Preliminary discusses why and how application profiles should be build for different subject domains and different vocabulary structures, based on FRSAD model. Presented at the Joint meeting of LLD XG and DCMI Architecture Forum.
Resource Description and Access (RDA), the cataloging standard developed to replace AACR2, will be released in June 2010, and a period of testing and evaluation of the new rules will begin. Join Emily Nimsakont, the NLC’s Cataloging Librarian, to learn the basics of RDA. Topics of discussion will include the goals and basic concepts of RDA, ways in which the new rules will differ from the current rules, and changes to MARC format related to RDA.
4D Specialty Approximation: Ability to Distinguish between Related SpecialtiesNadine Rons
Poster presented at the 21st International Conference on Science and Technology Indicators, 14-16 September 2016, València, Spain. (http://www.sti2016.org/).
Paper: Rons, N. (2016). 4D Specialty Approximation: Ability to Distinguish between Related Specialties. In: Proceedings of the 21st International Conference on Science and Technology Indicators, 14-16 September 2016, València, Spain.
Resource Description and Access (RDA), the cataloging standard developed to replace AACR2, will be released in June 2010, and a period of testing and evaluation of the new rules will begin. Join Emily Nimsakont, the NLC’s Cataloging Librarian, to learn the basics of RDA. Topics of discussion will include the goals and basic concepts of RDA, ways in which the new rules will differ from the current rules, and changes to MARC format related to RDA.
4D Specialty Approximation: Ability to Distinguish between Related SpecialtiesNadine Rons
Poster presented at the 21st International Conference on Science and Technology Indicators, 14-16 September 2016, València, Spain. (http://www.sti2016.org/).
Paper: Rons, N. (2016). 4D Specialty Approximation: Ability to Distinguish between Related Specialties. In: Proceedings of the 21st International Conference on Science and Technology Indicators, 14-16 September 2016, València, Spain.
A Metadata Application Profile for KOS Vocabulary Registries (KOS-AP)Marcia Zeng
Report on the outcomes of the DCMI-NKOS Task Group, which builds on the work done by the NKOS community during the last decade. While we discuss the KOS-AP in the context of KOS registries, the context of microdata should be considered equally important in all aspects.
DCMI Education Linked Data Session, DC-2009 Conference, Seoul KoreaSarah Currier
Slides prepared by Sarah Currier for Jon Mason's session on LOM and DC metadata during Linked Data session at DC-2009, Wed. 14th October 2009. These slides update the current state of play between DC-Education Application Profile Task Group and other educational metadata initiatives, esp. ISO MLR and IEEE LOM Next.
These are the slides to be included in the Plenary Session at the DC-2009 Conference in Seoul Korea. They are a brief update on the DCMI Community and its Task Group on the DC-Education Application Profile.
Disciplinary and institutional perspectives on digital curationMichael Day
Slides from a presentation jointly given by Alexander Ball and Michael Day of UKOLN in a panel session on Scientific Data Curation at the DigCCurr 2009 Conference, Chapel Hill, NC, USA, 2 April 2009
Everyone knows there's too much big data. But what's the best way to harness the power of big data? This presentation discusses three analytic engines that companies big and small are using to capture, store, transform and use big data. Also included are case studies of big data in action.
Gap analysis by subject area of the university of houston main campus library...NASIG
The University of Houston Main Library collection is a large, multi-format, and ever evolving research collection supporting a large student, faculty and research population. The library is tasked with directly supporting the overall mission of the university which states "The mission of the University of Houston is to offer nationally competitive and internationally recognized opportunities for learning, discovery and engagement to a diverse population of students in a real-world setting. The collection strives to support over 12 academic colleges and an interdisciplinary Honors college as well as a diverse offering of over 120 undergraduate majors. In order to achieve this level of support for the university community, a large collection assessment including data collection from multiple sources is necessary to capture current coverage per subject. A project team was formed and tasked with designing and developing a high-level collection assessment project to assess the breadth and coverage of both print and electronic resources at the University of Houston MD Anderson Library. The collection assessment focuses on developing methodology to best capture current holdings per call number ranges as well as analysis of the holdings. The subject analysis includes gathering data from circulation, usage reports, interlibrary loan database, and the OPAC in order to understand the current strengths and weaknesses of both the print and electronic content per subject area. This data collection constitutes the first phase of the research project and the research team proposes to present some initial findings along with a brief overview of the methodology. Future directions will be presented including our need to validate this data against acquisitions data and interlibrary load data for the past several years to identify potential subject areas that need further collection development.
Presenters:
Jackie Bronicki
Collections and Online Resources Coordinator, University of Houston
Irene Ke
Psychology and Social Work Librarian, University of Houston
Cherie Turner
Chemistry Librarian, University of Houston
Shawn Vaillancourt
Education Librarian, University of Houston
Part of a joint presentation with Midori Harris comparing OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) as ontology languages, This presentation concentrates on OWL, Midori Harris presented OBO.
Healthcare Enterprise Data Model: The Buy vs. Build DebatePerficient, Inc.
Every mid-to-large-sized healthcare organization will at some point need an enterprise data warehouse to consolidate data from its many source systems. The first question most will ask is, “Do I build it from scratch or buy a model?”
For some organizations, the answer to this question is simple and obvious. For others, it may be the source of internal debate on whether someone else can create a model that will address their nuances. Some will argue that a pre-built model will save time and money and should be explored as an option, while others may curb discussions due to the belief that their electronic medical records vendor already has it figured out.
In this webinar, we explored the pros and cons of building your own data model vs. buying one and looked at real customer use cases to help weigh the pros and cons of this critical enterprise decision. Topics included:
-How experience plays into the equation
-Which solution delivers value more quickly
-Which solution helps reduce the risk to the organization
-How easy is it to integrate other solutions
-How the decision to build vs. buy can impact your internal team
Extending models for controlled vocabularies to classification systems: model...Marcia Zeng
Mitchell, Joan S., Marcia Lei Zeng, and Maja Zumer. Presented at the International UDC Seminar 2011, Classification & Ontology, The Hague, The Netherlands, Sept. 19-20, 2011.
Metadata for Terminology / KOS ResourcesMarcia Zeng
1. Why do we need metadata for terminology resources? 2. What do we need to know about a terminology resource? 3. Is there a standardized set of metadata elements for terminology resources?-- a presentation at the "New Dimensions in Knowledge Organization Systems", a Joint NKOS/ CENDI Workshop, World Bank, Washington, DC. September 11, 2008 http://nkos.slis.kent.edu/2008workshop/NKOS-CENDI2008.htm
A Metadata Application Profile for KOS Vocabulary Registries (KOS-AP)Marcia Zeng
Report on the outcomes of the DCMI-NKOS Task Group, which builds on the work done by the NKOS community during the last decade. While we discuss the KOS-AP in the context of KOS registries, the context of microdata should be considered equally important in all aspects.
DCMI Education Linked Data Session, DC-2009 Conference, Seoul KoreaSarah Currier
Slides prepared by Sarah Currier for Jon Mason's session on LOM and DC metadata during Linked Data session at DC-2009, Wed. 14th October 2009. These slides update the current state of play between DC-Education Application Profile Task Group and other educational metadata initiatives, esp. ISO MLR and IEEE LOM Next.
These are the slides to be included in the Plenary Session at the DC-2009 Conference in Seoul Korea. They are a brief update on the DCMI Community and its Task Group on the DC-Education Application Profile.
Disciplinary and institutional perspectives on digital curationMichael Day
Slides from a presentation jointly given by Alexander Ball and Michael Day of UKOLN in a panel session on Scientific Data Curation at the DigCCurr 2009 Conference, Chapel Hill, NC, USA, 2 April 2009
Everyone knows there's too much big data. But what's the best way to harness the power of big data? This presentation discusses three analytic engines that companies big and small are using to capture, store, transform and use big data. Also included are case studies of big data in action.
Gap analysis by subject area of the university of houston main campus library...NASIG
The University of Houston Main Library collection is a large, multi-format, and ever evolving research collection supporting a large student, faculty and research population. The library is tasked with directly supporting the overall mission of the university which states "The mission of the University of Houston is to offer nationally competitive and internationally recognized opportunities for learning, discovery and engagement to a diverse population of students in a real-world setting. The collection strives to support over 12 academic colleges and an interdisciplinary Honors college as well as a diverse offering of over 120 undergraduate majors. In order to achieve this level of support for the university community, a large collection assessment including data collection from multiple sources is necessary to capture current coverage per subject. A project team was formed and tasked with designing and developing a high-level collection assessment project to assess the breadth and coverage of both print and electronic resources at the University of Houston MD Anderson Library. The collection assessment focuses on developing methodology to best capture current holdings per call number ranges as well as analysis of the holdings. The subject analysis includes gathering data from circulation, usage reports, interlibrary loan database, and the OPAC in order to understand the current strengths and weaknesses of both the print and electronic content per subject area. This data collection constitutes the first phase of the research project and the research team proposes to present some initial findings along with a brief overview of the methodology. Future directions will be presented including our need to validate this data against acquisitions data and interlibrary load data for the past several years to identify potential subject areas that need further collection development.
Presenters:
Jackie Bronicki
Collections and Online Resources Coordinator, University of Houston
Irene Ke
Psychology and Social Work Librarian, University of Houston
Cherie Turner
Chemistry Librarian, University of Houston
Shawn Vaillancourt
Education Librarian, University of Houston
Part of a joint presentation with Midori Harris comparing OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) as ontology languages, This presentation concentrates on OWL, Midori Harris presented OBO.
Healthcare Enterprise Data Model: The Buy vs. Build DebatePerficient, Inc.
Every mid-to-large-sized healthcare organization will at some point need an enterprise data warehouse to consolidate data from its many source systems. The first question most will ask is, “Do I build it from scratch or buy a model?”
For some organizations, the answer to this question is simple and obvious. For others, it may be the source of internal debate on whether someone else can create a model that will address their nuances. Some will argue that a pre-built model will save time and money and should be explored as an option, while others may curb discussions due to the belief that their electronic medical records vendor already has it figured out.
In this webinar, we explored the pros and cons of building your own data model vs. buying one and looked at real customer use cases to help weigh the pros and cons of this critical enterprise decision. Topics included:
-How experience plays into the equation
-Which solution delivers value more quickly
-Which solution helps reduce the risk to the organization
-How easy is it to integrate other solutions
-How the decision to build vs. buy can impact your internal team
Extending models for controlled vocabularies to classification systems: model...Marcia Zeng
Mitchell, Joan S., Marcia Lei Zeng, and Maja Zumer. Presented at the International UDC Seminar 2011, Classification & Ontology, The Hague, The Netherlands, Sept. 19-20, 2011.
Metadata for Terminology / KOS ResourcesMarcia Zeng
1. Why do we need metadata for terminology resources? 2. What do we need to know about a terminology resource? 3. Is there a standardized set of metadata elements for terminology resources?-- a presentation at the "New Dimensions in Knowledge Organization Systems", a Joint NKOS/ CENDI Workshop, World Bank, Washington, DC. September 11, 2008 http://nkos.slis.kent.edu/2008workshop/NKOS-CENDI2008.htm
FRSAD Functional Requirements for Subject Authority Data modelMarcia Zeng
Presentation on the modeling approach of the FRSAD (Functional Requirements for Subject Authority Data) model; the entities, attributes, and relationships defined. Discussions of the implications of the FRSAD model for interoperability and future R&D considered. Presented for the ALCTS CCS Subject Analysis Committee, ALA 2010 Annual Conference, Washington, D.C. June 28, 2010
Last But Not Least - Managing The Indexing ProcessFred Leise
Focused on editors and authors who need to understand how to deal with indexes as part of the publishing process. Includes indexing basics and best practices, as well as guides for managing the editor-author-indexer relationship.
presentation on "CATALOGUING" during Training workshop in library science for staff of muktangan school libraries organised by muktangan school teacher reference library, mumbai on 15th November 2010
The tools of our trade: AACR2/RDA and MARCAnn Chapman
Guest lecture at London Metropolitan University on 13th March 2009. The lecture covered the history behind RDA, the international collaborative process by which it is being developed, an overview of the text and a look at the RDA approach to cataloguing; this was followed by an overview of the history and development process for the MARC format.
Beyond Seamless Access: Meta-data In The Age of Content IntegrationNew York University
This was an example of meta-data research that I did before Dot-COM bubble hit the East Coast in 2000. Much of what we envisioned for content integration shaped the meta-data movement for today. Its full potentials have not reached yet, e.g. the level of intelligent data for semantic apps, personalized delivery, interactive and bidirectional-linking services, repurposed services, etc. It's the first of its kind weaving content from scholarly publications (particularly in the context of formal and informal communications) with library mission critical applications in authority control, meta-data, directory services, ILS, ILL, knowledge-base for site map, etc.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
2. Questions to be discussed
1. Why APs are needed for subject authority
data?
2. How formally (or informally) can this style of
“application profile” be defined?
3. In what ways are application profiles for
subject domains different from APs for
descriptive metadata?
3. FRSAD Conceptual Model
Thema = “any entity used as a subject of a work".
NOMEN = any sign or sequence of signs (alphanumeric characters,
symbols, sound, etc.) that a thema is known by, referred to or
addressed as.
Note: in a given controlled vocabulary and within a domain, a
nomen should be an appellation of only one thema.
4. 1. Why APs are needed?
Cologne, July 20. 2010
4
a. thema types
Depending on the implementation, themas
can be categorised in various ways, even
in the same discipline/subject domain
6. Health/
Medical
UMLS
Entities
Physical Object
Organism
Anatomical
Structure
Manufactured
Object
Substance
Conceptual Entity
Idea or Concept
Finding
Organism Attribute
Intellectual Product
Language
Occupation or
Discipline
Organization
Group Attribute
Group
Events
Activity
Phenomenon or
The Foundational
Model of Anatomy
(FMA)
oAnatomical Entity
oNon-physical anatomical
entity
oPhysical anatomical entity
oAttribute Entity
oCell morphology
oCell shape type
oCell surface feature
oConcept name
oMiscellaneous term
oOrgan part phenotype
oPhysical attribute
relationship
oPhysical state
oStructural relationship
value
oDimensional Entity
oLine
International
Classification
of Diseases
(IDC)
• DISEASES AND
INJURIES
• PROCEDURES
•+ EXTERNAL
CAUSES OF
INJURY AND
POISONING
•+FACTORS
INFLUENCING
HEALTH STATUS
AND CONTACT
7. The situation is
just like this:
Andy Corbett, James Reid, David Medyckyj-Scott, Cressida Chappell
(Universities of Edinburgh and Essex): Geo-Crosswalk: A gazetteer
service and server for the UK. JCDL2002 NKOS Workshop July
18, 2002, Portland, Oregon.
8. (cont.) 1. Why APs are needed?
b) thema- to - thema relationships
General relationships between themas
(applicable to all types)
Hierarchical
Partitive
Generic
Instance
Polyhierarchical
Associative (=other)
Other thema-to-thema relationships are
implementation-dependent
9. Area types:
• Groups
• Territories
Data associated to areas:
• Names (multilingual)
• International codes
• Coordinates
• DBPedia ID
• Currency names and codes
• Adjectives of nationality
• Basic statistical data
Relations:
• Groups membership
• Land borders
• Historic changes: predecessor,
successor, valid since, valid until
FAO Country Profiles -- The Geopolitical
Ontology
http://www.fao.org/countryprofiles/geoinfo.asp
Geograph
y
ADL Digital Gazetteer
Relationships between
entries
Inherently spatial
Containment
Overlap
Proximity
Directional
Explicitly stated
PartOf
AdministrativePartOf
AdministrativePartitionMember
Of
AdministrativeSeatOf
ConventionallyQualifiedBy
SubfeatureOf
GeophysicalPartitionMemberOf
10. Page 10
terms (preferred & non-preferred)
notations
terms of pre-coordinated strings
category labels (w or w/t notations)
terms or identifiers
terms
… …
• thesauri:
• classification schemes:
• subject heading systems:
• taxonomies:
• ontologies:
• picklists:
• … …
themas
represented by:
Nomens in different types of KOS
11. 2. How formally (or informally) can this
style of application profile be defined?
11 Functional
Requirements*
Domain
Model*
Description
Set Profile*
Usage
Guidelines
Encoding syntax
guidelines
*mandatory
12. (cont.) 2. How formally (or informally)
can this style of application profile be
defined?
Functional
Requirements*
(describes what a community
wants to accomplish with its
application)
vocab control for retrieval,
organizing/categorizing,
navigation, reasoning,
provenance …
DCAP FRSAD-AP
13. (cont.) 2. How formally (or informally)
can this style of application profile be
defined?
FRSAD is a general
model;
Need more specific ones
for
different types
(e.g. classification vs.
thesaurus vs. subject
headings)
different subject domains
(e.g., medical vs.
consumer health)
DCAP FRSAD-AP
14. E.g., What are the basic
entities in a classification
system?
thema : class
nomen: notation
themas :
class
. including built classes[1]
. memberInClass[2]
. . .
nomens:
notation
caption
nameOfMember-inScopeNote
index term
… …
‘546.663’ @ ddc
class@ddcclass@ddc
‘546.66’ @ ddc
has nomen
has nomen
has super class
‘*Mercury’ @ en
has caption
‘Group 12’ @ en
has caption
or
A notation has its semantic value and an
ordinal value
15. e.g., How to describe the orders/sequences of coordinatee.g., How to describe the orders/sequences of coordinate
classes (not just hierarchical relationships)classes (not just hierarchical relationships)
Semantically meaningful orders in a classification
system
Classes are arranged according to
• stages in a process (e.g., brewing processes,
packaging of product processes);
• time or evolutionary sequence (e.g., ancient
Greek sculptures, paleontology, stars);
• degree of complexity (e.g., geometric figures),
• size (e.g., town, cities, metropolis, and other
administrative unites)
•According to Literary Warrant principle (e.g.,
arrange literature according to publication
amount)
•According to User Warrant principle (e.g.,
arrange services and products according to
popularity)
15
16. Description Set
Profile*
(enumerates the
metadata terms to be
used)
Properties of entities
APs may need specific
attributes and/or values,
e.g., for notation &
caption
[other questions]
DCAP (cont.) FRSAD-AP (cont.)
(cont.) 2. How formally (or informally)
can this style of application profile be
defined?
17. Nomen general attributes (include but not limited
to)
Page 17
Type of nomen (identifier, controlled name, …)*
Scheme (LCSH, DDC, UDC, ULAN, ISO 8601…)
Reference Source of nomen (Encyclopedia Britannica…)
Representation of nomen (alphanumeric, sound,
visual,...)
Language of nomen (English, Japanese, Slovenian,…)
Script of nomen (Cyrillic, Thai, Chinese-simplified,…)
Script conversion (Pinyin, ISO 3601, Romanisation of
Japanese…)
Form of nomen (full name, abbreviation, formula…)
Time of validity of nomen (until xxxx, after xxxx, from…
to …)
Audience (English-speaking users, scientists, children
…)
Status of nomen (provisional, accepted, official,...)
*note: examples of attribute values in parenthesis
18. Example: Notations -- Rules
Classification numbers may be built according to rules
Example from DDC:
821.008 Collections of English poetry
is built with
82 (following the instruction at 820.1-828 Subdivisions of English literature)
plus 100 (following the instruction at T3B--1001-T3B--1009 Standard subdivisions;
collections; history, description, critical appraisal)
plus 8 Collections of literary texts from the add table at T3B--1-T3B--8 Specific forms.
821 English poetry
821.008 English poetry--collections
821.00803543 Love--poetry--English literature--collections, . . .
821.0080355 English poetry--social themes--collections, . . .
821.008036 English poetry--nature--collections, . . .
821.0080382 English poetry--religious themes--collections, . . .
821.009 English poetry--history and criticism
821.04 English poetry--lyric poetry, . . .
821.0708 Humorous poetry--English literature--collections, . . .
http://ddc.typepad.com/025431/ddc_tip_of_the_week/
Source: One Zero or Two? Dewey Blog. September 28, 2006
18
19. General Nomen relationships
19
Partitive
Equivalence
Equivalence can be specified further, e.g.:
Replaces/is replaced by
Has variant form/is variant form
Has derivation/is derived from
Has acronym/is acronym
Has abbreviation/is abbreviation
Has transliterated form/is transliteration
APs may need more specific relationships, e.g., for
notation & caption
20. Usage Guidelines
Encoding syntax
guidelines
Usage Guidelines
Recommendation:
e.g., SKOS &
extensions;
MADS, BS8723-5,
ISO25964, …
DCAP (cont.) FRSAD-AP (cont.)
(cont.) 2. How formally (or informally)
can this style of application profile be
defined?
21. 3. In what ways are application profiles for subject
domains different from APs for descriptive
metadata?
Descriptive metadata Subject domain vocabularies
22. 3. In what ways are application profiles for subject
domains different from APs for descriptive
metadata?
Descriptive metadata Subject domain vocabularies
Describing a thema
-- what a concept is about
-- where it belongs to
Serious sameAs issue
-- senior@schemaA =? senior@schemaB
-- sunflower@mesh =? sunflower@aat
Integrity rely on the domain model and
properties around a thema and a nomen
23. Questions to be discussed
1. Why APs are needed for subject authority
data?
2. How formally (or informally) can this style of
“application profile” be defined?
3. In what ways are application profiles for
subject domains different from APs for
descriptive metadata?
The main focus of the model is intellectual property and rights management, but it also overlaps significantly with FRBR. The basic entities are defined as:
Percept: an entity which is perceived directly with at least one of the five senses.
Being: an entity which has characteristics of animate life; anything which lives and dies
Thing: an entity without the characteristics of animate life
Concept: an entity which cannot be perceived directly through the mode of one of the five senses; and abstract entity, a notion or idea; an abstract noun; an unobservable proposition which exists independently of time and space
Relation: the interaction of percepts and/or concepts; a connection between two or more entities
Event: a dynamic relation involving two or more entities; something that happens; a relation through which an attribute of an entity is changed, added or removed
Situation: a static relation involving two or more entities; something that continues to be the case; a relation in which the attributes of entities remain unchanged
Ranganathan
Personality
Matter
Energy
Space
Time
OpenCYC chart: http://www.bioinfo.de/isb/2002020017/
“These are the first people that a country writes to when it changes itsname, I'm told. So in terms of provenance, this is the mostauthoritative. It's not ideal since it does not deal with intra-countryconcepts. Also it's a bit "design-y" for my tastes. When I asked aboutthis they said they had not envisaged other types of user wanting makereference to this material.
If one wants to define a set of reference ontologies to use which are asstandard as possible then I'd suggest that this should be used forreasons of provenance. I'm in the process of trying to integrate the EDMCouncil Semantics Repository upper ontology terms into this, for thatreason, and replacing the "holding" terms we currently use, which youare welcome to look at on www.hypercube.co.uk/edmcouncil under "GlobalTerms/Geographical".The intra-country terms are more problematic, and I'm also looking forwhat is the "most definitive" ontology for such terms, i.e. withprovenance from a standards or governing body. The recognised authorityon countries and country components is ISO 3166 athttp://www.iso.org/iso/country_codes.htm but unfortunately that simplyitemises the various intra-country components without attempting tocreate common concepts (e.g. a federal province is a common concept,whether a given federation calls it a State, a Province, a Canton orwhatever, subject to different legal nuances of course).”
Mike Bennett <mbennett@hypercube.co.uk>3/27 via "[ontolog-forum]" <ontolog-forum@ontolog.cim3.net>
The Guidelines for Dublin Core Application Profiles document provides a framework for the content and structure of any Dublin Core Application Profile (DCAP). The document explains the key components of a Dublin Core Application Profile and walks through the process of developing a profile. According to these guidelines, “[a] DCAP is a document (or set of documents) that specifies and describes the metadata used in a particular application. To accomplish this, a profile:
describes what a community wants to accomplish with its application (Functional Requirements);
characterizes the types of things described by the metadata and their relationships (Domain Model);
enumerates the metadata terms to be used and the rules for their use (Description Set Profile and Usage Guidelines); and
defines the machine syntax that will be used to encode the data (Syntax Guidelines and Data Formats)” (Coyle and Baker, 2009).
A SKOS concept scheme can be viewed as an aggregation of one or more SKOS concepts.
Semantic relationships (links) between those concepts may also be viewed as part of a concept scheme.
schedule
The series of numbers, captions and accompanying instructions or notes that constitute the core of a classification scheme. For the Library of Congress Classification, the schedules are designated from A-Z with one, two, or three letters denoting the class or subclass within the schedule. In the Dewey Decimal Classification the schedules are designated by the series of DDC numbers 001-999.
This is why nomen (in general) has to be an entity, not an attribute of thema.
In a particular implementation the relationship between a thema and nomen can be compressed into the nomen becoming an attribute of thema
Image source: nal.usda.gov
•Group 1 entities are defined as the products of intellectual or artistic endeavors: work, expression, manifestation, and item
•Group 2 entities are actors, those who are responsible for the intellectual or artistic content, the physical production and dissemination, or the custodianship, of Group 1 entities: person, corporate body
•Group 3 entities are the subjects of works, intellectual or artistic endeavor