CN102193997A - Information storage method - Google Patents
Information storage method Download PDFInfo
- Publication number
- CN102193997A CN102193997A CN2011101140621A CN201110114062A CN102193997A CN 102193997 A CN102193997 A CN 102193997A CN 2011101140621 A CN2011101140621 A CN 2011101140621A CN 201110114062 A CN201110114062 A CN 201110114062A CN 102193997 A CN102193997 A CN 102193997A
- Authority
- CN
- China
- Prior art keywords
- information
- attribute
- knowledge
- tree
- bunch
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to an information storage method which comprises the following steps: enabling various information with the same attribute to constitute information clusters, and establishing a relation among the information clusters according to the information attribute; and constricting an information attribute tree according to the information attribute and/or user requirements. When a certain piece of information is inquired, the information attribute tree of the information is called, and the information clusters related with the information attribute of the information are hung on the information attribute tree of the information. The background management and the foreground display of the information are realized respectively through the information clusters and the information attribute tree, thereby breaking a system adopting the traditional information management way, enabling a new system to be suitable for habits and the requirements of users for performing multi-dimensional display and enabling each user to conveniently manage the information according to respective preferences and the requirements.
Description
Technical field
The present invention relates to a kind of implementation method based on cancellated information management.
Background technology
Information management is the management of some knowledge informations of enterprises especially, is that following enterprise increases work efficiency and increases key of competitiveness.Traditional knowledge information management is to be based on the basic path of dimension mostly to retrieve step by step, and the structure that chdirs that this kind way to manage can not be random can not be showed according to different dimension views, so the dimension base path that everyone sees all is similar.Adopt this kind mode to carry out the management of knowledge, necessarily require each user that the knowledge bibliographic structure is had a cognition clearly.But the contribution of knowledge, retrieval are not 10 20 own business after all, and along with increasing of knowledge contributor, user, this kind way to manage has not satisfied existing use crowd's managerial demand.
Summary of the invention
Technical matters to be solved by this invention provides a kind of new information storage means, provides different dimension base paths thereby be embodied as different users, and can customize flexibly according to requirements of different users.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of information storage means may further comprise the steps:
Step 1: the various information that will have same alike result are formed informational clusters, and set up association between the informational cluster according to information attribute;
Step 2:, make up the information attribute tree according to information attribute and/or user's request.
Further, the attribute information of described informational cluster is stored in the file system, and the content stores of informational cluster is in database.
Further, when a certain information is inquired about, call the information attribute tree of this information, and will be mounted on the informational cluster that the information attribute of this information is associated on the information attribute tree of this information.
Further, the detailed process that will be mounted on the informational cluster that the information attribute of this information is associated on the information attribute tree of this information is: adopt search technique to search in file system to searching of described informational cluster, and the informational cluster node that finds out is articulated on the described information attribute tree.
The invention has the beneficial effects as follows: information has multiple attribute, and the attribute between the different information is not quite similar, and the information that will have same alike result is integrated the formation informational cluster, utilizes described informational cluster that information is classified.The existing multiple attribute of various information makes and exists mutual contact between the information, utilizes this contact, informational cluster is carried out association, thereby formed the reticulate texture of informational cluster.Utilize this reticulate texture, when wherein a certain information manages, just can utilize the attribute of this information to expand, inquire relative informational cluster, utilize the information attribute tree that makes up, this netted graph of a relation is presented with the tree-like form of being formulated, so that user's management.For representing of different information, because the difference of its attribute and user's request is different, its attribute tree also has nothing in common with each other, and has so just realized the displaying of the different dimensions of information.Than traditional information management, the information attribute tree that the present invention represented can change according to information attribute and user's demand, realized the flexibly customization of user to information management, information systems are according to the displaying that user's custom and demand realized multidimensional, have made things convenient for each user according to oneself hobby and demand information to be managed.
Among the present invention, utilize search technique, the attribute information of informational cluster is stored in the file system, content stores is to database, just can not will during the presenting information content all other information that are associated represent completely, only the related content in the file system is represented, treat to call again when the related information content that needs are checked checked the corresponding contents in the database, not only saved spacial flex but also saved system resource.
The present invention adopts informational cluster and information attribute tree to realize respectively the back-stage management and the foreground of information are showed, broken traditional information management mode system, make that new information systems are fit to carry out the displaying of multidimensional according to user's custom and demand, made things convenient for each user information to be managed according to oneself hobby and demand.
Description of drawings
Fig. 1 is the informational cluster cancellated synoptic diagram of the present invention in concrete an application;
Fig. 2 is the process flow diagram of a concrete real mode of the present invention.
Embodiment
Below in conjunction with accompanying drawing principle of the present invention and feature are described, institute gives an actual example and only is used to explain the present invention, is not to be used to limit scope of the present invention.
The present invention changes the restricted strong tree structure in traditional backstage into reticulate texture flexibly, the notion of catalogue is separated, the notion of informational cluster (aggregate with information of same alike result relation) and information attribute has been proposed, informational cluster is different from traditional catalogue, it has the attribute (multiple information attribute) of various dimensions, set up contact between informational cluster by these attributes, made up the reticulate texture of informational cluster, yet complicated reticulate texture is unfavorable for the foreground and shows, the present invention has proposed the notion of information attribute tree customization engine again on the basis of above-mentioned theory, by this engine information attribute and relation are carried out unified management, can the informational cluster node be articulated by (defining) information attribute tree of selecting to have defined like this according to the specifying information attribute of every kind of information and/or user's demand, final realization back-end data is a reticulate texture, the Foreground Data Dynamic Display becomes the effect (difference with the information attribute tree of selecting realizes the displaying of different dimensions) of tree structure.
Knowledge is as a kind of important information resources, and enterprise is increased work efficiency and increases competitive power has important effect.Corresponding with information, knowledge also has the knowledge attribute of himself, and knowledge attribute also is multiple.
Below be example with knowledge, method of the present invention is specifically addressed.
Utilize method of the present invention that knowledge is stored, its process is summarised as:
The various knowledge that will have an identical knowledge attribute are formed knowledge bunch, and set up association between the knowledge bunch according to described knowledge attribute;
According to knowledge attribute and/or user's request, make up the knowledge attribute tree;
When a certain knowledge is inquired about, call the knowledge attribute tree of this knowledge, and the knowledge that will be associated with the knowledge attribute of this knowledge bunch is mounted on the knowledge attribute tree of this knowledge.
Be example below with Fig. 1, knowledge bunch and the network formed thereof are introduced.Figure 1 shows that the reticulate texture of the knowledge bunch in a concrete application, each circle wherein, oval and square is all represented a knowledge bunch, each knowledge bunch the inside all comprises multiple knowledge, the knowledge of wherein circular expression project management class bunch, the knowledge of oval presentation technology administrative class bunch, the knowledge of square expression part branch bunch, interrelatedly between each knowledge among the figure bunch formed a reticulate texture because of the correlativity of knowledge attribute, such as: among the figure in " Sichuan is moved CIC and used Party building infosystem v1.0 " residing knowledge bunch, its primary attribute is " project ", therefore be placed in the knowledge bunch of project management, its industry attribute is mobile industry, therefore this knowledge bunch and " mobile industry " residing knowledge bunch have produced related, its branch of department attribute is a Sichuan branch, therefore this knowledge bunch and " Sichuan branch " residing knowledge bunch have produced related, its product attribute is management of product V3.4.1, so this knowledge bunch again bunch has produced related with the knowledge of " management of product V3.4.1 " residing technical management.
As shown in Figure 2, in concrete enforcement, introduce knowledge attribute customization engine and knowledge bunch logic engine, raw data (the comprising knowledge content) utilization that each system is provided by knowledge attribute customization engine, knowledge bunch logic engine is created is packaged into knowledge attribute tree and knowledge bunch, at last by the relation on attributes of knowledge bunch and the knowledge attribute tree rule that defines, knowledge bunch is articulated on the knowledge attribute tree, realizes that the knowledge tree structure of the page is showed.
Wherein
1. knowledge attribute customization engine: webservice engineering independently, major function: 1) managerial knowledge relation on attributes model (as mentioned above, with reference to Fig. 1, knowledge attribute exists primary attribute and other adeditive attribute, located the knowledge bunch at knowledge place by primary attribute, make this knowledge bunch related with bunch generation of other knowledge by other attributes, thereby formed the reticulate texture that is associated between some knowledge bunch, this structural model is described knowledge attribute relational model); 2) managerial knowledge attribute tree.Its coupling is low, makes things convenient for each system call.
2. knowledge bunch logic engine: webservice engineering independently, effect are that the knowledge attribute relational model after handling through knowledge attribute customization engine is created concrete knowledge bunch.The process of storage is used search technique, and in file system, essential information stores database into the knowledge attribute information stores.
3. use the application of knowledge bunch, after entering certain concrete view, at first call the knowledge attribute tree displaying rule that knowledge attribute customization engine takes out this view correspondence, search in file system by search technique then, the knowledge cluster knot point that finds out is articulated on the knowledge attribute tree.
Below be the bright another embodiment process of this law:
1. build knowledge attribute customization engine, set up knowledge attribute classification, knowledge attribute and knowledge attribute tree;
2. build knowledge bunch logic engine, the data model that dependency customization engine imports into is created, this engine has also comprised bunch to be searched knowledge, revises functions such as deletion;
3. the service of knowledge attribute customization engine is called then according to unified interface extracted data by each system, and data are sent to the customization engine, in engine internal data is carried out attributes encapsulation;
4. attribute customization engine can continue to call knowledge bunch logic engine, and the information after the attributes encapsulation of will carrying out is created as concrete knowledge bunch;
5. in the application system of each knowledge base, by the memory location binding of Network storage technology and concrete knowledge bunch, realize knowledge cluster data between each system synchronously in real time, then according to knowledge attribute tree and knowledge bunch set generation knowledge bibliographic structure.
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 (4)
1. information storage means is characterized in that, said method comprising the steps of:
Step 1: the various information that will have same alike result are formed informational clusters, and set up association between the informational cluster according to information attribute;
Step 2:, make up the information attribute tree according to information attribute and/or user's request.
2. information storage means according to claim 1 is characterized in that the attribute information of described informational cluster is stored in the file system, and the content stores of informational cluster is in database.
3. information storage means according to claim 1 and 2 is characterized in that, when a certain information is inquired about, call the information attribute tree of this information, and will be mounted on the informational cluster that the information attribute of this information is associated on the information attribute tree of this information.
4. information query method according to claim 3, it is characterized in that, the detailed process that will be mounted on the informational cluster that the information attribute of this information is associated on the information attribute tree of this information is: adopt search technique to search in file system to searching of described informational cluster, and the informational cluster node that finds out is articulated on the described information attribute tree.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101140621A CN102193997A (en) | 2011-05-04 | 2011-05-04 | Information storage method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101140621A CN102193997A (en) | 2011-05-04 | 2011-05-04 | Information storage method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102193997A true CN102193997A (en) | 2011-09-21 |
Family
ID=44602066
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011101140621A Pending CN102193997A (en) | 2011-05-04 | 2011-05-04 | Information storage method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102193997A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105653691A (en) * | 2015-12-29 | 2016-06-08 | 珠海城建节能科技有限公司 | Information resource management method and management apparatus |
| CN106649833A (en) * | 2016-12-29 | 2017-05-10 | 山东科技大学 | Knowledge database construction method based on knowledge module and query method and system |
| CN106951427A (en) * | 2016-01-07 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of data pick-up method and device of business object |
| CN108614859A (en) * | 2018-03-26 | 2018-10-02 | 平安科技（深圳）有限公司 | Intelligent search method, server and storage medium |
| WO2019184281A1 (en) * | 2018-03-26 | 2019-10-03 | 平安科技（深圳）有限公司 | Method and server for dynamically managing product services, and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1845093A (en) * | 2006-04-30 | 2006-10-11 | 华中科技大学 | Attribute extensible object file system |
| CN101630314A (en) * | 2008-07-16 | 2010-01-20 | 中国科学院自动化研究所 | Semantic query expansion method based on domain knowledge |
| CN101655862A (en) * | 2009-08-11 | 2010-02-24 | 华天清 | Method and device for searching information object |
-
2011
- 2011-05-04 CN CN2011101140621A patent/CN102193997A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1845093A (en) * | 2006-04-30 | 2006-10-11 | 华中科技大学 | Attribute extensible object file system |
| CN101630314A (en) * | 2008-07-16 | 2010-01-20 | 中国科学院自动化研究所 | Semantic query expansion method based on domain knowledge |
| CN101655862A (en) * | 2009-08-11 | 2010-02-24 | 华天清 | Method and device for searching information object |
Non-Patent Citations (1)
| Title |
|---|
| 萨师煊 等: "《数据库系统概论》", 31 March 2000, 高等教育出版社, article "数据库系统概论", pages: 27-35 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105653691A (en) * | 2015-12-29 | 2016-06-08 | 珠海城建节能科技有限公司 | Information resource management method and management apparatus |
| CN105653691B (en) * | 2015-12-29 | 2019-05-10 | 广东城智科技有限公司 | Management of information resources method and managing device |
| CN106951427A (en) * | 2016-01-07 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of data pick-up method and device of business object |
| CN106951427B (en) * | 2016-01-07 | 2020-08-18 | 阿里巴巴集团控股有限公司 | Data extraction method and device for business object |
| CN106649833A (en) * | 2016-12-29 | 2017-05-10 | 山东科技大学 | Knowledge database construction method based on knowledge module and query method and system |
| CN108614859A (en) * | 2018-03-26 | 2018-10-02 | 平安科技（深圳）有限公司 | Intelligent search method, server and storage medium |
| WO2019184281A1 (en) * | 2018-03-26 | 2019-10-03 | 平安科技（深圳）有限公司 | Method and server for dynamically managing product services, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105138592B (en) | A kind of daily record data storage and search method based on distributed structure/architecture | |
| CN106528773B (en) | Map computing system and method based on Spark platform supporting spatial data management | |
| CN111523003A (en) | Data application method and platform with time sequence dynamic map as core | |
| CN102567932A (en) | Method, device and system for managing comprehensive resources | |
| CN102193997A (en) | Information storage method | |
| US9201700B2 (en) | Provisioning computer resources on a network | |
| CN104169914A (en) | Data storage method, data processing method, device and mobile terminal | |
| CN108255915B (en) | File management method and device and machine-readable storage medium | |
| CN103310025A (en) | Unstructured-data description method and device | |
| CN103856462B (en) | Method and system for managing sessions | |
| CN104484472A (en) | Database cluster for mixing various heterogeneous data sources and implementation method | |
| CN109241159A (en) | A kind of subregion querying method, system and the terminal device of data cube | |
| CN101178733A (en) | Index, search, storage and display control information systems for associated data | |
| US20170154080A1 (en) | Phasing of multi-output query operators | |
| CN105631019A (en) | Metadata extension method and device | |
| CN103139324B (en) | There is the address book system of contact feature description and contacts information | |
| CN110147376A (en) | A kind of inquiry of oil gas big data and storage method based on domain body | |
| CN110287508A (en) | A kind of visualization emerging system of multi-source D Urban model | |
| CN104537091A (en) | Networked relational data query method based on hierarchical identification routing | |
| CN110119396B (en) | Data management method and related product | |
| US20180205790A1 (en) | Distributed data structure in a software defined networking environment | |
| CN105138674A (en) | Database access method | |
| CN113407810B (en) | City information and service integration system and method based on big data | |
| WO2024002292A1 (en) | Model construction and model data subscription method and apparatus, electronic device and medium | |
| CN102214214B (en) | Method and device for processing data relationship and mobile communication terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 100085 Haidian District, Zhongguancun, South Street, No. 6,, building information, floor, No. 16 Applicant after: SI-TECH Information Technology Ltd. Address before: 100085, Beijing, Haidian District on the nine Street 9 digital science and Technology Plaza, two floor Applicant before: Beijing Digital China SI-TECH Information Technology Co., Ltd. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: BEIJING DIGITAL CHINA SI-TECH INFORMATION TECHNOLOGY LTD. TO: BEIJING SI-TECH INFORMATION TECHNOLOGY LTD. |
|
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110921 |