Method for creating content oriented databases and content files
First Claim
1. A system for managing knowledge acquisition from electronic databases, comprising:
- i. a filtering engine for analyzing smart search results, such that relevant information fragments are tagged according to professional terminology and content specific cues;
ii. a mapping engine for allocating said relevant information fragments, provided by said filtering engine, to knowledge nodes, thereby enabling the virtual creation of content files; and
iii. a content editing tool for enabling a human content editor to create a database of said smart search results, and categorizing unmapped said information fragments on said knowledge nodes, such that a modular structure of knowledge is formed;
iv. a content oriented database system for storing said content files, said database of smart search results, a database of pointers to paragraphs, a database of said modular structure of knowledge, and an hierarchy of professional terminologies according to word groups in a specific field of knowledge; and
v. a user interface for enabling user interaction with said content oriented database system, such that said user can navigate within said modular structure using outlines.
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Abstract
A system and method for enhancing both the retrieval and the acquisition of knowledge from electronic databases, incorporating content expertise, linguistics, and search technology. Unlike the current content-neutral technologies, the new invention presents a platform for an automated construction of content-oriented databases, where knowledge is organized according to content, rather than according to its initial sources. The invention includes an innovative platform for an automated reorganization of knowledge, where the system automatically filters, slices, maps and links fragments of the initial files onto a modular structure of knowledge. Eventually, the system virtually substitutes the initial source files by content-files, where all of the relevant fragments from all relevant source-files are automatically integrated and hung onto the relevant node of a modular structure of knowledge. From the user'"'"'s viewpoint, the new invention offers to substitute the concept of “search” by the concept of “mapping,” such that instead of running Boolean searches, the user is guided to the relevant pieces of information via a map of links, which reflects the modular structure of the relevant field of knowledge. Because each node is linked to a content-file, the user is further guided to relevant fragments of information, with no need to engage in time consuming costly search-processes.
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Citations
22 Claims
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1. A system for managing knowledge acquisition from electronic databases, comprising:
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i. a filtering engine for analyzing smart search results, such that relevant information fragments are tagged according to professional terminology and content specific cues;
ii. a mapping engine for allocating said relevant information fragments, provided by said filtering engine, to knowledge nodes, thereby enabling the virtual creation of content files; and
iii. a content editing tool for enabling a human content editor to create a database of said smart search results, and categorizing unmapped said information fragments on said knowledge nodes, such that a modular structure of knowledge is formed;
iv. a content oriented database system for storing said content files, said database of smart search results, a database of pointers to paragraphs, a database of said modular structure of knowledge, and an hierarchy of professional terminologies according to word groups in a specific field of knowledge; and
v. a user interface for enabling user interaction with said content oriented database system, such that said user can navigate within said modular structure using outlines. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for categorizing information online, based on the inner structure of texts, comprising the steps of:
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i. identifying keywords that are related to a content specific field of knowledge;
ii. enhancing each said keyword with alternative terms for conveying said keyword'"'"'s idea; and
iii. placing said terms within a table system that assigns every node which conveys a professional idea to a table of word groups, such that a table of paragraphs is allocated to each said professional idea. - View Dependent Claims (12, 13, 14, 18, 19, 20, 22)
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15. A method of filtering textual data into a modular structure of knowledge, comprising the steps of:
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i. defining professional ideas in a specific field of knowledge;
ii. collecting all relevant terminologies to define said ideas in word groups;
iii. if said word group combinations do not appear within a paragraph, filtering out said paragraph;
iv. if said word group combination appears within a paragraph, tagging said paragraph to a relevant node in a node table to which said word groups belong;
v. if content specific cues appear within a paragraph, filtering out said cues;
vi. tagging paragraphs that remain after said filtering procedure, such that said paragraphs are linked to nodes within a modular structure of knowledge; and
vii. activating paragraphs that are linked to a same node in said node table via said node content table, within a content file, when the user navigates to said node.
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16. A method for tracking and filing personal and public content into one integrated knowledge base, such that users can save and share knowledge searches, comprising the steps of:
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i. defining ideas within a personal modular structure of knowledge in a node table;
ii. allocating word groups that define ideas using alternative terminologies in a word group table;
iii. organizing said ideas using a hierarchical relationship within said node table;
iv. collecting a database of sources that deal with a personal topic of interest in said document table; and
v. employing a modular structure of knowledge to a personal database, such that said user creates a personalized paragraph table and a personalized node content table.
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17. An engine for searching pre-analyzed content files, such that search queries are executed on the content files, providing highly accurate results in an accelerated time-frame, comprising:
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i. a database system for storing documents in their original format;
ii. a content oriented database for storing links to fragments of said documents, such that said fragments are filtered and mapped onto a modular structure of knowledge;
iii. a user interface for enabling user interaction with the said database system;
iv. a server system for processing queries from said user interface, and serving the results of said queries to users;
v. a software application that supports the dynamic and virtual retrieval of content files.
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21. A method of automatically defining a body of knowledge, comprising the steps of:
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i. defining professional terms that convey content specific ideas;
ii. defining alternative expressions that convey said professional ideas;
iii. dividing said body of knowledge into information fragments;
iv. filtering said information fragments according to usage of said professional terms;
v. tagging every information fragment that contains said professional terms, such that said paragraph inherits said professional term'"'"'s identity;
vi. when two or more professional terms appear in one paragraph and convey different content specific meaning, providing said paragraph with all said different meanings, such that more than one professional idea in said node table will be assigned to said paragraph. vii. when two or more “
professional terms”
appear in one information fragment and have different levels of relevance, providing said information fragments with the level of relevance according to the highest rated professional term within the modular structure of knowledge;
viii. tagging relevant information fragments with the meaning they inherited from the professional terms that they contain; and
ix. tagging said relevant paragraphs with the level of relevance they inherit from the professional term that they contain.
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Specification