CN111984694A - Orthopedics search engine system - Google Patents
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- CN111984694A CN111984694A CN202010690593.4A CN202010690593A CN111984694A CN 111984694 A CN111984694 A CN 111984694A CN 202010690593 A CN202010690593 A CN 202010690593A CN 111984694 A CN111984694 A CN 111984694A
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- 230000000399 orthopedic effect Effects 0.000 title claims abstract description 110
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- 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
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- G06F16/24—Querying
- G06F16/248—Presentation of query results
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/319—Inverted lists
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- G—PHYSICS
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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Abstract
The invention discloses an orthopedics search engine system, which comprises: the system comprises a data mining module, a knowledge map database building module, a search engine database building module and a search engine; the data mining module is used for acquiring orthopedic entity information and relationship information between the orthopedic entity information from orthopedic data resources and acquiring standardized orthopedic entity information and association information; the knowledge map database building module is used for building and storing the orthopedics knowledge map according to the orthopedics entity information and the relationship information; the search engine database building module is used for building a database for searching indexes of the digital documents in the orthopedic data resources to generate index data; and the search engine is used for responding to the retrieval content of the user and displaying the retrieval result according to the retrieval content. The search engine system provided by the invention can quickly and efficiently realize point-to-surface orthopedic knowledge search.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to an orthopedic search engine system.
Background
In the medical field, there are a large number of cases, documents, videos, etc. Many points of medical knowledge are involved in these documents, such as: diseases, symptoms, surgery, instruments, etc. People such as medical workers, patients, family members, etc. need to search these materials frequently, and the most common form of providing this service is a search engine. At present, the data retrieval in the medical field mainly adopts the following two traditional searching modes:
firstly, document data is stored in a structural database (for example, a MySql database), and the precise/fuzzy matching of the database (for example, a document with a text containing specified characters, a document with an author of the specified characters, and the like) is carried out through SQL sentences, so as to realize the searching of the document.
This approach can only implement the most basic query matching function and cannot support complex queries. For example: when the user searches for the knee joint replacement surgery, the database matching is carried out in the mode, and the results of the knee joint replacement surgery cannot be matched. In addition, this method cannot achieve the effect of query error correction/synonyms, etc. For example: "THA" is an alias of "total hip arthroplasty", but the result of "total hip arthroplasty" cannot be retrieved by performing a database search using "THA". This approach is not only inefficient in search, but also time consuming and is not suitable for high-concurrency low-latency applications.
Second, search techniques based on inverted indices. Namely, the document information to be searched is subjected to inverted index database building of characters in advance. The inverted index will record in which documents each keyword appears. When a user searches content, firstly, the input search documents are subjected to word segmentation to obtain basic tokens (words with minimum granularity), then the tokens are searched in the inverted index to find out which documents the tokens appear in, then the literal relevance of each document is calculated through a relevance algorithm, and the final search result is obtained through sequencing.
The method can better solve the problems of the first method, and therefore, the method is widely applied to complex search scenes. However, a mere search engine can only solve the process from searching the query to matching the documents, namely: what to search for. This is a point-to-point search pattern. In the medical field, a point-to-surface search is more preferred in many search scenes. The scenario we encounter is such that: the user searches for "knee osteoarthritis" and also knows the common symptoms of the disease, the treatment method and the risk of each treatment method, in addition to the information about the disease itself. The search technology of the inverted index cannot give the data required by the user at one time, and the user can obtain all the data only by initiating a plurality of searches. Therefore, this approach is not conducive to knowledge query and acquisition in the medical field.
In summary, no efficient and fast knowledge query and search technology suitable for the medical field exists at present.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention combines the traditional search engine technology with the knowledge map technology and the data mining technology, provides a solution for automatically mining knowledge data from original medical resources, then establishing the knowledge map data, and finally performing search result linkage with the knowledge map in a search engine, thereby realizing the point-to-surface search effect.
According to an aspect of the present invention, there is provided an orthopedic search engine system including:
the system comprises a data mining module, a knowledge map database building module, a search engine database building module and a search engine;
the data mining module is used for acquiring orthopedic entity information and relationship information between the orthopedic entity information from orthopedic data resources and acquiring standardized orthopedic entity information and association information;
the knowledge map database building module is used for building and storing the orthopedics knowledge map according to the orthopedics entity information and the relationship information;
the search engine database building module is used for building a database for searching indexes of the digital documents in the orthopedic data resources to generate index data;
and the search engine is used for responding to the retrieval content of the user and displaying the retrieval result according to the retrieval content.
According to an embodiment of the present invention, the search result includes: document results and map results.
According to another embodiment of the present invention, the search engine includes: a response unit, a document data search unit, and a presentation unit;
the response unit is used for responding to the retrieval content of the user;
the document data searching unit is used for retrieving the documents related to the search content in the index data, and carrying out correlation calculation and sequencing on the documents related to the search content;
and the display unit is used for displaying the sorted search results.
According to yet another embodiment of the present invention, the search engine further comprises: an entity identification unit and a graph data search unit;
the entity identification unit is used for extracting orthopedic entity information from the retrieval content;
the map data searching unit is used for acquiring map data related to the retrieval content from the orthopedic knowledge map according to the orthopedic entity information and generating the map result;
the display unit is also used for displaying the map result.
In accordance with yet another embodiment of the present invention, the data mining module,
the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring orthopedic entity information and relationship information among the orthopedic entity information from the orthopedic data resources in a manner of named entity identification and entity relationship extraction;
the method is used for obtaining standardized orthopedics entity information and associated information by adopting synonym mining and named entity normalization methods.
According to yet another embodiment of the present invention,
the orthopedics knowledge map is stored by using a map database neo4 j.
According to another embodiment of the present invention, information of each token- > document id is recorded in the index data.
According to yet another embodiment of the present invention,
the search engine database building module is used for building a database for searching and indexing the digital documents in the orthopedic data resources by adopting an inverted indexing technology to generate index data.
According to yet another embodiment of the invention, the orthopaedic data resource comprises: cases, documents, audiovisual files and/or pictures.
The invention provides a brand-new orthopedic search engine system on the basis of the traditional search engine. The system efficiently utilizes the orthopedics domain knowledge graph and inference engine data, is combined with a traditional search engine, replaces the traditional isolated search query, and finally realizes the systematic display and search linkage with the related entities in the orthopedics knowledge graph through the correlation linkage between data.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 is a diagram illustrating one embodiment of an orthopedic search engine system according to the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of a search engine in the orthopedic search engine system according to the present invention;
FIG. 3 is a schematic structural diagram of another embodiment of a search engine in the orthopedic search engine system according to the present invention;
FIG. 4 is a schematic representation of one embodiment of an orthopedic knowledgemap in accordance with the present disclosure;
FIG. 5 is a diagram illustrating an embodiment of orthopedic entity information in the present invention;
fig. 6 is a diagram illustrating an embodiment of a map related to orthopedic entity information shown in fig. 5.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
Referring to fig. 1, the orthopedic search engine system provided by the present invention comprises: a data mining module 10, a knowledge graph library building module 20, a search engine library building module 30 and a search engine 40.
The data mining module 10 is configured to obtain orthopedic entity information and relationship information between the orthopedic entity information from orthopedic data resources, and obtain standardized orthopedic entity information and associated information. Wherein the orthopedic data resources include, but are not limited to: cases, documents, audio-visual files and/or pictures, etc. The origin of the orthopaedic data resource can take many forms, for example: manual or machine collection, crawler crawling, subscriptions, and the like.
Further, the data mining module 10 is configured to obtain medical entity information and relationship information between the orthopedic entity information from the orthopedic data resources by using named entity identification and entity relationship extraction. Wherein, orthopedics entity information encyclopedia: diseases, symptoms, drugs, surgery, medical devices, and the like. The relationship information includes: disease-symptom relationships, disease-operative relationships, disease-drug relationships, and the like.
In addition, the data mining module 10 is further configured to obtain standardized orthopedic entity information and associated information by using synonym mining and named entity normalization methods. This operation is very important if accurate and comprehensive retrieval results are to be obtained. The description is still made using the examples mentioned in the background: in the orthopedic field, "THA" and "total hip arthroplasty" are the same meaning, and the data mining module 10 of the present invention can standardize these two terms to the same orthopedic entity. In this case, the search result related to the user is obtained regardless of whether the search term of the user is "THA" or "total hip arthroplasty". Obviously, compared with the prior art, the retrieval result obtained by the orthopedic search engine system provided by the invention is more comprehensive and accurate.
And the knowledge map database building module 20 is used for building and storing the orthopedics knowledge map according to the orthopedics entity information and the relationship information. Preferably, the orthopedics knowledge map is stored by using a map database neo4 j. In the orthopedics knowledge graph, all the orthopedics entities serve as nodes in the graph database, the relationship serves as edges between the nodes, and finally finished orthopedics knowledge graph data are obtained. Because the database is stored in a mode of database, a plurality of independent knowledge map databases can be established at the same time. Fig. 4 is a schematic diagram of an orthopedic knowledgemap containing a large amount of information, such as: diseases, symptoms, high-incidence population, relevant examination to be performed, occurrence part, and the like.
The search engine library building module 30 is configured to build a library for searching and indexing the digital documents in the orthopedic data resources to generate index data. Preferably, the search engine library building module 30 is configured to build a library of search indexes for the digital documents in the orthopedic data resources by using an inverted index technology, so as to generate index data. The generated index data is recorded with the information of each token- > document id. This information is used in computational searches by subsequent search engines.
The search engine 40 is configured to respond to the retrieval content of the user, and present a final retrieval result according to the retrieval content. In order to present a more precise and complete search structure to the user, preferably, the search result includes: document results and map results.
In order to obtain different retrieval results, different processing units are included in the search engine 40. Further, the search engine 40 includes: a response unit 41, a document data search unit 42, and a presentation unit 43, as shown in fig. 2.
The response unit 41 is configured to respond to the retrieval content of the user;
the document data searching unit 42 is used for retrieving the documents related to the search content in the index data, and performing correlation calculation and sorting on the documents related to the search content. Preferably, documents related to the search content are retrieved from the index data generated by the search engine library building module 30 by using an inverted index retrieval technique.
The presentation unit 43 is configured to present the sorted search results. At this point, the presentation of the document results is complete.
In order to make the retrieval result more comprehensive and rich, preferably, the search engine 40 further includes: an entity identification unit 44 and a graph data search unit 45.
The entity identification unit 44 is configured to extract orthopedic entity information from the search content. For example, if the search content of the user is "evaluation and preparation of knee replacement surgery for hemophilia arthritis", the entity identifying unit 44 extracts two pieces of orthopedic entity information, i.e., "hemophilia arthritis" and "knee replacement surgery", from the search content. Specifically, "hemophiliac arthritis" belongs to the disease entity and "knee replacement surgery" belongs to the surgical entity.
The map data searching unit 45 is configured to obtain map data related to the retrieved content from the orthopedic knowledge map according to the orthopedic entity information, and generate the map result. It can be understood that searching the extracted entity nodes in the orthopedics knowledge graph can obtain all other nodes related to the nodes, obtain graph data related to the nodes, and finally generate a graph result.
Also in the above example, the drawing data search unit 45 performs a drawing data search thereon in addition to the document retrieval. The graph data search unit 45 obtains all symptoms, treatment modes, and the like associated with the hemophilia arthritis through searching; and all diseases, surgical equipment, risks, etc. associated with "knee replacement surgery". These search results are presented to the user in the form of a map result through the presentation unit 43.
The display unit 43 is further configured to display the atlas result. In the above example, the user is able to systematically obtain all the medical domain associated entities related to "hemophiliac arthritis" and "knee replacement surgery". Further, the user may also initiate a new search based on these entities.
The search engine 40 of the orthopedic search engine system claimed in the present invention is further described below by taking a specific retrieval process as an example.
The search terms of the user are: "Knee osteoarthritis".
First, the response unit 41 responds to the retrieval content input by the user;
then, the document data searching unit 42 performs word segmentation on the search content to obtain a token set; and pulling document ids corresponding to all tokens by using an inverted index retrieval algorithm, calculating the relevance of each document id according to the number of tokens matched with each document id, the position, the importance and other characteristics of the tokens in the search content, and finally sequencing to obtain all relevant search results. Notably, the search results obtained here are document results.
The entity recognition unit 44 analyzes and extracts orthopedic entity information contained in the search contents using a natural language named entity recognition algorithm. The orthopedic entity information represents the search intention of the user, so the orthopedic entity information is extracted for subsequent graph data search.
The document data searching unit 42 and the entity identifying unit 44 can work simultaneously, that is, after the responding unit 41 responds to the retrieval content of the user, the document data searching and the entity information identification in orthopedics department can be carried out simultaneously; or may operate sequentially, that is, after the document data searching unit 42 finishes searching, the entity identifying unit 44 operates again. With the increasing level of hardware, and in order to improve the working efficiency, it is preferable to adopt a parallel working mode.
After the entity identification unit 42 identifies and extracts the orthopedic entity information, the map data search unit 45 performs orthopedic knowledge map search by using the identified orthopedic entity information, and finally obtains all other entity information related to the orthopedic entity in the orthopedic knowledge map, that is, map data related to the retrieval content. And generating the map result from the map data.
The presentation unit 43 presents the search results to the user. The search results include document results and graph results.
In addition, in order to make the retrieval result more clear for the user, the orthopedic entity information identified by the entity identifying unit 42 is further presented, as shown in fig. 5. In FIG. 5, the large box represents the document search result; the small boxes represent the identified orthopedic entity information.
At this time, the user can click on the document search result and enter the document page to view the detailed content. And can click on orthopedic entity information (such as orthopedic arthritis in a small box in fig. 5) to expand an orthopedic knowledge map related to the medical entity. The mapping result related to the orthopedic entity is obtained after the point is opened, as shown in fig. 6.
Thus, the orthopedics search engine system completes a specific retrieval process.
Furthermore, after the user acquires the relevant documents and map knowledge of the 'knee osteoarthritis' searched by the user according to the orthopedic search engine system provided by the invention, the systematic overview and learning of the 'knee osteoarthritis' can be realized. At this time, if the user wants to learn further, the user can click on a specific node to initiate a new search.
For example, the user clicks on the pathological feature "subchondral bone sclerosis" in fig. 6. At this time, the response unit 41 responds to the click of the user (i.e., corresponds to the retrieval content that the user input is acquired); then, other modules and units start a new round of retrieval work. Finally, the presentation unit 43 presents the document search result and the map result related to "subchondral bone sclerosis" to the user.
By the orthopedic search engine system provided by the invention, a user can obtain a document result related to search content, and can systematically know other systematic information related to a search entity from map data, so that the information acquisition efficiency and the user experience are improved.
Although the present invention has been described in detail with respect to the exemplary embodiments and advantages thereof, it should be understood that various changes, substitutions, and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended claims. For other examples, one of ordinary skill in the art will readily appreciate that the order of the process steps may be varied while maintaining the scope of the present invention.
Moreover, the scope of the present application is not intended to be limited to the particular embodiments of the process, machine, manufacture, composition of matter, means, methods and steps described in the specification. As one of ordinary skill in the art will readily appreciate from the disclosure of the present invention, processes, machines, manufacture, compositions of matter, means, methods, or steps, presently existing or later to be developed, that perform substantially the same function or achieve substantially the same result as the corresponding embodiments described herein may be utilized according to the present invention. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or steps.
Claims (9)
1. An orthopedic search engine system, comprising:
the system comprises a data mining module, a knowledge map database building module, a search engine database building module and a search engine;
the data mining module is used for acquiring orthopedic entity information and relationship information between the orthopedic entity information from orthopedic data resources and acquiring standardized orthopedic entity information and association information;
the knowledge map database building module is used for building and storing the orthopedics knowledge map according to the orthopedics entity information and the relationship information;
the search engine database building module is used for building a database for searching indexes of the digital documents in the orthopedic data resources to generate index data;
and the search engine is used for responding to the retrieval content of the user and displaying the retrieval result according to the retrieval content.
2. The orthopedic search engine system of claim 1, wherein the retrieval results comprise: document results and map results.
3. The orthopedic search engine system of claim 2, wherein the search engine comprises: a response unit, a document data search unit, and a presentation unit;
the response unit is used for responding to the retrieval content of the user;
the document data searching unit is used for retrieving the documents related to the search content in the index data, and carrying out correlation calculation and sequencing on the documents related to the search content;
and the display unit is used for displaying the sorted search results.
4. The orthopedic search engine system of claim 3, wherein the search engine further comprises: an entity identification unit and a graph data search unit;
the entity identification unit is used for extracting orthopedic entity information from the retrieval content;
the map data searching unit is used for acquiring map data related to the retrieval content from the orthopedic knowledge map according to the orthopedic entity information and generating the map result;
the display unit is also used for displaying the map result.
5. The orthopedic search engine system of claim 1, wherein the data mining module,
the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring orthopedic entity information and relationship information among the orthopedic entity information from the orthopedic data resources in a manner of named entity identification and entity relationship extraction;
the method is used for obtaining standardized orthopedics entity information and associated information by adopting synonym mining and named entity normalization methods.
6. The orthopedic search engine system of claim 1,
the orthopedics knowledge map is stored by using a map database neo4 j.
7. The orthopedic search engine system of claim 1, wherein the index data is loaded with information for each token- > document id.
8. The orthopedic search engine system of claim 1,
the search engine database building module is used for building a database for searching and indexing the digital documents in the orthopedic data resources by adopting an inverted indexing technology to generate index data.
9. The orthopedic search engine system of claim 1, wherein the orthopedic data resources comprise: cases, documents, audiovisual files and/or pictures.
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| CN117648478B (en) * | 2024-01-29 | 2024-04-02 | 河北省沧州中西医结合医院 | Retrieval method, system and medium based on orthopedics traditional Chinese and western medicine knowledge index classification |
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