SIOC Post profile for "AI3:::Adaptive Information"
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primary topic: What is Structure?
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What is Structure?
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2012-05-29T03:24:05Z
content: Insights from Commonalities and Theory Download PDF One of the main reasons I am such a big fan of RDF as a canonical data model is its ability to capture information in structured, semi-structured and unstructured form [1]. These sources are conventionally defined as: Structured data -- information presented according to a defined data model, often found in relational databases or other forms of tabular data Semi-structured data -- does not conform with the formal structure of data models, but contains tags or other markers to denote fields within the content. Markup languages embedded in text are a common form of such sources Unstructured data -- information content, generally oriented to text, that lacks an explicit data model or schema; structured information can be obtained from it via data mining or information extraction. A major trend I have written about for some time is the emergence of the structured Web: that is, the exposing of structure from these varied sources in order for more information to be interconnected and made interoperable. I have posited -- really a view shared by many -- that the structured Web is an intermediate point in the evolution of the Web from one of documents to one where meaningful semantics occurs [2]. It is clear in my writings -- indeed in the very name of my company, Structured Dynamics -- that structure plays a major role in our thinking. The use and reliance on this term, though, begs the question: just what is structure in an informational sense? We'll find it helpful to get at the question of What is structure? from a basis using first principles. And this, in turn, may also provide insight into how structure and information are in fact inextricably entwined. A General Definition of Structure According to Wikipedia, structure is a fundamental notion, of tangible or intangible character, that refers to the recognition, observation, nature, or permanence of patterns and relationships of entities. The concept may refer to a…
encoded: Insights from Commonalities and Theory Download PDF One of the main reasons I am such a big fan of RDF as a canonical data model is its ability to capture information in structured, semi-structured and unstructured form [1]. These sources are conventionally defined as: Structured data — information presented according to a defined data model, often found in relational databases or other forms of tabular data Semi-structured data — does not conform with the formal structure of data models, but contains tags or other markers to denote fields within the content. Markup languages embedded in text are a common form of such sources Unstructured data — information content, generally oriented to text, that lacks an explicit data model or schema; structured information can be obtained from it via data mining or information extraction. A major trend I have written about for some time is the emergence of the structured Web: that is, the exposing of structure from these varied sources in order for more information to be interconnected and made interoperable. I have posited — really a view shared by many — that the structured Web is an intermediate point in the evolution of the Web from one of documents to one where meaningful semantics occurs [2]. It is clear in my writings — indeed in the very name of my company, Structured Dynamics — that structure plays a major role in our thinking. The use and reliance on this term, though, begs the question: just what is structure in an informational sense? We’ll find it helpful to get at the question of What is structure? from a basis using first principles. And this, in turn, may also provide insight into how structure and information are in fact inextricably entwined. A General Definition of Structure According to Wikipedia, structure is a fundamental notion, of tangible or intangible character, that refers to the recognition, observation, nature, or permanence of patterns and relationships of entities. The concept may refer to an objec…
topic: Adaptive Information
topic: Charles Sanders Peirce
topic: Peircean Principles
topic: Structured Web
has reply: comment-182630
has reply: comment-189549
links to: Download PDF
links to: RDF
links to: data model
links to: [1]
links to: Structured data
links to: Semi-structured data
links to: Unstructured data
links to: data mining
links to: information extraction
links to: [2]
links to: Structured Dynamics
links to: first principles
links to: structure
links to: patterns
links to: Patterns in nature
links to: Golden ratios
links to: Fibonacci sequences
links to: fractal
links to: self-similar
links to: chaos theory
links to: quantum physics
links to: Brownian motion
links to: [3]
links to: Timeline of Information History
links to: Grammar
links to: syntax
links to: morphology
links to: linguistic typology
links to: Semantics
links to: thesaurus
links to: WordNet
links to: concept graphs
links to: natural language processing
links to: Machine learning
links to: pattern matching
links to: pattern recognition
links to: [4]
links to: encoding
links to: coding theory
links to: file compression
links to: data compression
links to: video compression
links to: Fourier transforms
links to: cryptography
links to: [5]
links to: speech recognition
links to: image recognition
links to: OCR
links to: image analysis
links to: search
links to: Dolby
links to: gene sequence searching and alignment
links to: [6]
links to: Lossless data compression
links to: statistical redundancy
links to: information theory
links to: lossy data compression
links to: Claude Shannon
links to: Charles S. Peirce
links to: [7]
links to: [8]
links to: information entropy
links to: [10]
links to: [11]
links to: [9]
links to: semiotics

Mike Bergman
type: User

Mike Bergman
type: Person

fractal
label: Fractals

Machine learning
label: machine learning

Charles S. Peirce
label: Charles Sanders Peirce

[13]

[14]

[15]

[16]

complexity theory

emergence

autopoiesis

autocatalysis

self-organization

stratification

cellular automata

[17]

Bilateral symmetry

Newtonian physics

E=mc2

graph theory

network analysis

AI3:::Adaptive Innovation

Viterbi algorithm

convolutional codes

CDMA

GSM

dial-up

802.11

codecs

fractal compression

Science 2.0

Commens Dictionary of Peirce's Terms

The Technium