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: ‘SuperTypes’ and Logical Segmentation of Instances
generator agent: http://rdfs.org/sioc/wp-sioc.php

‘SuperTypes’ and Logical Segmentation of Instances
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2009-09-02T21:23:20Z
content: The Significant Advantages to a Logically Segmented TBox The Message Understanding Conferences (MUC) were initiated in 1987 and financed by DARPA to encourage the development of new and better methods of information extraction (IE). It was a seminal series that resulted in basic measures of retrieval and semantic efficacy, recall (R) and precision (P) and the combined F-measure, and other core terminology and constructs used by IE today. By the sixth version in the series (MUC-6), in 1995, the task of recognition of named entities and coreference was added. That initial slate of named entities included the basic building blocks of person (PER), location (LOC), and organization (ORG); to these were added the numeric building blocks of time, percentage or quantity. The very terminology of named entity was coined for this seminal meeting, as was the idea of inline markup [1]. What is a 'Nameable Thing'? The intuition surrounding "named entity" and nameable "things" was that they were discrete and disjoint. A rock is not a person and is not a chemical or an event. As initially used, all "named entities" were distinct individuals. But, there also emerged the understanding that some classes of things could also be treated as more-or-less distinct nameable "things": beetles are not the same as frogs and are not the same as rocks. While some of these "things" might be a true individual with a discrete name, such as Kermit the Frog, or The Rock at Northwestern University, most instances of such things are unnamed. The "nameability" (or logical categorization) of things is perhaps best kept separate from other epistemological issues of distinguishing sets, collections, or classes from individuals, members or instances. In a closed-world system it is easier to enforce clean distinctions. The Cyc knowledge base, for example, the basis for UMBEL (Upper Mapping and Binding Exchange Layer), makes clear the distinction between individuals and collections. In the semantic Web and RD…
encoded: The Significant Advantages to a Logically Segmented TBox The Message Understanding Conferences (MUC) were initiated in 1987 and financed by DARPA to encourage the development of new and better methods of information extraction (IE). It was a seminal series that resulted in basic measures of retrieval and semantic efficacy, recall (R) and precision (P) and the combined F-measure, and other core terminology and constructs used by IE today. By the sixth version in the series (MUC-6), in 1995, the task of recognition of named entities and coreference was added. That initial slate of named entities included the basic building blocks of person (PER), location (LOC), and organization (ORG); to these were added the numeric building blocks of time, percentage or quantity. The very terminology of named entity was coined for this seminal meeting, as was the idea of inline markup [1]. What is a ‘Nameable Thing’? The intuition surrounding “named entity” and nameable “things” was that they were discrete and disjoint. A rock is not a person and is not a chemical or an event. As initially used, all “named entities” were distinct individuals. But, there also emerged the understanding that some classes of things could also be treated as more-or-less distinct nameable “things”: beetles are not the same as frogs and are not the same as rocks. While some of these “things” might be a true individual with a discrete name, such as Kermit the Frog, or The Rock at Northwestern University, most instances of such things are unnamed. The “nameability” (or logical categorization) of things is perhaps best kept separate from other epistemological issues of distinguishing sets, collections, or classes from individuals, members or instances. In a closed-world system it is easier to enforce clean distinctions. The Cyc knowledge base, for example, the basis for UMBEL (Upper Mapping and Binding Exchange Layer), makes clear the distinction between individuals and collections. In the semantic Web and RD…
topic: Adaptive Information
topic: Ontologies
topic: Semantic Web
topic: Structured Dynamics
topic: Structured Web
topic: UMBEL
links to: www.umbel.org
links to: MUC
links to: DARPA
links to: information extraction
links to: recall
links to: F-measure
links to: named entities
links to: coreference
links to: [1]
links to: Kermit the Frog
links to: The Rock
links to: Cyc knowledge base
links to: UMBEL
links to: coherence
links to: [2]
links to: Subject Concepts and Named Entities
links to: angels dancing on the head of a pin
links to: [3]
links to: introduced Abstract Concepts
links to: [4]
links to: discuss elsewhere
links to: Structured Dynamics
links to: semantic vectors
links to: features
links to: machine learning
links to: disjointedness
links to: set operations
links to: [5]
links to: [6]
links to: Instance Record Vocabulary
links to: Message Understanding Conference – 6: A Brief History
links to: extended hierarchy
links to: BBN categories
links to: Calais
links to: TBox
links to: working definition
links to: description logics
links to: SKOS
links to: meronymous
links to: 21 paper.pdf

Mike Bergman
type: User

Mike Bergman
type: Person

recall
label: precision

named entities
label: named entity recognition