CN102402522A - Data query system and method - Google Patents
Data query system and method Download PDFInfo
- Publication number
- CN102402522A CN102402522A CN2010102799114A CN201010279911A CN102402522A CN 102402522 A CN102402522 A CN 102402522A CN 2010102799114 A CN2010102799114 A CN 2010102799114A CN 201010279911 A CN201010279911 A CN 201010279911A CN 102402522 A CN102402522 A CN 102402522A
- Authority
- CN
- China
- Prior art keywords
- data
- information
- query
- physical
- message
- 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
Abstract
The invention discloses a data query system and method. The data query system comprises an operation analysis system, a data query device, a metadata system and a data warehouse, wherein the data query device comprises a logic information acquiring unit, a syntactic analysis unit, a model translation unit and a data acquiring unit; the logic information acquiring unit obtains logic information from the operation analysis system; the syntactic analysis unit analyzes out each logic query information specific to the logic information; the model translation unit analyzes out at least one logic model metadatum specific to each logic query information, respectively searches corresponding physical model metadata in the metadata system, generates each physical query information according to the searched physical model metadata and generates physical information according to each generated physical query information; and the data query unit searches data in the data warehouse according to the generated physical information. By adopting the technical scheme disclosed by the invention, the problem of lower flexibility when the data are queried in the prior art is solved.
Description
Technical field
The present invention relates to the data query technique field, particularly a kind of data query system and method.
Background technology
Operation analysis system is with business operation support system (BOSS; Business & Operation Support System) data in are the basis, make up unified performance analysis database, help the present situation of the business decision layer understanding enterprise operation of enterprise; Find the Pros and Cons of enterprise operation; Prediction future development trend is segmented the client, instructs marketing department and customer service department to market targetedly and customer relation management efficiently.Each enterprise possibly comprise a plurality of operation analysis systems; Each operation analysis system is responsible for the processing such as inquiry that performance analysis user in the corresponding geographic area provides the performance analysis data, all stores the performance analysis data in the corresponding geographic area in each operation analysis system.
Can each performance analysis data be described with logical message or physical message; The logical message of each performance analysis data is combined into logical model according to logical organization; Logical message is mainly described the performance analysis data from logic and operational angle; Main description " what is done "; The physical message of each performance analysis data is called physical model according to physical arrangement combination, and physical message is mainly described the performance analysis data from the angle of the storage mode of performance analysis data, mainly describes " how doing ".When the performance analysis user inquires about the performance analysis data in operation analysis system; General direct physical message with these performance analysis data is notified to operation analysis system; Because the storage mode of physical message reflection performance analysis data, so operation analysis system can find out the performance analysis data according to physical message and offers the performance analysis user from database server.
In the prior art; Each operation analysis system uses independently, and process software provides processing such as data query as the performance analysis user; Usually the physical message with the performance analysis data is encoded in the process software; Therefore need to each operation analysis system, the physical message with the performance analysis data in this operation analysis system is encoded in the corresponding process software respectively, if the physical message of some performance analysis data changes; Then need revise the physical message that has been encoded in the process software, this just makes that the dirigibility of data query is lower.
Summary of the invention
The embodiment of the invention provides a kind of data query system and method, the lower problem of dirigibility when solving the data query that exists in the prior art.
Embodiment of the invention technical scheme is following:
A kind of data query system; Comprise operation analysis system, data query device, metadata system and data warehouse; Said data query device comprises logical message acquiring unit, parsing unit, model translation unit and data query unit; Wherein: the logical message acquiring unit is used for obtaining from operation analysis system the logical message of the data that need inquiry; Parsing unit is used for the logical message that the logical message acquiring unit obtains is resolved, and parses each Boolean query information; The model translation unit; Be used for respectively each Boolean query information being resolved; Parse at least one logical model metadata, in the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data; According to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information, according to each the physics Query Information that generates, the physical message that the said data of generated query are required; The data query unit is used in data warehouse, searching said data according to the physical message that generates.
A kind of data enquire method, the method comprising the steps of: the logical message of obtaining the data that need inquiry from operation analysis system; Logical message to obtaining is resolved, and parses each Boolean query information; Respectively each Boolean query information is resolved; Parse at least one logical model metadata, in the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data; According to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information, according to each the physics Query Information that generates, the physical message that the said data of generated query are required; According to the physical message that generates, in data warehouse, search said data.
In the embodiment of the invention technical scheme, the logical message acquiring unit in the data query device at first obtains the logical message of the data that the user need inquire about from operation analysis system, because logical message can not directly be used for data query; Therefore need parsing unit that the logical message of obtaining is resolved, parse each Boolean query information, the model translation unit is resolved each Boolean query information respectively then; Parse at least one logical model metadata; In the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data, according to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information; According to each the physics Query Information that generates, the physical message that the said data of generated query are required, the data query unit is according to the physical message that generates; In data warehouse, search said data; Therefore the metadata system in the data query system of embodiment of the invention technical scheme has been stored the corresponding relation of logical model metadata and physical model metadata, when data query, can confirm the physical message that data query is required according to this corresponding relation; This is encoded to the physical message of data in the process software with regard to having been avoided prior art; When the physical message of some data changes, need to revise the problem that has been encoded to the physical message in the process software, this has just improved the dirigibility of data query effectively.
Description of drawings
Fig. 1 is in the embodiment of the invention, the data query system structural representation;
Fig. 2 is in the embodiment of the invention, the data enquire method schematic flow sheet;
Fig. 3 is in the embodiment of the invention, the concrete realization flow synoptic diagram of data enquire method data query system structural representation.
Embodiment
At length set forth to the main realization principle of embodiment of the invention technical scheme, embodiment and to the beneficial effect that should be able to reach below in conjunction with each accompanying drawing.
As shown in Figure 1; Be the data query system structural representation in the embodiment of the invention; Data query system comprises operation analysis system 11, data query device 12, metadata system 13 and data warehouse 14; Operation analysis system 11 is responsible for the logical message that acquisition needs the data of inquiry, and data query device 12 obtains the logical message of the data that need inquiry from operation analysis system 11, can initiatively obtain; Also can send by operation analysis system 11; Data query device 12 is according to the logic basis data of storage in logical message of obtaining and the metadata system 13 and the corresponding relation of physical metadata, and the physical message that the generated query data are required is searched said data then in data warehouse 14; Wherein the data query device comprises logical message acquiring unit 121, parsing unit 122, model translation unit 123 and data query unit 124, wherein:
Logical message acquiring unit 121 is used for obtaining from operation analysis system 11 logical message of the data that need inquiry;
Preferably; In order to improve data query speed and search efficiency; The embodiment of the invention proposes data query device 12 and can further include the metadata cache processing unit; Be used for the corresponding relation of physical model metadata that finds and logical model metadata is carried out buffer memory; When model translation unit 123 is searched identical logical model metadata once more, can directly from the corresponding relation of metadata cache processing unit buffer memory, search corresponding physical model element data, thereby can improve inquiry velocity and search efficiency effectively.
Preferably; The embodiment of the invention proposes data query device 12 and can further include the information cache processing unit; Be used for the corresponding relation of the physical message of logical message of obtaining and generation is carried out buffer memory; When logical message acquiring unit 121 got access to identical logical message once more, model translation unit 123 was directly searched corresponding physical information from the corresponding relation of information cache processing unit buffer memory, thereby has improved inquiry velocity and search efficiency effectively.
Preferably, wherein above-mentioned Boolean query information comprises Boolean query object information, Boolean query source-information and Boolean query conditional information; The physics Query Information comprises physics Query Result information, physics inquiry source-information and physics querying condition information.
Preferably; Data query unit 124 is according to the inquiry of the physics in the physical message that generates source-information; The data source of the said data of storage in the specified data warehouse 14; And, in each data that the data source of determining is stored, search said data according to physics Query Result information and physics querying condition information in the physical message that generates.
Preferably, before 123 pairs of Boolean query information of model translation unit were resolved, parsing unit 122 can also carry out the grammaticality verification to the logical message of obtaining, if the failure information is then returned in the verification failure further according to preset verification rule.
Accordingly, the embodiment of the invention also provides a kind of data enquire method, and its method flow diagram is as shown in Figure 2, and its concrete processing procedure is following:
In the embodiment of the invention, the user can send the query requests of the logical message that carries these data to operation analysis system when the needs data query; Wherein can also further carry this user's identity information in this query requests, after operation analysis system receives query requests, this query requests sent to the data query device; The data query device is at first according to the identity information that carries in the query requests; This user is carried out authentication,, then carry out query manipulation for this user if checking is passed through; If checking is not passed through, then can send the authentication failed prompting message to this user.
In the embodiment of the invention; The logical message of data also can be called the logical model query statement; The employed language of logical model query statement can similar structures query language (SQL; Structured Query Language); The logical message that the data query device obtains can obtain after encapsulating according to preset packaged type for operation analysis system, preset packaged type can but be not limited to extend markup language (XML, Extensible Markup Language) packaged type.
The data query device can carry out the grammaticality verification to the logical message that gets access to further according to preset verification rule after receiving query requests; If verification succeeds; Then for this user carries out query manipulation, if the verification failure is then returned grammer verification failure information to this user; Wherein can but be not limited to carry out the grammaticality verification through methods such as regular expressions, the syntax check process of its process and SQL is similar.
The logical message of data is mainly described " what is done "; Physical message is mainly described " how doing "; And want data query must know following three kinds of information: inquire about any data, in which data, inquire about, inquire about this data constraint conditions; Above-mentioned three kinds of information are called Boolean query information in logical model; Be respectively Boolean query object information, Boolean query source-information, Boolean query conditional information, above-mentioned three kinds of information are called the physics Query Information in physical model, are respectively physics Query Result information, physics inquiry source-information, physics querying condition information.
All corresponding at least one the logical model metadata of each Boolean query information; All corresponding at least one the physical model metadata of each physics Query Information; For example, the performance analysis data that inquire about are: in personal user's data of regional a, and the phone number of user A and customer number; The Boolean query object information is phone number and customer number; Its two corresponding logical model metadata are respectively " phone number " and " customer number ", two physical model metadata that the logical model metadata is corresponding different respectively, and two physical model metadata can the product Richard be ask object information.That is to say that logical message comes down to the combination of a plurality of logical model metadata, physical message comes down to the combination of a plurality of physical model metadata.
In order to improve data query speed and search efficiency; The embodiment of the invention proposes the corresponding relation of physical model metadata that finds and logical model metadata is carried out buffer memory; Follow-up when searching identical logical model metadata once more; Directly from the corresponding relation of buffer memory, search corresponding physical model element data; After that is to say that the data query device parses each logical model metadata from each Boolean query information, each logical model metadata corresponding physical model element data of can be earlier in the corresponding relation of the physical model metadata of buffer memory and logical model metadata, searching and parsing are not if find; Then in the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search, thereby can improve inquiry velocity and search efficiency effectively.
Wherein the physics Query Information can but be not limited to comprise physics Query Result information, physics inquiry source-information, physics querying condition information.
Wherein the physical message of data also can be called the physical model query statement, the physical model query statement can but be not limited to use SQL.
The embodiment of the invention proposes, and the corresponding relation of the physical message of logical message that gets access to and generation is carried out buffer memory, and is follow-up when getting access to this logical message once more; Directly from the corresponding relation of the logical message of buffer memory and physical message, search corresponding physical information, that is to say that the data query device gets access to logical message after, at first in the corresponding relation of the logical message of buffer memory and physical message, search corresponding physical information; If do not find; Then this logical message is resolved, parse each Boolean query information, and then each Boolean query information is resolved; Parse each logical model metadata; In the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data, then according to each each physics Query Information of physical model metadata generation; Again according to the required physical message of each said data of physics Query Information generated query, thereby can improve inquiry velocity and search efficiency effectively.
Because the physical message that generates is made up of physics Query Result information, physics inquiry source-information, physics querying condition information; And physics inquiry source-information has been represented these data of inquiry in which data; Therefore the data query device can be at first according to the inquiry of the physics in physical message source-information; Storage needs the data source of the data of inquiry in the specified data warehouse, promptly determines database, text or the tables of data etc. of these data of storage, then according to physics Query Result information and physics querying condition information in the physical message that generates; In each data that the data source of determining is stored, search said data.
If the corresponding a plurality of data sources of physics inquiry source-information; For example corresponding a plurality of databases; It is a plurality of to that is to say that the database of determining that stores the data that need inquiry has, and then can in a plurality of databases of determining, inquire about said data successively according to preset search order.
After finding said data; The data query device can be encoded to the data that find according to the preset coding rule, forms data stream or data file; Data stream or data file after will encoding send to operation analysis system again, offer the user by operation analysis system.
Can know that by above-mentioned processing procedure in the embodiment of the invention technical scheme, the logical message acquiring unit in the data query device at first obtains the logical message of the data that the user need inquire about from operation analysis system; Because logical message can not directly be used for data query; Therefore need parsing unit that the logical message of obtaining is resolved, parse each Boolean query information, the model translation unit is resolved each Boolean query information respectively then; Parse at least one logical model metadata; In the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data, according to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information; According to each the physics Query Information that generates, the physical message that the said data of generated query are required, the data query unit is according to the physical message that generates; In data warehouse, search said data; Therefore the metadata system in the data query system of embodiment of the invention technical scheme has been stored the corresponding relation of logical model metadata and physical model metadata, when data query, can confirm the physical message that data query is required according to this corresponding relation; This is encoded to the physical message of data in the process software with regard to having been avoided prior art; When the physical message of some data changes, need to revise the problem that has been encoded to the physical message in the process software, this has just improved the dirigibility of data query effectively.
Provide more concrete embodiment below.
As shown in Figure 3, be the concrete realization flow figure of data enquire method in the embodiment of the invention, its concrete processing procedure is following:
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.
Claims (12)
1. data query system; It is characterized in that; Comprise operation analysis system, data query device, metadata system and data warehouse, said data query device comprises logical message acquiring unit, parsing unit, model translation unit and data query unit, wherein:
The logical message acquiring unit is used for obtaining from operation analysis system the logical message of the data that need inquiry;
Parsing unit is used for the logical message that the logical message acquiring unit obtains is resolved, and parses each Boolean query information;
The model translation unit; Be used for respectively each Boolean query information being resolved; Parse at least one logical model metadata, in the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data; According to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information, according to each the physics Query Information that generates, the physical message that the said data of generated query are required;
The data query unit is used in data warehouse, searching said data according to the physical message that generates.
2. data query system as claimed in claim 1 is characterized in that, said data query device also comprises the metadata cache processing unit, is used for the corresponding relation of physical model metadata that finds and logical model metadata is carried out buffer memory;
When the model translation unit is searched identical logical model metadata once more, directly from the corresponding relation of metadata cache processing unit buffer memory, search corresponding physical model element data.
3. data query system as claimed in claim 1 is characterized in that, said data query device also comprises the information cache processing unit, is used for the corresponding relation of said logical message and said physical message is carried out buffer memory;
When the logical message acquiring unit got access to said logical message once more, the model translation unit was directly searched corresponding physical information from the corresponding relation of information cache processing unit buffer memory.
4. data query system as claimed in claim 1 is characterized in that, Boolean query information comprises Boolean query object information, Boolean query source-information and Boolean query conditional information;
The physics Query Information comprises physics Query Result information, physics inquiry source-information and physics querying condition information.
5. data query system as claimed in claim 4; It is characterized in that; The data source of said data is stored according to the inquiry of the physics in the physical message that generates source-information in the data query unit in the specified data warehouse, and according to physics Query Result information and physics querying condition information in the physical message that generates; In each data that the data source of determining is stored, search said data.
6. data query system as claimed in claim 1; It is characterized in that; Before said model translation unit was resolved Boolean query information, said parsing unit carried out the grammaticality verification according to preset verification rule to the logical message of obtaining; If the failure information is then returned in the verification failure.
7. a data enquire method is characterized in that, comprising:
Obtain the logical message of the data that need inquiry from operation analysis system;
Logical message to obtaining is resolved, and parses each Boolean query information;
Respectively each Boolean query information is resolved; Parse at least one logical model metadata, in the corresponding relation of the logical model metadata of metadata system storage and physical model metadata, search each logical model metadata corresponding physical model element data; According to each the physical model metadata that finds; Generate and this Boolean query information corresponding physical Query Information, according to each the physics Query Information that generates, the physical message that the said data of generated query are required;
According to the physical message that generates, in data warehouse, search said data.
8. data enquire method as claimed in claim 7 is characterized in that, also comprises:
The corresponding relation of physical model metadata that finds and logical model metadata is carried out buffer memory;
Follow-up when searching identical logical model metadata once more, directly from the corresponding relation of buffer memory, search corresponding physical model element data.
9. data enquire method as claimed in claim 7 is characterized in that, also comprises:
The corresponding relation of said logical message and said physical message is carried out buffer memory;
Follow-up when getting access to said logical message once more, directly from the corresponding relation of buffer memory, search corresponding physical information.
10. data enquire method as claimed in claim 7 is characterized in that, Boolean query information comprises Boolean query object information, Boolean query source-information and Boolean query conditional information;
The physics Query Information comprises physics Query Result information, physics inquiry source-information and physics querying condition information.
11. data enquire method as claimed in claim 7 is characterized in that, according to the physical message that generates, in data warehouse, searches said data, specifically comprises:
According to the inquiry of the physics in the physical message that generates source-information, the data source of the said data of storage in the specified data warehouse;
According to physics Query Result information and the physics querying condition information in the physical message that generates, in each data that the data source of determining is stored, search said data.
12. data enquire method as claimed in claim 7 is characterized in that, before Boolean query information is resolved, also comprises:
According to preset verification rule, the logical message of obtaining is carried out the grammaticality verification, if the failure information is then returned in the verification failure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102799114A CN102402522A (en) | 2010-09-09 | 2010-09-09 | Data query system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102799114A CN102402522A (en) | 2010-09-09 | 2010-09-09 | Data query system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102402522A true CN102402522A (en) | 2012-04-04 |
Family
ID=45884738
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102799114A Pending CN102402522A (en) | 2010-09-09 | 2010-09-09 | Data query system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102402522A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102982495A (en) * | 2012-12-04 | 2013-03-20 | 深圳中兴网信科技有限公司 | Self-adaption data processing device and method |
| CN103020115A (en) * | 2012-11-13 | 2013-04-03 | 深圳市同洲电子股份有限公司 | Data caching method, cache server and system |
| CN103685207A (en) * | 2012-09-21 | 2014-03-26 | 百度在线网络技术（北京）有限公司 | System, apparatus, and method for integrating data spanning data sources |
| CN103685421A (en) * | 2012-09-21 | 2014-03-26 | 百度在线网络技术（北京）有限公司 | Cross-data-source data submission system, device and method |
| CN105956163A (en) * | 2016-05-19 | 2016-09-21 | 乐视控股（北京）有限公司 | Method and device for managing graph database |
| CN106204057A (en) * | 2016-06-27 | 2016-12-07 | 惠众商务顾问（北京）有限公司 | Physical message accidental validation block chain method for anti-counterfeit, system and device |
| CN107180159A (en) * | 2017-06-19 | 2017-09-19 | 上海德启信息科技有限公司 | A kind of target data acquisition methods and device |
| CN107203640A (en) * | 2017-06-14 | 2017-09-26 | 成都四方伟业软件股份有限公司 | The method and system of physical model are set up by database log |
| CN107346329A (en) * | 2017-06-19 | 2017-11-14 | 上海德启信息科技有限公司 | A kind of data processing method and device |
| CN112612778A (en) * | 2020-12-25 | 2021-04-06 | 上海航空工业(集团) 有限公司 | Enterprise data architecture method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0507744A2 (en) * | 1991-03-06 | 1992-10-07 | Ezio Lefons | Data query system for databases |
| CN101046811A (en) * | 2006-06-07 | 2007-10-03 | 华为技术有限公司 | Data integral service system and method |
| CN101141525A (en) * | 2007-10-10 | 2008-03-12 | 中兴通讯股份有限公司 | Information management system and information management method |
-
2010
- 2010-09-09 CN CN2010102799114A patent/CN102402522A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0507744A2 (en) * | 1991-03-06 | 1992-10-07 | Ezio Lefons | Data query system for databases |
| CN101046811A (en) * | 2006-06-07 | 2007-10-03 | 华为技术有限公司 | Data integral service system and method |
| CN101141525A (en) * | 2007-10-10 | 2008-03-12 | 中兴通讯股份有限公司 | Information management system and information management method |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103685207B (en) * | 2012-09-21 | 2018-01-19 | 百度在线网络技术（北京）有限公司 | Data integrated system, device and method across data source |
| CN103685207A (en) * | 2012-09-21 | 2014-03-26 | 百度在线网络技术（北京）有限公司 | System, apparatus, and method for integrating data spanning data sources |
| CN103685421A (en) * | 2012-09-21 | 2014-03-26 | 百度在线网络技术（北京）有限公司 | Cross-data-source data submission system, device and method |
| CN103020115A (en) * | 2012-11-13 | 2013-04-03 | 深圳市同洲电子股份有限公司 | Data caching method, cache server and system |
| CN102982495B (en) * | 2012-12-04 | 2015-09-23 | 深圳中兴网信科技有限公司 | Adaptive data processing equipment and data processing method |
| CN102982495A (en) * | 2012-12-04 | 2013-03-20 | 深圳中兴网信科技有限公司 | Self-adaption data processing device and method |
| CN105956163A (en) * | 2016-05-19 | 2016-09-21 | 乐视控股（北京）有限公司 | Method and device for managing graph database |
| CN106204057A (en) * | 2016-06-27 | 2016-12-07 | 惠众商务顾问（北京）有限公司 | Physical message accidental validation block chain method for anti-counterfeit, system and device |
| CN107203640A (en) * | 2017-06-14 | 2017-09-26 | 成都四方伟业软件股份有限公司 | The method and system of physical model are set up by database log |
| CN107346329A (en) * | 2017-06-19 | 2017-11-14 | 上海德启信息科技有限公司 | A kind of data processing method and device |
| CN107180159A (en) * | 2017-06-19 | 2017-09-19 | 上海德启信息科技有限公司 | A kind of target data acquisition methods and device |
| CN107346329B (en) * | 2017-06-19 | 2021-01-29 | 上海德启信息科技有限公司 | Data processing method and device |
| CN112612778A (en) * | 2020-12-25 | 2021-04-06 | 上海航空工业(集团) 有限公司 | Enterprise data architecture method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102402522A (en) | Data query system and method | |
| CN109716320B (en) | Method, system, medium and application processing engine for graph generation for event processing | |
| US11238069B2 (en) | Transforming a data stream into structured data | |
| Rudolf et al. | The graph story of the SAP HANA database | |
| US20180276304A1 (en) | Advanced computer implementation for crawling and/or detecting related electronically catalogued data using improved metadata processing | |
| CN102236701A (en) | Dependency graphs for multiple domains | |
| US9679025B2 (en) | Providing search query results based on entity variant generation and normalization | |
| JP5527027B2 (en) | Schema definition generation device, schema definition generation method, and schema definition generation program | |
| US9305032B2 (en) | Framework for generating programs to process beacons | |
| US20230120592A1 (en) | Query Generation and Processing System | |
| US9081873B1 (en) | Method and system for information retrieval in response to a query | |
| KR102253841B1 (en) | Apparatus for Processing Transaction with Modification of Data in Large-Scale Distributed File System and Computer-Readable Recording Medium with Program | |
| Bellini et al. | Managing Complexity of Data Models and Performance in Broker-Based Internet/Web of Things Architectures | |
| US8200673B2 (en) | System and method for on-demand indexing | |
| US20200293536A1 (en) | Stream processing in search data pipelines | |
| CN105760532B (en) | Resource sharing system and method based on Web Service | |
| KR102169930B1 (en) | Semantic Information Management Method for a M2M/IoT platform | |
| KR20190129474A (en) | Apparatus and method for retrieving data | |
| KR100789771B1 (en) | System and method for processing queries of data stream and data in databases using trigger | |
| Bellini et al. | Internet 4 Things | |
| Chatziantoniou et al. | Introducing data connectivity in a big data web | |
| KR100931310B1 (en) | Integrated continuous query processing device and user method using user-defined shared extended trigger | |
| WO2023164294A1 (en) | Query splitter for an inverted index datastore | |
| Lorey | Discovering SPARQL Query Templates for Dynamic RDF Triple Prefetching |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120404 |