SIOC Post profile for "AI3:::Adaptive Information"
type: Document
description: A SIOC profile describes the structure and contents of a weblog in a machine readable form. For more information please refer to http://sioc-project.org/.
primary topic: Where are the Road Signs for the Structured Web?
generator agent: http://rdfs.org/sioc/wp-sioc.php

Where are the Road Signs for the Structured Web?
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2007-05-29T22:14:56Z
content: The Why, How and What of the Semantic Web are Becoming Clear -- Yet the Maps and Road Signs to Guide Our Way are Largely Missing There has been much recent excitement surrounding RDF, its linked data, "RDFizers" and GRDDL to convert existing structured information to RDF. The belief is that 2007 is the breakout year for the semantic Web. The why of the semantic Web is now clear. The how of the semantic Web is now appearing clear, built around RDF as the canonical data model and the availability and maturation of a growing set of tools. And the what is also becoming clear, with the massive new datastores of DBpedia, Wikipedia3, the HCLS demo, Musicbrainz, Freebase, and the Encyclopedia of Life only being some of the most recent and visible exemplars. Yet the where aspect seems to be largely missing. By where I mean: Where do we look for our objects or data? If we have new objects or data, where do we plug into the system? Amongst all possible information and domains, where do we fit? These questions seem simplistic or elemental in their basic nature. It is almost incomprehensible to wonder where all of this data now emerging in RDF relates to each other -- what the overall frame of reference is -- but my investigations seem to point to such a gap. In other words, a key piece of the emerging semantic Web infrastructure -- where is this stuff -- seems to be missing. This gap is across domains and across standard ontologies. What are the specific components of this missing where, this missing infrastructure? I believe them to be: Lack of a central look-up point for where to find this RDF data in reference to desired subject matter Lack of a reference subject context for where this relevant RDF data fits; where can we place this data in a contextual frame of reference -- animal, mineral, vegetable? Lack of a open means where any content structure -- from formal ontologies to "RDFized" documents to complete RDF data sets -- can "bind" or "map" to other data sets relevant …
encoded: The Why, How and What of the Semantic Web are Becoming Clear — Yet the Maps and Road Signs to Guide Our Way are Largely Missing There has been much recent excitement surrounding RDF, its linked data, “RDFizers” and GRDDL to convert existing structured information to RDF. The belief is that 2007 is the breakout year for the semantic Web. The why of the semantic Web is now clear. The how of the semantic Web is now appearing clear, built around RDF as the canonical data model and the availability and maturation of a growing set of tools. And the what is also becoming clear, with the massive new datastores of DBpedia, Wikipedia3, the HCLS demo, Musicbrainz, Freebase, and the Encyclopedia of Life only being some of the most recent and visible exemplars. Yet the where aspect seems to be largely missing. By where I mean: Where do we look for our objects or data? If we have new objects or data, where do we plug into the system? Amongst all possible information and domains, where do we fit? These questions seem simplistic or elemental in their basic nature. It is almost incomprehensible to wonder where all of this data now emerging in RDF relates to each other — what the overall frame of reference is — but my investigations seem to point to such a gap. In other words, a key piece of the emerging semantic Web infrastructure — where is this stuff — seems to be missing. This gap is across domains and across standard ontologies. What are the specific components of this missing where, this missing infrastructure? I believe them to be: Lack of a central look-up point for where to find this RDF data in reference to desired subject matter Lack of a reference subject context for where this relevant RDF data fits; where can we place this data in a contextual frame of reference — animal, mineral, vegetable? Lack of a open means where any content structure — from formal ontologies to “RDFized” documents to complete RDF data sets — can “bind” or “map” to other data sets relevant to its s…
topic: Adaptive Information
topic: Semantic Web
topic: Structured Web
has reply: comment-45152
links to: diam.html
links to: RDF
links to: linked data
links to: "RDFizers"
links to: GRDDL
links to: tools
links to: DBpedia
links to: Wikipedia3
links to: HCLS demo
links to: Musicbrainz
links to: Freebase
links to: Encyclopedia of Life
links to: SPARQL
links to: road to the semantic Web
links to: Intrepid Guide to Ontologies
links to: Brownian motion
links to: 1
links to: there's not yet enough backbone
links to: 2
links to: "hubjects"
links to: 3
links to: Metadata Registry
links to: National Science Digital Library
links to: "third rail"
links to: Dewey Decimal Classification
links to: Library of Congress Subject Headings
links to: 4
links to: 5
links to: RESTful
links to: P2P
links to: SKOS
links to: DOAP
links to: SIOC
links to: FOAF
links to: Geonames
links to: 6
links to: "infobox"
links to: earlier article
links to: YAGO
links to: Max-Planck-Institute Saarbrücken
links to: 7
links to: WordNet
links to: ontology learning
links to: "fittest"
links to: closed-world definition
links to: 8
links to: Published Subjects: Introduction and Basic Requirements (OASIS Published Subjects Technical Committee Recommendation, 2003-06-24
links to: Avoiding Hobson's Choice In Choosing An Ontology
links to: Towards Subject-centric Merging of Ontologies
links to: Kingsley Idehen
links to: OpenLink Software
links to: Frédérick Giasson
links to: Zitgist LLC
links to: Wikipedia's statistics sections
links to: Fabian M. Suchanek
links to: Gjergji Kasneci
links to: Gerhard Weikum
links to: bib
links to: ppt
links to: WWW 2007
links to: download
links to: converters
links to: online
links to: Bernard Vatant
links to: Mondeca

Mike Bergman
type: User

Mike Bergman
type: Person

Intrepid Guide to Ontologies
label: Intrepid Guide

there's not yet enough backbone
label: previously described

YAGO
label: "Yago – A Core of Semantic Knowledge"

Untapped Assets: The $3 Trillion Value of U.S. Enterprise Documents

Why Are $800 Billion in Document Assets Wasted Annually?

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