CN115983381A - Knowledge base rapid construction method and system based on online encyclopedia - Google Patents
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Abstract
The invention provides a method and a system for quickly constructing a knowledge base based on online encyclopedia, which relate to the technical field of computer application and comprise the following steps: determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field; determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry; storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting; respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple; and establishing the triples into a graph database in batch to obtain a knowledge base. The method extracts the information on the encyclopedic website and arranges the information into the structured knowledge base, so that the efficiency of constructing the knowledge base is greatly improved.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a method and a system for quickly constructing a knowledge base based on online encyclopedia.
Background
In recent years, knowledge mining using natural language processing techniques has started to be performed in more and more fields, but many detailed specific fields lack systematic knowledge collation or effective knowledge integration. Meanwhile, with the development and application of technologies such as computer networks, mobile internet and the like, novel information carriers such as online encyclopedia websites are rapidly developed, and the data volume of encyclopedia information is rapidly increased. Encyclopedia websites provide a wealth of semi-structured information about a particular domain that can help us better understand certain domains. For example, in the medical field, we can find information about drugs and diseases through encyclopedia; in the agricultural field, related information about crops and plant diseases and insect pests can be found through encyclopedia. However, the online encyclopedia website is not beneficial to direct inquiry and understanding of a computer, and the knowledge needs to be formatted, so that by utilizing the encyclopedia knowledge, knowledge in a specific field can be mined, and a rich field knowledge base can be constructed, so that the computer can better understand and utilize the knowledge.
Therefore, the method for quickly constructing the knowledge base based on the online encyclopedia is developed, information can be extracted from encyclopedia websites in an automatic mode and is arranged into the structured knowledge base, and therefore the computer is provided with better understanding and the capability of utilizing the knowledge. The method has important significance for knowledge mining in a specific field and improving the knowledge understanding capability of the computer. In addition, the richness and the completeness of the knowledge base are improved, so that the knowledge base can better serve the information inquiry and knowledge learning of human beings.
At present, the construction of the knowledge base mainly comprises manual construction, so that the time consumption, labor intensity and efficiency are low, and a plurality of detailed specific fields lack systematic knowledge arrangement or effective knowledge integration. Therefore, there is a need to develop an efficient method for extracting information from encyclopedia websites in an automated manner and organizing it into a structured knowledge base so that computers can better understand and utilize the knowledge.
However, due to the particularity of semi-structured encyclopedia information, there are certain difficulties in extracting the information. Therefore, there is a need to develop a method that can efficiently extract semi-structured information in order to organize it into a structured knowledge base. Meanwhile, a method for effectively integrating structured knowledge is required to be developed, so that the knowledge base can be richer and more complete.
Disclosure of Invention
Aiming at the problems, the invention provides a method and a system for quickly constructing a knowledge base based on-line encyclopedic, which greatly improve the construction efficiency of the knowledge base by extracting information on encyclopedic websites and arranging the information into a structured knowledge base, can automatically update the knowledge base so as to keep the latest state of the knowledge base, facilitate the learning, understanding and reasoning calculation of the information by a computer, and provide a more effective means for the mining, arrangement and application of knowledge.
In order to achieve the aim, the invention provides a method for quickly constructing a knowledge base based on online encyclopedia, which comprises the following steps:
determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry;
storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting;
respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
and establishing the triples into a database in batch to obtain a knowledge base.
As a further improvement of the invention, the method comprises the steps of determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field; the method comprises the following steps:
the collection range is specified according to the field;
and listing keywords of the fields according to the collection range of the fields to serve as a field keyword seed library.
As a further improvement of the method, encyclopedic entries are determined according to the domain keyword seed library, the determined encyclopedic entries are used for updating the domain keyword seed library in an iteration mode, and encyclopedic entries are further obtained; the method comprises the following steps:
determining an encyclopedic entry corresponding to each keyword in the domain keyword seed library according to a redirection table in an online encyclopedic website;
expanding the encyclopedic entries according to the associated entries of the encyclopedic entries and the information domain categories;
iteratively updating the domain keyword seed library according to the encyclopedia entry obtained after expansion;
and further acquiring encyclopedic entries according to the updated domain keyword seed library.
As a further improvement of the invention, the semi-structured information of all encyclopedic entries is stored, and information related to the field is obtained through screening and sorting and is stored; the method comprises the following steps:
screening the semi-structured information, collecting useful information and providing useless information;
useful information is arranged, so that the information is easier to understand and use;
the information after being sorted is the information related to the field, and the information related to the field is stored.
As a further improvement of the invention, node information and relation form information are respectively obtained based on information related to the field; the method comprises the following steps:
the node information includes: index id, node type, node body, node attribute and attribute value of the node;
the relationship form information includes: index id of source node in relation, relation type, relation name, relation attribute and attribute value, index id of target node in relation;
and extracting the nodes and the relationship between the nodes according to the information related to the field to obtain node information and relationship form information.
As a further improvement of the invention, the triples are created into a graph database in batch to obtain a knowledge base; the method comprises the following steps:
creating subgraphs in the graph database according to a batch of triples;
combining repeated nodes and repeated relations in batches according to the subgraphs to obtain graph data of batch unrelated nodes;
and repeating the steps based on the next group of triples until all the triples are completely created in the database to obtain the knowledge base.
As a further improvement of the present invention, the information based on the domain correlation respectively obtains node information and relationship form information; further comprising:
and when the acquired node information has no incidence relation with other nodes and cannot acquire the relation form information, creating the part of nodes in the graph database after the triples are all created in the graph database.
The invention also provides a system for quickly constructing the knowledge base based on the online encyclopedia, which comprises the following steps: the system comprises a seed base construction module, an encyclopedic entry acquisition module, an information screening and sorting module, a triple construction module and a database construction module;
the seed bank constructing module is used for:
determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
the encyclopedic entry acquisition module is used for:
determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry;
the information screening and sorting module is used for:
storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting;
the triplet building module is configured to:
respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
the database building module is used for:
and establishing the triples into a database in batch to obtain a knowledge base.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the information on the encyclopedic website is extracted and is organized into the structured knowledge base, so that the efficiency of constructing the knowledge base is greatly improved, the defect and the defect that the specific field is lack of systematic knowledge organization or effective knowledge integration are overcome, a computer can conveniently learn, understand and reason the information, and a more effective means is provided for knowledge mining, organization and application; the method for quickly constructing the domain knowledge base based on the structured knowledge has the advantages of wide applicability and quick construction of the knowledge base.
Drawings
FIG. 1 is a flowchart of a method for rapidly building an online encyclopedia-based knowledge base according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a field knowledge acquisition process based on-line encyclopedia according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a fast batch knowledge base construction based on domain knowledge according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a system for rapidly building a knowledge base based on online encyclopedia according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, it is obvious that the described embodiments are a part of embodiments of the present invention, but not all embodiments, and steps S1 and S2 … … in the embodiments do not limit the only execution steps of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in FIG. 1, the method for rapidly constructing the knowledge base based on the online encyclopedia, provided by the invention, comprises the following steps: acquiring domain knowledge and constructing a knowledge base;
for acquisition of domain knowledge:
the on-line encyclopedia is a knowledge base which depends on-line collaborative editing of users, and the on-line encyclopedia currently widely used comprises Wikipedia, encyclopedia, dog searching encyclopedia, interactive encyclopedia and the like. Such websites typically have a large number of hyperlinks between data instances, and users can jump between hyperlink elements to logically link the distributed data sets. The on-line encyclopedia website mainly comprises 10 types of structured information such as labels, abstracts, information frames, information domain categories, redirection, internal links, external links, related entries and pictures. The corresponding data content is shown in table 1.
TABLE 1 Online encyclopedia Web site Main data items and data contents
Acquiring knowledge related to a specific field from online encyclopedia data is a key link, and for the general structure and information form of the encyclopedia data, the field knowledge can be acquired by using information domain categories and redirection information, as shown in fig. 2, the method comprises the following steps of S1-S3:
s1, determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
wherein, the first and the second end of the pipe are connected with each other,
firstly, the domain covered by the knowledge base, namely the subject of the knowledge base, needs to be definitely established; the purpose of definite collection and the range definition of the knowledge in the field of collection, such as creating a knowledge base related to agricultural products, define whether agricultural product types and associated plant diseases and insect pests need to be collected.
Further, in the above-mentioned case,
keywords of the domain are listed as a domain keyword seed library (initialization seed) according to the collection range of the domain.
S2, determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry;
wherein the content of the first and second substances,
determining encyclopedic entries corresponding to all keywords in a domain keyword seed library according to a redirection table in an online encyclopedic website, at least extracting one encyclopedic entry, and storing semi-structured information of the encyclopedic entry in a text form;
expanding the encyclopedic entries according to the associated entries of the encyclopedic entries and the information domain categories;
iteratively updating a domain keyword seed library according to the encyclopedia entry obtained after expansion;
and further acquiring encyclopedic entries according to the updated domain keyword seed library.
In addition, in the case of the present invention,
an encyclopedic entry semantic relation dictionary can be constructed by extracting internal links and external links in encyclopedic entries; the method comprises the steps that an encyclopedic entry relation attribute information is collected, and an entry semantic knowledge dictionary is built; and expanding a domain keyword seed library.
In a further aspect of the present invention,
and the determined encyclopedia entries are used for iteratively updating the domain keyword seed library, and manual participation can be properly carried out in the process of further acquiring the encyclopedia entries.
S3, storing the semi-structured information of all encyclopedic entries, screening and sorting to obtain information related to the field, and storing the information;
wherein the content of the first and second substances,
in order to ensure the reliability and accuracy of knowledge, the acquired semi-structured information needs to be screened, sorted and stored, collected information is screened, useful information is determined, and useless information is eliminated; useful information is sorted, so that the information is easier to understand and use, and the sorted information is stored, so that the subsequent use is facilitated.
Further, in the above-mentioned case,
screening the semi-structured information, collecting useful information and providing useless information;
useful information is arranged, so that the information is easier to understand and use;
the information after being sorted is the information related to the field, and the information related to the field is stored.
In particular, the method comprises the following steps of,
on the basis of executing the above processes, iteration can be continued, the domain keyword seeds can be expanded, and relevant knowledge data can be collected. Meanwhile, other information sources such as professional documents, expert blogs and the like can be determined according to the characteristics of the field so as to acquire richer knowledge.
With respect to the construction of the knowledge base,
the domain knowledge base aims to comprehensively cover knowledge in a specific domain, provides a convenient and quick information query function and helps a user to better understand and master related knowledge. Graph databases are more convenient and faster to query for knowledge of associations than relational databases, as they can better reflect relationships and associations between data, making querying and use of information easier and easier. In addition, the graph database has higher storage efficiency and stronger expansibility, can simply and clearly express a semantic relation network between entries and knowledge, and can better meet the requirements of complex data structures and large-scale data management.
To quickly construct a knowledge base based on a graph, a general structure for constructing the knowledge base is provided: the node information and the relation information in the general structure are respectively shown in tables 2 and 3;
table 2 introduction of node information content in the general structure
| Column name | Data content |
| Index | Index id of node with uniqueness |
| Label | Node type, constructing information labels of different levels in knowledge base |
| Name | Node ontology for querying and exhibiting |
| Attribute | The attribute and attribute value of the node are expressed as key value pair |
Table 3 introduction of relationship information in the general structure
Based on the general structure of the knowledge base, a clear and clear network including knowledge relations in the knowledge base can be constructed, the construction process is shown in fig. 3, and the method comprises the following steps of S4-S6:
s4, respectively acquiring node information and relation form information based on the information related to the field, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
wherein the content of the first and second substances,
the node information includes: index id, node type, node body, node attribute and attribute value of the node;
the relationship form information includes: index id of source node in relation, relation type, relation name, relation attribute and attribute value, index id of target node in relation;
and extracting the nodes and the relationship between the nodes according to the information related to the field to obtain node information and relationship form information.
And S5, establishing the triples into a database in batch to obtain a knowledge base.
Wherein the content of the first and second substances,
creating subgraphs in a graph database according to a batch of triples;
combining repeated nodes and repeated relations in batches according to the subgraphs to obtain the graph data of the batch unrelated nodes;
and repeating the steps based on the next group of triples until all the triples are completely created in the database to obtain the knowledge base.
In particular, the method comprises the following steps of,
repeated nodes and relationships may exist in the constructed subgraph, so in order to optimize memory occupation, the repeated items may be combined in batches, for example, a triple is created by connecting the graph database once every thousand triples, and the repeated nodes and relationships existing in the graph database are combined after every fifty thousand triples.
And S6, when the acquired node information has no incidence relation with other nodes and the relation table information cannot be acquired, after all the triples are created in the graph database, creating the part of nodes in the graph database.
This step takes into account that some of the nodes in the knowledge base may not be associated with other nodes and therefore these nodes may be created in bulk.
As shown in fig. 4, the present invention further provides an online encyclopedia-based knowledge base rapid construction system, which includes: the system comprises a seed base construction module, an encyclopedic entry acquisition module, an information screening and sorting module, a triple construction module and a database construction module;
a seed bank construction module for:
determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
an encyclopedia entry obtaining module for:
determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry;
the information screening and sorting module is used for:
storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting;
a triplet building module to:
respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
a database construction module to:
and establishing the triples into a graph database in batch to obtain a knowledge base.
The invention has the advantages that:
according to the invention, the information on the encyclopedic website is extracted and is organized into the structured knowledge base, so that the efficiency of constructing the knowledge base is greatly improved, the defect and the defect that the specific field is lack of systematic knowledge organization or effective knowledge integration are overcome, a computer can conveniently learn, understand and reason the information, and a more effective means is provided for knowledge mining, organization and application; the method for quickly constructing the domain knowledge base based on the structured knowledge has the advantages of wide applicability and quick construction of the knowledge base.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A knowledge base rapid construction method based on online encyclopedia is characterized by comprising the following steps:
determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
determining an encyclopedic entry according to the field keyword seed library, iteratively updating the field keyword seed library by using the determined encyclopedic entry, and further acquiring the encyclopedic entry;
storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting;
respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
and establishing the triples into a graph database in batch to obtain a knowledge base.
2. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field; the method comprises the following steps:
the collection range is clear according to the field;
and listing keywords of the fields according to the collection range of the fields to serve as a field keyword seed library.
3. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry; the method comprises the following steps:
determining an encyclopedic entry corresponding to each keyword in the domain keyword seed library according to a redirection table in an online encyclopedic website;
expanding the encyclopedic entries according to the associated entries of the encyclopedic entries and the information domain categories;
iteratively updating the field keyword seed library according to the encyclopedic entry obtained after expansion;
and further acquiring an encyclopedic entry according to the updated domain keyword seed library.
4. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting; the method comprises the following steps:
screening the semi-structured information, collecting useful information and providing useless information;
useful information is arranged, so that the information is easier to understand and use;
the information after being sorted is the information related to the field, and the information related to the field is stored.
5. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: respectively acquiring node information and relation form information based on the information related to the field; the method comprises the following steps:
the node information includes: index id, node type, node body, node attribute and attribute value of the node;
the relationship form information includes: index id of a source node in the relation, relation type, relation name, relation attribute and attribute value, and index id of a target node in the relation;
and extracting the nodes and the relationship between the nodes according to the information related to the field to obtain node information and relationship form information.
6. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: establishing the triples into a graph database in batches to obtain a knowledge base; the method comprises the following steps:
creating subgraphs in the graph database according to a batch of triples;
combining repeated nodes and repeated relations in batches according to the subgraphs to obtain graph data of batch unrelated nodes;
and repeating the steps based on the next group of triples until all the triples are completely created in the database to obtain the knowledge base.
7. The on-line encyclopedia-based knowledge base rapid construction method according to claim 1, characterized in that: the information based on the field correlation respectively acquires node information and relation form information; further comprising:
and when the acquired node information has no incidence relation with other nodes and cannot acquire the relation form information, creating the part of nodes in the graph database after the triples are all created in the graph database.
8. A knowledge base rapid construction system based on online encyclopedia is characterized in that: the method comprises the following steps: the system comprises a seed base construction module, an encyclopedic entry acquisition module, an information screening and sorting module, a triple construction module and a database construction module;
the seed bank constructing module is used for:
determining the field of a knowledge base to be constructed, and constructing a field keyword seed base according to the field;
the encyclopedic entry acquisition module is used for:
determining an encyclopedia entry according to the field keyword seed library, and iteratively updating the field keyword seed library by using the determined encyclopedia entry to further obtain the encyclopedia entry;
the information screening and sorting module is used for:
storing the semi-structured information of all encyclopedic entries, and obtaining and storing information related to the field through screening and sorting;
the triplet building module is configured to:
respectively acquiring node information and relation form information based on field-related information, traversing index ids of a source node and a target node in the relation form information, and creating a source node-relation-target node triple;
the database construction module is configured to:
and establishing the triples into a database in batch to obtain a knowledge base.
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