CN109657102A - Merchandise news structural data method for building up and system - Google Patents
Merchandise news structural data method for building up and system Download PDFInfo
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- CN109657102A CN109657102A CN201811538834.2A CN201811538834A CN109657102A CN 109657102 A CN109657102 A CN 109657102A CN 201811538834 A CN201811538834 A CN 201811538834A CN 109657102 A CN109657102 A CN 109657102A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The present invention provides a kind of merchandise news structural data method for building up and systems, are related to semi-structured this paper entity extraction technical field.The described method includes: obtaining the semi-structured text data of commodity；The semi-structured text data are segmented based on industry dictionary, and extract the entity information of the commodity；Merchandise news structural data is constructed according to the entity information of the commodity.The present invention segments extraction commodity entity information from the semi-structured text data of commodity and improves cross-border electric business supervision area commodity supervisory efficiency to complete the foundation of the structural data of commodity.
Description
Technical field
The present invention relates to semi-structured this paper entity extraction technical fields, more particularly, to a kind of merchandise news structuring number
According to method for building up and system.
Background technique
In cross-border electric business supervision area, people to the descriptions of commodity, fill in it is often nonstandard, as government regulation portion
Door, it is difficult to these be described into record classified finishing and be used.So needing using text entities extractive technique to existing
Nonstandard descriptive labelling record carries out entity extraction, and the structuring of merchandise news is constructed and is used to realize.
The existing generally existing accuracy rate of semi-structured text entity extraction technology is low, it is difficult to practical problem.Can not be
The merchandise news structuring of cross-border electric business supervision area, which arranges, provides effective solution.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of merchandise news structural data method for building up and system, from
Participle extracts commodity entity information in the semi-structured text data of commodity, so that the foundation of the structural data of commodity is completed,
Improve cross-border electric business supervision area commodity supervisory efficiency.
In a first aspect, the embodiment of the invention provides a kind of merchandise news structural data method for building up, comprising:
Obtain the semi-structured text data of commodity；
The semi-structured text data are segmented based on industry dictionary, and extract the entity information of the commodity；
Merchandise news structural data is constructed according to the entity information of the commodity.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
Stating semi-structured text data includes the information of goods information data that user makes a report in cross-border electric business supervisory systems.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
It states and the semi-structured text data is segmented based on industry dictionary, and extract the entity information of the commodity, it is specific to wrap
It includes:
Keyword is extracted from the semi-structured text data of the merchandise news by intelligent recommendation algorithm, and by the pass
Keyword is added in industry dictionary；
According to the keyword in the industry dictionary, to the semi-structured text data participle of the merchandise news extract with
The entity information of the corresponding commodity of the keyword.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein mentioned by intelligent recommendation algorithm from the semi-structured text data of the merchandise news described
Keyword is taken, and after the keyword is added in industry dictionary, further includes:
The keyword that the intelligent recommendation algorithm is omitted is added to industry dictionary based on artificial labeled data.
Second aspect, the embodiment of the invention also provides a kind of merchandise news structural datas to establish system, comprising:
Module is obtained, for obtaining the semi-structured text data of commodity；
Extraction module for segmenting based on industry dictionary to the semi-structured text data, and extracts the quotient
The entity information of product；
Module is constructed, for constructing merchandise news structural data according to the entity information of the commodity.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein institute
State the information of goods information data that semi-structured text data include reporting of user in cross-border electric business supervisory systems.
In conjunction with second aspect, the embodiment of the invention provides second of possible embodiments of second aspect, wherein institute
State extraction module, comprising:
First adding unit, for being extracted by intelligent recommendation algorithm from the semi-structured text data of the merchandise news
Keyword, and the keyword is added to industry dictionary；
Extraction unit, for according to the keyword in the industry dictionary, to the semi-structured text of the merchandise news
Data participle extracts the entity information of commodity corresponding with the keyword.
In conjunction with second of possible embodiment of second aspect, the embodiment of the invention provides the third of second aspect
Possible embodiment, wherein the extraction module, further includes:
Second adding unit, for being added to the keyword that the intelligent recommendation algorithm is omitted based on artificial labeled data
In industry dictionary.
The third aspect, the embodiment of the invention provides a kind of electronic equipment, including memory, processor, the memories
In be stored with the computer program that can be run on the processor, wherein when the processor executes the computer program
The step of realizing method as described in relation to the first aspect.
Fourth aspect, the embodiment of the invention provides a kind of meters of non-volatile program code that can be performed with processor
Calculation machine readable medium, wherein said program code makes the method for the processor execution as described in relation to the first aspect.
The embodiment of the present invention brings following the utility model has the advantages that the present invention provides a kind of foundation of merchandise news structural data
Method and system.In the method, the semi-structured text data of commodity are obtained first；Again based on industry dictionary to the half hitch
Structure text data is segmented, and extracts the entity information of the commodity；Finally constructed according to the entity information of the commodity
Merchandise news structural data.This method is segmented from the semi-structured text data of commodity extracts commodity entity information, thus
The foundation for completing the structural data of commodity, improves cross-border electric business supervision area commodity supervisory efficiency.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of merchandise news structural data method for building up flow chart provided in an embodiment of the present invention；
Fig. 2 is that a kind of pair of semi-structured text data provided in an embodiment of the present invention carry out participle extraction commodity entity information
Method flow diagram；
Fig. 3 is that a kind of merchandise news structural data provided in an embodiment of the present invention establishes system structure diagram；
Fig. 4 is electronic devices structure figure provided in an embodiment of the present invention.
Icon: 31- obtains module；32- extraction module；The first adding unit of 321-；The second adding unit of 322-；323- is mentioned
Take unit；33- constructs module；4- electronic equipment；41- processor；42- memory；43- communication interface；44- bus.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Currently, the existing generally existing accuracy rate of semi-structured text entity extraction technology is low, it is difficult to practical problem.Nothing
Method provides effective solution for the merchandise news structuring arrangement of cross-border electric business supervision area.Based on this, the present invention is implemented
A kind of merchandise news structural data method for building up and system that example provides, can be applied to the structural data of merchandise news
It establishes.
For convenient for understanding the present embodiment, first to a kind of merchandise news structuring disclosed in the embodiment of the present invention
Data method for building up describes in detail.
Embodiment one:
The present invention provides a kind of merchandise news structural data method for building up, as shown in Figure 1, this method includes following step
It is rapid:
S101: the semi-structured text data of commodity are obtained.
First obtain merchandise news semi-structured text data, the semi-structured text data can be by user across
Description text of one section made a report in the electric business supervisory systems of border to some merchandise news.
S102: semi-structured text data are segmented based on industry dictionary, and extract the entity information of commodity.
As shown in Fig. 2, as a preferred embodiment, above-mentioned steps S102, specifically includes the following steps:
S1021: keyword is extracted from the semi-structured text data of merchandise news by intelligent recommendation algorithm, and will be crucial
Word is added in industry dictionary.
Keyword is extracted from the semi-structured text data of merchandise news by intelligent recommendation algorithm, the pass that will be extracted
Keyword is added in existing industry dictionary.The keyword is related to the subsequent structural data for establishing merchandise news, keyword
More, the structural data statistics of merchandise news is more detailed.
S1022: the keyword that intelligent recommendation algorithm is omitted is added to by industry dictionary based on artificial labeled data.
By manually marking keyword, the keyword that intelligent recommendation algorithm does not recognize is added in industry dictionary,
Keep industry dictionary more perfect.
S1023: according to the keyword in industry dictionary, the semi-structured text data participle of merchandise news is extracted and is closed
The entity information of the corresponding commodity of keyword.
According to the keyword in industry dictionary, the semi-structured text data of commodity are segmented, thus extract with
The entity information of the corresponding commodity of keyword.For example, the information of the grown place of commodity is extracted according to keyword " place of production ",
The concrete composition ingredient of commodity is extracted according to keyword " ingredient ".
S103: merchandise news structural data is constructed according to the entity information of commodity.
More intuitive merchandise news structural data is established according to the entity information of the product extracted.
For example, merchandise news structural data method for building up provided in an embodiment of the present invention, can be applied to customs to across
The statistics of the structural data of border merchandise news.The semi-structured data of merchandise news is user fill in one section to certain commodity
Description, for example, what user filled in is a kind of description to beer: the * * beer produced by the * * company in the city B, A state, price * *
RMB, alcoholic strength: >=3.3%vol, date of manufacture are * * * months * day, and the shelf-life 240 days (being protected from light), 5 DEG C of -25 DEG C of transports were store
Hiding, raw material: water, brewers malt, rice and hops.Pass through the semi-structured data Text Feature Extraction commodity filled in the user
Entity information, according to the entity information of the keyword extraction of industry dictionary can be the title of the beer, price, brand, the place of production,
Ingredient, alcohol content, date of manufacture or shelf-life etc..The structural data of the beer of building, can be to make
Fixed format textual form is presented, and is also possible to intuitive form, as shown in the table:
The embodiment of the invention provides a kind of merchandise news structural data method for building up, use intelligent recommendation algorithm and people
Work labeled data is combined to improve industry dictionary, and is divided from the semi-structured text data of commodity using the dictionary after improving
Word extracts commodity entity information and improves cross-border electric business supervision area commodity to complete the foundation of the structural data of commodity
Supervisory efficiency.
Embodiment two:
The present invention provides a kind of merchandise news structural datas to establish system, as shown in Figure 3, comprising:
Module 31 is obtained, for obtaining the semi-structured text data of commodity.The semi-structured of merchandise news is obtained first
Text data, the semi-structured text data can be one section made a report in cross-border electric business supervisory systems by user to some quotient
The description text of product information.It can also be the class's structured text data for needing to extract entity information in other industry.
Extraction module 32 for segmenting based on industry dictionary to semi-structured text data, and extracts the reality of commodity
Body information.Extraction module 32 includes: the first adding unit 321, for passing through half structure of the intelligent recommendation algorithm from merchandise news
Change text data and extract keyword, and keyword is added to industry dictionary.By intelligent recommendation algorithm from the half of merchandise news
Keyword is extracted in structured text data, the keyword extracted is added in existing industry dictionary.The keyword with
The subsequent structural data for establishing merchandise news is related, and keyword is more, and the structural data statistics of merchandise news is more detailed.
Second adding unit 322, for being added to the keyword that intelligent recommendation algorithm is omitted based on artificial labeled data
In industry dictionary.By manually marking keyword, the keyword that intelligent recommendation algorithm does not recognize is added to industry dictionary
In, keep industry dictionary more perfect.
Extraction unit 323, for dividing the semi-structured text data of merchandise news according to the keyword in industry dictionary
Word extracts the entity information of commodity corresponding with keyword.According to the keyword in industry dictionary, to the semi-structured of commodity
Text data is segmented, to extract the entity information of commodity corresponding with keyword.For example, " being produced according to keyword
Ground " extracts the information of the grown place of commodity, and the concrete composition ingredient of commodity is extracted according to keyword " ingredient ".
Module 33 is constructed, for constructing merchandise news structural data according to the entity information of commodity.According to what is extracted
The entity information of commodity establishes more intuitive merchandise news structural data.
Merchandise news structural data provided in an embodiment of the present invention establishes system, the commodity provided with above-described embodiment one
Message structure data method for building up technical characteristic having the same reaches identical so also can solve identical technical problem
Technical effect.
Embodiment three:
A kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 4, electronic equipment 4 includes processor 41, memory
42, the computer program that can be run on the processor is stored in the memory, the processor executes the calculating
The step of method that above-described embodiment one provides is realized when machine program.
Referring to fig. 4, electronic equipment further include: bus 44 and communication interface 43, processor 41, communication interface 43 and memory
42 are connected by bus 44.Processor 41 is for executing the executable module stored in memory 42, such as computer program.
Wherein, memory 42 may include high-speed random access memory (RAM, Random Access Memory),
It may further include nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.By at least
One communication interface 43 (can be wired or wireless) realizes the communication between the system network element and at least one other network element
Connection, can be used internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Bus 44 can be isa bus, pci bus or eisa bus etc..The bus can be divided into address bus, data
Bus, control bus etc..Only to be indicated with a four-headed arrow convenient for indicating, in Fig. 4, it is not intended that an only bus or
A type of bus.
Wherein, memory 42 is for storing program, and the processor 41 executes the journey after receiving and executing instruction
Sequence, method performed by the device that the stream process that aforementioned any embodiment of the embodiment of the present invention discloses defines can be applied to handle
In device 41, or realized by processor 41.
Processor 41 may be a kind of IC chip, the processing capacity with signal.During realization, above-mentioned side
Each step of method can be completed by the integrated logic circuit of the hardware in processor 41 or the instruction of software form.Above-mentioned
Processor 41 can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network
Processor (Network Processor, abbreviation NP) etc..It can also be digital signal processor (Digital Signal
Processing, abbreviation DSP), specific integrated circuit (Application Specific Integrated Circuit, referred to as
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or other are programmable
Logical device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute in the embodiment of the present invention
Disclosed each method, step and logic diagram.General processor can be microprocessor or the processor is also possible to appoint
What conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processing
Device executes completion, or in decoding processor hardware and software module combination execute completion.Software module can be located at
Machine memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register etc. are originally
In the storage medium of field maturation.The storage medium is located at memory 42, and processor 41 reads the information in memory 42, in conjunction with
Its hardware completes the step of above method.
Example IV:
It is provided in an embodiment of the present invention it is a kind of with processor can be performed non-volatile program code it is computer-readable
Medium, the method that said program code makes the processor execute the offer of above-described embodiment one.
Unless specifically stated otherwise, the opposite step of the component and step that otherwise illustrate in these embodiments, digital table
It is not limit the scope of the invention up to formula and numerical value.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustratively, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, section or code of table, a part of the module, section or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually base
Originally it is performed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that
It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule
The dedicated hardware based system of fixed function or movement is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of merchandise news structural data method for building up characterized by comprising
Obtain the semi-structured text data of commodity；
The semi-structured text data are segmented based on industry dictionary, and extract the entity information of the commodity；
Merchandise news structural data is constructed according to the entity information of the commodity.
2. the method according to claim 1, wherein the semi-structured text data include cross-border electric business supervision
The information of goods information data that user makes a report in system.
3. the method according to claim 1, wherein the industry dictionary that is based on is to the semi-structured text number
According to being segmented, and the entity information of the commodity is extracted, specifically included:
Keyword is extracted from the semi-structured text data of the merchandise news by intelligent recommendation algorithm, and by the keyword
It is added in industry dictionary；
According to the keyword in the industry dictionary, to the semi-structured text data participle of the merchandise news extract with it is described
The entity information of the corresponding commodity of keyword.
4. according to the method described in claim 3, it is characterized in that, it is described by intelligent recommendation algorithm from the merchandise news
Semi-structured text data extract keyword, and after the keyword is added in industry dictionary, further includes:
The keyword that the intelligent recommendation algorithm is omitted is added to industry dictionary based on artificial labeled data.
5. a kind of merchandise news structural data establishes system characterized by comprising
Module is obtained, for obtaining the semi-structured text data of commodity；
Extraction module for segmenting based on industry dictionary to the semi-structured text data, and extracts the commodity
Entity information；
Module is constructed, for constructing merchandise news structural data according to the entity information of the commodity.
6. system according to claim 5, which is characterized in that the semi-structured text data include cross-border electric business supervision
The information of goods information data of reporting of user in system.
7. system according to claim 5, which is characterized in that the extraction module, comprising:
First adding unit, it is crucial for being extracted by intelligent recommendation algorithm from the semi-structured text data of the merchandise news
Word, and the keyword is added to industry dictionary；
Extraction unit, for according to the keyword in the industry dictionary, to the semi-structured text data of the merchandise news
Participle extracts the entity information of commodity corresponding with the keyword.
8. system according to claim 7, which is characterized in that the extraction module, further includes:
Second adding unit, for the keyword that the intelligent recommendation algorithm is omitted to be added to industry based on artificial labeled data
In dictionary.
9. a kind of electronic equipment, including memory, processor, be stored in the memory to run on the processor
Computer program, which is characterized in that the processor realizes that the claims 1 to 4 are any when executing the computer program
The step of method described in item.
10. a kind of computer-readable medium for the non-volatile program code that can be performed with processor, which is characterized in that described
The step of program code makes the processor execute the Claims 1-4 described in any item methods.
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| CN111382553A (en) * | 2020-03-03 | 2020-07-07 | 舟谱数据技术南京有限公司 | Commodity normalization and retrieval system based on empirical learning |
| CN111382553B (en) * | 2020-03-03 | 2024-06-25 | 舟谱数据技术南京有限公司 | Commodity normalization and retrieval system based on experience learning |
| CN113407599A (en) * | 2021-06-30 | 2021-09-17 | 上海万物新生环保科技集团有限公司 | Text data based standardized processing method and equipment |
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