CN113094517A - Method and system for constructing product knowledge unit - Google Patents
Method and system for constructing product knowledge unit Download PDFInfo
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- CN113094517A CN113094517A CN202110459498.8A CN202110459498A CN113094517A CN 113094517 A CN113094517 A CN 113094517A CN 202110459498 A CN202110459498 A CN 202110459498A CN 113094517 A CN113094517 A CN 113094517A
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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
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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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
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3334—Selection or weighting of terms from queries, including natural language queries
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links
Abstract
The invention discloses a method and a system for constructing a product knowledge unit, wherein the method comprises the following steps: establishing a primary knowledge unit list of a product, and filling primary knowledge terms in the primary knowledge unit list; constructing a lower-level knowledge unit list according to the first-level knowledge unit list to form a tree-shaped knowledge unit list structure; forming a tree-shaped knowledge unit list structure; establishing a hierarchical relationship and a peer relationship of the knowledge units to form a mesh knowledge unit list structure; creating a knowledge unit instance according to the mesh knowledge unit list structure; and creating a search engine according to the knowledge unit list structure. The method and the system can accurately extract effective design information on the Internet, uniformly clean and arrange the collected information according to the standard to enable the expression of product design knowledge to be more standardized, facilitate the direct calling of the information in the later period, and greatly improve the efficiency of designers for inquiring reference data.
Description
Technical Field
The invention relates to the field of knowledge graph construction, in particular to a method and a system for constructing a product knowledge unit
Background
The explosion of the internet now enables large amounts of data to be imported into the network. The current situation that the information is increased at a high speed not only fills our lives and widens our visual fields, but also greatly lowers the density of the actual available resources, and causes troubles for extracting effective information from well-jet type network resources. Design related personnel often need to inquire a large amount of reference materials when working and studying, information distribution of the current network in design classes is scattered, the problem that the available range of a knowledge unit list structure is wide but the pertinence is low exists, and a product design class inquiry platform which is special for product design class information inquiry and contains multi-platform information is lacked. Therefore, how to sum up various information resources and jointly organize a large amount of design knowledge to form an efficient platform convenient for designers to query information becomes a big problem to be solved urgently.
Disclosure of Invention
One of the purposes of the invention is to provide a method and a system for constructing a knowledge unit of a product, wherein the method and the system can effectively integrate important terms of the knowledge unit through the knowledge map which can construct the knowledge unit.
One of the purposes of the invention is to provide a method and a system for constructing a product knowledge unit, which can establish the hierarchical relationship among various knowledge units and can create a complete knowledge unit example for a search engine.
One of the purposes of the invention is to provide a method and a system for constructing a product knowledge unit, which can accurately extract effective design information on the internet, uniformly clean and arrange the collected information according to standards to enable the expression of the product design knowledge to be more standardized, facilitate the direct calling of the information in the later period, and greatly improve the efficiency of designers for inquiring reference data.
To achieve at least one of the above objects, the present invention further provides a method for constructing a product knowledge unit, the method comprising the steps of:
establishing a primary knowledge unit list of a product, and filling primary knowledge terms in the primary knowledge unit list;
constructing a lower-level knowledge unit list according to the first-level knowledge unit list to form a tree-shaped knowledge unit list structure;
establishing a hierarchical relationship and a peer relationship of the knowledge units to form a mesh knowledge unit list structure;
creating a knowledge unit instance according to the mesh knowledge unit list structure;
and creating a search engine according to the knowledge unit list structure.
According to a preferred embodiment of the present invention, the primary knowledge unit list comprises primary entities and primary relationships, wherein the primary relationships comprise hierarchical relationships and peer relationships, and the primary entities connect the entities in the subordinate knowledge unit list through the hierarchical relationships to construct entity-relationship-entity triples.
According to another preferred embodiment of the present invention, the primary entities as nodes of the primary knowledge unit are connected with different primary knowledge unit entities through the peer relationship, and the primary entities and the subordinate knowledge unit entities are connected to form a hierarchical network-like knowledge unit list structure.
According to another preferred embodiment of the invention, entity terms of corresponding products are crawled, and the constructed knowledge unit list structure is stored and filled in the corresponding entity terms to form a knowledge unit example.
According to another preferred embodiment of the present invention, a triple knowledge unit of hierarchical distribution of "entity-attribute-property values" is constructed by setting part of the hierarchical relationships as attribute relationships and subordinate entities as attribute values.
According to another preferred embodiment of the present invention, the method for creating a search engine comprises the steps of:
storing the constructed knowledge unit list structure in a database;
determining a retrieval field, and acquiring a URL (uniform resource locator) of the retrieval field;
crawling required entity information by adopting crawler software according to user requirements and the knowledge unit list structure;
and comparing the crawled entity information with a database, if the crawled entity information is not the same as the database, storing the entity information, and otherwise, updating a knowledge unit list structure.
According to another preferred embodiment of the invention, a search engine table entry is constructed, information in the database is imported into the search engine, and after a user inputs a query sentence, a Solr search engine is adopted to perform word segmentation processing on data input by the user by using an ik Chinese word segmentation device.
According to another preferred embodiment of the present invention, after the constructed knowledge unit list structure is stored in the database, the entity names in the next knowledge units are stored as field names.
To achieve at least one of the above objects, the present invention further provides a system for constructing a product knowledge unit,
the invention further provides a computer readable storage medium which stores and applies the above-mentioned construction system of the product knowledge unit.
Drawings
FIG. 1 is a schematic flow chart of a method for constructing a product knowledge unit according to the present invention;
FIG. 2 is a schematic diagram showing a construction process of a search engine according to the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship indicated in the drawings for ease of description and simplicity of description, and do not indicate or imply that the referenced devices or components must be in a particular orientation, constructed and operated in a particular orientation, and thus the above terms are not to be construed as limiting the present invention.
Referring to fig. 1-2, the invention discloses a method and a system for constructing a product knowledge unit, wherein the method mainly comprises the following steps: establishing a knowledge unit list; defining the level and the relation of the knowledge unit, and creating a knowledge unit instance; creating a search engine based on the knowledge unit list structure.
First, a knowledge unit list is established, wherein the knowledge unit list is a structured semantic knowledge unit based on an existing knowledge graph and is used for describing concepts in the physical world and relations between the concepts. At present, the construction of knowledge units mainly comprises 2 types, one type is a triple knowledge unit consisting of an entity-relationship-entity, and the other type is a triple knowledge unit of an entity-attribute-property value, and the existing knowledge map has only a connection relationship but no hierarchical relationship between the entity and the entity, and the connection relationship is relatively disordered, so that the entity extraction effect is poor. The invention provides a knowledge unit list structure with hierarchy.
Specifically, a primary knowledge unit list is determined and constructed, wherein the primary knowledge unit list represents a product design information core concept and comprises the following steps: the product name, the product manufacturer, the product size, the product model, the product function, the product application range, the product appearance, the product manufacturing process, the user evaluation and the like are displayed as a list of knowledge units. The primary knowledge unit comprises a primary entity and a primary relation, wherein the primary relation is connected with the corresponding primary entity, and the primary relation can be connected with the primary entity or a subordinate entity. In other words, when the knowledge unit list presents a tree structure, the entities are corresponding relationships of the branches of the nodes of the tree structure, the first-level entities are entities corresponding to the nodes with the depth of 0 layer, and the first-level relationships are relationships represented by the branches with the depths of 0 and 1 layer.
And further establishing a subordinate knowledge unit list after establishing the primary knowledge unit list, and defining the levels and the relations of the knowledge units, wherein the subordinate knowledge unit list is connected with the primary knowledge unit through the relations, the subordinate knowledge units can be secondary knowledge units and tertiary knowledge units, and each subordinate knowledge unit is connected with the own superior knowledge unit to form a tree structure with the level relations. The primary relationship in the primary knowledge unit list comprises a hierarchical relationship and a peer relationship, wherein the hierarchical relationship is connected with the entities in the subordinate knowledge unit list, and the peer relationship is connected with the peer entities. Thereby forming a hierarchical network-like knowledge unit list structure with hierarchical relationships.
The invention preferably constructs 2 levels as an embodiment to describe the technical means and the technical effects of the invention: and constructing a secondary at least unit list, wherein the secondary knowledge unit list comprises a secondary entity and a secondary relation, and the secondary entity is lower information of the primary entity. For example, the appearance of the product can be classified into style, color, shape, etc. The relation between the knowledge units of which the level mechanism is established is divided into a level relation and a non-level relation, wherein the level relation is a tree structure relation established based on the upper and lower parts of the knowledge units, the non-level relation is a mesh structure relation between the non-upper and lower knowledge units, and the knowledge unit list is adjusted according to the level relation and the non-level relation of the knowledge units. The connection relation of the tree depth of the knowledge unit is 1 and 2 is used as the connection relation of the second-level knowledge unit, the connection relation of the second-level knowledge unit is also divided into a hierarchical relation and a peer-level relation, the hierarchical relation is a first-level knowledge unit entity connected with a higher level, or the connection relation of the knowledge unit entities connected with a lower level of the second-level knowledge unit is used as the hierarchical relation of the second-level knowledge unit, the peer-level relation is established between the connection relations of the peer-level entities connected with the second-level knowledge unit, and therefore a hierarchical knowledge unit list structure with the hierarchical relation is further formed.
After the establishment of the knowledge unit list structure is completed, a knowledge unit example is further established, a knowledge unit of 'entity-relationship-entity' or 'entity-attribute-property value' is further established according to user requirements, the established knowledge unit list structure is stored, and corresponding entity information is filled in, so that a knowledge unit example is established.
The knowledge unit list structure can be used for establishing a search engine after being constructed and stored, and the search engine establishing method comprises the following steps:
and information crawling, wherein the method is developed based on an open source crawler framework WebMagic, and provides multithreading and distributed support. And (4) arranging the website which can obtain the public information through the network crawler technology at present to be used as a crawling source Url. Effective information in the interface is picked according to the user requirement and the knowledge unit list structure, and crawling is performed in a targeted manner; the system opens a crawler mechanism in three fields of design, e-commerce and competition, and comprises design websites such as common elephant and petal, etc., e-commerce websites such as Taobao, Jingdong and Mei, and competition websites such as Reddish point, etc.; wherein the effective information includes but is not limited to product name, product manufacturer, product size, product model, product function, product application range, product appearance, product manufacturing process, and user evaluation.
Further storing the crawled information in a database built by the at least unit structure, and displaying the entity names of the lower knowledge units in the knowledge unit list structure as field names. In one preferred embodiment of the invention, the crawled entity information needs to be screened, the crawled entity information is compared with the entity information in the knowledge unit list structure database, if the crawled entity information is not the same product, the crawled entity information is stored in the database, otherwise, the original database is updated.
It is worth mentioning that the invention establishes a designer-oriented search engine based on the Solr search engine. Solr is an independent enterprise-level search application server developed by taking Lucene as a kernel, and an application program can submit indexes and query indexes in an http request mode to support secondary development;
the invention establishes the items of the search engine according to the knowledge unit list structure and leads the information in the database into the search engine. After a user inputs a query sentence, a Solr search engine performs word segmentation processing on data input by the user by using an ik Chinese word segmentation device, realizes an information retrieval function by using a self-contained search method, and returns a query result to the user;
in summary, the invention first determines the primary knowledge unit list from the product design class knowledge graph based on the highest correlation principle, and then divides the secondary knowledge unit list according to the correlation of the rest knowledge units in the knowledge graph. And then converting the knowledge unit list into a tree structure to determine the level of each knowledge unit, and adjusting the knowledge unit tree according to the relation of each knowledge unit in the knowledge map. And finally, converting the adjusted knowledge unit tree into a knowledge unit list structure.
The invention also sets up a database from the established knowledge unit list structure. And traversing the related web pages of the product design by using a web crawler technology, crawling effective information aiming at the knowledge unit list structure, and storing the information into a database. And then, establishing an index for the structured information in the database by using Solr search engine technology, and providing full-text retrieval service for the user.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless section, wire section, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
It will be understood by those skilled in the art that the embodiments of the present invention described above and illustrated in the drawings are given by way of example only and not by way of limitation, the objects of the invention having been fully and effectively achieved, the functional and structural principles of the present invention having been shown and described in the embodiments, and that various changes or modifications may be made in the embodiments of the present invention without departing from such principles.
Claims (10)
1. A method of building a product knowledge unit, the method comprising the steps of:
establishing a primary knowledge unit list of a product, and filling primary knowledge terms in the primary knowledge unit list;
constructing a lower-level knowledge unit list according to the first-level knowledge unit list to form a tree-shaped knowledge unit list structure;
establishing a hierarchical relationship and a peer relationship of the knowledge units to form a mesh knowledge unit list structure;
creating a knowledge unit instance according to the mesh knowledge unit list structure;
and creating a search engine according to the knowledge unit list structure.
2. The method of claim 1, wherein the primary knowledge unit list comprises primary entities and primary relationships, wherein the primary relationships comprise hierarchical relationships and peer relationships, and the primary entities connect entities in the subordinate knowledge unit list by the hierarchical relationships to construct entity-relationship-entity triples.
3. The method as claimed in claim 2, wherein the primary entities are connected with different primary knowledge unit entities through the peer relationship as nodes of the primary knowledge unit, and the primary entities and the subordinate knowledge unit entities are connected to form a hierarchical network-like knowledge unit list structure.
4. The method of claim 3, wherein corresponding product entity terms are crawled, and the constructed knowledge unit list structure is stored and filled in corresponding entity terms to form knowledge unit instances.
5. The method for constructing a product knowledge unit according to claim 2, wherein a hierarchical triple knowledge unit of "entity-attribute-property values" is constructed by setting part of the hierarchical relationships as attribute relationships and subordinate entities as attribute values.
6. The method for building a product knowledge unit according to claim 1, wherein the method for creating the search engine comprises the following steps:
storing the constructed knowledge unit list structure in a database;
determining a retrieval field, and acquiring a URL (uniform resource locator) of the retrieval field;
crawling required entity information by adopting crawler software according to user requirements and the knowledge unit list structure;
and comparing the crawled entity information with a database, if the crawled entity information is not the same as the database, storing the entity information, and otherwise, updating a knowledge unit list structure.
7. The method as claimed in claim 6, wherein the search engine is constructed by building a table entry, and introducing the information in the database into the search engine, after the user inputs the query sentence, the Solr search engine is used to perform word segmentation on the data input by the user by using an ik Chinese word segmentation device.
8. The method as claimed in claim 4, wherein the list structure of the knowledge units is stored in the database, and the names of the entities in the next knowledge units are stored as field names.
9. A system for building a product knowledge unit, the system using a method for building a product knowledge unit according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores and applies the construction system of a product knowledge unit according to claim 9.
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