CN101193069A - Information inquiry system, instant communication robot server and information inquiry method - Google Patents
Information inquiry system, instant communication robot server and information inquiry method Download PDFInfo
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Abstract
The invention discloses an information query system, an information query method and an instant messaging robot server. The information query system includes an instant messaging client which is used for sending a problem sent by an instant messaging user, to the instant messaging robot server and receiving and displaying an answer from the instant messaging robot server, the instant messaging robot server which is used for converting the problem from the instant messaging client into a operation command which can be identified by an information query server and converting an operation result from the information query server into the answer in the format of natural language, and the information query server which is used for carrying out the corresponding processing according to the operation command from the instant messaging robot server and returning the processing result to the instant messaging robot server. Therefore the instant messaging user can carry out various types of information queries by using the natural language with the instant messaging robot server in the mode of chat without complicated operation.
Description
Technical field
The present invention relates to instant messaging (IM, Instant Messaging) technology, specially refer to information query system, IM robot server and information query method based on IM.
Background technology
Constantly surging along with China Stock Markets, the stock query software since its contain much information, representation is abundant, advantage such as instant quick is subjected to liking of numerous stock investers.Function stock query softwares such as the inquiry that stock mainly is provided of multiple specialty and dealing have appearred at present.
Yet, most client/server (C/S) frameworks that adopt of traditional stock query software, the user at first needs to install the client software of stock query software if will use the stock query software.The main process of using stock inquiring client terminal software to carry out stock inquiry and Stock Trading comprises: the stock inquiring client terminal is at first bought stock query requests or stock or sell by network and asks to send to stock query software server; By stock query software server stock inquiry or the dealing server that request is sent to official bought or sold to the stock query requests or the stock that are received again; Then, stock inquiry or dealing server carry out corresponding operating according to the request that is received, and promptly inquire about corresponding stock information or carry out corresponding stock and buy or sell operation; At last, stock inquiry or dealing server return to stock query software client by stock query software server with operating result.In the aforesaid operations process, the user must be in the face of complicated various menu item, carry out complicated various operation and just can carry out the inquiry and the dealing of stock, and generally, the stock query software can not be resolved natural language, this software that requires the user of stock query software to possess the comparison specialty uses knowledge, thereby is very disadvantageous to new hand.In addition, when the stock query software carried out software upgrading, the user also must be from stock query software upgrade server download client software upgrade package or patch, and with the expansion client functionality, otherwise client software can't normally use.
Summary of the invention
The invention provides information query system, instant communication robot server and information query method, make the user can use natural language to carry out information inquiry based on instant messaging.
Information query system of the present invention comprises: instant communication client, instant communication robot server and Gopher; Wherein,
Instant communication client is used for the problem that instant communication users sends is sent to instant communication robot server, and reception and demonstration are from the answer of instant communication robot server;
Instant communication robot server is used for the problem from instant communication client is converted to the operational order that Gopher can be discerned, and in the future the operating result of self information querying server is converted to the answer of natural language form;
Gopher is used for basis to be handled accordingly from the operational order of instant communication robot server, and result is returned to instant communication robot server.
Wherein, described instant communication robot server is further used for judging whether the problem from instant communication users being converted to the operational order that Gopher can be discerned, if can not, then return query and be prompted to described instant communication client;
Described instant communication client is further used for showing the query prompting from instant communication robot server.
Described Gopher is the stock inquiry and the dealing server of official.
Instant communication robot server of the present invention comprises:
Word-dividing mode is used for the interrogative sentence that receives is carried out participle, and marks the part of speech of each speech;
Described synonym normalized module is used for the synonym table of preserving according to self each speech after to participle and carries out the synonym normalized;
Described information extraction modules is used for the nomenclature preserved according to self each speech after to the synonym normalized and carries out information extraction;
Described operational order generation module, the information that is used for extracting according to information extraction modules generates the operational order that Gopher can be discerned, and operational order is sent to described Gopher;
Described information generating module is used to receive the result from Gopher, generates the information of natural language form, sends to instant communication client.
Information query method of the present invention comprises:
A, instant communication client are sent to instant communication robot server with the problem that instant communication users sends;
B, instant communication robot server are converted to the operational order that Gopher can be discerned to the problem from instant communication client;
C, Gopher basis are handled from the operational order of described instant communication robot server, and result are returned described instant communication robot server;
The result of D, instant communication robot server self information querying server in future is converted to the form of natural language, is sent to instant communication client, and shows.
Step B further comprises: instant communication robot server judges whether the problem that is received to be converted to the operational order that Gopher can be discerned, if can not, then return query and be prompted to described instant communication client, and show described query prompting by described instant communication client.
The described conversion of step B comprises: the problem to the instant communication users input is carried out participle, marks each speech part of speech; Synonym table each speech after to participle according to self storage carries out the synonym normalized; Nomenclature each speech after to the synonym normalized according to self storage carries out information extraction, and is the operational order of reference format with the information translation of extracting.
Described synonym normalized comprises: the speech that will have the identical meaning according to the synonym table of self preserving replaces with same synonym.
This shows, by information query system of the present invention and method, instant communication users can carry out various types of information inquiries in the mode of chat with natural language and demand communication robot, neither need to carry out loaded down with trivial details operation, do not need to remember the complicated technology term yet, thereby greatly increased the service experience of instant communication users.
In addition, compare with the stock query software of existing C/S pattern, when instant communication robot server was upgraded, instant communication users also need not its instant communication client of upgrading, thereby can not bring any additional work to instant communication users.
Description of drawings
To make clearer above-mentioned and other feature and advantage of the present invention of those of ordinary skill in the art by describe exemplary embodiment of the present invention in detail with reference to accompanying drawing below, in the accompanying drawing:
Fig. 1 is the described stock price query system structural representation of the embodiment of the invention;
Fig. 2 is described stock inquiry of the embodiment of the invention or buying-selling method flow chart;
Fig. 3 carries out the method flow diagram that natural language is resolved for the described instant communication robot server of the embodiment of the invention;
Fig. 4 is the structural representation of the described instant communication robot server of the embodiment of the invention.
Embodiment
In recent years, the IM technology has obtained vigorous growth, and also emerging with the IM technology at present is the IM Robotics of core.These IM robots possess certain artificial intelligence (AI), can make corresponding answer according to the problem that IM user proposes, such as, if where IM user asks Tengxun of IM robot, IM user Tengxun will be answered in Shenzhen according to the information search result in the network by the IM robot.By the IM robot, the IM system can provide more various effective service for IM user.
The present invention has provided a kind of information query system, this information query system combines IM Robotics and information query technique, use the method for artificial intelligence and natural language processing, one of hypothesis is specifically designed to the information inquiry robot that carries out information inquiry and realizes information inquiry on IM.
For making purpose of the present invention, technical scheme clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, the present invention is described in further detail.
In order to solve the problems in outstanding shares inquiry and the Stock Trading process, one embodiment of the present of invention have provided a kind of information query system that realizes stock inquiry and/or Stock Trading, its structure mainly comprises as shown in Figure 1: IM client, IM robot server and the stock inquiry and the dealing server that are mounted with the IM robot.
In the present embodiment, as a virtual I M user, for it distributes a number of the account, the IM client can add as contact person's mode by the IM robot with described number of the account correspondence and load the IM robot in the IM client described information query system with the IM robot.With similar with other contact persons' interactive mode, after the IM robot is added as the contact person of self, IM user just can be on any one computer that the IM client software is housed carries out information interaction by chat window and described IM robot, to realize information inquiry.
In the described information query system of present embodiment, described IM client is used for IM user is sent to the IM robot server in the problem of the natural language form that sends to the IM robot of chat window inediting, and receives the answer from the natural language form of IM robot server;
Described IM robot server is used for the problem from the natural language form of IM client is carried out the natural language dissection process, if can correctly handle described problem, then will be converted to the operational order that stock inquiry and dealing server can be discerned from the problem of IM client, for example, stock querying command or Stock Trading order are sent to described stock inquiry and dealing server; If can not correctly handle described problem, then return corresponding query and be prompted to described IM client according to the mistake in the natural language dissection process process, simultaneously described IM robot server also is used for being converted to the form of natural language from the operating result of stock inquiry and dealing server, sends to described IM client as the answer of problem;
Described stock inquiry and dealing server are the stock inquiry and the dealing server of official, be used for according to operational order from described IM robot server, for example, stock querying command or Stock Trading order, handle accordingly, and with result, the stock information that for example inquires and the result of Stock Trading etc. returns to described IM robot server.
Based on above-mentioned information query system, an alternative embodiment of the invention gives the method that realizes stock inquiry or dealing.The prerequisite of implementing described stock inquiry of present embodiment or buying-selling method is that IM user adds as the IM robot contact person of self in advance.As shown in Figure 2, described method mainly comprises:
Step 10:IM client is sent to the IM robot server with IM user in the problem to the natural language form that sends to the IM robot of the chat window inediting of IM robot;
Step 20:IM robot server carries out the natural language dissection process to the problem from the natural language form of IM client, judge whether to be the operational order that stock inquiry and dealing server can be discerned with the problem analysis that is received, if can resolve described problem, then execution in step 30; Otherwise execution in step 70;
Step 30:IM robot server will be converted to from the problem of the natural language form of IM client, and the operational order after will changing is sent to described stock inquiry and dealing server;
In step 30, described operational order is that order is bought or sold to stock querying command or the stock that stock inquiry and dealing server can be discerned;
Step 40: stock inquiry and dealing server be according to handling accordingly from the operational order of described IM robot server, and result etc. is returned to described IM robot server;
Can to be stock inquiry and dealing server receive the result of ordering the stock information that inquires or stock to buy or sell according to institute to the described result of this step;
Step 50:IM robot server will be converted to the form of natural language from the result of stock inquiry and dealing server, be sent to the IM client as the answer of described problem;
This step is described, and to be converted to the processing of natural language form fairly simple, do not need to carry out semantic analysis, directly described result is combined into sentence and gets final product;
Step 60: described IM client is presented at the answer at described problem of the natural language form that received in the chat window to this IM robot, finishes then;
Step 70: return corresponding query according to the mistake in natural language dissection process process and be prompted to described IM client; Execution in step 80 then;
In this step, described query prompting also is the natural language form;
Step 80: described IM client is pointed out the query that is received in the chat window that is presented at this IM robot, finishes then.
To describe above-mentioned steps 20 described IM robot servers below for example and carry out the method that natural language is resolved.As shown in Figure 3, described method mainly comprises:
Step 201: loading system sets in advance in IM robot server end program start synonym table and nomenclature;
The described synonym table of this step is the table of the identical speech of record, and by described synonym table, the IM robot server just can be to carrying out the problem after the synonym normalized obtains synonym normalization from IM user's problem.
For example, if IM user has imported " what Shenzhen Development Bank's stock today dark A-share price is? " in the chat window to the IM robot problem.After the IM client is sent to the IM robot server with described problem, it is synonym that the IM robot server at first finds " today " in speech " today " and the synonym table in the problem, and carry out the synonym normalized, obtain after the synonym normalization problem " how many dark A-share prices of Shenzhen Development Bank's stock today is? "Though the text before and after handling is different, the implication of expression is identical, like this, carries out more helping information processing after the synonym normalized.
The described nomenclature of this step is the nomenclature of stock, comprises the list of all stocks, above-mentioned " how many dark A-share prices of Shenzhen Development Bank's stock today is? " the speech " Shenzhen Development Bank " of problem the inside and " A-share " are just in nomenclature.
Step 202: the problem to IM user's input is divided sentence type.
In this step, the IM robot server is divided into one of following several types according to the problem of IM user's input with the sentence that is received:
1) English sentence: all be English sentence;
2) yes-no question: provide one certainly, whether inquiry sets up then.For example whether " your family has two people? "
3) alternative question: the question sentence that provides two or more selections.Such as " deep bid has risen or has fallen ";
4) time question sentence: the question sentence of query time;
5) place question sentence: the question sentence in inquiry place;
6) things question sentence: the question sentence of inquiring certain persons or things;
7) declarative sentence: state the sentence of something, such as " today, weather was pretty good! ".
For above-mentioned IM user input " how many dark A-share prices of Shenzhen Development Bank's stock today is? " problem can be divided into the things question sentence.
Step 203: the sentence of dividing after the type is handled, because the IM robot only handles question sentence, then if english sentence or declarative sentence, directly execution in step 209 is returned wrong prompting to the IM client; If question sentence is then carried out following steps.
Step 204: the problem to IM user's input is carried out participle, and marks each speech part of speech behind participle.
For above-mentioned IM user input " how many dark A-share prices of Shenzhen Development Bank's stock today is? " problem is through obtaining following each speech behind the participle: noun " Shenzhen Development Bank ", noun " stock ", noun " today ", stop words " ", noun " deeply ", noun " A-share ", noun " price ", verb "Yes", adverbial word " how much " and stop words " ".
The described stop words of this step (Stop Word) typically refers to the conjunction that occurs in the text, preposition, article etc. and there is no too big meaning, and to the little speech of semanteme influence of sentence.These speech self there is no clear and definite meaning usually, and only putting it in the complete sentence just has certain effect, and for example: stop words commonly used in English has the, a, it etc.; Common in Chinese have a "Yes", " ", " " etc.In natural language processing, can ignore to stop words usually, adopt the method for directly removing to handle.
Step 205: the problem of IM user's input is carried out stop words filter.
For above-mentioned noun " Shenzhen Development Bank ", noun " stock ", noun " today ", stop words " ", the speech that obtains after filtering through stop words of noun " deeply ", noun " A-share ", noun " price ", verb "Yes", adverbial word " how much " and stop words " " is as follows: noun " Shenzhen Development Bank ", noun " today ", noun " deeply ", noun " A-share ", noun " price ".
Step 206: carry out the synonym normalized according to the synonym table that loads.
In this step, the IM robot server can be according to synonym table, and the synonym that will have the identical meaning all replaces to same speech.
The noun " Shenzhen Development Bank " that obtains for step 205, noun " today ", noun " deeply ", noun " A-share ", noun " price " are normalized to synonym " today " with noun " today " wherein after through the synonym normalized, obtain the result and are noun " Shenzhen Development Bank ", noun " today ", noun " deeply ", noun " A-share ", noun " price ".
Step 207: carry out information extraction according to the nomenclature that loads.
Described information extraction is specially: according to the sentence type of the problem of IM user input, judge all conditions that extracts Query Information according to the nomenclature that loads, extract these information then, be combined into the interrogate format of official's server.
For the noun as a result " Shenzhen Development Bank " that obtains in step 206 in the above-mentioned example, noun " today ", noun " deeply ", noun " A-share ", noun " price " by scanning coupling with nomenclature, carry out information extraction after, obtain following information:
Command code: the command code of inquiry share price;
Time: today, be defaulted as current time;
Stock: Shenzhen Development Bank;
Stock market: dark A-share.
Step 208: the information translation that step 207 is extracted is that reference format obtains official's stock inquiry and buys and sells the operational order that server can be discerned.
Another embodiment of the present invention gives a kind of IM robot server of realizing that natural language is resolved, its internal structure mainly comprises as shown in Figure 4: sentence type is divided module 301, word-dividing mode 302, stop words filtering module 303, synonym normalized module 304, information extraction modules 305, operational order generation module 306 and information generating module 307.
Wherein, described sentence type is divided module 301 and is used for the problem of IM user's input is divided into one of following several types: English sentence, yes-no question, alternative question, time question sentence, place question sentence, things question sentence and declarative sentence, and after dividing type, the interrogative sentence that IM user is imported outputs to word-dividing mode 302; The non-interrogative sentence of IM user's input is outputed to information generating module 307;
Described word-dividing mode 302 is used for the interrogative sentence of IM user's input is carried out participle, and in each speech part of speech of mark;
Described stop words filtering module 303 is used for filtering the stop words of each speech behind the participle;
Described synonym normalized module 304 is preserved synonym table, is used for carrying out the synonym normalized according to the synonym table of preserving to having filtered each speech behind the stop words;
Described information extraction modules 305 is preserved nomenclature, is used for according to the nomenclature of preserving carrying out information extraction through each speech after the synonym normalized;
The information that described operational order generation module 306 is used for extracting according to described information extraction modules generates the operational order that Gopher can be discerned, and the operational order that generates is sent to described Gopher;
Described information generating module 307 is used to receive the processing structure from Gopher on the one hand, generate the information of natural language form, send to the IM client, be used on the other hand receive the non-interrogative sentence that sentence type is divided module 301 outputs, to IM client feedback miscue information.
From the foregoing description as can be seen, though above-mentioned stock information inquiry system is compared with traditional stock query software with method, information source is identical, be that information is all inquired about and the dealing server from the stock of official, but, IM user can carry out information inquiry in the mode of chat with natural language and IM robot, neither needs to carry out loaded down with trivial details operation, does not also need to remember the complicated technology term.In addition, when the IM robot server is upgraded, IM user's its IM client that need not to upgrade, thereby bring any additional work can not for IM user.
To the described stock information querying method of the foregoing description be described by two concrete examples below.
For example 1:IM user to the inquiry of IM robot " how many present Shenzhen stock market A-share valencys of Liu Dehua is? "
The detailed process of described stock information inquiry is as follows:
The IM client is directly issued the IM robot server with the query statement of IM user's input;
The IM robot server carries out the natural language dissection process, finds not have to cry the stock of " Liu Dehua " after the natural language dissection process;
The IM robot server returns information " the stock Liu De China that does not have you to inquire about " to the IM client.
The IM client shows described information " the stock Liu De China that does not have you to inquire about " IM user in to the chat window of IM robot.
For example the 2:IM user inquiring to the inquiry of IM robot " how many present Shenzhen stock market A-share valencys of Shenzhen Development Bank is? "
The detailed process of described stock information inquiry is as follows:
The IM client is directly issued the IM robot server with the query statement of IM user's input;
The IM robot server carries out the natural language dissection process, and the query statement of IM user's input is inquired about and buy and sell the operational order that server can be discerned from the formal transformation of natural language for official's stock, then, issues stock inquiry and dealing server;
Stock inquiry and dealing server carry out corresponding operating according to the operational order that is received to be handled, and promptly inquires about the share price of dark A-share Shenzhen Development Bank current time, and the share price of the dark A-share Shenzhen Development Bank current time that will inquire returns to the IM robot server;
The IM robot server is handled the stock inquiry and is bought and sold the result that server returns, and the share price of promptly dark A-share Shenzhen Development Bank current time is converted to the understandable natural language form of IM user with described result, and returns to the IM client;
The IM client is showing " share price of dark A-share Shenzhen Development Bank current time be * * * " in to the chat window of IM robot IM user.
The embodiment of the invention described above is that example describes with the stock inquiry, it will be appreciated by those skilled in the art that, if the IM robot server is connected to the Gopher that other can carry out information inquiry, information query system of the present invention and method can also be carried out the information inquiry of other types.For example, if the IM robot server is connected to the Weather information querying server of preserving Weather information, then IM user can obtain current weather condition by chatting with the IM robot with the form of natural language.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. an information query system is characterized in that, comprising: instant communication client, instant communication robot server and Gopher; Wherein,
Instant communication client is used for the problem that instant communication users sends is sent to instant communication robot server, and reception and demonstration are from the answer of instant communication robot server;
Instant communication robot server is used for the problem from instant communication client is converted to the operational order that Gopher can be discerned, and in the future the operating result of self information querying server is converted to the answer of natural language form;
Gopher is used for basis to be handled accordingly from the operational order of instant communication robot server, and result is returned to instant communication robot server.
2. information query system according to claim 1 is characterized in that,
Described instant communication robot server is further used for judging whether the problem from instant communication users being converted to the operational order that Gopher can be discerned, if can not, then return query and be prompted to described instant communication client;
Described instant communication client is further used for showing the query prompting from instant communication robot server.
3. information query system according to claim 1 and 2 is characterized in that, described Gopher is the stock inquiry and the dealing server of official.
4. an instant communication robot server is characterized in that, comprising:
Word-dividing mode is used for the interrogative sentence that receives is carried out participle, and marks the part of speech of each speech;
Described synonym normalized module is used for the synonym table of preserving according to self each speech after to participle and carries out the synonym normalized;
Described information extraction modules is used for the nomenclature preserved according to self each speech after to the synonym normalized and carries out information extraction;
Described operational order generation module, the information that is used for extracting according to information extraction modules generates the operational order that Gopher can be discerned, and operational order is sent to described Gopher;
Described information generating module is used to receive the result from Gopher, generates the information of natural language form, sends to instant communication client.
5. instant communication robot server according to claim 4 is characterized in that, further comprises:
Sentence type is divided module, and the problem that is used for receiving is divided into interrogative sentence and non-interrogative sentence, and interrogative sentence is outputed to described word-dividing mode, and non-interrogative sentence is outputed to described information generating module;
Described information generating module is further used for receiving the non-interrogative sentence that sentence type is divided module output, to instant communication client feedback error information.
6. according to claim 4 or 5 described instant communication robot servers, it is characterized in that, further comprise:
The stop words filtering module is used for filtering the stop words of each speech behind the participle, and each speech after will filtering through stop words send to described synonym normalized module and carry out the synonym normalized.
7. an information query method is characterized in that, comprising:
A, instant communication client are sent to instant communication robot server with the problem that instant communication users sends;
B, instant communication robot server are converted to the operational order that Gopher can be discerned to the problem from instant communication client;
C, Gopher basis are handled from the operational order of described instant communication robot server, and result are returned described instant communication robot server;
The result of D, instant communication robot server self information querying server in future is converted to the form of natural language, is sent to instant communication client, and shows.
8. method according to claim 7 is characterized in that step B further comprises:
Instant communication robot server judges whether the problem that is received to be converted to the operational order that Gopher can be discerned, if can not, then return query and be prompted to described instant communication client, and show described query prompting by described instant communication client.
9. method according to claim 7 is characterized in that, the described conversion of step B comprises:
Problem to the instant communication users input is carried out participle, marks each speech part of speech;
Synonym table each speech after to participle according to self storage carries out the synonym normalized;
Nomenclature each speech after to the synonym normalized according to self storage carries out information extraction, and is the operational order of reference format with the information translation of extracting.
10. information query method according to claim 9 is characterized in that, described synonym normalized comprises: the speech that will have the identical meaning according to the synonym table of self preserving replaces with same synonym.
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