Pre-Grant Publication Number: 20070282832
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Prior Art Detail
Summary / Description
| Summary / Description | Icon is a very high-level imperative language with a rich repertoire of string and structure processing facilities. It is available on a wide range of computers and is in wide use. |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | A Brief Introduction to Icon |
| Author | David R. Hanson |
| ISBN | |
| Page Range | 359-360. |
| Medium | Journal article |
| Publication Date * | January 1, 1993 |
| URL | http://www.cs.arizona.edu/icon/... |
Notes / To Do
| Notes | Preprints of the Second ACM SIGPLAN History of Programming Languages Conference (HOPL-II), SIGPLAN Notices 28, 3 (1993), 359-360. |
Excerpt
Excerpt Icon is a very high-level imperative language with a rich repertoire of string and structure processing facilities. It is available on a wide range of computers and is in wide use.
In Icon, values, not variables, are typed. Built-in data types include numerics, character sets, strings, sets, lists, associative tables, records, and procedures. The aggregate types - sets, lists, tables, and records - can hold values of any type. Tables can be indexed by values of any type. Numerics, character sets, and strings are atomic values; operations on them produce new values. Aggregates use pointer semantics; operations on them can change existing values as well as produce new ones. Strings and aggregates can be of arbitrary size, and their sizes can change during execution. Memory management is automatic.
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Relevance
Claims
1
A system that facilitates automatic tracking of user data comprising:
a keystroke capture component that captures keystrokes in the form of a character string;
an extraction component that extracts one or more character substrings having at least a minimum length of characters from the character string;
a string analysis component that analyzes the character substrings extracted from the character string to determine a frequency of occurrence for each extracted character substring; and
an order component that orders the extracted character substrings according to at least one parameter comprising the frequency of occurrence.
Relevance
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Claim Chart
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2
The system of Claim 1, wherein the keystroke capture component captures the keystrokes for a designated period of time.
Relevance
In Icon, values, not variables, are typed. Built-in data types include numerics, character sets, strings, sets, lists, associative tables, records, and procedures. The aggregate types - sets, lists, tables, and records - can hold values of any type. Tables can be indexed by values of any type. Numerics, character sets, and strings are atomic values; operations on them produce new values. Aggregates use pointer semantics; operations on them can change existing values as well as produce new ones. Strings and aggregates can be of arbitrary size, and their sizes can change during execution. Memory management is automatic. If you are typing, there is inherently a time period involved with the period of the typing.
In Icon, values, not variables, are typed. Built-in data types include numerics, character sets, strings, sets, lists, associative tables, records, and procedures. The aggregate types - sets, lists, tables, and records - can hold values of any type. Tables can be indexed by values of any type. Numerics, character sets, and strings are atomic values; operations on them produce new values. Aggregates use pointer semantics; operations on them can change existing values as well as produce new ones. Strings and aggregates can be of arbitrary size, and their sizes can change during execution. Memory management is automatic. If you are typing, there is inherently a time period involved with the period of the typing.
Claim Chart
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3
The system of Claim 1, wherein the character string is a long, continuous string.
Relevance
Icon has numerous built-in procedures and operators that help analyze strings
Icon has numerous built-in procedures and operators that help analyze strings
Claim Chart
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4
The system of Claim 1, wherein the extraction component locates and extracts one or more repeating character substrings with at least a minimum character length that repeat at least one time.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
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5
The system of Claim 1, wherein the at least one parameter further comprises date of entry, alphabetical order, numerical order, and location of entry.
Relevance
line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts
line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts
Claim Chart
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8
The system of Claim 7 wherein the input is entered into the active browser in at least one of the following manners: typed and manual selection.
Relevance
In Icon, values, not variables, are typed. Built-in data types include numerics, character sets, strings, sets, lists, associative tables, records, and procedures. The aggregate types - sets, lists, tables, and records - can hold values of any type. Tables can be indexed by values of any type. Numerics, character sets, and strings are atomic values; operations on them produce new values. Aggregates use pointer semantics; operations on them can change existing values as well as produce new ones. Strings and aggregates can be of arbitrary size, and their sizes can change during execution. Memory management is automatic.
In Icon, values, not variables, are typed. Built-in data types include numerics, character sets, strings, sets, lists, associative tables, records, and procedures. The aggregate types - sets, lists, tables, and records - can hold values of any type. Tables can be indexed by values of any type. Numerics, character sets, and strings are atomic values; operations on them produce new values. Aggregates use pointer semantics; operations on them can change existing values as well as produce new ones. Strings and aggregates can be of arbitrary size, and their sizes can change during execution. Memory management is automatic.
Claim Chart
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9
The system of Claim 7 further comprises an input tracking component that tracks substrings which repeat at least q times over a period of time.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
Claim Chart
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14
A method that facilitates automatic tracking of user data comprising:
capturing keystrokes entered into an active web browser as a continuous string of characters;
analyzing the string of characters in order to find one or more substrings that repeat; and
recording one or more repeating substrings along with their associated entry locations and/or times of entry.
Relevance
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Claim Chart
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15
The method of Claim 14 further comprises arranging the one or more repeating substrings by frequency of occurrence.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
Claim Chart
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16
The method of Claim 14 further comprises determining a context of the one or more repeating substrings.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts.
Claim Chart
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17
The method of Claim 14 further comprises monitoring and tracking user input as it entered, the user input comprising repeating and non-repeating substrings.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Icon is a very high-level imperative language with a rich repertoire of string and structure processing facilities. It is available on a wide range of computers and is in wide use.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Icon is a very high-level imperative language with a rich repertoire of string and structure processing facilities. It is available on a wide range of computers and is in wide use.
Claim Chart
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19
The method of Claim 14 further comprises extracting field character strings from their respective web form fields; and increasing their counts respectively as additional occurrences of the field character strings are observed.
Relevance
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Claim Chart
All
20
A system that facilitates automatic tracking of user data comprising:
means for capturing keystrokes in the form of a character string;
means for extracting one or more character substrings having at least a minimum length of characters from the character string;
means for analyzing the character substrings extracted from the character string to determine a frequency of occurrence for each extracted character substring; and
means for ordering the extracted character substrings according to at least one parameter comprising the frequency of occurrence.
Relevance
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Icon has numerous built-in procedures and operators that help analyze strings. Many of these take strings and positions as operands and return strings or positions. Positions denote locations between characters. Strings can be analyzed by manipulating positions explicitly, but Icon's string scanning facility eliminates the need for most explicit positions. The expression s ? e establishes s as the subject to which string processing operations in e apply. The expression e typically includes string analysis operations, but may include any operation. This program prints the k most commonly used words. Line 2 sets k to the command-line argument, if there is one and it is a legal integer, or to 10. Line 3 assigns an associative table to words; the argument to table specifies each entry's initial value. This table accumulates the frequency counts. Line 4 reads in lines and uses getword to generate the words in each line, which index words. The operator +:= increments its left operand. sort(words, 4) in line 5 returns the contents of the table words in a list sorted in increasing order by the frequency counts. Indices and their count values alternate in this list, which is assigned to words. Line 6 prints the counts and words for the k most frequently used words by pulling them off the end of the list, which also shortens the list. pull fails when the list is empty, in case there are not k words.
Claim Chart
All
