WO2014166245A1 - Procédé et système de recherche de données associés à une plate-forme d'éducation en nuage - Google Patents

Procédé et système de recherche de données associés à une plate-forme d'éducation en nuage Download PDF

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Publication number
WO2014166245A1
WO2014166245A1 PCT/CN2013/086778 CN2013086778W WO2014166245A1 WO 2014166245 A1 WO2014166245 A1 WO 2014166245A1 CN 2013086778 W CN2013086778 W CN 2013086778W WO 2014166245 A1 WO2014166245 A1 WO 2014166245A1
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data
thematic
index
index table
query
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PCT/CN2013/086778
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English (en)
Chinese (zh)
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胡加明
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苏州阔地网络科技有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing

Definitions

  • the invention belongs to a data processing technology, and in particular relates to a data search method and system of a cloud education platform. Background technique
  • the invention provides a data search method and system for a cloud education platform to solve the above problems.
  • the invention provides a data search method of a cloud education platform.
  • the above method comprises the following steps:
  • the thematic data extraction server traverses the data in the teaching data storage in an infinite loop, obtains the thematic data according to the first rule according to the GUID list maintained by the thematic data extraction, and stores the thematic data in the thematic data storage;
  • the index data processing server The infinite loop traverses the thematic data in the thematic data storage, and generates the thematic data index table according to the thematic data;
  • the index data processing server generates the metadata index table according to the second rule according to the thematic data index table, and generates the word data index table according to the third rule.
  • the query server sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain the initial query result, and the query server obtains the final according to the evaluation algorithm and the initial query result. search result.
  • the invention also provides a data search system of a cloud education platform, which comprises a teaching data storage, a thematic data extraction server, a thematic data storage, an index data processing server and a query server.
  • the thematic data extraction server is connected to the teaching data storage and the thematic data storage
  • the index data processing server is connected to the thematic data storage and the query server.
  • the thematic data extraction server is configured to traverse the data in the teaching data storage in an infinite loop, obtain the thematic data according to the first rule according to the GUID list maintained by the GUID, and store the thematic data in the thematic data storage.
  • the index data processing server is configured to traverse the thematic data in the thematic data storage in an infinite loop, and generate the thematic data index table according to the thematic data.
  • the index data processing server is configured to generate a metadata index table according to the second rule according to the thematic data index table, and generate a word data index table according to the third rule.
  • the query server sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain the initial query result, and the query server obtains the final query according to the evaluation algorithm and the initial query result. result.
  • the thematic data extraction server obtains the thematic data according to the first rule, and stores the thematic data in the thematic data storage, so According to the refinement, the efficiency of data query is improved.
  • the query server sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain the initial query result, and the query server obtains the initial query result according to the evaluation algorithm and the initial query result. Final query results.
  • FIG. 1 is a flowchart of a data search method of a cloud education platform according to a preferred embodiment of the present invention
  • FIG. 2 is a schematic diagram of a data search system of a cloud education platform according to a preferred embodiment of the present invention
  • FIG. 1 is a flow chart of a data search method of a cloud education platform according to a preferred embodiment of the present invention. As shown in FIG. 1, the data search method of the cloud education platform provided by the preferred embodiment of the present invention includes steps 101-104.
  • step 101 the thematic data extraction server traverses the data in the teaching data storage in an infinite loop, obtains the thematic data according to the first rule according to the GUID list maintained by the profile data, and stores the thematic data in the thematic data storage.
  • the teaching data store stores teaching data on the cloud education platform.
  • the teacher on the cloud education platform stores the courseware in the teaching courseware area of the teaching data storage.
  • the video recorded by the teacher in real time during the teaching can also be stored in the teaching video area of the teaching data storage.
  • Students attend the class online and rate the teacher after the course is completed.
  • the results can be stored in the Student Rating area of the Instruction Data Store.
  • the teacher arranges the assignments and stores the assignments in the student work area of the instructional data store. After the student completes the assignment, the teacher, for example, through the cloud education platform, stores the assignment score in the assignment score area of the instructional data store.
  • the teacher will summarize the main content of the course and input the corresponding keywords as metadata.
  • the cloud education platform will generate a globally unique number for each course to identify all the resources of the course (for example, courseware, video, ratings, assignments, scores, metadata). For example, if Teacher A prepares the course of the "Information System Life Cycle", when Teacher A produces the courseware and uploads it to the Teaching Data Store, the Cloud Education Platform will generate a globally unique number GUID for the courseware: a 1484645- 786e-4f7e-bc09-0ecO6add696, teaching data generated after the course, student scores, student assignments, assignment scores, metadata and other teaching data will be used as GUID al484645-786e-4f7e-bc09-0ecG6add696 Number, to facilitate the compilation of thematic data.
  • GUID globally unique number
  • the thematic data extraction server traverses the data in the teaching data storage in an infinite loop, according to the GUID list maintained by the thematic data extraction server, according to the first rule, the process of obtaining the thematic data is: the thematic data extraction server circulates in the teaching data memory in an infinite loop The data, obtain the GUID of the data, and compare whether the GUID exists in the GUID list. If not, the data corresponding to the GUID is archived as the thematic data. Specifically, thematic data extraction server maintains the GUID list. If the data GUID acquired by the thematic data extraction server in the teaching data storage exists in the GUID list, it indicates that the data has been extracted, if the GUID of the data does not exist in the GUID list.
  • the data is not extracted.
  • the thematic data extraction server extracts the teaching data corresponding to the GUID in the teaching data memory, and archives it into a static file to form a thematic data, and stores the thematic data. In the thematic data store.
  • the thematic data extraction server updates the GUID to the GUID list maintained by it.
  • each thematic data includes, for example, numbered GUID, teaching courseware, instructional videos, student ratings, student assignments, assignment scores, metadata, and the like.
  • step 102 the index data processing server loops through the thematic data in the thematic data store in an infinite loop, and generates a thematic data based on the thematic data.
  • the thematic data index table includes serial numbers, topic GUIDs, physical locations, metadata, and word data.
  • the index data processing server circulates the thematic data in the thematic data storage in an infinite loop, and compares whether the GUID of the thematic data exists in the thematic data index table, and if so, indicates that the thematic data has been refined to the thematic data index table. If it does not exist, it indicates that the thematic data has not been refined into the thematic data index table, and the related information of the thematic data needs to be added to the thematic data index table.
  • thematic data index table is as shown in Table 1.
  • the serial number indicates the number of each index information in the thematic data index table
  • the topic GUID is the teaching data.
  • GUID the physical location indicates the relevant topic data in the disk directory of the thematic data store
  • the metadata is the keyword input by the teacher
  • the word data is segmented by all the text content of the teaching data, and the number of repetitions reaches a certain preset value.
  • the words are refined. The refinement of the word data is a common technical means in the art, and therefore will not be described here.
  • step 103 the index data processing server generates a metadata index table according to the second rule according to the thematic data index table, and generates a word data index table according to the third rule.
  • the index data processing server generates the metadata index table according to the second rule according to the thematic data index table: the index data processing server sequentially traverses all the metadata in the thematic data index table, and the same metadata. Organized into a metadata index item, where the metadata index item includes metadata and its corresponding index position.
  • the index data processing server generates the word data index table according to the third rule according to the thematic data index table: the index data processing server sequentially traverses all the word data in the topic data index table, and organizes the same word data into one sentence.
  • the word data index item includes the word data and the corresponding index position.
  • the metadata index table shown in Table 2 and the word data index table shown in Table 3 can be generated.
  • serial number indicates the number of each index information in the metadata index table
  • the metadata is the metadata recorded in the thematic data index table
  • the index position indicates the corresponding serial number of the corresponding metadata in the thematic data index table.
  • the serial number indicates the number of each index information in the word data index table
  • the word data is the word data recorded in the topic data index table
  • the index position indicates the corresponding serial number of the corresponding word data in the thematic data index table.
  • step 104 when the user performs a data search, the query server sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain an initial query result.
  • the query server obtains the final query result according to the evaluation algorithm and the initial query result.
  • the user when the user searches the data of the cloud education platform, the user inputs query information (for example, a keyword), and the query server sequentially queries the metadata index table according to the query information input by the user to the index data processing server.
  • Word data index table For example, if the query information input by the user is: a life cycle, the query server to the index data processing server queries the metadata index table to obtain an initial query result, as shown in Table 4, and the query word data index table can obtain an initial query result. Table 5 shows.
  • the query server obtains the final query result according to the evaluation algorithm and the initial query result.
  • the evaluation algorithm is: obtaining an average score and an average score according to the scores and scores corresponding to each thematic data, and the evaluation value of each thematic data is equal to the product of the average score of the thematic data and the first ratio and the average score and the first a sum of products of two ratios, wherein a sum of the first ratio and the second ratio is 1.
  • the query server according to the index position in the initial query result to the topic
  • the physical index corresponding to the thematic data is found in the data index table, and the scores and scores corresponding to the thematic data are found according to the physical location, and then the average score and the average score of the corresponding thematic data are calculated, and then the evaluation value of the corresponding thematic data is calculated.
  • the first ratio is 0.4
  • the second ratio is 0.6.
  • the evaluation value of each thematic data 0.4 * the average score of the thematic data + 0.6 * the average score of the thematic data.
  • the present invention is not limited to the first ratio and the second ratio.
  • the evaluation information of the corresponding thematic data in Table 4 and Table 5 is as shown in the following table.
  • the final query result sequentially arranges the metadata query result and the word data query result, and the evaluation values of each the thematic data obtained according to the evaluation algorithm in each type are arranged in descending order.
  • the final query result as shown in Table 6 can be obtained from the evaluation values obtained by the above evaluation algorithm.
  • the query server can obtain corresponding topic data from the thematic data storage according to the final query result (for example, Table 6), and output the obtained the thematic data to the user.
  • the query server will save the final query result (for example, save the final query result to the query log memory) for the next related query, and directly obtain the corresponding final query result, thereby improving query efficiency.
  • the present invention is not limited thereto. In practical applications, the final query results can also be saved to the query server.
  • the data search system of the cloud education platform includes a teaching data storage 10, a thematic data extraction server 12, a thematic data storage 14, an index data processing server 16, and a query server 18.
  • the thematic data extraction server 12 is connected to the teaching data storage 10 and the thematic data storage 14, and the index data processing server 16 is connected to the thematic data storage 14 and the query server 18.
  • the thematic data extraction server 12 is configured to traverse the data in the teaching data storage 10 in an infinite loop, obtain the thematic data according to the first rule according to the GUID list maintained by the GUID, and store the thematic data in the thematic data storage.
  • the index data processing server 16 is configured to traverse the thematic data in the thematic data storage 14 in an infinite loop, and generate a thematic data index table according to the thematic data.
  • An index data processing server 16, configured to index the table according to the thematic data, Generating a metadata index table according to the second rule and generating a word data index table according to the third rule.
  • the query server 18 sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain an initial query result, and the query server 18 according to the evaluation algorithm and the initial query result. Get the final query result.
  • the specific operation process of the above system is the same as that described above, and therefore will not be described again.
  • the thematic data extraction server obtains the thematic data according to the first rule, and stores the thematic data in the thematic data storage, so as to pass the thematic data.
  • the refinement has improved the efficiency of data query.
  • the query server sequentially queries the metadata index table and the word data index table according to the query information input by the user to obtain the initial query result, and the query server obtains the initial query result according to the evaluation algorithm and the initial query result. Final query results.
  • the query server sequentially queries the metadata index table and the word data index table, the hit rate of the initial query result is improved, and the final query result is obtained according to the evaluation algorithm and the initial query result, thereby greatly improving the accuracy of the query.

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Abstract

La présente invention concerne un procédé et un système de recherche de données associés à une plate-forme d'éducation en nuage. Le procédé mentionné ci-dessus comprend les étapes suivantes : de parcours, à la manière d'une boucle infinie, de données situées dans une mémoire de données d'enseignement par un serveur d'extraction de données spécifiques, d'obtention de données spécifiques conformément à une première règle conforme à une liste GUID qui y est conservée, et de mémorisation des données spécifiques dans une mémoire de données spécifiques; de parcours, à la manière d'une boucle infinie, des données spécifiques situées dans la mémoire de données spécifiques par un serveur de traitement de données d'index, et de génération d'une table d'index de données spécifiques conformément aux données spécifiques; de génération, par le serveur de traitement de données d'index, conformément à la table d'index de données spécifiques, d'une table d'index de métadonnées conformément à une deuxième règle, et de génération d'une table d'index de données d'expression conformément à une troisième règle; et, lorsqu'un utilisateur recherche des données, conformément à des informations d'interrogation saisies par l'utilisateur, d'interrogation séquentielle, par un serveur d'interrogation, de la table d'index de métadonnées et de la table d'index de données d'expression à partir du serveur de traitement de données d'index, de façon à obtenir un résultat d'interrogation initial, et d'obtention, par le serveur d'interrogation, d'un résultat d'interrogation final conformément à un algorithme d'évaluation et au résultat d'interrogation initial.
PCT/CN2013/086778 2013-04-11 2013-11-08 Procédé et système de recherche de données associés à une plate-forme d'éducation en nuage WO2014166245A1 (fr)

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US10953881B2 (en) 2017-09-07 2021-03-23 Tusimple, Inc. System and method for automated lane change control for autonomous vehicles
US10953880B2 (en) 2017-09-07 2021-03-23 Tusimple, Inc. System and method for automated lane change control for autonomous vehicles
US11853071B2 (en) 2017-09-07 2023-12-26 Tusimple, Inc. Data-driven prediction-based system and method for trajectory planning of autonomous vehicles
WO2019084491A1 (fr) * 2017-10-28 2019-05-02 TuSimple Architecture de stockage pour données multimédia hétérogènes
WO2019084494A1 (fr) * 2017-10-28 2019-05-02 TuSimple Architecture de stockage pour données multimédia hétérogènes
US11312334B2 (en) 2018-01-09 2022-04-26 Tusimple, Inc. Real-time remote control of vehicles with high redundancy
US11305782B2 (en) 2018-01-11 2022-04-19 Tusimple, Inc. Monitoring system for autonomous vehicle operation
US11070756B2 (en) 2018-01-24 2021-07-20 Tusimple, Inc. Method, device and system for image acquisition control
US11852498B2 (en) 2018-02-14 2023-12-26 Tusimple, Inc. Lane marking localization
US11740093B2 (en) 2018-02-14 2023-08-29 Tusimple, Inc. Lane marking localization and fusion
US11009365B2 (en) 2018-02-14 2021-05-18 Tusimple, Inc. Lane marking localization
US11009356B2 (en) 2018-02-14 2021-05-18 Tusimple, Inc. Lane marking localization and fusion
US11295146B2 (en) 2018-02-27 2022-04-05 Tusimple, Inc. System and method for online real-time multi-object tracking
US11830205B2 (en) 2018-02-27 2023-11-28 Tusimple, Inc. System and method for online real-time multi- object tracking
US11010874B2 (en) 2018-04-12 2021-05-18 Tusimple, Inc. Images for perception modules of autonomous vehicles
US11694308B2 (en) 2018-04-12 2023-07-04 Tusimple, Inc. Images for perception modules of autonomous vehicles
US11500101B2 (en) 2018-05-02 2022-11-15 Tusimple, Inc. Curb detection by analysis of reflection images
US11523067B2 (en) 2018-09-10 2022-12-06 Tusimple, Inc. Adaptive illumination for a time-of-flight camera on a vehicle
US11877066B2 (en) 2018-09-10 2024-01-16 Tusimple, Inc. Adaptive illumination for a time-of-flight camera on a vehicle
US11292480B2 (en) 2018-09-13 2022-04-05 Tusimple, Inc. Remote safe driving methods and systems
US11714192B2 (en) 2018-10-30 2023-08-01 Tusimple, Inc. Determining an angle between a tow vehicle and a trailer
US10942271B2 (en) 2018-10-30 2021-03-09 Tusimple, Inc. Determining an angle between a tow vehicle and a trailer
US11972690B2 (en) 2018-12-14 2024-04-30 Beijing Tusen Zhitu Technology Co., Ltd. Platooning method, apparatus and system of autonomous driving platoon
US11823460B2 (en) 2019-06-14 2023-11-21 Tusimple, Inc. Image fusion for autonomous vehicle operation
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