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Re: [xml-dev] What is Data?
- From: "Seth Johnson" <seth.johnson@realmeasures.dyndns.org>
- To: "Costello, Roger L." <costello@mitre.org>, "'xml-dev@lists.xml.org'"<xml-dev@lists.xml.org>
- Date: Mon, 31 Aug 2009 11:10:58 -0400
-----Original Message-----
From: "Costello, Roger L." <costello@mitre.org>
To: "'xml-dev@lists.xml.org'" <xml-dev@lists.xml.org>
Date: Mon, 31 Aug 2009 08:23:38 -0400
Subject: [xml-dev] What is Data?
>
> Hi Folks,
>
> Below is a definition of data, based on our recent discussions.
> I ask for your comments on these aspects:
>
> The following description of a book is not data, although it
> contains data:
>
> In this groundbreaking book, evolutionary
> biologist Jared Diamond stunningly dismantles
> racially biased theories of human history by
> revealing the environmental factors actually
> responsible for history's broadcast patterns.
If you linked all the elements together with ID keys, you could
model the parsing of this like o:
Subject Predicate Object
Jared Diamond action/verb dismantles
Jared Diamond dismantle act theories
Jared Diamond specialty evolutionary biologist
Jared Diamond preposition in this groundbreaking
dismantles book
Jared Diamond preposition in this groundbreaking
dismantles book
theories
Jared Diamond preposition in this groundbreaking
dismantles book
racially biased
theories
book adjective groundbreaking
book (not sure what) this
theories adjective biased
theories preposition of human history
dismantle act adverb stunningly
biased mode adverb racially
Jared Diamond adverbial by revealing
dismantles phrase? the environmental factors
actually responsible for
history's broadcast
patterns
Jared Diamond adverbial by revealing
dismantles phrase? the environmental factors
theories actually responsible for
history's broadcast
patterns
revealing object factors
and so on.
Just think of a data model for parsing language.
Seth
> Here is some of the data:
>
> Here is some of the data:
>
> There is an entity:
> - book
>
> It has an attribute:
> - innovativeness: groundbreaking
>
> There is an entity:
> - evolutionary biologist
>
> It has attribute:
> - name: Jared Diamond
>
> It has a relationship:
> - this entity is the author of the book entity
>
> And so forth.
>
> This example shows that text can be mined for data.
>
>
> ANOTHER EXAMPLE
>
> This is not data and it contains no data:
>
> Run really fast.
>
> The sentence contains a verb followed by an adverb followed by
> an adjective. Verbs, adverbs, and adjectives are not data.
>
> Data are nouns.
>
>
> xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
> Simplification
> xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
>
> Recent research suggests that there may be just two categories
> of data:
> 1. Entities
> 2. Relationships
>
> An attribute is merely a special case of a relationship.
>
>
> EXAMPLE
>
> Above we stated that these represent an entity, attribute, and
> relationship, respectively:
>
> John Smith
> Six feet tall
> Father of
>
> Rather than considering "Six feet tall" as an attribute of
> entity "John Smith", we can consider "Six" to be an entity and
> there is a relationship (has a height of) between "John Smith"
> and "Six":
>
> John Smith has a height of Six
>
> Thus, in this example there are two entities ("John Smith" and
> "Six") and two relationships ("has a height of" and "Father
> of")
>
>
> xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
> Data and Datum
> xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
>
> Data is the plural of datum, a singular item. In practice,
> however, people use data as both the singular and plural form
> of the word.
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