DK200301926A - Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge - Google Patents

Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge Download PDF

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Publication number
DK200301926A
DK200301926A DK200301926A DKPA200301926A DK200301926A DK 200301926 A DK200301926 A DK 200301926A DK 200301926 A DK200301926 A DK 200301926A DK PA200301926 A DKPA200301926 A DK PA200301926A DK 200301926 A DK200301926 A DK 200301926A
Authority
DK
Denmark
Prior art keywords
knowledge
ontology
search
dissemination
management system
Prior art date
Application number
DK200301926A
Other languages
Danish (da)
Inventor
Eskebaek Thomas
Original Assignee
Eskebaek Thomas
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Eskebaek Thomas filed Critical Eskebaek Thomas
Priority to DK200301926A priority Critical patent/DK200301926A/en
Priority to PCT/DK2004/000856 priority patent/WO2005062202A2/en
Publication of DK200301926A publication Critical patent/DK200301926A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/3332—Query translation
    • G06F16/3338—Query expansion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367—Ontology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis

Description

CLAIMS 1. A method of performing knowledge extraction from natural language text docu¬ ments including the steps of: reading an input text; using semantic based means for extracting concepts and their interrelations from said input text; transforming said input text into a machine understandable knowledge representa¬ tion so as to provide knowledge libraries from said documents; and optionally storing said libraries characterised by using a defined ontology to specify possible semantic relations, providing knowledge structures consisting of an arbitrary number of concepts and their interrelations; and using a predetermined mapping between words in the input text and concepts and relations in the ontology. 2. A method according to claim 1 characterised by using said ontology to con¬ trol the knowledge extraction process. 3. A method according to claim 1 or 2 characterised in that the used ontology being adapted to determine if a concept is a generalisation or a specialisation of another concept. 4. A method according to any of claims 1 to 3 characterised In that the used on¬ tology being adapted to specify non-hierarchic relations between concepts. 5. A method according to any of the preceding claims characterised by storing of stacks during said knowledge extraction. 6. A method according to claim 5 characterised by connecting said stacks to each other. 7. A method according to any of the preceding claims characterised by using descriptors to represent the semantic knowledge in pieces of said input text. 8. A method according to claim 7 characterised in that a number of descriptors are allowed for given pieces of input text. 9. A method according to claims 7 or 8 characterised in that the building of at least one of the descriptors is broken off at the middle of said input text and a new de¬ scriptor is created for the remainder of the input text. 10. A method according to any of claims 7 to 9 characterised by connecting de¬ scriptors from consecutive parts of said input text. 11. A method according to any of claims 7 to 10 characterised by defining a pivot point for a descriptor whenever a pivot concept is combined with said descriptor. 12. A method according to any of claims 7 to 11 characterised by said descriptors being graded according to a semantic distance scoring. 13 A method according to any of claims 7 to 12 characterised by said descriptors being graded according to a sentence distance scoring. 14. A method according to any of claims 7 to 13 characterised in that said de¬ scriptors being graded according to a linguistic grammar scoring. 15. A method according to any of the preceding claims characterised by extract¬ ing several adjacent words as a single concept. 16. A method according to any of the preceding claims characterised by words and their conceptual meaning being added to the ontology. 17. A method according to claim 16 characterised by words and their conceptual meaning automatically being added to the ontology by means of a lexical inquiry. 18. A method according to any of the preceding claims characterised by said pre¬ determined mapping allowing for skipping of irrelevant words. 19. A method according to any of the preceding claims characterised by using non-word relations. 20 A method according to any of the preceding claims characterised by skipping at least one sentence element. 21. A method according to any of the preceding claims characterised by delaying a sentence element in order to firstly combine with a following sentence element 22. A method according to any of the preceding claims characterised by adding a neural network to the knowledge extraction method. 23. A method for iteratively searching knowledge structures characterised by per¬ forming a conceptual searching by use of said defined ontology. 24. A method according to claim 23 characterised in that a knowledge search re¬ turns occurrences of a given concept and concepts that it subsumes. 25. A method according to claim 23 or 24 characterised in that a knowledge search returns occurrences of a given concept and concepts by which it is subsumed. 26. A method according to any of claims 23 to 25 characterised in that a knowl¬ edge search for a concept is performed in accordance with, preferably constrained by, a word that instantiates the concept. 27. A method according to any of claims 23 to 26 characterised in that a knowl¬ edge search includes inverted relations. 28. A method according to any of claims 23 to 27 characterised in that a search includes the semantic equivalences of concepts and relations.CLAIMS 1. A method of performing knowledge extraction from natural language text documents including the steps of: reading an input text; using semantic based means for extracting concepts and their interrelations from said input text; transforming said input text into a machine understandable knowledge representation so as to provide knowledge libraries from said documents; and optionally storing said libraries characterized by using a defined ontology to specify possible semantic relations, providing knowledge structures consisting of an arbitrary number of concepts and their interrelations; and using a predetermined mapping between words in the input text and concepts and relationships in the ontology. A method according to claim 1 characterized by using said ontology to control the knowledge extraction process. A method according to claim 1 or 2 characterized in that the used ontology is adapted to determine if a concept is a generalization or a specialization of another concept. 4. A method according to any of claims 1 to 3 characterized in that the used technology is adapted to specify non-hierarchical relations between concepts. A method according to any of the preceding claims characterized by failure of stacks during said knowledge extraction. 6. A method according to claim 5 characterized by connecting said stacks to each other. A method according to any of the preceding claims characterized by using descriptors to represent the semantic knowledge in pieces of said input text. 8. A method according to claim 7 characterized in that a number of descriptors are allowed for given pieces of input text. A method according to claims 7 or 8 characterized in that the building of at least one of the descriptors is broken off in the middle of said input text and a new descriptor is created for the remainder of the input text. A method according to any of claims 7 to 9 characterized by connecting descriptors from consecutive parts of said input text. 11. A method according to any of claims 7 to 10 characterized by defining a pivot point for a descriptor whenever a pivot concept is combined with said descriptor. 12. A method according to any of claims 7 to 11 characterized by said descriptors being graded according to a semantic distance scoring. 13 A method according to any of claims 7 to 12 characterized by said descriptors being graded according to a sentence distance scoring. 14. A method according to any of claims 7 to 13 characterized in that said descriptors are graded according to a linguistic grammar score. 15. A method according to any of the preceding claims characterized by extracting several adjacent words as a single concept. 16. A method according to any of the preceding claims characterized by words and their conceptual meaning being added to the ontology. 17. A method according to claim 16 characterized by words and their conceptual meaning automatically being added to the ontology by means of a lexical inquiry. 18. A method according to any of the preceding claims characterized by said pre-determined mapping allowing for skipping of irrelevant words. 19. A method according to any of the preceding claims characterized by using non-word relations. A method according to any of the preceding claims characterized by skipping at least one sentence element. 21. A method according to any of the preceding claims characterized by delaying a sentence element in order to firstly combine with a subsequent sentence element 22. A method according to any of the preceding claims characterized by adding a neural network to the knowledge extraction method. 23. A method for iteratively searching knowledge structures characterized by forming a conceptual search using the defined ontology. 24. A method according to claim 23 characterized in that a knowledge search reverts occurrences of a given concept and concepts that it subsumes. 25. A method according to claim 23 or 24 characterized in that a knowledge search returns occurrences of a given concept and concepts by which it is subsumed. 26. A method according to any of claims 23 to 25 characterized in that a knowledgeable edge search for a concept is performed in accordance with, preferably constrained by, a word that instantiates the concept. 27. A method according to any of claims 23 to 26 characterized in that a knowledgeable search includes inverted relations. 28. A method according to any of claims 23 to 27 characterized in that a search includes the semantic equivalents of concepts and relations.

DK200301926A 2003-12-23 2003-12-23 Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge DK200301926A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
DK200301926A DK200301926A (en) 2003-12-23 2003-12-23 Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge
PCT/DK2004/000856 WO2005062202A2 (en) 2003-12-23 2004-12-10 Knowledge management system with ontology based methods for knowledge extraction and knowledge search

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DK200301926A DK200301926A (en) 2003-12-23 2003-12-23 Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge

Publications (1)

Publication Number Publication Date
DK200301926A true DK200301926A (en) 2005-06-24

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Family Applications (1)

Application Number Title Priority Date Filing Date
DK200301926A DK200301926A (en) 2003-12-23 2003-12-23 Knowledge management system with ontology-based methods for the dissemination of knowledge and the search for knowledge

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DK (1) DK200301926A (en)
WO (1) WO2005062202A2 (en)

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CN112084323A (en) * 2020-07-31 2020-12-15 中国民用航空上海航空器适航审定中心 Airworthiness approval collaborative work platform and method

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CA2741212C (en) 2011-05-27 2020-12-08 Ibm Canada Limited - Ibm Canada Limitee Automated self-service user support based on ontology analysis
CA2767676C (en) 2012-02-08 2022-03-01 Ibm Canada Limited - Ibm Canada Limitee Attribution using semantic analysis
CN102819858B (en) * 2012-07-30 2015-07-01 北京中科盘古科技发展有限公司 Method for organizing and applying cartoon material
MY188005A (en) * 2012-11-29 2021-11-09 Mimos Berhad A system and method for automated generation of contextual revised knowledge base
US10535003B2 (en) * 2013-09-20 2020-01-14 Namesforlife, Llc Establishing semantic equivalence between concepts
MY181677A (en) 2014-05-05 2020-12-31 Mimos Berhad System and method for generating knowledge base automatically
CN104035917B (en) * 2014-06-10 2017-07-07 复旦大学 A kind of knowledge mapping management method and system based on semantic space mapping
CN104298658B (en) * 2014-10-29 2017-11-17 百度在线网络技术（北京）有限公司 The method and apparatus for obtaining search result
WO2016156995A1 (en) * 2015-03-30 2016-10-06 Yokogawa Electric Corporation Methods, systems and computer program products for machine based processing of natural language input
CN107256227B (en) * 2017-04-28 2018-12-21 北京神州泰岳软件股份有限公司 Semantic concept spread generating method and device towards knowledge content
CN107203512B (en) * 2017-06-02 2021-04-23 上海对岸信息科技有限公司 Method for extracting key elements from natural language input of user
CN109347798A (en) * 2018-09-12 2019-02-15 东软集团股份有限公司 Generation method, device, equipment and the storage medium of network security knowledge map
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CN112084323A (en) * 2020-07-31 2020-12-15 中国民用航空上海航空器适航审定中心 Airworthiness approval collaborative work platform and method
CN112084323B (en) * 2020-07-31 2024-03-12 中国民用航空上海航空器适航审定中心 Airworthiness approval cooperative work platform and method

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Publication number Publication date
WO2005062202A3 (en) 2005-11-17
WO2005062202A2 (en) 2005-07-07

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