User:Ray3055

Patents

• Patents not encyclopedic????

https://en.wikipedia.org/wiki/List_of_Nikola_Tesla_patents https://en.wikipedia.org/wiki/List_of_Edison_patents https://en.wikipedia.org/wiki/List_of_software_patents

Pioneering work

• Automatic Text Summarization edited by Juan-Manuel Torres-Moreno Forward by A Zamora & R Salvador (explain early manual methods and Chemical Abstracts Service and their first computer algorithms for producing abstracts early 70's) John Wiley & Sons, 25 Sep 2014 - Computers - 320 pages

https://orcid.org/0000-0003-0293-0829 - small bio - self edited??

Abstracting and Indexing (1971-1975)

Automatic abstracting and indexing. II. Production of indicative abstracts by application of contextual inference and syntactic coherence criteria JE Rush, R Salvador, A Zamora - Journal of the American …, 1971 - Wiley Online Library Together with the increasing shortage of qualified abstractors, the factors of time, cost and value have lent impetus to a trend toward the automatic generation of abstracts and indexes. This trend has caused increased emphasis to be placed on the abstract as the locus of data …

 *Cited by 141 Related articles All 8 versions

Automatic abstracting research at chemical abstracts service JJ Pollock, A Zamora - Journal of Chemical Information and …, 1975 - ACS Publications Many attempts have been made to abstract original doc-uments by computer but none has succeeded in producing abstracts approaching good manual abstracts in quality. Moreover, given the present state of linguistic theory, it does not seem likely that a program capable of …

 *Cited by 131 Related articles All 4 versions

PATHFINDER II (1976)

PATHFINDER II. A Computer Program That Generates Wiswesser Line Notations for Complex Polycyclic Structures Antonio Zamora Tommy Ebe Journal of Chemical Information and Modeling 1976,16,1,36-39 DOI: 10.1021/ci60005a012 https://doi.org/10.1021/ci60005a012

• https://pdfs.semanticscholar.org/a02e/86940360b3592f25bef370ddb0ae819a9745.pdf - W J Wisswesser article refers to PATHFINDER original algorithm (PATHFINDER ll was 10 times faster) also DOW's CHECKER and ICI's CROSSBOW

SSSR (1976)

In 1976 he published an algorithm for finding the Smallest Set of Smallest Rings (SSSR).

An Algorithm for Finding the Smallest Set of Smallest Rings Antonio Zamora Journal of Chemical Information and Computer Sciences 1976 16 (1), 40-43 DOI: 10.1021/ci60005a013 including an algorithm for determining the Smallest Set of Smallest Rings, a cheminformatics term for the minimal cycle basis of a molecular graph.

https://www.semanticscholar.org/author/Antonio-Zamora/3326784

https://www.semanticscholar.org/paper/A-Revisited-Definition-of-the-Three-Solute-Related-Laffort/bd4232893a4becf2f512ae576bfdc90c5febb704/figure/4 Uses Zamora's SSSR coefficient (Smallest Set of Smallest Rings)

1977-1985

On editorial board of journal: Member of the advisory board of the Journal of Chemical Information and Computer Sciences from 1977 to 1985. (from his own CV - verify?)

SPEEDCOP (1980-1984)

The purpose of the project was to automatically correct spelling errors, predominantly typing errors, in a database of scientific abstracts. For each word in a dictionary, a key is computed consisting of the first letter, followed by the consonant letters in order of occurrence, followed by the vowel letters in order of occurrence, each letter recorded once only, e.g. inoculation will produce a key INCLTOUA, the keys are sorted in order. The key of each word in the text is compared with the dictionary keys and if no exact match is found it compares with keys either side to find a probable match. The use of the key reduces the portion of the dictionary that has to be considered. ^[1]

• Zamora carried out pioneering research on the SPEEDCOP (SPElling Error Detection correction Project); the project was supported by National Science Foundation (NSF) at Chemical Abstracts Service (CAS) and extracted over 50,000 misspellings from approximately 25,000,000 words of text from seven scientific and scholarly databases.

^[2]

Automatic spelling correction in scientific and scholarly text JJ Pollock, A Zamora - Communications of the ACM, 1984 - dl.acm.org The study of computerized correction of spelling errors has a relatively long history and remains of considerable current interest if regularly appearing papers on the topic are any gauge. Whereas early papers focused on the correction of output from optical character …

 *Cited by 321 Related articles All 3 versions

The use of trigram analysis for spelling error detection EM Zamora, JJ Pollock, A Zamora - Information Processing & Management, 1981 - Elsevier Work performed under the SPElling Error Detection COrrection Project (SPEEDCOP) supported by National Science Foundation (NSF) at Chemical Abstracts Service (CAS) to devise effective automatic methods of detecting and correcting misspellings in scholarly and …

 *Cited by 148 Related articles All 3 versions

• Collection and characterization of spelling errors in scientific and scholarly text

JJ Pollock, A Zamora - Journal of the American Society for …, 1983 - Wiley Online Library Abstract The SPEEDCOP (SPEIIing Error Detection correction Project) project recently completed at Chemical Abstracts Service (CAS) extracted over 50,000 misspellings from approximately 25,000,000 words of text from seven scientific and scholarly databases. The …

 *Cited by 96 Related articles All 7 versions

http://www.dcs.bbk.ac.uk/~roger/spellchecking.html see below: based on a chapter from his book English Spelling and the Computer, published by Longman, 1996, and now available online at Birkbeck ePrints. The article was first published in the Journal of the Simplified Spelling Society, Vol 20, No 1, 1996, pp 4-11.

2.3 The SPEEDCOP system The purpose of the SPEEDCOP project was to devise a way of automatically correcting spelling errors - predominantly typing errors - in a very large database of scientific abstracts (Pollock and Zamora 1984). A key was computed for each word in the dictionary. This consisted of the first letter, followed by the consonant letters of the word, in the order of their occurrence in the word, followed by the vowel letters, also in the order of their occurrence, with each letter recorded only once; for example, the word xenon would produce the key XNEO and inoculation would produce INCLTOUA. The words in the dictionary were held in key order, as illustrated by the small section shown in Figure 2.

PLTDOE plotted PLTE pellet PLTEI pelite PLTIO pilot PLTNGAI plating PLTNSUO plutons PLTNUO pluton PLTOU poult Figure 2 A section of the SPEEDCOP dictionary When the system was given a misspelling, such as platin, it computed the key of the misspelling and found its place in the dictionary. In this example, the key of platin would be PLTNAI, which would come between PLTIO and PLTNGAI. Moving alternately forwards and backwards from that point, it compared the misspelling with each of the words to see if the misspelling could be a single-error variation on that word, until either it had found a possible correction or had moved more than fifty words away from its starting point. The SPEEDCOP researchers found that, if the required word was in the dictionary, it was generally within a few words of the starting point. In the example, the corrector would quickly find the word plating as a possible correction (platin being an omission-error variant of plating).

The Soundex code and the SPEEDCOP key are ways of reducing to a manageable size the portion of the dictionary that has to be considered. Confining the search to words of the same length (plus or minus one) restricts the search even further. The price to be paid is that, if the required word is outside the set of those considered, the corrector is not going to find it.

Natural Language Processing (1989)

Parser for natural language text A Zamora, MD Gunther, EM Zamora - US Patent 4,887,212, 1989 - Google Patents An improved natural language text parser is disclosed which provides syntactic analysis of text using a fast and compact technique. Sequential steps of word isolation, morphological analysis and dictionary look-up combined with a complement grammar analysis, are applied …

 Cited by 351 Related articles All 2 versions 

Career

In his retirement Zamora has also self-published a science fiction book^[3], and several small books while investigating the Carolina Bays^[4][5][6]; in his 2017 paper "A model for the geomorphology of the Carolina Bays" he proposed that the "Carolina Bays are the remodeled remains of oblique conical craters formed on ground liquefied by the seismic shock waves of secondary impacts of glacier ice boulders ejected by an extraterrestrial impact on the Laurentide Ice Sheet".^[7] His research was based on geometrical analysis of the Carolina Bays using Google Earth in combination with LiDAR data.^[8] The theory is not widely accepted. Many other theories have been proposed to account for their formation.^[9][10]. See main article Carolina bay.

• Other viewpoints

https://mysteriousuniverse.org/2017/03/were-the-carolina-bays-formed-by-frozen-debris-from-a-comet-impact/

• Abstract

Geometrical analysis of the Carolina Bays using Google Earth in combination with LiDAR data makes it possible to postulate that the bays formed as the result of impacts, rather than from eolian and lacustrine processes. The Carolina Bays are elliptical conic sections with width-to-length ratios averaging 0.58 that are radially oriented toward the Great Lakes region. The radial distribution of ejecta is one characteristic of impacts, and the width-to-length ratios of the ellipses correspond to cones inclined at approximately 35°, which is consistent with ballistic trajectories from the point of convergence. These observations, and the fact that these geomorphological features occur only on unconsolidated soil close to the water table, make it plausible to propose that the Carolina Bays are the remodeled remains of oblique conical craters formed on ground liquefied by the seismic shock waves of secondary impacts of glacier ice boulders ejected by an extraterrestrial impact on the Laurentide Ice Sheet. Mathematical analysis using ballistic equations and scaling laws relating yield energy to crater size provide clues about the magnitude of the extraterrestrial event. An experimental model elucidates the remodeling mechanisms and provides an explanation for the morphology and the diverse dates of the bays.

• full copy online

https://cosmictusk.com/wp-content/uploads/A-model-for-the-geomorphology-of-the-Carolina-Bays.pdf

References

References

https://arc.aiaa.org/doi/abs/10.2514/6.2004-950