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: An UMBEL Extension for Attributes
generator agent: http://rdfs.org/sioc/wp-sioc.php

An UMBEL Extension for Attributes
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2015-02-16T18:43:47Z
content: The Attributes Ontology is Designed for Efficient Data Mapping The semantic Web does not yet have the complete infrastructure for supporting data interoperability. Most ontology mapping or alignment efforts have focused on concepts, or the class structure of the schema. Comparatively little has been done on instance mapping or predicate (property) mapping [1]. Yet these considerations should reside at the heart of how semantic Web technologies can assist data interoperability. We began the UMBEL (Upper Mapping and Binding Exchange Layer) vocabulary and ontology as a reference structure for concepts, a means to help match the discussion of topics and things across the Web. As such, UMBEL is part of a fairly robust library of upper ontologies that are meant to provide the grounding references for what information is about. Domains as diverse as biomedicine, banking, oil and gas, municipal governments, retail, marine organisms and the environment -- among many others -- have effectively leveraged upper ontologies to get diverse datasets and vocabularies to relate to one another. This is much welcomed, to be sure, and a good indicator of how semantic technologies can begin to approach getting data to interoperate. Here is one way to look at the data interoperability space from a semantic technologies perspective (as initially informed by Pietranik and Nguyen [2]): The Ontology Stack The overall semantics of the structure -- indeed, how the structure itself is defined -- comes from which ontology languages and vocabularies are used. From an expressiveness standpoint, particularly in conceptual relations or domain schema, there are a variety of standards and specifications from which to choose [3]. We also have pretty good reference ontologies for many domains and what is called the upper levels. We are also starting, through efforts such as Wikipedia (DBpedia and Wikidata), schema.org, Freebase and OKKAM, to get referencable datasets of entities and their attributes, som…
encoded: The Attributes Ontology is Designed for Efficient Data Mapping The semantic Web does not yet have the complete infrastructure for supporting data interoperability. Most ontology mapping or alignment efforts have focused on concepts, or the class structure of the schema. Comparatively little has been done on instance mapping or predicate (property) mapping [1]. Yet these considerations should reside at the heart of how semantic Web technologies can assist data interoperability. We began the UMBEL (Upper Mapping and Binding Exchange Layer) vocabulary and ontology as a reference structure for concepts, a means to help match the discussion of topics and things across the Web. As such, UMBEL is part of a fairly robust library of upper ontologies that are meant to provide the grounding references for what information is about. Domains as diverse as biomedicine, banking, oil and gas, municipal governments, retail, marine organisms and the environment — among many others — have effectively leveraged upper ontologies to get diverse datasets and vocabularies to relate to one another. This is much welcomed, to be sure, and a good indicator of how semantic technologies can begin to approach getting data to interoperate. Here is one way to look at the data interoperability space from a semantic technologies perspective (as initially informed by Pietranik and Nguyen [2]): The Ontology Stack The overall semantics of the structure — indeed, how the structure itself is defined — comes from which ontology languages and vocabularies are used. From an expressiveness standpoint, particularly in conceptual relations or domain schema, there are a variety of standards and specifications from which to choose [3]. We also have pretty good reference ontologies for many domains and what is called the upper levels. We are also starting, through efforts such as Wikipedia (DBpedia and Wikidata), schema.org, Freebase and OKKAM, to get referencable datasets of entities and their attributes, sometim…
topic: Big Structure
topic: Ontologies
topic: UMBEL
links to: umbel.org
links to: [1]
links to: UMBEL
links to: upper ontologies
links to: [2]
links to: [3]
links to: Wikipedia
links to: DBpedia
links to: Wikidata
links to: schema.org
links to: Freebase
links to: OKKAM
links to: [4]
links to: SIO
links to: QUDT
links to: RDF
links to: key-value pairs
links to: research sense
links to: computing sense
links to: red
links to: Pomona College
links to: Zen and the Art of Motorcycle Maintenance
links to: mkbergman.com
links to: Erin
links to: infoboxes
links to: red hair
links to: [5]
links to: [6]
links to: [7]
links to: Lola
links to: Ray Davies
links to: Kinks
links to: Berlin
links to: John Kennedy
links to: open world ones
links to: ontology
links to: spoke-and-hub design
links to: [8]
links to: schema matching
links to: data mapping
links to: [9]
links to: [10]
links to: OpenCyc
links to: [11]
links to: UMBEL Annex L documentation
links to: Structured Dynamics
links to: [12]
links to: Automatically Refining the Wikipedia Infobox Ontology
links to: Ontology Matching: A Literature Review
links to: Attribute Mapping as a Foundation of Ontology Alignment
links to: Making Connections Real
links to: W3C
links to: RDFS
links to: OWL
links to: Common Logic
links to: conceptual graphs
links to: Metamodeling in Domain Ontologies
links to: DERA: A Faceted Knowledge Organization Framework
links to: Big Structure and Data Interoperability
links to: listing of known RDFizers
links to: The Open World Assumption: Elephant in the Room
links to: Annex G: UMBEL SuperTypes Documentation
links to: this thread
links to: UMBEL Annex K: UMBEL Generator

Mike Bergman
type: User

Mike Bergman
type: Person

key-value pairs
label: key-value pair

Erin
label: Zak

UMBEL Annex L documentation
label: UMBEL Annex L: Attributes Ontology and Version 1.20

Annex G: UMBEL SuperTypes Documentation
label: .