SIOC Post profile for "AI3:::Adaptive Information"
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primary topic: Making Linked Data Reasonable using Description Logics, Part 1
generator agent: http://rdfs.org/sioc/wp-sioc.php

Making Linked Data Reasonable using Description Logics, Part 1
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2009-02-11T21:52:28Z
content: Can a 'Separation of Concerns' Lead to Better Slicing of the Pie? It is clear that Fred Giasson and I have been spending considerable time on description logics of late. While we could perhaps claim that we like hard-to-read and -understand stuff, our reasons for this interest have been quite pragmatic: How to apply linked data principles to real-world commercial and organizational environments? Indeed, what should those principles even be? Our first intuition, reaching back nearly two years now, was that linked data needed a context for bringing related datasets together. This belief led us to construct the UMBEL subject concept ontology, a basic reference roadmap for helping to point to information related (or "about") similar subjects. UMBEL as a set of subject concepts has proved useful as a reference roadmap; and the approach to construct UMBEL and its resulting vocabulary (heavily based in SKOS) has also proved helpful to construct specific domain-level ontologies. By their nature, these ontologies have been conceptual and structural. They define relationships, but are instance-poor. They focus on ways to describe various lenses -- world views -- into the domains for which we have been engaged. But superstructures are meant to be built upon and fleshed out. For that, real instance data is required. The Formative 'Named Entities' Thus, we have more recently shifted from concepts and structure to focus on how to represent the actual things that populate that structure; that is, a domain's actual objects or instances. We appreciate that different audiences and proponents will use terminology such as instance, or object, or entity, or individual or even foo to describe such things, but for us (Peirceian logic aside) we simply wanted a way to describe the referents to a specific real-world thing [1]. We initially chose the term 'named entities' to describe these actual objects. This naming arose from the work of Sekine and his 200 named entity types [2]. Typical na…
encoded: Can a ‘Separation of Concerns’ Lead to Better Slicing of the Pie? It is clear that Fred Giasson and I have been spending considerable time on description logics of late. While we could perhaps claim that we like hard-to-read and -understand stuff, our reasons for this interest have been quite pragmatic: How to apply linked data principles to real-world commercial and organizational environments? Indeed, what should those principles even be? Our first intuition, reaching back nearly two years now, was that linked data needed a context for bringing related datasets together. This belief led us to construct the UMBEL subject concept ontology, a basic reference roadmap for helping to point to information related (or “about”) similar subjects. UMBEL as a set of subject concepts has proved useful as a reference roadmap; and the approach to construct UMBEL and its resulting vocabulary (heavily based in SKOS) has also proved helpful to construct specific domain-level ontologies. By their nature, these ontologies have been conceptual and structural. They define relationships, but are instance-poor. They focus on ways to describe various lenses — world views — into the domains for which we have been engaged. But superstructures are meant to be built upon and fleshed out. For that, real instance data is required. The Formative ‘Named Entities’ Thus, we have more recently shifted from concepts and structure to focus on how to represent the actual things that populate that structure; that is, a domain’s actual objects or instances. We appreciate that different audiences and proponents will use terminology such as instance, or object, or entity, or individual or even foo to describe such things, but for us (Peirceian logic aside) we simply wanted a way to describe the referents to a specific real-world thing [1]. We initially chose the term ‘named entities‘ to describe these actual objects. This naming arose from the work of Sekine and his 200 named entity types [2]. Typical name…
topic: Description Logics
topic: Linked Data
topic: Semantic Web
topic: Structured Dynamics
topic: Structured Web
topic: UMBEL
has reply: comment-50476
has reply: comment-50492
links to: Fred Giasson
links to: description logics
links to: linked data
links to: context
links to: UMBEL
links to: SKOS
links to: Peirceian logic
links to: [1]
links to: [2]
links to: first published definition
links to: Iowa
links to: 41°39′21″N 91°31′30″W 41.65583°N 91.525°W
links to: Country
links to: United States
links to: State
links to: County
links to: Johnson
links to: Metro
links to: Iowa City Metropolitan Area
links to: Council-manager government
links to: Mayor
links to: City Manager
links to: Area
links to: City
links to: Elevation
links to: Density
links to: Time zone
links to: CST
links to: UTC-6
links to: DST
links to: UTC-5
links to: ZIP codes
links to: Area code(s)
links to: 319
links to: FIPS code
links to: GNIS
links to: www.icgov.org
links to: Description logics
links to: TBox
links to: ABox
links to: [3]
links to: DBpedia
links to: two years ago
links to: shortly thereafter
links to: infoboxes
links to: Sören Auer
links to: Chris Bizer
links to: Iowa City
links to: Billion Triples challenge
links to: Back to the Future with Description Logics
links to: [4]
links to: Structured Dynamics
links to: Cyc
links to: separation of concerns
links to: Sindice
links to: sitemap standard
links to: voiD

Mike Bergman
type: User

Mike Bergman
type: Person

CST
label: CDT

Description logics
label: Description Logics

Back to the Future with Description Logics
label: commented

[5]

blogged about these 'tribes'

Gandalf

Thinking 'Inside the Box' with Description Logics