CN102937966A - Finding and consuming related data - Google Patents

Finding and consuming related data Download PDF

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Publication number
CN102937966A
CN102937966A CN2012103829455A CN201210382945A CN102937966A CN 102937966 A CN102937966 A CN 102937966A CN 2012103829455 A CN2012103829455 A CN 2012103829455A CN 201210382945 A CN201210382945 A CN 201210382945A CN 102937966 A CN102937966 A CN 102937966A
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CN
China
Prior art keywords
data
recommendation
action
computer
services
Prior art date
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CN2012103829455A
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Chinese (zh)
Inventor
A·N·比切
J·芬尼根
L·艾斯波弗
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微软公司
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Priority to US201161545882P priority Critical
Priority to US61/545,882 priority
Priority to US13/331,991 priority
Priority to US13/331,991 priority patent/US20130091163A1/en
Application filed by 微软公司 filed Critical 微软公司
Publication of CN102937966A publication Critical patent/CN102937966A/en

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Abstract

The invention relates to a method, a system and a computer program product for finding and consuming the related data. The data related/relevant with the accessed data set is found by a user without leaving the application context. The data set and user profile information and environmental information (e.g., operation systems while in use, and executed tasks) are analyzed and understood (classified) by the service. The recommendation on the related/relevant and/or the related/relevant data service is displayed in the applications (e.g., electronic spreadsheets, database and file systems) by the service. In response to the recommended selection of the user, the related/relevant data (directly being one data service or any one of the data services) is transferred to the application. Thus, the related/relevant is transferred into the application without making the user leave the application to search the data.

Description

Find and the consumption related data

The cross reference of related application

The rights and interests of 61/545, No. 882 U.S. Provisional Patent Application that the application requires is 11 that submit to October in 2011, be entitled as " DISCOVERING AND CONSUMING RELATED DATA(finds and the consumption related data) ", this application integral body is contained in this.

Technical field

The application relates to discovery and consumption related data.

Background

1. 1. background and correlation technique

Unify many aspects of related technology affect society of department of computer science.Really, the ability of computer system processor information has changed the mode of people's live and works.Computer system is carried out many tasks (for example, word processing, schedule and accounting etc.) of manually carrying out now usually before computer system occurs.Recently, computer system is coupled to each other and be coupled to other electronic equipments to form department of computer science's other electronic equipments wired and radio computer network of transmission electronic data thereon of unifying.Therefore, the execution of many calculation tasks is distributed in a plurality of different computer systems and/or a plurality of different computing environment.

When user's service data collection, the user generally is required to go to and find value to be added to related data and/or the data resource of data set.Find that data and/or data resource generally are manual and are the process of some trouble for the user.

For example, when the service data collection, the market demand that the user generally leaves them (for example, word processing program, electrical form, database) and the data centralization of using research tool (for example, based on Web search engine) to find that they can be taken to them add related data and/or the data resource of value.Generally also need the user to provide correlated inputs to make research tool seek related data and/or data resource to research tool with research tool.In addition, research tool generally lacks and anyly is used to improve information (for example, user's context) to the search of related data and/or data resource about the user.

Brief overview

The present invention relates to for method, system and the computer program of finding and consume related data.Data handling utility detects the user and has accessed a data set as a part of carrying out appointed task in this data handling utility.Detect data set accessed after, automatically and not need user intervention, backstage analysis module recommending data is expanded the value of the data set of accessing.

With lower one or more analyzed identify semantic with location other data relevant with the data set of being accessed: the data set of being accessed, user's profile information, appointed task and the historical data of being correlated with the data set of being accessed.Come (for example, from data directory) to locate other related data and/or data, services based on the semanteme that identifies.Present the recommendation for each other related data and/or data, services at the display device place.How relevant with the semanteme that identifies each recommendation other related data of indication and/or data, services be.

Receive the user selection to the recommendation that presents at the display device place.The backstage analysis module is sent to other related data and/or data the data handling utility for using in data handling utility from data, services.The data that transmit are corresponding with selected recommendation.

Provide this general introduction so that some concepts that will in the following detailed description, further describe with the form introduction of simplifying.Content of the present invention is not to be intended to identify key feature or the essential feature of theme required for protection, is not intended to for the scope that helps to determine theme required for protection yet.

Supplementary features of the present invention and advantage will be narrated in the following description, and its part will be apparent according to this instructions, maybe can be by practice of the present invention is known.The features and advantages of the present invention can realize and obtain by the instrument that particularly points out in appended claims and combination.These and other features of the present invention will become more apparent by the following description and the appended claims book, maybe can be by described practice of the present invention is hereinafter understood.

The accompanying drawing summary

In order to describe the mode that can obtain above-mentioned and other advantage of the present invention and feature, will present the of the present invention of above concise and to the point description by the specific embodiments of the invention shown in reference to the accompanying drawings and more specifically describe.Be appreciated that these accompanying drawings only describe exemplary embodiments of the present invention, thereby be not considered to the restriction to its scope that the present invention will be by describing with supplementary features and details with accompanying drawing and illustrating, in the accompanying drawings:

Fig. 1 illustrates the example computer architecture of being convenient to find and consume related data.

Fig. 2 illustrates for the process flow diagram of finding and consume an exemplary method of related data.

Fig. 3 A-3C illustrates for another example of finding and consuming related data.

Describe in detail

The present invention relates to for method, system and the computer program of finding and consume related data.Data handling utility detects the user and has accessed a data set as a part of carrying out appointed task in this data handling utility.Detect data set accessed after, automatically and not need user intervention, backstage analysis module recommending data is expanded the value of the data set of accessing.

With lower one or more analyzed identify semantic with location other data relevant with the data set of being accessed: the data set of being accessed, user's profile information, appointed task and the historical data of being correlated with the data set of being accessed.Come (for example, from data directory) to locate other related data and/or data, services based on the semanteme that identifies.Present the recommendation for each other related data and/or data, services at the display device place.How relevant with the semanteme that identifies each recommendation other related data of indication and/or data, services be.

Receive the user selection to the recommendation that presents at the display device place.The backstage analysis module is sent to other related data and/or data the data handling utility for using in data handling utility from data, services.The data that transmit are corresponding with selected recommendation.

Various embodiments of the present invention can comprise or utilize special use or multi-purpose computer, and this special use or multi-purpose computer comprise such as computer hardwares such as one or more processors, system storage and display device, and be as discussed in detail below.Each embodiment in the scope of the invention also comprises physics and other computer-readable mediums for carrying or storage computer executable instructions and/or data structure.Such computer-readable medium can be can be by any usable medium of universal or special computer system accesses.The computer-readable medium of storage computer executable instructions is computer-readable storage medium (equipment).The computer-readable medium of load capacity calculation machine executable instruction is transmission medium.Thus, and unrestricted, various embodiments of the present invention can comprise at least two kinds of remarkable different computer-readable mediums: computer-readable storage medium (equipment) and transmission medium as example.

Computer-readable storage medium (equipment) comprise storer, other optical disc storage, disk storage or other magnetic storage apparatus of RAM, ROM, EEPROM, CD-ROM, solid state drive (SSD) (as based on RAM), flash memory, phase transition storage (PCM), other type or can be used for storing computer executable instructions or data structure form required program code devices and can be by any other medium of universal or special computer access.

" network " is defined as allowing one or more data link of transmission electronic data between computer system and/or module and/or other electronic equipments.When information exchange crosses that network or another communication connection (hardwired, wireless or hardwired or wireless combination) is transmitted or when offering computing machine, this computing machine should connect and suitably was considered as transmission medium.Transmission medium can comprise the required program code devices that can be used for carrying computer executable instructions or data structure form and can be by network and/or the data link of universal or special computer access.Above-mentioned combination also should be included in the scope of computer-readable medium.

In addition, after arriving various computer system components, the program code devices of computer executable instructions or data structure form can be from the transmission medium automatic transmission to computer-readable storage medium (equipment) (or vice versa).For example, the computer executable instructions or the data structure that receive by network or data link (for example can be buffered in Network Interface Module, " NIC ") in RAM in, then finally be transferred to the computer-readable storage medium (equipment) of the more not volatibility of computer system RAM and/or computer systems division.Accordingly, it should be understood that computer-readable storage medium (equipment) can be included in also in the computer system component that utilizes (even main utilization) transmission medium.

Computer executable instructions for example comprises, makes multi-purpose computer, special purpose computer or dedicated treatment facility carry out the instruction and data of a certain function or certain group function when carrying out at the processor place.Computer executable instructions can be for example binary code, the intermediate format instructions such as assembly language or even source code.Although with the special-purpose language description of architectural feature and/or method action this theme, be appreciated that subject matter defined in the appended claims is not necessarily limited to above-mentioned feature or action.On the contrary, above-mentioned feature and action are as the exemplary forms that realizes claim and disclosed.

It should be appreciated by those skilled in the art that, the present invention can put into practice in having the network computing environment of being permitted eurypalynous computer system configurations, these computer system configurations comprise personal computer, desk-top computer, laptop computer, message handling device, portable equipment, multicomputer system, based on microprocessor or programmable consumer electronic device, network PC, small-size computer, mainframe computer, mobile phone, PDA, flat board, pager, router, switch etc.The present invention also can pass through to implement in the distributed system environment that the local and remote computer system of network linking (perhaps by hardwired data link, wireless data link, the perhaps combination by hardwired and wireless data link) both executes the task therein.In distributed system environment, program module can be arranged in local and remote memory storage device the two.

The present invention allows the user to find to be correlated with the data set of accessing in the contextual situation of the application that does not need to leave them/relevant data.Service is analyzed data set and subscriber profile information and environmental information (for example, the operating system in the use, the task dispatching that is performed) and is understood (classification).The service recommendation that the show needle such as (for example, in the electrical form, in the database, in the file system) is served relevant/relevant data and/or relevant/relevant data in using.In response to the user selection to recommending, relevant/relevant data (directly or from data, services) is sent in the application.Therefore, relevant/relevant data can be sent in the application, and does not need the user to leave should to be used for search data.

Fig. 1 illustrates the example computer architecture 100 of being convenient to find and consume related data.With reference to figure 1, Computer Architecture 100 comprises data storage 108, application 101, data directory 112 and data, services 113.In the assembly of describing each by such as for example LAN (Local Area Network) (" LAN "), wide area network (" WAN ") or even the Internet network (such as for example, network 131) (or part of network) is connected to each other.Therefore, in the computer system of describing each and the computer system of any other connection and assembly thereof can create message relevant data and (for example pass through the network exchange message relevant data, Internet protocol (" IP ") datagram and other upper-layer protocols more that utilize IP datagram, such as transmission control protocol (" TCP "), HTML (Hypertext Markup Language) (" HTTP "), Simple Mail Transfer protocol (" SMTP ") etc.).

Use 101 and comprise backstage analysis module 102 and user interface 119.Using 101 can be any data handling utility basically, such as such as spreadsheet application, database application, word processing program etc.User 107 can carry out alternately input submitted to application 101 and to be observed the output of self-application 101 with user interface 119.User 107 can carry out being loaded onto the data of using the data centralization in 101 data set is loaded into use in 101 and handle to be included in alternately with user interface 119.

Data directory 112 and data, services 113 can be inside or outside for user's 107 tissues associated therewith (for example, company).

Backstage analysis module 102 is configured to be connected to be loaded onto to be used the data in 101 and analyzes this data.Backstage analysis module 102 is used as background process, and therefore to having hardly performance impact in other processing of using 101 places.Backstage analysis module 102 can be analyzed the data of accessing and present recommendation for other related data at user interface 119 places.Recommendation can indicate they and the data set of accessing that heterogeneous pass is arranged.For example,

" [Data Provider Name] ([data set provider title]) is correlated with, and this is can help you to expand you to being included in the understanding of the address in this table because the data of accessing comprise postcode data and this data "

Or

" [Data Provider] [data set provider] " is recommended, and this is because have product information in your form, and these data help you to obtain details about these products "

Or

[User you collaborate with] ([user that you cooperate with it]) if having comprise based on we to the understanding of subject fields, with you the information height correlation information electrical form-you should consider to cooperate with their data set or can use you, check their data set

Fig. 2 illustrates for the process flow diagram of finding and consume an exemplary method 200 of related data.Method 200 is described with reference to assembly and the data of computer architecture 100.

Method 200 comprises that the detection user has accessed the action (action 201) of a data set as a part of carrying out appointed task in data handling utility.For example, application 101 can detect user 107 and use the 101 interior data sets 111 of having accessed as the part of task (for example, data being added to client or product electrical form).User 107 can send visit order 123 (may pass through user interface 119) and store 108 to use loading data 111 in 101 to data.

Detect data set accessed after, automatically and not need user intervention, backstage analysis module recommending data is expanded the action (action 202) of the value of the data set of accessing.For example, detect data set 111 accessed after, but analysis module 102 recommending datas in backstage come the value of growth data collection 111.Backstage analysis module 102 can be automatically and is analyzed data set 111 on the backstage, thereby restriction is to the mutual any performance impact of user 107 with data set 111.

Action 202 comprises to be analyzed with lower one or more semantic actions with location other data relevant with the data set of being accessed that identify: the data set of being accessed, user's profile information, appointed task and the historical data (moving 203) of being correlated with the data set of being accessed.For example, backstage analysis module 102 can be analyzed with lower one or more: data set 111, user's 107 profile information, the task that data set 111 is carried out and other history (for example, the similar) data relevant with data set 111.From this was analyzed, backstage analysis module 102 for example can identify semantic 132(, noun) to locate other data associated data set 111.

Action 202 comprises the action (action 204) of locating other related data based on the semanteme that identifies from one or more data directories and/or data, services.For example, but analysis module 102 semantic-baseds 132 in backstage come identification data catalogue 112A and 112B and data, services 113B.Action 202 comprises for the action that is presented on the display device place from each the recommendation of other related data in one or more data directories and/or the data, services, and each recommends other related data of indication how relevant with the semanteme that identifies (moving 205).For example, backstage analysis module 102 can present at the display device place recommendation 116.Recommend 116 be included in user interface 119 places respectively for recommendation 117A, 117B and the 118B of data directory 112A, 112B and data, services 113B.But each recommend designation data catalogue and/or data, services how 111 relevant with data set (for example, according to title for relevant, according to theming as the interested things of relevant, specified user, expanding the understanding of current data set etc.).Recommendation 116 also can be based on the correlativity of theme indication with the semanteme that identifies.

User 107 can be chosen in one or more recommendations that user interface 119 places present subsequently.For example, user 107 can submit to user interface 119 with selection 121 and select to recommend 117A.User interface 119 can receive selects 121.In response to the selection to recommendation 117A, backstage analysis module 102 can be sent to related data 122 data set 111 from data directory 112A.Therefore, related data 122 can be used in to be used in 101, does not use 101 and do not need user 107 to leave.

Fig. 3 A-3C illustrates for another example of finding and consuming related data.As in Fig. 3 A, describing, my data of MyData for PowerPivot(PowerPivot) data among the PowerPivot of 301 analytical electron forms 302.As describing among Fig. 3 B, MyData for PowerPivot 301 generative semanticses classification 303 also presents (for the data relevant with data analyzed in the PowerPivot of electrical form 302) recommendation 304.Recommend 304 to comprise recommendation 304A and 304B.

Describe such as Fig. 3 C, the user has selected recommendation 304A, thereby draws form import wizard 306.Form import wizard 306 can be guaranteed suitably to be imported (for example, formatted for using) in the PowerPivot of electrical form 302 from the data that the data source of recommending behind the 304A imports.

The present invention can be embodied as other concrete form and not deviate from its spirit or essential characteristic.It only is illustrative and nonrestrictive that described embodiment should be considered in all respects.Therefore, scope of the present invention is by appended claims but not aforementioned description indication.The implication and the interior change of scope that fall into the equivalents of claims are contained by the scope of claims.

Claims (15)

1. method of be used for recommending the data relevant with the data set that uses in data handling utility at computer systems division, described computer system comprises one or more processors, system storage and display device, described computer system also comprises described data handling utility and backstage analysis module, and described method comprises:
Detect the accessed action that is used as carrying out the part of appointed task in described data handling utility of data set; And
Detect described data set accessed after, automatically and not need user intervention, described backstage analysis module recommending data is expanded the action of the value of the data set of accessing, and comprising:
Analysis is with lower one or more semantic actions with location other data relevant with the data set of being accessed that identify: the data set of being accessed, user's profile information, appointed task and the historical data of being correlated with the data set of being accessed;
Come the action of other related data of location from one or more data directories based on the semanteme that identifies; And
Comprising will be for the action that is presented on the display device place from each the recommendation of other related data in described one or more data directories, and each recommends described other related data of indication how relevant with the semanteme that identifies.
2. the method for claim 1 is characterized in that, also comprises:
Reception is to the action of the user selection of the recommendation that is presented on described display device place; And
Described backstage analysis module will be corresponding with selected recommendation other related data be sent in the described data handling utility for the action of in described data handling utility, using.
3. the method for claim 1, it is characterized in that, present the action that presents for for described user tissue associated therewith being the recommendation of inner data directory for comprising from each the action of recommendation of other related data in described one or more data directories.
4. the method for claim 1, it is characterized in that, present the action that presents for for described user tissue associated therewith being the recommendation of outside data directory for comprising from each the action of recommendation of other related data in described one or more data directories.
5. the method for claim 1 is characterized in that, present action for the recommendation of other related data comprise present for other related data based on the action of theme indication with the recommendation of the correlativity of the semanteme that identifies.
6. the method for claim 1 is characterized in that, presents the action that action for the recommendation of other related data comprises the recommendation of the understanding that presents the semanteme that the expansion for other related data identifies.
7. the method for claim 1 is characterized in that, described application is selected from electrical form, database, file system and word processing program.
8. method of be used for recommending the data relevant with the data set that uses in data handling utility at computer systems division, described computer system comprises one or more processors, system storage and display device, described computer system also comprises described data handling utility and backstage analysis module, and described method comprises:
Detect that data set is accessed in described data handling utility to be used as carrying out one of appointed task
The action of part; And
Detect described data set accessed after, automatically and not need user intervention, the action of the value of the data set of accessing is expanded in the analysis module recommending data service of described backstage, comprising:
Analysis is with lower one or more semantic actions with the location data, services relevant with the data set of being accessed that identify: the data set of being accessed, user's profile information, appointed task and the historical data of being correlated with the data set of being accessed;
Locate one or more data, services so that the action of data relevant with the data set of being accessed to be provided based on the semanteme that identifies; And
Present the action for the recommendation of described one or more data, services at described display device place, each recommends designation data service how relevant with the semanteme that identifies.
9. method as claimed in claim 8 is characterized in that, also comprises:
Reception is to the action of the user selection of the recommendation that is presented on described display device place; And
Described backstage analysis module will be sent in the described data handling utility for the action of using in described data handling utility from the related data of the data, services corresponding with selected recommendation.
10. computer system, described computer system comprises:
One or more processors;
System storage;
Display device; And
One or more computer memory devices, described one or more computer memory devices have expression backstage analysis module stored thereon and the computer executable instructions of user interface, and wherein said backstage analysis module is configured to:
Detecting the user visits in described data handling utility as a part of carrying out appointed task
Asked data set; And
Detect described data set accessed after, automatically and not need user intervention, the action of the value of the data set of accessing is expanded in the analysis module recommending data service of described backstage, comprising:
Analysis with lower one or more identify semantic with the location data, services relevant with the data set of being accessed: the data set of being accessed, described user's profile information, appointed task and the historical data of being correlated with the data set of being accessed;
Come any related data in location from one or more data directories based on the semanteme that identifies;
Locate any data, services based on the semanteme that identifies and provide related data to the data set of accessing; And
Formulation in any other related datas of locating each and for each the recommendation in any data, services of locating, each recommends to indicate other related data or data, services how relevant with the semanteme that identifies; And wherein said subscriber interface module is configured to:
Reception in any other related data of locating each and for each the recommendation in any data, services of locating;
Present at described display device place in any other related data of locating each and for each the recommendation in any data, services of locating;
Reception is to the user selection of the recommendation that is presented on described display device place; And
Wherein said backstage analysis module is further configured into:
Other related data that will be corresponding with selected recommendation is sent in the described data handling utility for using in described data handling utility.
11. computer system as claimed in claim 10, it is characterized in that, described subscriber interface module be configured to present at described display device place in any other related data of locating each and comprise that for each the recommendation in any data, services of locating described subscriber interface module is configured to present for the recommendation that for described user tissue associated therewith is inner data, services.
12. computer system as claimed in claim 10, it is characterized in that, described subscriber interface module be configured to present at described display device place in any other related data of locating each and comprise that for each the recommendation in any data, services of locating described subscriber interface module is configured to present for the recommendation that for described user tissue associated therewith is outside data, services.
13. computer system as claimed in claim 10, it is characterized in that, described subscriber interface module be configured to present at described display device place in any other related data of locating each and comprise that for each the recommendation in any data, services of locating described subscriber interface module is configured to present for the recommendation that for described user tissue associated therewith is inner data directory.
14. computer system as claimed in claim 10, it is characterized in that, described subscriber interface module be configured to present at described display device place in any other related data of locating each and comprise that for each the recommendation in any data, services of locating described subscriber interface module is configured to present for the recommendation that for described user tissue associated therewith is outside data directory.
15. computer system as claimed in claim 10 is characterized in that, described application is selected from electrical form, database, file system and word processing program.
CN2012103829455A 2011-10-11 2012-10-10 Finding and consuming related data CN102937966A (en)

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US201161545882P true 2011-10-11 2011-10-11
US61/545,882 2011-10-11
US13/331,991 2011-12-20
US13/331,991 US20130091163A1 (en) 2011-10-11 2011-12-20 Discovering and consuming related data

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CN104123360A (en) * 2014-07-18 2014-10-29 腾讯科技(深圳)有限公司 Application recommendation data acquisition method, device and system and electronic device

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