CN104699828A - Atomic-word knowledge management method - Google Patents
Atomic-word knowledge management method Download PDFInfo
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- CN104699828A CN104699828A CN201510147161.8A CN201510147161A CN104699828A CN 104699828 A CN104699828 A CN 104699828A CN 201510147161 A CN201510147161 A CN 201510147161A CN 104699828 A CN104699828 A CN 104699828A
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- 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
- G06F16/35—Clustering; Classification
Abstract
The invention discloses an atomic-word knowledge management method. The method includes: S1, splitting atomic words, namely further splitting subjects into atomic words according to units and knowledge points; S2, atomic-word classification, namely dividing the split atomic words into entity words and attribute words; S3, atomic-word storage, namely digitalizing information prior to compositing and writing into a database after the atomic words are classified; S4, atomic-word operations, namely dividing the atomic-word operations into atomic-word calculation and atomic-word combination; S5, atomic-word extension, namely performing extension of other subjects, the units and the knowledge points by taking the atomic words as a foreign key; S6, atomic-word training, namely performing targeted training by taking the atomic words as a primary key retrieval atomic word library; S7, atomic-word examination, namely performing targeted examinations by taking the atomic words as the primary key retrieval atomic word library.
Description
Technical field
The present invention relates to Knowledge Management Domain, particularly relate to split based on atom word, classification, warehouse-in, operation, expansion, training and the process such as examination the method for atom word information management.
Background technology
At present, information management is often with the administrative unit that knowledge point is minimum, and namely each learns or teaching method, or information management, its minimum administrative unit is knowledge point, then forms blocks of knowledge by knowledge point, blocks of knowledge recomposition subject, then form subject by subject.
In the design of current teaching program, substantially the design that knowledge point is minimum administrative unit is all depended on, some are had to be also the design of minimum administrative unit with blocks of knowledge, though its content is many, but be difficult to form effective, science, the orderly structure of knowledge, it has just become the learning management instrument of a spoon-feed, huge piles and piles of knowledge is stacked in a database.
In today that electronic instruction equipment is constantly weeded out the old and bring forth the new, using knowledge point as the method for designing of minimum unit, due in knowledge point, a lot of knowledge points is at different subjects, or there is the polyisomenism of the structure of knowledge in the different unit of same subject, and be not easy to the thinking of the deduction of knowledge, reasoning, combination, conclusion, the science such as summary and review as the mode of minimum administrative unit using knowledge point, this is difficult to have given play to the greater role of computer in learning management, teaching management and information management.
At present, also someone proposes way knowledge point being split into again atom word, but because it just simply splits, and atom word could not be carried out the classification of entity word and attribute word, do not carry out splitting, classify, put in storage, operate, expand yet, the further research and implementation of special topic training and specialization examination, it is difficult to make relevant systems and procedure further.
Deeply all can there is revolutionary progress in refinement each time, from the development of molecules, to discovery and the atomistic maturation of atom, invariably disclose same reason.If from knowledge point to the atom word than knowledge point more refinement, and the atom word management and application of real meaning can be realized in atom word, it will be a comparatively insoluble problem.
Summary of the invention
In order to solve the problem, the invention provides the method for a kind of atom word information management, it comprises the steps: that S1 atom word splits, and subject is split as atom word more further according to behind unit, knowledge point; S2 atom word is classified, and the atom word after splitting is divided into entity word and the large class of attribute word two; S3 atom word is put in storage, after the classification of atom word, synthesizes write into Databasce by after the information digitalization of above-mentioned two steps; S4 atom word operates, and atomize word computing and the large generic operation of atom word combination two; S5 atom word is expanded, with atom word for external key carries out the expansion with other subject, unit, knowledge point; S6 atom word is trained, and with atom word for major key retrieval atom word exam pool, carries out special topic training targetedly; S7 atom word is taken an examination, and with atom word for major key retrieval atom word exam pool, takes an examination targetedly.
The invention discloses the method for a kind of atom word information management, it comprises the steps:
Step S1 atom word splits, and subject is split as atom word more further according to behind unit, knowledge point;
Step S2 atom word is classified, and the atom word after splitting is divided into entity word and the large class of attribute word two;
Step S3 atom word is put in storage, after the classification of atom word, synthesizes write into Databasce by after the information digitalization of above-mentioned two steps;
Step S4 atom word operates, and atomize word computing and the large generic operation of atom word combination two;
Step S5 atom word is expanded, with atom word for external key carries out the expansion with other subject, unit, knowledge point;
Step S6 atom word is trained, and with atom word for major key retrieval atom word exam pool, carries out special topic training targetedly;
Step S7 atom word is taken an examination, and with atom word for major key retrieval atom word exam pool, takes an examination targetedly.
In step S2, after atom word being divided into entity word and the large class of attribute word two, for each entity word is according to the actual conditions configuration common property word of entity word, normal attribute word, variable attribute word and Custom Attributes word; Wherein common property word is to refer to atomic kernel pronouns, general term for nouns, numerals and measure words beyond itself and to resolve and this entity atom word analyticity information describes, normal attribute word refers to and comprises attribute word, formula attribute word, axiom attribute word and defined attribute word by the attribute atom word that attribute no longer changes after determining; Variable attribute word refers to that the attribute of atom word changes and the attribute word of change with certain environment variable, comprises quantitative attribute word, time attribute word; Custom Attributes word comprises the attribute atom word that above-mentioned classification still could not be determined.
The information digitalization of step S3 comprises subject corresponding to split process, unit, knowledge point, the entity word of assorting process and attribute word and adopts code name, atom word divides the corresponding storage respectively of different fields according to title, attribute, brief introduction, explanatory note, caption, audio description, video specification simultaneously, picture, Voice & Video respectively corresponding naming rule are that atom word adds serial number, and its file suffixes is determined with actual storage form.
The operation of step S4 atom word comprises sub-step S41 computing and step S42 combines two step by step.
One or two and above combination that step S41 computing comprises the following steps and arrangement: S411 concludes, S412 compares, S413 analogy, S414 reasoning and S415 deduce.
Step S42 combination comprises that step S421 atom word extracts, step S422 atom word and set of properties synthesis knowledge point, step S423 are combined into unit, and correspond to corresponding subject according to section's object corresponding relation.
The expansion of step S5 atom word comprises with atom word for keyword carries out associating expansion with one or two and the plural combination in the subject with same atoms word beyond non-subject own, unit or knowledge point.
It is the atom word of core is keyword that the training of step S6 atom word comprises entity class atom word, retrieval request is sent to relevant exam pool, exam pool carries out the feedback of exercise question according to the index of retrieval request and exam pool, carries out special topic train by the sequence of agreement to learner with asked atom word for core; The examination of step S7 atom word is identical with the principle of step S6, and searching object becomes examination pool from training exam pool.
Accompanying drawing explanation
The method overall procedure schematic diagram of a kind of atom word of Fig. 1 information management.
Fig. 2 atom word classification schematic diagram.
Embodiment
As Fig. 1, the method for a kind of atom word information management, it comprises the steps:
Step S1 atom word splits, and subject is split as atom word more further according to behind unit, knowledge point;
Step S2 atom word is classified, and the atom word after splitting is divided into entity word and the large class of attribute word two;
Step S3 atom word is put in storage, after the classification of atom word, synthesizes write into Databasce by after the information digitalization of above-mentioned two steps;
Step S4 atom word operates, and atomize word computing and the large generic operation of atom word combination two;
Step S5 atom word is expanded, with atom word for external key carries out the expansion with other subject, unit, knowledge point;
Step S6 atom word is trained, and with atom word for major key retrieval atom word exam pool, carries out special topic training targetedly;
Step S7 atom word is taken an examination, and with atom word for major key retrieval atom word exam pool, takes an examination targetedly.
As Fig. 2, in step S2, after atom word being divided into entity word and the large class of attribute word two, for each entity word is according to the actual conditions configuration common property word of entity word, normal attribute word, variable attribute word and Custom Attributes word; Wherein common property word is to refer to atomic kernel pronouns, general term for nouns, numerals and measure words beyond itself and to resolve and this entity atom word analyticity information describes, normal attribute word refers to and comprises attribute word, formula attribute word, axiom attribute word and defined attribute word by the attribute atom word that attribute no longer changes after determining; Variable attribute word refers to that the attribute of atom word changes and the attribute word of change with certain environment variable, comprises quantitative attribute word, time attribute word; Custom Attributes word comprises the attribute atom word that above-mentioned classification still could not be determined.
As Fig. 1, the information digitalization of step S3 comprises subject corresponding to split process, unit, knowledge point, the entity word of assorting process and attribute word and adopts code name, atom word divides the corresponding storage respectively of different fields according to title, attribute, brief introduction, explanatory note, caption, audio description, video specification simultaneously, picture, Voice & Video respectively corresponding naming rule are that atom word adds serial number, and its file suffixes is determined with actual storage form.
As Fig. 1, the operation of step S4 atom word comprises sub-step S41 computing and step S42 combines two step by step.
As Fig. 1, one or two and above combination that step S41 computing comprises the following steps and arrangement: S411 concludes, S412 compares, S413 analogy, S414 reasoning and S415 deduce.
As Fig. 1, step S42 combination comprises that step S421 atom word extracts, step S422 atom word and set of properties synthesis knowledge point, step S423 are combined into unit, and correspond to corresponding subject according to section's object corresponding relation.
As Fig. 1, the expansion of step S5 atom word comprises with atom word for keyword carries out associating expansion with one or two and the plural combination in the subject with same atoms word beyond non-subject own, unit or knowledge point.
As Fig. 1, it be the atom word of core is keyword that the training of step S6 atom word comprises entity class atom word, retrieval request is sent to relevant exam pool, exam pool carries out the feedback of exercise question according to the index of retrieval request and exam pool, carries out special topic train by the sequence of agreement to learner with asked atom word for core; The examination of step S7 atom word is identical with the principle of step S6, and searching object becomes examination pool from training exam pool.
Above-described embodiment is a specific embodiment of the present invention, and the present invention is applicable to the same or analogous embodiment of other principle equally.
Claims (8)
1. a method for atom word information management, its feature comprises, and it comprises the steps:
Step S1 atom word splits, and subject is split as atom word more further according to behind unit, knowledge point;
Step S2 atom word is classified, and the atom word after splitting is divided into entity word and the large class of attribute word two;
Step S3 atom word is put in storage, after the classification of atom word, synthesizes write into Databasce by after the information digitalization of above-mentioned two steps;
Step S4 atom word operates, and atomize word computing and the large generic operation of atom word combination two;
Step S5 atom word is expanded, with atom word for external key carries out the expansion with other subject, unit, knowledge point;
Step S6 atom word is trained, and with atom word for major key retrieval atom word exam pool, carries out special topic training targetedly;
Step S7 atom word is taken an examination, and with atom word for major key retrieval atom word exam pool, takes an examination targetedly.
2. the method for a kind of atom word according to claim 1 information management, its feature comprises, in described step S2, after atom word being divided into entity word and the large class of attribute word two, for each entity word is according to the actual conditions configuration common property word of entity word, normal attribute word, variable attribute word and Custom Attributes word; Wherein common property word is to refer to atomic kernel pronouns, general term for nouns, numerals and measure words beyond itself and to resolve and this entity atom word analyticity information describes, normal attribute word refers to and comprises attribute word, formula attribute word, axiom attribute word and defined attribute word by the attribute atom word that attribute no longer changes after determining; Variable attribute word refers to that the attribute of atom word changes and the attribute word of change with certain environment variable, comprises quantitative attribute word, time attribute word; Custom Attributes word comprises the attribute atom word that above-mentioned classification still could not be determined.
3. the method for a kind of atom word according to claim 1 information management, its feature comprises, the information digitalization of described step S3 comprises subject corresponding to split process, unit, knowledge point, the entity word of assorting process and attribute word and adopts code name, atom word divides the corresponding storage respectively of different fields according to title, attribute, brief introduction, explanatory note, caption, audio description, video specification simultaneously, picture, Voice & Video respectively corresponding naming rule are that atom word adds serial number, and its file suffixes is determined with actual storage form.
4. the method for a kind of atom word according to claim 1 information management, its feature comprises, and described step S4 atom word operation comprises sub-step S41 computing and step S42 combines two step by step.
5. the method for a kind of atom word according to claim 4 information management, its feature comprises, one or two and above combination that described step S41 computing comprises the following steps and arrangement: S411 concludes, S412 compares, S413 analogy, S414 reasoning and S415 deduce.
6. the method for a kind of atom word according to claim 4 information management, its feature comprises, described step S42 combination comprises that step S421 atom word extracts, step S422 atom word and set of properties synthesis knowledge point thereof, step S423 are combined into unit, and correspond to corresponding subject according to section's object corresponding relation.
7. the method for a kind of atom word according to claim 1 information management, its feature comprises, and described step S5 atom word expansion comprises with atom word for keyword carries out associating expansion with one or two and the plural combination in the subject with same atoms word beyond non-subject own, unit or knowledge point.
8. the method for a kind of atom word according to claim 1 information management, its feature comprises, it be the atom word of core is keyword that described step S6 atom word training comprises entity class atom word, retrieval request is sent to relevant exam pool, exam pool carries out the feedback of exercise question according to the index of retrieval request and exam pool, carries out special topic train by the sequence of agreement to learner with asked atom word for core; The examination of step S7 atom word is identical with the principle of step S6, and searching object becomes examination pool from training exam pool.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701221A (en) * | 2016-01-15 | 2016-06-22 | 陈杰 | A method doing classification mapping for various synonymous terms of different standards |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102479235A (en) * | 2010-11-30 | 2012-05-30 | 成都致远诺亚舟教育科技有限公司 | Associated search method and system of chemical knowledge |
| CN102737039A (en) * | 2011-04-07 | 2012-10-17 | 北京百度网讯科技有限公司 | Index building method, searching method and searching result sorting method and corresponding device |
| CN102968913A (en) * | 2012-09-21 | 2013-03-13 | 无敌科技(西安)有限公司 | Visual association learning system and method for historical knowledge |
-
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102479235A (en) * | 2010-11-30 | 2012-05-30 | 成都致远诺亚舟教育科技有限公司 | Associated search method and system of chemical knowledge |
| CN102737039A (en) * | 2011-04-07 | 2012-10-17 | 北京百度网讯科技有限公司 | Index building method, searching method and searching result sorting method and corresponding device |
| CN102968913A (en) * | 2012-09-21 | 2013-03-13 | 无敌科技(西安)有限公司 | Visual association learning system and method for historical knowledge |
Non-Patent Citations (1)
| Title |
|---|
| 王洪俊等: ""人民金典"语义检索系统实现方法和技术", 《中国传媒科技》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701221A (en) * | 2016-01-15 | 2016-06-22 | 陈杰 | A method doing classification mapping for various synonymous terms of different standards |
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