Darwin Ontology
e-Book as of April 2008, By Dr. Juan Chamero

Intag Experiences
By Dr. Juan Chamero
    This is an HTML version of Darwin Ontology © main ideas, White Papers and Prototypes. Darwin was improved along seven years by a Corporate - University joint effort participating more than 100 people among students, professors, and IT professionals and experts. Main credits belong to Intag, Intelligent Agents Internet Corp, a R&D firm of the State of Florida, US, the CAECE University from Argentina and Darwin Team, an informal group of young people that worked and cooperated along the life of this project from the very beginning, most of them smart programmers. Its main Architect is Dr. Juan Chamero, a "systemologist". See a little of its history. See below its global scope of applications.

The New Knowledge Management Frontier

Knowledge Maps at the deepest level of available detail: from ancient and structured Disciplines such as Religion, Philosophy, Art, Computing, Medicine to wide, volatile, fuzzy, and even hidden activities such as Fashion, Games and Terrorism;
Semantic Super Search Engines: YGWYN, You Get What You Need interfaces in Only one Click to be implemented in servers, personal computers and Mobile Telephone units as well;
World Encyclopedias in a nutshell;
Human behavior Detection and Prediction Facilities;
Smart e-membranes ©managing e-Business Interfaces;
Semantic Glasses ™to see ordered what looks chaotic in huge Data Reservoirs (Web).

Nueva Frontera en Administración del Conocimiento

Mapas de Conocimiento al nivel más profundo disponible: desde disciplines clásicas y estructuradas tales como Religión, Filosofía, Arte, Computación, y Medicina a actividades amplias, volátiles e incluso ocultas tales como Juegos, La moda y el Terrorismo;
Motores de Búsqueda Semánticos con interfases del tipo UOLQB, Usted Obtiene Lo Que Busca en un solo clic de su ratón, implementadas en servidores, computadores personales e incluso en unidades de Telefonía Móvil;
Enciclopedias Universales micro almacenadas”;
Facilidades de Detección y de Predicción de Comportamientos Humanos;
E-membranas© Inteligentes de administración de interfaces de e-Business Gafas Semánticas ™ para ver ordenado lo que aparece como desordenado en grandes reservorios de datos (Web).

  Darwin Prototypes and Demos
  Darwin Blog
  Darwin Team
  Juan Chamero Profile


1. What's in a document? Part I
How are documents "seen" and indexed by conventional Search Engines
2. What's in a document? Part II
Trying to "see" better along the Web Text Corpus: human "reading" discrimination between two types of semantic particles: Common Words and keywords.
3. What's in a keyword?
We go deep analyzing different types of keywords and entering into the more elaborated terms semantic chain and concept.
4. What a concept is
We give by provisionally accepted a milestone Darwin Conjecture: that knowledge structures as a tree, a tree by discipline and where each node corresponds with a subject identified by the semantic chain of n-links that go thru n levels from the root of the tree to the subject node. Any subject is identified by a set of specific concepts, Specificity Rule, and where each concept is also identified by a semantic chain of n+1 links, being the last the conventional keyword.
5. Let's play a little with Google
We play with Google, one of the best and more complete actual Search Engines to learn about these new concepts. By playing we are now in conditions to appreciate the Web as_it_is.
6. How users search and how they discover their own keywords
We enter now into the users' realm to see how humans look for what they "need". We introduce here the functionally symmetric ideas: user keyword, People Knowledge, and People's concepts. Derived from man-machine matchmaking we also introduce the idea of e-membranes.
7. Toward e-Libraries
We post here how Darwin imagines the Semantic Web structured with knowledge trees, subjects and concepts. New terms are introduced like Web Thesauruses, Semantic Fingerprint and Authorities. It's an introduction to Knowledge Mapping.
8. The Web as a Semantic Hypercube
We are now ready to imagine how to either re-structure the whole Web by semantically index all documents properly or just keep everything as it is now but implementing semantic glasses to see everything as ordered!. Semantic glasses behave like intelligent e-membranes matchmaking users versus the Web. We introduce here a basic Conjecture: Authorities tend to write well: introducing the idea of WDD's, Well Written Documents.
9. How do e-membranes work to build Thesauruses?
We explain Darwin as an industrial process similar to oil distillation in refineries. How we star from zero ground semantically (as Conventional Search Engines are actually structured, all themes scrambled) and proceed to build the semantic virtual hypercube, level by level from a seed at root level. It explains how agents explore nodes' neighborhoods looking for semantic tree consistency. This process computes for each node its semantic fingerprint, in fact a coded meaning.
10. A Reflection stop
At this stadium of our long lasting semantic trip (since 2001 year) we have been stimulated by the outcomes of two prototypes that prima facie confirmed all our suppositions (see Darwin Conjectures). So I consider this is a good time to document some basic reflections: how humans build concepts and why our knowledge structures itself as a tree!.
11. Darwin Conjectures
We are now in condition to understand the meaning and scope of our Ten Conjectures.

1. About Generalized man-machine dialog.
2. About the two types of semantic particles in that dialog
3. About the two types of semantic particles in any document
4. The communication as virtually performed thru e-membranes
5. Knowledge structures itself as a set of trees (The Wood of Knowledge)
6. About trees structure
7. About authorities and authoritativeness
8. About Semantic Fingerprints and Web Thesaurus
9. About People's Thesaurus
10. About a generalized semantic man-machine dialog

12. Art Map Prototype I
We describe here how we proceed to make the art tree grow from a basic semantic seed and how we may go deeper and how the retrieved tree is harmonized as much as possible in order to facilitate its ulterior use for information retrieval. In numbers 7,570 nodes, 350,000 concepts distributed along a tree of 13 levels.
13. Art Map Prototype II
It details how fingerprints and specific Virtual Libraries of Authorities are built. It envisages the possibility to implement a system of semantic indexing via document fingerprints building.
14. Keywords detection
It details here the process of keywords detection out of the Web text corpus. This step is similar to some data mining techniques used in linguistic.
15. Darwin Ontology, The Web as_it_is
Darwin Ontology imagines the Web man-machine interaction as one performed between the Established Order and the Multitude. It presents the Web as a social model at planetary scale using at full the powerful Internet technology enabling the open, free and spontaneous flow of information and intelligence between these two realms.
16. K-side dissection
A micro sample dissection of the Web content as_it_is. This dissection was performed by humans, people of our staff. However this dissection could be performed by agents in a near future. For many this dissection may look very different as they expected.
17. K'- side dissection
The same applied to the people' side as_it_is seen as a Multitude by our staff. Take a look to new, libertarian, popular and bizarre activities!.
18. A little more about Darwin Ontology I
It is another reflection about the work performed by our staff along the last five years, how our two prototypes evolved and the near future of applications. Initially we unveiled the Computing discipline starting with a given semantic skeleton of 5 levels. In our second prototype we unveiled the Art discipline from a very primitive seed but a seed at last. Our third prototype probably will unveil an important discipline without seed, equivalent to start with zero information.
19. A little more about Darwin Ontology II
We present here the main differences between Darwin Technology and Data Mining and envisages the next step: to model the people reasoning as per their free, open and spontaneous interaction with the Established side!
20. Darwin Applications scope
The scope of Darwin technology is presented here. In our criterion Darwin will make digital knowledge something absolutely manageable at least textually. Another thing is knowledge expressed in images, sounds, smells, and tactile forms of information. We are studying how Darwin Ontology could be extended to deal with these forms.