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Saturday, January 3, 2015

TITLE ' UNDECIDED '

NATIONAL GEOGRAPHIC  JANUARY 2015

YOU WILL HAVE TO READ IT TO UNDERSTAND THE FULL IMPLICATIONS AND COMPLEXITIES CROSS REFERENCED WITH THEORIES OF ' STRING THEORY ' AND BASIC UNDERSTANDINGS OF QUANTUM MECHANICS.

REMEMBER THE TIME ARTICLE THAT DESCRIBES THE NEAR ' SIMULTANEOUS ' EXISTENCE OF NUMBERS ( SYMBOLS ) IN FOURTEEN DIFFERENT LOCATIONS; LEAST OF WHICH IS ' QUESTION ' IN ' ANSWER ' AS TO ' FORETHOUGHT,' THIS THE NEXT STEP AFTER ' PROBABILITY ' OR OUTCOME ( ANSWERS IN ' TRUTH,' WITHOUT SYMBOLOGY ), HENCE, NO MONITOR; SYNTHETIC. THESE ARE THE NEXT STEPS AFTER THE ' HUMAN DRONES ' WHO NEVER QUESTION ' BECAUSE.'

MY QUESTIONING OF MY MATHEMATICS TEACHER AT THE EL PASO COMMUNITY COLLAGE, " WHY IS THE ' VALUE ' OF THE ZERO CHOSEN TO BE ON THAT SIDE AS OPPOSED TO THE OTHER, FROM THE BEGINNING? " I WASN'T MAKING FUN, WITHIN MY UNDERSTANDING OF ALL SYMBOLS BEING ' RELATIVE ' IN VALUES BASED ON THE PROGRESSIONS OF ALL SYMBOLS THROUGH THE AGES IN SIMPLE ONE AND TWO DIMENSIONAL DESCRIPTIONS WITHOUT FLUIDITY OF MOVEMENTS IN ALL DIRECTIONS REGARDLESS OF SPEED.

I LOST OUT OF, I CAN'T EVEN REMEMBER THE AMOUNT OF MONIES, $1,200.00 ? $1,500.00 ? THE REST OF THE CLASS LAUGHED AT EVERYTHING, EVERYTHING WAS A JOKE.

I WILL POST MORE TO THIS TO DAY. REMEMBER THE ' MADONNA?' THERE WILL BE ONE MORE PHOTO, MAYBE TWO LATER. I'M TIRED OF DEALING WITH ' ORGANIZED CRIME.' AND A FEW ' NEWS ARTICLES.'

I FOUND ' PORT AUTHOR ' AND THE SHARP SHOOTER IN THE EL PASO TIMES DEALING WITH PEOPLE I WILL NEVER UNDERSTAND, NOW I KNOW ' ONE ' OF HER FACES AND ' TELEPHONE CALL SHE SHOULD NEVER OF ANSWERED.'

EL PASO TIMES - NOVEMBER 10, 2014
VERY NEAR THE TIME. THREE WEEKS
EITHER WAY. MIGHT BE OTHERS.

ROBIN WILLIAMS/TIME OF TORTURE IN EL PASO/" I'M NOT A COP! " " WHAT ARE YOU DOING? " SCREAMING, I THINK SOMETHING ' CUT OFF.' ALMOST SAME NIGHT, " YOUR CELL PHONE IS IN YOUR PANTS! YOUR PANT POCKET! " SEVERAL TRIPS TO BATHROOM AFTER ' ACCIDENT.' IT LASTED FOR MANY NIGHTS " WHAT DO YOU WANT ME TO DO ABOUT IT ! " A MAN SCREAMED, AGAIN AND AGAIN. " I'M NOT A COP...." WHIMPERING.

IN HALLWAY, LAUGHING AND SILENCE.

A MONTH OR SO I HEARD ON THE RADIO, ROBIN WILLIAMS HAD A CELL PHONE IN HIS PANTS POCKET. I NEVER KNEW WHO THESE PEOPLE WERE.

NOW I HAVE A CRIMINAL ' PLAYING GAMES ' WITH ME AGAIN, TRYING TO MAKE A NAME FOR HIMSELF NOT KNOWING WHAT HE'S REALLY DOING TO ' HIS ' PEOPLE.


ARTICLE-DARK ENERGY.

ARTICLE-DARK ENERGY.


WHERE I'VE BEEN.

SOME PEOPLE PRAY TO ' ALIEN ' IDEAS AND BUILD OF,
OTHERS THE LESSONS OF EVOLUTION IN DESCRIPTIVE
MEASURES AND TERMS.



WHO ALLOWED UNTIL THE INSECT ' ALIEN.'
IN THE BACKGROUND, THE MACHINE OF
THE REPETITIVE NATURE OF THE MAN
MADE ' INSECT ' WE CALL MACHINE NOW,
MEMORY TOMORROW AND god IN BETWEEN.


STOP PICKING ON CIA - TREASONOUS BITCHES ( MEN ).

AI.

AI.

LIKE A ' HOLLOW POINT.' I'LL EXPLAIN ONE MORE TIME
LATTER, BUT I'M STILL AT THIS MOMENT BEING ' HACKED.'



BELOW

WHILE THIS INFO IS ENTERTAINING AT THIS LEVEL OF UNDERSTANDING, ONE CAN
ONLY WONDER OF ALL POSSIBLE ADVANCEMENTS AND JUST WHO THE ' ENEMY ' IS. (?)

PEOPLE WHO HAVE READ MY BLOGS MIGHT REMEMBER WHEN I WAS ASKED INSIDE MY BEDROOM " CAN A THOUGHT KILL? " I IMMEDIATELY SAID NO BOTH ' MENTALLY ' AND ALOUD. I THEN WAS TOLD THAT I WAS NEVER TO PRACTICE REMOTE VIEWING AGAIN. PERIOD. VERY DRY; A COMMAND. I SCREAMED BACK TO WHAT EVER....MENTALLY. I SAID NO........

I NEVER, AS FAR AS I KNOW ' RECEIVED ' ANY ' REAL ' COORDINATES, IF YOU REMEMBER ' I WAS ASKED/IT WAS ' HINTED ' THAT I PUT THE ' COORDINATES ' IN MY ART BEFORE 9/11. I NEVER DID. WHO WOULD SEE IT, JUST QUEERS ?

WITH ALL THAT I HAVE WRITTEN AND SAID, I HAVE ALWAYS BEEN IN DANGER FROM ' OPPORTUNISTS ' IN THE UNDERGROUND FROM THE VERY BEGINNING UPON MEETING BARTON PRINCE, OR ANY ' VETERAN,' MOST ESPECIALLY COMBAT. EVERYBODY HAS TRIED TO ' BANK ' ON ME, OR FAMILY, WITH THEIR ' REALITY,' OR BELIEF SYSTEM.

I WILL PRINT IN THE NEXT FEW DAYS WHAT I ' WROTE ' WHEN I FINISHED WATCHING ' THE GHOST AND MRS. MUIR,' AND THE ' BORN IDENTITY.' SOMEONE ELSE WAS HAVING ' FLASHBACKS,' SUPPOSEDLY THAT NIGHT.....HOWEVER, THE MOST STARTLING ' REALIZATION ' WAS IN A MOVIE.

A MOVIE THAT I HAD SEEN MONTHS AGO; A DEATH OF A PATRIOT AGAINST AN AGELESS ENEMY, WHO SAID HE ' REPRESENTED ' A PEOPLE UNDER THE PROPHET. I WISH I NEVER HAD SEEN THAT MOVIE. SHE AND OTHERS WERE BLOWN UP, I GUESS, OR FACE TO FACE, ' MUZZLE FLASH TO THE HEAD.'



Blending the Physical and the Digital through Conceptual Spaces

Stefan Dietze1, Neil Benn1, John Domingue1, Wolfgang Orthuber2 1Knowledge Media Institute,
The Open University, MK7 6AA, Milton Keynes, UK {s.dietze, n.j.l.benn, j.b.domingue}@open.ac.uk 2Department of Orthodontics University Clinic Schleswig-Holstein 24105 Kiel, Germany orthuber@kfo-zmk.uni-kiel.de
Abstract. The rise of the Internet facilitates an ever increasing growth of virtual, i.e. digital spaces which co-exist with the physical environment, i.e. the physical space. In that, the question arises, how physical and digital space can interact synchronously. While sensors provide a means to continuously observe the physical space, several issues arise with respect to mapping sensor data streams to digital spaces, for instance, structured linked data, formally represented through symbolic Semantic Web (SW) standards such as OWL or RDF. The challenge is to bridge between symbolic knowledge representations and the measured data collected by sensors. In particular, one needs to map a given set of arbitrary sensor data to a particular set of symbolic knowledge representations, e.g. ontology instances. This task is particularly challenging due to the vast variety of possible sensor measurements. Conceptual Spaces (CS) provide a means to represent knowledge in geometrical vector spaces in order to enable computation of similarities between knowledge entities by means of distance metrics. We propose an approach which allows to refine symbolic concepts as CS and to ground ontology instances to so-called prototypical members which are vectors in the CS. By computing similarities in terms of spatial distances between a given set of sensor measurements and a finite set of CS members, the most similar instance can be identified. In that, we provide a means to bridge between the physical space, as observed by sensors, and the digital space made up of symbolic representations.
Keywords: Conceptual Spaces, Sensor Data, Virtual Space, Ontology.
1 Introduction
The rise of the Internet facilitates an ever increasing growth of virtual, i.e. digital spaces – distributed digital data which is loosely connected through cross-references, for instance hyperlinks, and which forms a set of distinct coherent information spaces which co-exist with the physical environment, i.e. the physical space. While the notion of digital space is often applied to virtual networking environments such as MySpace1 or SecondLife2, our definition of the term comprises any kind of structured
1 http://www.myspace.com

page 2.

knowledge or information space on the Web, whether it is made up of data stored via XML or relational database models, or structured linked data, formally represented through Semantic Web (SW) standards such as OWL [28] or RDF [29].
In that, the question arises, how physical and digital space can interact synchronously, what is particularly important when considering the fact that digital spaces in many cases represent physical ones, and hence, evolution of the physical space requires synchronous evolution of the digital one and vice versa.
Current and next generation wireless communication technologies encourage widespread use of well-connected sensor-driven devices which in fact produce sensor data by observing and measuring physical environments. This has already lead to standardization efforts, such as the ones by the Sensor Web Enablement Working Group3 of the Open Geospatial Consortium (OGC)4. While sensors provide a means to continuously observe physical environments, several issues arise with respect to mapping sensor data to digital spaces, i.e. knowledge representations as described above.
Whereas sensor data usually relies on measurements of perceptual characteristics to describe real-world phenomena, knowledge representations represent real-world entities through symbols. The symbolic approach – i.e. describing symbols by using other symbols, without a grounding in perceptual dimensions of the real world – leads to the so-called symbol grounding problem [12] and does not entail meaningfulness, since meaning requires both the definition of a terminology in terms of a logical structure (using symbols) and grounding of symbols to a perceptual level [3][17].
In that, the challenge is to bridge between formal symbolic knowledge representations and the measured data collected by sensors by mapping a given set of arbitrary sensor data to a particular set of symbolic representations. This task is particularly challenging due to the vast variety of possible data sets.
Conceptual Spaces (CS) [10] follow a theory of describing knowledge in geometrical vector spaces which are described by so-called quality dimensions to bridge between the perceived and the symbolic world. Representing instances as vectors, i.e. members in a CS provides a means to compute similarities by means of spatial distance metrics.
We propose a two-fold knowledge representation approach which extends symbolic knowledge representations through a refinement based on CS. This is achieved based on an ontology which allows to refine symbolic concepts as CS and to ground instances to so-called prototypical members, i.e. prototypical vectors, in the CS. The resulting set of CS is formally represented as part of the ontology itself. By computing similarities in terms of spatial distances between a given set of sensor measurements and the finite set of prototypical members, the most similar instance can be identified. In that, our approach provides a means to bridge between the real- world - as observed and measured by sensor data - and symbolic representations within the digital space.
The remainder of the paper is organized as follows: Section 2 introduces the symbol grounding problem in the context of sensor data, while our representational
2 http://www/secondlife.com 3 http://www.opengeospatial.org/projects/groups/sensorweb 4 http://www.opengeospatial.org/


THESE TWO PHOTOS ARE BUT ONE; ONLY ONE PHOTO.
THE SECOND ONE IS SLIGHTLY ENHANCED. WHAT I SAW
WAS A FACE DURING THE THUNDER STORM ON OCTOBER
19, 2014. ORIENTATION 0 DEGREES.

I PLAYED WITH IT FURTHER AND FOUND ANY NUMBER OF 
SYMBOLS AND SOME NUMBERS. HAVE FUN.

NOT JUST CUBA. GOOD LUCK
AND I REALLY MEAN THAT,
ALL OF YOU.


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