance  Related Terms (RT) See also (SA)  NonPreferred Term (NP) Used for (UF), See (S)  Scope Note (SN)  History (H)  OWL Label 

Copyright  2007 Access Innovations, Inc. Objectives for search & navigation  ASIS&T -- virtual library Subject matter  ASRT -- internal information control Organization chart  Naval Postgrad -- Homeland security degree Curriculum outline  SLA -- Web content Public Web navigation

Naval Postgraduate School ’ s Homeland Security Taxonomy

SLA website and thesaurus

SLA search

Copyright  2007 Access Innovations, Inc. Myth of topic maps  And OWL, SKOS  Not a myth  They do work  Limited adoption  Narrow, tightly defined niches

Topic Maps: What Works and What Doesn’t? 31 October 2007 A :45-3:30 PM PDT Presented by Jay Ven Eman, Ph.D., CEO Access Innovations, Inc. / Data Harmony / / Thank you. Questions?

Copyright  2007 Access Innovations, Inc. Activity in the field  Ontologies Ontologies  SKOS SKOS guide/#secref guide/#secref  Topic Maps

Copyright  2007 Access Innovations, Inc. Resources     Lars Marius Garshol, “Metadata? Thesaurui? Taxonomies? Topic Maps!” Steve Pepper, “The TAO of Topic Maps” 

Copyright  2007 Access Innovations, Inc. Resources  Cory Doctorow, “Metacrap: Putting the Torch to Seven Straw-men of the Meta-utopia,”  Russell Glass, “Is Anyone Going to Tag all of this Stuff?,”  Clay Shirky, “The Semantic Web, Syllogism, and Worldview,”  Pete Norvig, “Semantic Web Ontologies: What Works and What Doesn’t,”