SIOC Post profile for "AI3:::Adaptive Information"
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primary topic: Brown Bag Lunch: ‘Structs’: Naïve Data Formats and the ABox
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Brown Bag Lunch: ‘Structs’: Naïve Data Formats and the ABox
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2011-03-18T08:08:16Z
content: Writing and Sharing Data Can be Lightened Up Ever since I first started to learn in earnest about ontology, something has been gnawing at me. The term seemed to be (shall I say?) an obtuse one whose obscurity was not the result of subtle precision or technicality, but rather one of fuzziness. As I introduced my Intrepid Guide to Ontology two years ago, I noted: The root of the [ontology] term is the Greek ontos, or being or the nature of things. Literally and in classical philosophy, ontology was used in relation to the study of the nature of being or the world, the nature of existence. Tom Gruber, among others, made the term popular in relation to computer science and artificial intelligence about 15 years ago when he defined ontology as a "formal specification of a conceptualization." Since then, I have continued to find ontology one of the hardest concepts to communicate to clients and quite a muddled mess even as used by practitioners. I have come to the conclusion that this problem is not because I have failed to grasp some ephemeral nuance, but because the term as used in practice is indeed fuzzy and imprecise. What Isn't an Ontology? Even two years ago, I noted more than 40 different types of information structure that have at one time or another been labelled as an example of an "ontology": Tag cloud Controlled vocabulary Thesauri Collaborative tagging Folk taxonomy Directory Subject Map Semantic Web Cladistics Markup languages Social bookmarking Tags Tagging Taxonomy Folksonomy Classification Categorization RDF Metadata Systematics Ontology Microformats Data dictionary OPML XOXO OWL Subject Trees Information Architecture Data Reference Model Phylogeny Topic Maps Concept Maps Synsets Glossary WordNet Metadata Facets Structure Dublin Core Typology Since then, I could add even more terms to this list. Lack of precision as to what ontology means has meant that it has been sloppily defined. As I have harped upon many times regarding semantic Web terminology, thi…
encoded: Writing and Sharing Data Can be Lightened Up Ever since I first started to learn in earnest about ontology, something has been gnawing at me. The term seemed to be (shall I say?) an obtuse one whose obscurity was not the result of subtle precision or technicality, but rather one of fuzziness. As I introduced my Intrepid Guide to Ontology two years ago, I noted: The root of the [ontology] term is the Greek ontos, or being or the nature of things. Literally and in classical philosophy, ontology was used in relation to the study of the nature of being or the world, the nature of existence. Tom Gruber, among others, made the term popular in relation to computer science and artificial intelligence about 15 years ago when he defined ontology as a “formal specification of a conceptualization.” Since then, I have continued to find ontology one of the hardest concepts to communicate to clients and quite a muddled mess even as used by practitioners. I have come to the conclusion that this problem is not because I have failed to grasp some ephemeral nuance, but because the term as used in practice is indeed fuzzy and imprecise. What Isn’t an Ontology? Even two years ago, I noted more than 40 different types of information structure that have at one time or another been labelled as an example of an “ontology”: Tag cloud Controlled vocabulary Thesauri Collaborative tagging Folk taxonomy Directory Subject Map Semantic Web Cladistics Markup languages Social bookmarking Tags Tagging Taxonomy Folksonomy Classification Categorization RDF Metadata Systematics Ontology Microformats Data dictionary OPML XOXO OWL Subject Trees Information Architecture Data Reference Model Phylogeny Topic Maps Concept Maps Synsets Glossary WordNet Metadata Facets Structure Dublin Core Typology Since then, I could add even more terms to this list. Lack of precision as to what ontology means has meant that it has been sloppily defined. As I have harped upon many times regarding semantic Web terminology, thi…
topic: Adaptive Information
topic: Brown Bag Lunch
topic: irON
topic: Structured Web
has reply: comment-82299
links to: announcing-the-sporadic-friday-brown-bag-lunch
links to: ontology
links to: Intrepid Guide to Ontology
links to: the nature of existence
links to: Tom Gruber
links to: about 15 years ago
links to: Tag cloud
links to: Controlled vocabulary
links to: Thesauri
links to: Collaborative tagging
links to: Folk taxonomy
links to: Directory
links to: Subject Map
links to: Semantic Web
links to: Cladistics
links to: Markup languages
links to: Social bookmarking
links to: Tags
links to: Tagging
links to: Taxonomy
links to: Folksonomy
links to: Classification
links to: Categorization
links to: RDF
links to: Metadata
links to: Systematics
links to: Ontology
links to: Microformats
links to: Data dictionary
links to: OPML
links to: XOXO
links to: OWL
links to: Subject Trees
links to: Information Architecture
links to: Data Reference Model
links to: Phylogeny
links to: Topic Maps
links to: Concept Maps
links to: Synsets
links to: Glossary
links to: WordNet
links to: Facets
links to: Structure
links to: Dublin Core
links to: Typology
links to: harped
links to: upon
links to: many
links to: times
links to: knowledge representation
links to: description logics
links to: Thinking 'Inside the Box' with Description Logics
links to: TBox
links to: ABox
links to: Back to the Future with Description Logics
links to: [2]
links to: serializations
links to: N3
links to: [1]
links to: Aperture
links to: SIMILE RDFizers
links to: JPEG
links to: MARC/MODS
links to: OAI-PMH
links to: OCW
links to: EMail
links to: BibTEX

Mike Bergman
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Mike Bergman
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[3]

Friday brown bag leftover

refrigerator

January 22, 2009

irON

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5th Workshop on Scripting and Development for the Semantic Web

6th European Semantic Web Conference

DFKI Knowledge Management Lab

Freie U
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niversität
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label: Leipzig

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Jim Ley

Kanzaki Masahide

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