Linking KOS Data [using SKOS and OWL2]
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Semelhante a Linking KOS Data [using SKOS and OWL2]
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Linking KOS Data [using SKOS and OWL2]
- 1. Extracted slides from a presentation at Seminar on Knowledge Organization, School of Information and Library Science University of North Carolina, 2010-03-29 Marcia Zeng Kent State University KOS = knowledge organization systems {thesaurus, classification systems, taxonomies, subject heading lists, picklists, ontologies}
- 2. Illustration of triples subjects predicates subjects objects predicates objects 17 3 3 1 2 1 2 Background image borrowed from Andrea Kosavic: The Semantic Web, (some of) what you need to know . OLA Superconference 2009.01.30. Compiled by mzeng 2009-03-06 .
- 3. http://en.wikipedia.org/wiki/Antoni_Gaud%C3%AD From Wikepedia to dbpedia, a linked data example
- 5. [related subject categories, for further exploration] [labels for this person] See next
- 6. Wikipedia’s classification Has broader concepts Concept’s label Has narrower concept http://dbpedia.org/page/Category:Spanish_architects Subject category as ‘resource’ Any of these resources will bring to other linked data
- 7. Back to the triples: http://www.example.org/index.html dc.language en http://www.example.org/index.html skos:subject Health care (conceptID) properties & values Metadata Schemas KOS Vocabularies supporting sharable data 1 1 2 2 3 3 …
- 10. Has alternative labels has broader concepts has narrower concepts has related concept has similar concept in another scheme 1 has preferred label 1 LCSH: http://id.loc.gov human-readable
- 11. 1 2 has alternative labels Has these broader concepts 3 Has these narrower concepts machine-processable
- 13. 1 has notation has preferred label has narrower concept/class http://dewey.info/class/6/2009/03/about.de.rdf http://dewey.info/class/6/2009/03/about.de.html 2 3
- 14. http://dewey.info/class/641/about has caption ddc22 Class 641 641 has notation 食品 & 饮料 食品 & 饮料 食品 & 饮料
- 18. Example from DDC 025.04 Information Storage and Retrieval Systems
Notas do Editor
- . *Credit: references from talks and presentations by W3C leaders’ and others, see refs at end.
- When there are lots of triples together, they are like this… The first subject here really has quite a few predicates, and the objects can be URIrefs or literals. Those objects can also be the things, so they also may be the subjects of further statements. Backgroud image borrowed from Andrea Kosavic: The Semantic Web, (some of) what you need to know . OLA Superconference 2009.01.30. Compiled by mzeng 2009-03-06.
- This is a Wikipedia article about Antoni Gaudi. This page is also translated in over 30 languages. There are also many links on the page, which link you to other related Wikipedia pages.
- The exposed data on the DBpedia was derived from the Wikipedia page and other related datasets. You can recognize the sense of RDF triples here. What is the THING to be described? The person whose name is Antoni Gaudi. But look on the top, he is identified by a URI, and it is a http URI. There are many properties for this thing, and each property has the value. Resources get URIs early in lifecycle Properties get URIs Vocabularies get URIs Everything is dereferenceable: Able to request meaning over http
- This continues the same resource page. Now we see many labels of the author in other languages, and also the subject category that could link to this author’s data. Overall, there are just tremendous data that are all linked through RDF triples. You may want to go to this URL to see for yourself. The properties have different prefixes. If you remember the QName we talked about, those are the prefixes assigned to certain namespace URIs. The first one is defined by RDF, the second one is from OWL, the ontology’s encoding schema, and then all the subjects are defined by SKOS, the Simple Knowledge Organization Systems, an encoding standard for KOS. Next is the FOAF; if you remember, this is for people and the things they do. The value here is not a literal, it is an URI of the resource.
- From subject categories provided by the previous page, we are linked to the subject category about Spanish architects. Now the subject category is as a ‘resource’. The concept presented like a typical KOS data entry, with concept, labels, broader and narrower concepts. Any of these values can be further explored through the link.
- For institutional use of Linked Data, BBC and the New York Times set good examples. Other projects are also going on.
- Presenting notation-building rules. Each classification implements certain rules for building notations. The following are some typical examples. 1) In current authority systems there are always records indicating how a notation should be composed or de-composed. 2) A synthesized number can be constructed by adding or appending numbers from a table or from other parts of the schedule. Instructions are provided to the classifier to construct a classification number by adding numbers from other parts of the schedule, from a table, or by basing it on a pattern defined in another part of the schedule. 3) Depending on the degree of synthesized components, some classification schemes have a variety of faceted structures for their main schedules, sub-schedules, or individual classes. Rules and instruction guidance are always included in such cases. 4) There could be full, abridged, and extended (+) notations for the derivations from a general classification system. Unlike a thesaurus, a classification system usually develops variations of a scheme with different scales. Implementers decide to which degree they want to implement it in practice. For example, in CLC's ‘062.32+6’ the number after ‘+’ is the optional, extended number with higher specificity.