Data processing method, data processing device and electronic equipment
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A technology of data processing and point data, which is applied in the field of data processing and can solve problems such as data information loss
Inactive Publication Date: 2021-08-06
HEFEI UNIV OF TECH
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[0005] The embodiment of the present invention provides a data processing method, a data processing device, and an electronic device, so as to at least solve the technical problem in the related art that data information is easily lost when storing entity data with the same name in the knowledge graph
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Embodiment 1
[0031] According to an embodiment of the present invention, an embodiment of a data processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although in The flowcharts show a logical order, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0032] figure 1 is a flowchart of an optional data processing method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0033] Step S102, receiving a search request, wherein the search request at least includes: the entity keyword to be searched;
[0034] Step S104, in response to the retrieval request, based on the entity keywords, obtain a set of entities with the same name;
[0035] Step S106, calculating the semantic similarity between eac...
Embodiment 2
[0088] A data processing apparatus provided in this embodiment may include multiple implementation units, each implementation unit corresponding to each implementation step in the first embodiment above.
[0089] figure 2 is a schematic diagram of an optional data processing device according to an embodiment of the present invention, such as figure 2 As shown, the data processing device may include: a receiving unit 21, an acquiring unit 23, a calculating unit 25, a determining unit 27, and a fusion unit 29, wherein,
[0090] The receiving unit 21 is configured to receive a retrieval request, wherein the retrieval request includes at least: an entity keyword to be searched;
[0091] The obtaining unit 23 is used to respond to the retrieval request and obtain a collection of entities with the same name based on entity keywords;
[0092] Calculation unit 25, used to calculate the semantic similarity between each initial entity data in the entity set with the same name;
[0...
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Abstract
The invention discloses a data processing method, a data processing device and electronic equipment. The data processing method comprises: receiving a retrieval request is received, wherein the retrieval request at least comprises entity keywords to be searched; in response to the retrieval request, obtaining a homonymous entity set based on the entity keyword; calculating the semantic similarity between the initial entity data in the same-name entity set; determining a plurality of groups of entity clusters with the same semantics based on the semantic similarity between the initial entity data; and performing fusion processing on the initial entity data in each group of same entity clusters to obtain a retrieval result, the retrieval result including the super-point data obtained by the fusion processing and the associated initial entity data. The technical problem that data information is easy to lose when the same-name entity data in the knowledge graph is stored in related technologies is solved.
Description
technical field [0001] The present invention relates to the technical field of data processing, in particular to a data processing method, a data processing device, and electronic equipment. Background technique [0002] In related technologies, with the continuous expansion of the knowledge graph scale and the continuous expansion of data from different data sources, there are more and more entities with the same name in the knowledge graph. Some of these entities with the same name may all refer to the same entity. Therefore, it is necessary to solve the ambiguity of entities with the same name in the knowledge graph, fuse the same entities, and remove redundancy and error information, so as to ensure the quality of entity data in the knowledge graph and provide accurate and comprehensive technology for subsequent knowledge graph applications. support. [0003] At the same time, when storing the data in the knowledge graph, there are two ways to store the entity after th...
Claims
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