CN113987204A - Method and system for constructing field encyclopedia map - Google Patents
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Abstract
The application discloses a method and a system for constructing field encyclopedia maps, wherein the method comprises the following steps: collecting related entries of a field from a plurality of open encyclopedia data sources to obtain a field entry set; respectively carrying out reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries; and constructing a field encyclopedia map based on the reference relation network and the classification tree. According to the method, the field related entries in the open encyclopedia are collected through the constructed open encyclopedia data collection model, the collected entry sets are subjected to reference labeling and label labeling, the field encyclopedia map is constructed according to the labeled information and the field encyclopedia relation model, the field encyclopedia can be constructed quickly and with low manual participation by using the open encyclopedia as a material, and the recommendation capability among the related entries is realized.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a method and a system for constructing field encyclopedia.
Background
Encyclopedia is a knowledge resource with higher value density, and compared with information, encyclopedia entries can describe concept information more comprehensively and completely. At present, open encyclopedias represented by wikipedia, encyclopedia, interactive encyclopedia, search encyclopedia and the like become one of the most valuable knowledge resources on the internet, noun concepts of almost all trades can find related entries in the open encyclopedias, and convenience is provided for users to acquire data knowledge to a certain extent.
A domain encyclopedia is an encyclopedia set of entries that contains only one or several disciplines (classes) of knowledge that have some inherent association. Compared with general encyclopedias, the field encyclopedias have the characteristics of knowledge focus and complete system, and can facilitate users in specific fields to quickly position and comprehensively know knowledge in the fields. Compared with a crowdsourcing construction mode adopted by general encyclopedias such as Wikipedia, Baidu encyclopedia, interactive encyclopedia and search encyclopedia, the field encyclopedia construction usually needs to be carried out by mechanisms and personnel organizations in the field, mainly adopts manual construction, is time-consuming and labor-consuming, and is difficult to adapt to the era characteristics of data explosion type growth.
Therefore, the field encyclopedia construction should solve several problems: the encyclopedic entries can be updated in time, and the entries are effectively expanded to support users to comprehensively understand related concepts. A good field encyclopedia construction method should generally have the following three features: the method has the advantages that information is focused, the term range of field encyclopedia is required to serve field requirements as much as possible, and field-independent terms are provided as little as possible, so that the value density of data is improved, and the interference of independent data is reduced; secondly, the construction is rapid, the construction process of the field encyclopedia, except the necessary expert knowledge confirmation process, should provide the automation ability as much as possible to realize the rapid expansion and perfection of the vocabulary entry; and thirdly, the recommendation is effective, in order to improve the knowledge acquisition efficiency of the user, the constructed field encyclopedia should have the recommendation capability of the vocabulary entry, and the recommendation of the vocabulary entry should be developed around citation recommendation and classification subject recommendation according to the use habits of the field user.
Open encyclopedias represented by wikipedia, encyclopedia, interactive encyclopedia, search encyclopedia and the like have massive encyclopedia entries, and almost cover noun concepts of all trades. However, there are still some deficiencies to using open encyclopedia to obtain knowledge of data for users in a particular domain. On one hand, mass information resources are accompanied by the unfocused knowledge, and the cost for acquiring data knowledge by a user in a specific field is increased invisibly; on the other hand, the knowledge accumulation of each open encyclopedia in a specific field has complementarity, and the requirement for acquiring the encyclopedia knowledge in the specific field cannot be well solved by depending on a single encyclopedia information source. The method of artificially constructing encyclopedia from the beginning has the defects of high construction cost and incapability of quickly constructing a large amount of components.
Content of application
The embodiment of the application aims to provide a method and a system for constructing field encyclopedia so as to solve the problems that in the prior art, open encyclopedia data are scattered and unfocused, and manual construction cost is high.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, a method for constructing a field encyclopedia map is provided, which comprises the following steps:
collecting related entries of a field from a plurality of open encyclopedia data sources to obtain a field entry set;
respectively carrying out reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries;
and constructing a field encyclopedia map based on the reference relation network and the classification tree.
In a second aspect, a system for constructing a domain encyclopedia is provided, which includes:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring field related entries from a plurality of open encyclopedia data sources to obtain a field entry set;
the labeling module is used for respectively performing reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries;
and the construction module is used for constructing the field encyclopedia map based on the reference relation network and the classification tree.
According to the method and the device, the field related entries in the open encyclopedia are collected through the constructed open encyclopedia data collection model, the collected entry sets are subjected to reference labeling and label labeling, the field encyclopedia map is constructed according to the field encyclopedia relation model according to the labeled information, the field encyclopedia can be constructed quickly and with low manual participation by taking the open encyclopedia as a material, and the recommendation capability among the related entries is realized.
Drawings
FIG. 1 is a flowchart of a method for constructing a domain encyclopedia provided in an embodiment of the present application;
FIG. 2 is a diagram of a domain encyclopedia relationship model provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of a domain encyclopedia construction system provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The invention provides a field encyclopedia map construction method and system based on open encyclopedia, which are oriented to encyclopedia knowledge construction scenes in a specific field and focus on basic features of field encyclopedia.
The method for constructing the field encyclopedia provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
As shown in fig. 1, a flowchart of a method for constructing a domain encyclopedia provided in an embodiment of the present application includes the following steps:
Specifically, the field-related entries can be respectively collected from a plurality of open encyclopedia data sources to obtain a plurality of entry sets; and removing the duplication of the plurality of entry sets to obtain a field entry set.
In this embodiment, an open encyclopedia data collection model may be constructed, and a field entry set may be collected based on the model. Specifically, the method includes the steps of collecting related entries of the field from a plurality of open encyclopedia data sources respectively to obtain a plurality of entry sets, and specifically includes:
performing the following operations for each development encyclopedia data source:
step A: taking key concepts in the field as seed entries, taking the seed entries as clues, and crawling association entries quoted by the seed entries in the open encyclopedia data source;
and B: judging whether core entries closely related to the domain knowledge exist in the crawled associated entries, if not, storing all the crawled associated entries as expansion entries into a domain entry set; if so, taking the core entry in the crawled associated entries as a new seed entry, taking other entries except the core entry in the crawled associated entries as expansion entries to be stored in a field entry set, and executing the step C;
and C: judging whether a termination condition is reached, if so, executing the step E; otherwise, executing step D;
step D: crawling the associated entries quoted by the new seed entry in the open encyclopedia data source, and executing the step B;
step E: and storing all the seed entries as core entries into the field entry set.
Wherein, judging whether the termination condition is reached specifically comprises: judging whether core entries in the crawled associated entries are all existing seed entries, and if so, determining that a termination condition is reached; otherwise, determining that the termination condition is not reached;
or
Judging whether a preset acquisition depth is reached, and if so, determining that a termination condition is reached; otherwise, it is determined that the termination condition is not reached.
And 102, respectively carrying out reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries.
Specifically, the reference relationship between different entries in the domain entry set can be analyzed to form a reference relationship network between different entries; and analyzing the inclusion relation and the affiliation relation among different entries in the field entry set to form a classification tree among the different entries.
And 103, constructing a field encyclopedia map based on the reference relation network and the classification tree.
The field encyclopedia map comprises three concepts of entries, topics and classifications, and three relations of entry reference relations, topic inclusion relations and classification affiliation relations;
accordingly, at least one entry from the set of domain entries may be selected as a topic based on the classification tree, the entry as the topic having a containment relationship with at least one other entry in the set of domain entries; selecting at least one entry from the domain entry set as a classification based on the classification tree, wherein the entry serving as the classification has an attribution relationship with at least one other entry in the domain entry set; and constructing an entry reference relation between different entries in the field encyclopedia, a topic inclusion relation between topics and entries and a classification attribution relation between classifications and entries on the basis of the reference relation network and the classification tree.
According to the method and the device, the field related entries in the open encyclopedia are collected through the constructed open encyclopedia data collection model, the collected entry sets are subjected to reference labeling and label labeling, the field encyclopedia map is constructed according to the field encyclopedia relation model according to the labeled information, the field encyclopedia can be constructed quickly and with low manual participation by taking the open encyclopedia as a material, and the recommendation capability among the related entries is realized.
The method comprises the steps of constructing field encyclopedias, wherein the problem of entry screening is firstly solved, in the embodiment of the application, the open encyclopedias are used as entry construction sources, entry collection is achieved by constructing collection models corresponding to the open encyclopedias, then, duplication removal processing is carried out on entry sets collected by a plurality of open encyclopedias, and a final field entry set is formed.
The key of field encyclopedia entry screening is the design of an open encyclopedia collection model, and as the open encyclopedia generally covers massive entry information of each field and how to accurately screen entries related to the field, the collection workload is reduced on the basis of completely covering the field entries as far as possible, so that the key problem of the open encyclopedia collection model design is solved. Firstly, a domain expert designates key concepts in a plurality of domains as seed entries, an open encyclopedia collection model crawls the seed entries and associated entries quoted by the seed entries in the open encyclopedia by taking the seed entries as clues, then the domain expert participates in semi-automatic screening of core entries closely related to domain knowledge in the associated entries, the core entries serve as new seed entries to carry out a new round of associated entry acquisition operation, and non-core entries serve as expansion entries to be stored in an open encyclopedia collection entry set. And repeating the steps until a termination condition is reached, if the seed entry set does not increase any more or an agreed acquisition depth is reached, storing all the seed entries serving as core entries into the open encyclopedia acquisition entry set.
The term labeling is a basis for constructing a domain encyclopedia term relation map, and the embodiment of the application provides two modes of reference labeling and label labeling according to the use habits of domain users. The reference labeling is mainly used for automatically analyzing the reference relation among the entries to form an entry reference relation network. The label labeling is mainly used for analyzing and constructing a classification tree of entries, and because of the professionality of field encyclopedia, the invention adopts a human-in-loop entry classification tree construction mode, firstly, the classification labels are automatically marked for the entries by a system, and then, the classification is audited and organized by a superior and inferior structure by field experts, so that the professionally classified labeling of the entries is realized.
The final step of the field encyclopedia construction is to establish a field encyclopedia map to support reading recommendations among entries. According to the application embodiment, a field encyclopedia relation model is designed according to the use habits of field users and around the reference relation and the classification subject relation among the entries, and the construction of the field encyclopedia map is realized according to the model by using the result labeled by the entries. Wherein, the field encyclopedia relation model is shown in fig. 2.
According to the embodiment of the application, the seed entries provided by the field experts are used as input, the reference relation of the open encyclopedia entries is collected layer by layer, and the quick and low-manual-participation field encyclopedia entry set with information focusing is obtained. In addition, a domain encyclopedia relation model comprising three concepts of terms, topics and classifications and three relations including term citation relations, topic inclusion relations and classification attribution relations is designed, and a domain encyclopedia constructed according to the model can face the term reading habits of domain users and well support the reading recommendation capability realization of the terms in the actual system construction and use.
As shown in fig. 3, a schematic structural diagram of a system for constructing a domain encyclopedia provided in an embodiment of the present application includes:
the acquisition module 310 is configured to acquire field-related entries from a plurality of open encyclopedia data sources to obtain a field entry set;
specifically, the acquisition module 310 includes:
the acquisition submodule is used for respectively acquiring related entries of the field from a plurality of open encyclopedia data sources to obtain a plurality of entry sets;
and the duplication removing module is used for removing duplication from the plurality of entry sets to obtain a field entry set.
Specifically, the collection submodule is specifically configured to perform the following operations on each development encyclopedia data source:
step A: taking the key concepts in the field as seed terms and taking the seed terms as clues to crawl associated terms II quoted by the seed terms in the open encyclopedia data source
And B: judging whether core entries closely related to domain knowledge exist in the crawled associated entries, if not, storing all the crawled associated entries as expansion entries into a domain entry set II, if so, storing the core entries in the crawled associated entries as new seed entries, storing other entries except the core entries in the crawled associated entries as expansion entries into the domain entry set, and executing the step C;
and C: judging whether a termination condition is reached, if so, executing the step E; otherwise, executing step D;
step D: crawling the associated entries quoted by the new seed entry in the open encyclopedia data source, and executing the step B;
step E: and storing all the seed entries as core entries into the field entry set.
In this embodiment, the determining, by the acquisition submodule, whether the termination condition is met specifically includes:
the acquisition submodule judges whether core entries in the crawled associated entries are all existing seed entries, and if so, the acquisition submodule determines that a termination condition is reached; otherwise, determining that the termination condition is not reached;
or
The acquisition submodule judges whether a preset acquisition depth is reached, and if so, the acquisition submodule determines that a termination condition is reached; otherwise, it is determined that the termination condition is not reached.
The labeling module 320 is configured to perform reference labeling and label labeling on the entries in the field entry set respectively to form a reference relationship network and a classification tree between different entries;
specifically, the tagging module 320 is specifically configured to analyze a reference relationship between different entries in the field entry set, so as to form a reference relationship network between different entries; and analyzing the inclusion relation and the affiliation relation among different entries in the field entry set to form a classification tree among the different entries.
A building module 330, configured to build a domain encyclopedia map based on the reference relationship network and the classification tree.
The field encyclopedia map comprises three concepts of entries, topics and classifications, and three relations of entry reference relations, topic inclusion relations and classification affiliation relations.
Specifically, the building module 330 is specifically configured to select, based on the classification tree, at least one entry from the domain entry set as a topic, where an inclusion relationship exists between the entry serving as the topic and at least one other entry in the domain entry set; selecting at least one entry from the domain entry set as a classification based on the classification tree, wherein the entry serving as the classification has an attribution relationship with at least one other entry in the domain entry set; and constructing an entry reference relation between different entries in the field encyclopedia, a topic inclusion relation between topics and entries and a classification attribution relation between classifications and entries on the basis of the reference relation network and the classification tree.
According to the method and the device, the field related entries in the open encyclopedia are collected through the constructed open encyclopedia data collection model, the collected entry sets are subjected to reference labeling and label labeling, the field encyclopedia map is constructed according to the field encyclopedia relation model according to the labeled information, the field encyclopedia can be constructed quickly and with low manual participation by taking the open encyclopedia as a material, and the recommendation capability among the related entries is realized.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the statement "comprises a" or "comprising" a defined element does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for constructing a field encyclopedia map is characterized by comprising the following steps:
collecting related entries of a field from a plurality of open encyclopedia data sources to obtain a field entry set;
respectively carrying out reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries;
and constructing a field encyclopedia map based on the reference relation network and the classification tree.
2. The method according to claim 1, wherein the collecting of domain-related terms from a plurality of open encyclopedia data sources to obtain a domain term set specifically comprises:
respectively collecting related entries of the field from a plurality of open encyclopedia data sources to obtain a plurality of entry sets;
and removing the duplication of the plurality of entry sets to obtain a field entry set.
3. The method according to claim 2, wherein the acquiring the domain-related entries from the plurality of open encyclopedia data sources respectively to obtain a plurality of entry sets specifically comprises:
performing the following operations for each development encyclopedia data source:
step A: taking key concepts in the field as seed entries, taking the seed entries as clues, and crawling association entries quoted by the seed entries in the open encyclopedia data source;
and B: judging whether core entries closely related to the domain knowledge exist in the crawled associated entries, if not, storing all the crawled associated entries as expansion entries into a domain entry set; if so, taking the core entry in the crawled associated entries as a new seed entry, taking other entries except the core entry in the crawled associated entries as expansion entries to be stored in a field entry set, and executing the step C;
and C: judging whether a termination condition is reached, if so, executing the step E; otherwise, executing step D;
step D: crawling the associated entries quoted by the new seed entry in the open encyclopedia data source, and executing the step B;
step E: and storing all the seed entries as core entries into the field entry set.
4. The method according to claim 3, wherein the determining whether the termination condition is reached specifically includes:
judging whether core entries in the crawled associated entries are all existing seed entries, and if so, determining that a termination condition is reached; otherwise, determining that the termination condition is not reached;
or
Judging whether a preset acquisition depth is reached, and if so, determining that a termination condition is reached; otherwise, it is determined that the termination condition is not reached.
5. The method according to claim 1, wherein the domain encyclopedia comprises three concepts of entry, topic and classification, and three relations of entry reference relation, topic inclusion relation and classification attribution relation;
the method comprises the following steps of respectively carrying out reference labeling and label labeling on the entries in the field entry set to form a reference relationship network and a classification tree among different entries, and specifically comprises the following steps:
analyzing the reference relation among different entries in the field entry set to form a reference relation network among different entries; analyzing the inclusion relation and the affiliation relation among different entries in the field entry set to form a classification tree among the different entries;
constructing a field encyclopedia map based on the reference relationship network and the classification tree, and specifically comprising the following steps:
selecting at least one entry from the domain entry set as a subject based on the classification tree, wherein the entry serving as the subject has an inclusion relationship with at least one other entry in the domain entry set;
selecting at least one entry from the domain entry set as a classification based on the classification tree, wherein the entry serving as the classification has an attribution relationship with at least one other entry in the domain entry set;
and constructing an entry reference relation between different entries in the field encyclopedia, a topic inclusion relation between topics and entries and a classification attribution relation between classifications and entries on the basis of the reference relation network and the classification tree.
6. A system for constructing a domain encyclopedia map, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring field related entries from a plurality of open encyclopedia data sources to obtain a field entry set;
the labeling module is used for respectively performing reference labeling and label labeling on the entries in the field entry set to form a reference relation network and a classification tree among different entries;
and the construction module is used for constructing the field encyclopedia map based on the reference relation network and the classification tree.
7. The system of claim 6, wherein the acquisition module comprises:
the acquisition submodule is used for respectively acquiring related entries of the field from a plurality of open encyclopedia data sources to obtain a plurality of entry sets;
and the duplication removing module is used for removing duplication from the plurality of entry sets to obtain a field entry set.
8. The system of claim 7,
the acquisition submodule is specifically configured to perform the following operations on each development encyclopedia data source:
step A: taking key concepts in the field as seed entries, taking the seed entries as clues, and crawling association entries quoted by the seed entries in the open encyclopedia data source;
and B: judging whether core entries closely related to the domain knowledge exist in the crawled associated entries, if not, storing all the crawled associated entries as expansion entries into a domain entry set; if so, taking the core entry in the crawled associated entries as a new seed entry, taking other entries except the core entry in the crawled associated entries as expansion entries to be stored in a field entry set, and executing the step C;
and C: judging whether a termination condition is reached, if so, executing the step E; otherwise, executing step D;
step D: crawling the associated entries quoted by the new seed entry in the open encyclopedia data source, and executing the step B;
step E: and storing all the seed entries as core entries into the field entry set.
9. The system of claim 8, wherein the acquisition sub-module determines whether a termination condition is reached, and specifically includes:
the acquisition submodule judges whether core entries in the crawled associated entries are all existing seed entries, and if so, the acquisition submodule determines that a termination condition is reached; otherwise, determining that the termination condition is not reached;
or
The acquisition submodule judges whether a preset acquisition depth is reached, and if so, the acquisition submodule determines that a termination condition is reached; otherwise, it is determined that the termination condition is not reached.
10. The system of claim 6, wherein the domain encyclopedia comprises three concepts of entry, topic and classification, and three relationships of entry reference relationship, topic inclusion relationship and classification attribution relationship;
the labeling module is specifically used for analyzing the reference relationship among different entries in the field entry set to form a reference relationship network among the different entries; analyzing the inclusion relation and the affiliation relation among different entries in the field entry set to form a classification tree among the different entries;
the building module is specifically configured to select at least one entry from the domain entry set as a topic based on the classification tree, where the entry serving as the topic has an inclusion relationship with at least one other entry in the domain entry set; selecting at least one entry from the domain entry set as a classification based on the classification tree, wherein the entry serving as the classification has an attribution relationship with at least one other entry in the domain entry set; and constructing an entry reference relation between different entries in the field encyclopedia, a topic inclusion relation between topics and entries and a classification attribution relation between classifications and entries on the basis of the reference relation network and the classification tree.
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