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[ontology4.us] 2016 - 1Using Bliss-Symbols for the Decomposition of Meanings and Supporting SbM (Search by Meaning)

Using Bliss-Symbols for the Decomposition ofMeanings and Supporting SbM (Search by Meaning)

BCI International Panel Meeting 2016Brock University, St. Catharines, Ontario, CANADA, Thursday, August 4

Dipl.-Inform. Hermann Bense

[bense.com] Verlagsgesellschaft für Digitales Publizieren GmbH Schwarze-Brüder-Straße 144137 Dortmund

Fon +49 231 476 435 12 | Fax [email protected]

www.ontology4.uswww.predicator.namewww:schematik.dewww.taoke.de

• Charles K. Bliss, Semantography, a non-alphabetical symbol writing, readable in all languages; a practical tool for general international communication, especially in science, industry, commerce, traffic, etc, and for semantical education, based on the principles of ideographic writing and chemical symbolism, Sydney: Institute for Semantography. OCoLC: 26684585, 1949


Using Bliss-Symbols for the Decomposition of Meanings and Supporting SbM (Search by Meaning)

Why Bliss-Symbols?

Method of Decomposition

Search by Meaning (SbM)

Disambiguation: a rough road towardavoiding misunderstandings

Results and Future Work


Bliss-Symbols serve as a Foundation for the Composition of Concepts from other Concepts


6.500 Bliss-Words and Symbols used

House Boat = Boat (House) Boat House = House (Boat)


What are the most used Bliss-Symbols in other Bliss-Words?

Activity indicator Description indicator Person Shelter Activity Building Feeling …

Also position of the symbol in the word might be important


A first Simple Example for Decomposition of a Bliss-Word

Speech Therapy Room Speech therapy room = room (speech therapy) speech therapy = therapy (speech)

Nesting of symbols not unique S T R => R (T (S)) : correct S T R => S (R (T)) : wrong

Semantic Product = Subject x Object Always a binary tree Order is significant

• http://predicator.name/p1/Ontopage/BlissWord/speech therapy room.html


A more complex example

Shopping Mall Shopping Mall = Building (Shopping Centre)

Shopping Centre = Many (Shop)

Shop = Public room (Business)

• http://predicator.name/p1/Ontopage/BlissWord/shopping mall.html


A more complex Sample from a German Energy Research Project

Electrical Capacitor Search enabled with any of the constituting semantic factors e.G.

2 words: „energy storage“, „storage device“, „electrical energy“ 3 words: „electrical storage device“ description: „electrical device for the purpose of storage of energy“

Significantly different compared to Semantic Search with Synonyms, Hyperonym, Hyponyms etc.

• http://www.enargus.de

• http://predicator.name/p1/BlissSymbolics/BlissSearch/Semantic-Search/


Search-by-Meaning (SbM) also works on complete sentences like„Woman goes to shopping mall“

Decomposition shopping mall = building (shoping centre) shopping centre = many of (shops) shop = public room (business)


SbM Search by Meaning on complete sentenceseven using words from foreign languages

„wheel“or „Rad“ findssentences with vehicle to drive garage Boat

„female“ or „move“ will find

• http://predicator.name/p1/BlissSymbolics/BlissSearch/wheel,.html


Disambiguation necessary on the Level of Bliss-Symbols and Bliss-Words

Problem: same symbol used for liquid and for water Same word used for camper and for caravan

Basic Idea and Strategy Uses different symbols for different concepts Use different words for different concepts Assign a unique number to each concept for

unique referencing a concept Encode als sub meanings in the number


Leibniz Predicator System (LPS): Decomposition of Concepts via characteristisc Leibniz Numbers (LPN)

.Definition (>PRE-Body) = #tangible#thing#, mit.LCN (>PRE-Body) = .LCN (>PRE-tangible) * .LCN (>PRE-Thing) = 23 * 2 = 46

A characteristic Number (LPN) represents a concept including all semantic factors thereof LCN (>PRE-Body) = 46= 23 * 2

The number 46 is a unique designator for the predicator >PRE-Body

The predicator >PRE-Body is a unique predicator für the class ^Body


Leibniz Predicator System (LPS): Decomposition of Conceptsvia characteristisc Leibniz Numbers (LPN)

.Definition (>PRE-Body) = #tangible#thing#, mit.LCN (>PRE-Body) = .LCN (>PRE-tangible) * .LCN (>PRE-Thing) = 23 * 2 = 46

.Definition (>PRE-BodyPart) = #Body#Part#, mit.LCN (>PRE-BodyPart) = .LCN (>PRE-Body) * .LCN (>PRE-Part) = 46 * 5 = 230 = 23 * 2 * 5

.Definition (>PRE-Creature) = #living#Body#, mitLCN (>PRE-Creature) = .LCN (>PRE-living) * .LCN (>PRE-Body)= 29 * 46 = .LPN1 (>PRE-Creature) * .LPN2 (>PRE-Creature) = 1334= 29 * 23 * 2

Eine charakteristische Leibniz-Zahl (LPN) repräsentiert ein Konzept inklusiver aller semantischer Faktoren LCN (>PRE-Creature) = 1334= 29 * 23 * 2

Texte, in denen nach “Creature” gesucht wird, können auch über “tangible” gefunden werden LCN (>PRE-tangible) = 23


Problem with the unique naming of concepts

• Rudolph Carnap, Meaning and Necessity - A Study in Semanctics and Modal Logic, The University of Chicago Press, 1988

The Problem of commutativity in multiplication Pred (houseboat) = LCN (house) x LCN (boat) = 3 * 5 = 15 Pred (boathouse) = LCN (boat) x LCN (house) = 5 * 3 = 15

The concept of a „predicator“ has been introducedby Rudolph Carnap

Charles Sanders Peirce has introduced the conceptof the semiotic triangle


The Problem of commutativity in multiplication for unique identification of concepts with Leibniz numbers

Pred (houseboat) = LCN (house) x LCN (boat) = 3 * 5 = 15 Pred (boathouse) = LCN (boat) x LCN (house) = 5 * 3 = 15

Solution: Cantor´s Pairing function Pred (houseboat) = π (3, 5) = 39 Pred (boathouse) = π (5, 3) = 41


Bliss-Words help to order the worldof Language Concepts

Hypothesis: All language concepts can bederived from about 250 base concepts andabout a dozen pairing concepts

by horizontally pairing with: Opposite, Orthogonal, Synonym

by vertically pairing with nominae:verb, adjektive, comparative, superlative, cause, result, measure,

Example: from „largeness“ more than 24 concepts can be derived by standard pairing


Introduce a new kind of concept:Prepositional Objects

over Budget under Water after death

Examples snorkeling = sport (under water) immortality = life (after death)

Implications for Bliss-Words It would be nice to have

some nesting concept by brackets by spaces

• http://taoke.de/ke/NN/Prepositions/


Summary ofUsing Bliss-Symbols for the Decomposition of Meaningsand Supporting SbM (Search by Meaning)

Bliss-Symbols and Bliss-Words have beensuccessfully used for the unique representation of language concepts

independant from country languages the support of Search-by-Meaning (SbM)

Methods developed here can be used to straighten andease the use of the Bliss-Language

Implementations have been carried out th on base of the Ontology4 KB-CMS

(Semantic Web) with triple stores Graphs have been automatically generated with GraphViz

Thanks to the Bliss-Community! Without your work, my work would not have been possible!

• http://ontology4.us


Using Bliss-Symbols for the Decomposition ofMeanings and Supporting SbM (Search by Meaning)

BCI International Panel Meeting 2016Brock University, St. Catharines, Ontario, CANADA, Thursday, August 4

Dipl.-Inform. Hermann Bense

[bense.com] Verlagsgesellschaft für Digitales Publizieren GmbH Schwarze-Brüder-Straße 144137 Dortmund

Fon +49 231 476 435 12 | Fax [email protected]

www.ontology4.uswww.predicator.namewww:schematik.dewww.taoke.de


Thank you very much!

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