CN101178707A - Multidimensional searching method and software - Google Patents
Multidimensional searching method and software Download PDFInfo
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- CN101178707A CN101178707A CNA2006101143667A CN200610114366A CN101178707A CN 101178707 A CN101178707 A CN 101178707A CN A2006101143667 A CNA2006101143667 A CN A2006101143667A CN 200610114366 A CN200610114366 A CN 200610114366A CN 101178707 A CN101178707 A CN 101178707A
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Abstract
The invention discloses a multi-dimensional searching method. The invention is characterized in that the method is based on a thesaurus list and a classification list; the on-line information and the off-line information of various networks are searched and analyzed with words through different weighting grades, so as to continuously establish and complement the relation of various words between uncontrolled words (uncontrolled words, phrases and complex phrases input by customer and searched from networks) and keywords (including key words and classification words). The most related words of each word in each word relationship is determined according to 1/X power of the total quantity, so that all the related words can be searched by X steps when any word is chosen or input, thereby providing help in searching information more accurately. The incidence relation of words comprises the incidence relation among words, and also the incidence relation established between multi-words and words according to the incidence relation among words. The PRI of the related words in each incidence relation of each word is dynamically ordered according to the information searching condition. The invention also discloses a multi-dimensional searching engine software and a six-dimensional searching engine.
Description
Technical field
The present invention relates to a kind of multidimensional searching method, is that information search is carried out on the basis by closing with word.
Background technology
Search engine provides increasing information search service for the public, but because existing search engine major part is all mainly added up based on word frequency, the user can't correctly not search the information of wanting when knowing specific keyword, and other relevant word of the word with user's input of search engine prompting neither be according to knowledge category but is simply carried out according to the front and back of the word of forming word itself relation of sewing, and makes search efficiency not high.Comprehensively carry out search index if can provide, and provide relevant explanation can help the user better to find relevant information with example based on word correct incidence relation and word frequency statistics.
Summary of the invention
The present invention overcomes in the past, and search engine can not provide the word shortcoming that relation is served, a kind of multidimensional searching method is provided, it is characterized in that based on thesaurus (typically thesaurus and each professional thesaurus of issuing) and classed thesaurus (typical) as scientific classification vocabulary by government's promulgation as government, by different weight ranks disparate networks online information and information off-line are carried out word search and analysis, constantly set up and additional free word (user's free word input and cutting in the information that searches, phrase and compound phrase) and keyword (comprising descriptor and classificating word) between various word incidence relations.1/X power according to the word sum, determine each word maximum correlation word number on every kind of word incidence relation, like this when selecting or importing any one word, by the X step just can all possible related word of limit, for search information is more accurately offered help.
These word incidence relations comprise the incidence relation between each speech, also comprise according to many speech of the foundation of the incidence relation between these speech and the speech and the incidence relation between the speech.
When word of input, just can present all related words according to different classes of relation like this by incidence relation.Provide relevant explanation can help the user better to find relevant information on each related word with example.
Described multidimensional searching method is characterized in that each word all correlation words on every kind of word incidence relation will carry out prioritization, dynamically adjusts the priority of each correlation word according to the situation of the continuous search of information.
On the word of every kind of incidence relation, also need sort according to priority, by position, size or color difference can more obvious embodiment priority difference.
Described multidimensional searching method, it is characterized in that proceeding prioritization with the incidence relation of other word after each word and its certain or some correlation words on the word incidence relation make up, according to the dynamic adjustment of situation of the continuous search of information and the priority of each correlation word.
With in the process of word search, except carrying out the information search, also use certain word and carry out information search with its related word with particular words, promptly carry out information search with a plurality of words simultaneously, with the accuracy of better locking information.When word of every increase carries out information search and other word of these word associated together also need arrange according to priority.
Described multidimensional searching method, it is characterized in that also comprising public service end and each client, except that service end possesses unified related word priority, each client also possesses independently related word priority, satisfies the user and carries out information search according to two kinds of different knowledge accumulation patterns of public's characteristics and self-characteristics.
So-called public's characteristics promptly adopt the word incidence relation channeling conduct of service end storage.So-called self-characteristics are the incidence relation priority of setting up according to user's input or the word the selected priority arrangement of input method of Chinese character (similar with) of client stores.
A kind of multi-dimensional search engine software, it is characterized in that based on formal thesaurus (typically thesaurus and each professional thesaurus of issuing) and classed thesaurus (typical) as scientific classification vocabulary by government's promulgation as government, by different weight ranks disparate networks online information and information off-line are carried out word search and analysis, constantly set up and additional free word (free word, phrase and compound phrase user input and cutting in the information that searches) and keyword (comprising descriptor and classificating word) between various word incidence relations.1/X power according to the word sum, determine each word maximum correlation word number on every kind of word incidence relation, like this when selecting or importing any one word, go on foot the just all possible related word of energy limit by X, in this process, utilize the embodiment knowledge chain that finds and each word of using in the chain relation can make that search is more accurate.
Described multi-dimensional search engine software is characterized in that each word all correlation words on every kind of word incidence relation will carry out prioritization, dynamically adjusts the priority of each correlation word according to the situation of the continuous search of information.
Described multi-dimensional search engine software, it is characterized in that proceeding prioritization with the incidence relation of other word after each word and its certain or some correlation words on the word incidence relation make up, according to the dynamic adjustment of situation of the continuous search of information and the priority of each correlation word.
Described multi-dimensional search engine software, it is characterized in that also comprising public service end and each client, except that service end possesses unified related word priority, each client also possesses independently related word priority, satisfies the user and carries out information search according to two kinds of different knowledge accumulation patterns of public's characteristics and self-characteristics.
Described multi-dimensional search engine software, it is characterized in that also comprising the function of prediction, the user is things of imagination earlier, alternative answer by selecting successively to provide then by described multi-dimensional search engine software, guess by described multi-dimensional search engine software, find representative of consumer to think the word of things in the heart at last.
Described multi-dimensional search engine software is characterized in that the advertising message and the relevant e-business capability that can provide relevant with each word.
Embodiment
Embodiment 1 (6 dimension search engine)
6 dimension search engines of the present invention, import or click a word arbitrarily, by the related relevant word of word relation, at most can all correlation words commonly used of limit by 6 associations, the user can find the keyword of oneself wishing in the process of using like this, carry out information search with single keyword, also can use keyword and one or more related word to carry out information search together.The priority of the word related with each keyword of 6 dimension search engine promptings can dynamically be adjusted according to the situation of information on the network.Also can realize the function of guessing the Word, the user thinks a speech, selects a word then at random, and is correct related by the selection of 6 steps, just can find the word of wanting.Being similar to by 6 friends finds anyone 6 to spend segmentation theories.
Claims (10)
1. multidimensional searching method, it is characterized in that based on thesaurus (typically thesaurus and each professional thesaurus of issuing) and classed thesaurus (typical) as scientific classification vocabulary by government's promulgation as government, by different weight ranks disparate networks online information and information off-line are carried out word search and analysis, constantly set up and additional free word (free word, phrase and compound phrase user input and cutting in the information that searches) and keyword (comprising descriptor and classificating word) between various word incidence relations.1/X power according to the word sum, determine each word maximum correlation word number on every kind of word incidence relation, like this when selecting or importing any one word, by the X step just can all possible related word of limit, for search information is more accurately offered help.
2. according to the multidimensional searching method described in the claim 1, it is characterized in that each word all correlation words on every kind of word incidence relation will carry out prioritization, dynamically adjust the priority of each correlation word according to the situation of the continuous search of information.
3. according to the multidimensional searching method described in the claim 1, it is characterized in that proceeding prioritization with the incidence relation of other word after each word and its certain or some correlation words on the word incidence relation make up, according to the dynamic adjustment of situation of the continuous search of information and the priority of each correlation word.
4. according to the multidimensional searching method described in the claim 2, it is characterized in that also comprising public service end and each client, except that service end possesses unified related word priority, each client also possesses independently related word priority, satisfies the user and carries out information search according to two kinds of different knowledge accumulation patterns of public's characteristics and self-characteristics.
5. multi-dimensional search engine software, it is characterized in that based on formal thesaurus (typically thesaurus and each professional thesaurus of issuing) and classed thesaurus (typical) as scientific classification vocabulary by government's promulgation as government, by different weight ranks disparate networks online information and information off-line are carried out word search and analysis, constantly set up and additional free word (free word, phrase and compound phrase user input and cutting in the information that searches) and keyword (comprising descriptor and classificating word) between various word incidence relations.1/X power according to the word sum, determine each word maximum correlation word number on every kind of word incidence relation, like this when selecting or importing any one word, go on foot the just all possible related word of energy limit by X, in this process, utilize the embodiment knowledge chain that finds and each word of using in the chain relation can make that search is more accurate.
6. according to the multi-dimensional search engine software described in the claim 5, it is characterized in that each word all correlation words on every kind of word incidence relation will carry out prioritization, dynamically adjust the priority of each correlation word according to the situation of the continuous search of information.
7. according to the multi-dimensional search engine software described in the claim 5, it is characterized in that proceeding prioritization with the incidence relation of other word after each word and its certain or some correlation words on the word incidence relation make up, according to the dynamic adjustment of situation of the continuous search of information and the priority of each correlation word.
8. according to the multi-dimensional search engine software described in the claim 6, it is characterized in that also comprising public service end and each client, except that service end possesses unified related word priority, each client also possesses independently related word priority, satisfies the user and carries out information search according to two kinds of different knowledge accumulation patterns of public's characteristics and self-characteristics.
9. according to the multi-dimensional search engine software described in the claim 5, it is characterized in that also comprising the function of prediction, the user is things of imagination earlier, alternative answer by selecting successively to provide then by described multi-dimensional search engine software, guess by described multi-dimensional search engine software, find representative of consumer to think the word of things in the heart at last.
10. according to the multi-dimensional search engine software described in the claim 5, it is characterized in that the advertising message and the relevant e-business capability that can provide relevant with each word.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2006101143667A CN101178707A (en) | 2006-11-08 | 2006-11-08 | Multidimensional searching method and software |
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2006101143667A CN101178707A (en) | 2006-11-08 | 2006-11-08 | Multidimensional searching method and software |
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| CN101178707A true CN101178707A (en) | 2008-05-14 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024027A (en) * | 2010-11-17 | 2011-04-20 | 北京健康在线网络技术有限公司 | Method for establishing medical database |
| CN102594807A (en) * | 2012-02-02 | 2012-07-18 | 江苏南亿迪纳数字科技发展有限公司 | Network gene recognition method based on entity self characteristics in information space |
| CN103136257A (en) * | 2011-11-30 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Information providing method and device thereof |
| CN103838724A (en) * | 2012-11-20 | 2014-06-04 | 百度在线网络技术（北京）有限公司 | Image search method and device |
| CN105512226A (en) * | 2015-11-30 | 2016-04-20 | 北大方正集团有限公司 | Query optimization method and device |
-
2006
- 2006-11-08 CN CNA2006101143667A patent/CN101178707A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024027A (en) * | 2010-11-17 | 2011-04-20 | 北京健康在线网络技术有限公司 | Method for establishing medical database |
| CN102024027B (en) * | 2010-11-17 | 2013-03-20 | 北京健康在线网络技术有限公司 | Method for establishing medical database |
| CN103136257A (en) * | 2011-11-30 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Information providing method and device thereof |
| CN103136257B (en) * | 2011-11-30 | 2016-09-28 | 阿里巴巴集团控股有限公司 | Information providing method and device thereof |
| CN102594807A (en) * | 2012-02-02 | 2012-07-18 | 江苏南亿迪纳数字科技发展有限公司 | Network gene recognition method based on entity self characteristics in information space |
| CN103838724A (en) * | 2012-11-20 | 2014-06-04 | 百度在线网络技术（北京）有限公司 | Image search method and device |
| CN103838724B (en) * | 2012-11-20 | 2018-04-13 | 百度在线网络技术（北京）有限公司 | Image search method and device |
| CN105512226A (en) * | 2015-11-30 | 2016-04-20 | 北大方正集团有限公司 | Query optimization method and device |
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Open date: 20080514 |