CN113360674A - Cognitive atlas analysis method based on dynamic ontology model - Google Patents
Cognitive atlas analysis method based on dynamic ontology model Download PDFInfo
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Abstract
The invention discloses a cognitive map analysis method based on a dynamic ontology model, and belongs to the technical field of cognitive map analysis. The cognitive map analysis method based on the dynamic ontology model comprises the following steps of: s1, modeling management: establishing and configuring a data model; s2, data source management: integrating external data sources to be accessed into the map; s3, map management: providing specific data mapping configuration for the model and the example data; s4, exchanging the document to the document information table; s5, exchanging the intranet webpage data to a document information table; s6, retrieval of full and classified data. The cognitive map analysis method based on the dynamic ontology model supports various graphic layouts, time sequence analysis and custom customization, finds the value and the information, and has good popularization and application values.
Description
Technical Field
The invention relates to the technical field of cognitive map analysis, and particularly provides a cognitive map analysis method based on a dynamic ontology model.
Background
The business achievements and the relationship display among the achievements in the fields of natural resources, water conservancy and the like are lacked, and on the basis of core elements such as objects, attributes, relationships and the like, the multi-source heterogeneous data are fused and associated through the map data import tool, an index with an object as a center is established, intelligent services such as intelligent search, object super-archive, relation exploration, path analysis, association analysis, behavior time sequence analysis, map filtering, map details, map statistics and the like are provided for a user, the intelligent search of the super-archive and interactive visualization relation exploration analysis capabilities combined by holography, multi-dimension, dynamic and virtual and real are achieved to explore map data, so as to find the value and the information in the information, support various graphic layouts, time sequence analysis, personalized customization and the like, and synchronously realizing the rapid retrieval and online preview of the documents and the intranet website contents in the related fields.
Disclosure of Invention
The technical task of the invention is to provide a cognitive atlas analysis method based on a dynamic ontology model, which supports various graphic layouts, time sequence analysis and habitual customization and finds the value and information contained in the cognitive atlas analysis method.
In order to achieve the purpose, the invention provides the following technical scheme:
a cognitive map analysis method based on a dynamic ontology model comprises the following steps:
s1, modeling management: establishing and configuring a data model;
s2, data source management: integrating external data sources to be accessed into the map;
s3, map management: providing specific data mapping configuration for the model and the example data;
s4, exchanging the document to the document information table;
s5, exchanging the intranet webpage data to a document information table;
s6, retrieval of full and classified data.
Preferably, the building and configuration data model includes domains, models, attribute types, object information, relationship information, and model views.
Preferably, the domain and model are used for classifying the data model; the attribute type is a definition part of an attribute instance in a graph node or an edge; abstract pictorial representations of nodes in the object information bitmap spectrum for managing and defining points in the map; abstract drawing representation of edges in the relation information bit map; the model view looks at the abstract structure of the current picture model.
The domains and the models are used for classifying the data models, each domain comprises a plurality of models, and each model comprises different objects, attributes and relations; the attribute type is a definition part of an attribute instance in a graph node or an edge; an object is an abstract representation of a node in a graph for managing and defining points in the graph; relationships are abstract representations of edges in a graph; the model view may view the abstract structure of the current atlas model.
Preferably, data source management is used to complete the interfacing with instance data.
Preferably, the map management includes model mapping, channel management, and data synchronization.
Preferably, the model maps and configures the corresponding relation between the fields and the attributes between the model and the specific data source; the channel management is an entrance of a search part and is used for butting an object to be searched and a field to be searched; data synchronization is used to extract data into a graph database.
Preferably, the documents are collectively exchanged to the document information table through the data exchange tool, and the data table is automatically scanned to create index information in preparation for the search.
Preferably, the intranet web page data is centrally exchanged to the document information table through the data exchange tool, and the data table is automatically scanned to create index information to prepare for searching.
Preferably, the elastic search related query is used for realizing the quick retrieval of all and classified data, and the map data is explored.
The cognitive atlas analysis method based on the dynamic ontology model provides a super archive intelligent search function facing modes such as 'one person one file', 'one car one file', 'one enterprise one file' for a user based on the fused atlas data such as fused objects, attributes, relations and the like, and based on core elements such as the objects, the attributes, the relations and the like, multi-source heterogeneous data are fused, associated and index with the objects as the center is established through an atlas data importing tool, so that intelligent services such as intelligent search, object super archive, relation exploration, path analysis, association analysis, behavior time sequence analysis, atlas filtration, atlas details, atlas statistics and the like are provided for the user, the exploration is carried out on the atlas data by the holographic, multi-dimensional, dynamic and virtual-real combined super archive intelligent search and interactive visual relation exploration analysis capabilities to discover the value and information contained in the atlas data, the method supports various graphic layouts, time sequence analysis, personalized customization and the like, and synchronously realizes the quick retrieval and online preview of documents and intranet websites in related fields.
Meanwhile, the domain concepts can be described on the semantic and knowledge levels, the semantics of the concepts are described through the relationship among the concepts, and the common understanding of the domain knowledge is provided. The dynamic ontology uses the structure of an ontology conceptual model to define and manage objects (Thing), the characteristics of the objects and the Link relations among the objects in the real world uniformly according to an Object (Object), an attribute (Property) and an association (Link) data model on a semantic level, and converts and fuses various sources and various types of data to provide support for cognitive map analysis.
Compared with the prior art, the cognitive map analysis method based on the dynamic ontology model has the following outstanding beneficial effects: the cognitive map analysis method based on the dynamic ontology model provides interactive visual exploration type correlation analysis based on the ontology data model and the map data. And the user searches the map data by combining the self domain knowledge according to the semantics provided by the ontology model so as to find the value and the information contained in the map data. The method supports various graphic layouts, time sequence analysis and personalized customization, and has good popularization and application values.
Detailed Description
The method for analyzing a cognitive profile based on a dynamic ontology model according to the present invention will be described in further detail with reference to the following examples.
Examples
The cognitive map analysis method based on the dynamic ontology model comprises the following steps of:
s1, modeling management: and establishing and configuring a data model.
The data model is established and configured and comprises fields, models, attribute types, object information, relationship information and model views. The fields and the models are used for classifying the data models, each field comprises a plurality of models, and each model comprises different objects, attributes and relations; the attribute type is a definition part of an attribute instance in a graph node or an edge; an object is an abstract representation of a node in a graph for managing and defining points in the graph; relationships are abstract representations of edges in a graph; the model view may view the abstract structure of the current atlas model.
S2, data source management: integrating external data sources to be accessed into the graph.
Data source management is used to integrate external data sources that need to be accessed into the graph for completing the interface with the instance data.
S3, map management: and providing specific data mapping configuration for the model and the example data.
Map management provides specific data mapping configurations for models and instance data. The method comprises 3 parts of model mapping, channel management and data synchronization, wherein the model mapping configures the corresponding relation between fields and attributes between a model and a specific data source (a database and a table); the channel is an entrance of a search part and is used for butting an object to be searched and a field to be searched; data synchronization is used to extract data into a graph database.
S4, exchanging the document to the document information table.
Documents are collectively exchanged to a document information table through a data exchange tool, and the data table is automatically scanned to create index information to prepare for searching.
And S5, exchanging the intranet webpage data to a document information table.
The intranet webpage data are intensively exchanged to the document information table through the data exchange tool, the data table is automatically scanned to create index information, and preparation is made for searching.
S6, retrieval of full and classified data.
And (3) using the elastic search related query to realize the quick retrieval of all and classified data, and exploring the map data to find the value and information contained in the map data. And various graphic layouts, time sequence analysis, personalized customization and the like are supported.
The cognitive atlas analysis method based on the dynamic ontology model provides a super archive intelligent search function facing modes such as 'one person one file', 'one car one file', 'one enterprise one file' for a user based on the fused atlas data such as fused objects, attributes, relations and the like, and based on core elements such as the objects, the attributes, the relations and the like, multi-source heterogeneous data are fused, associated and index with the objects as the center is established through an atlas data importing tool, so that intelligent services such as intelligent search, object super archive, relation exploration, path analysis, association analysis, behavior time sequence analysis, atlas filtration, atlas details, atlas statistics and the like are provided for the user, the exploration is carried out on the atlas data by the holographic, multi-dimensional, dynamic and virtual-real combined super archive intelligent search and interactive visual relation exploration analysis capabilities to discover the value and information contained in the atlas data, the method supports various graphic layouts, time sequence analysis, personalized customization and the like, and synchronously realizes the quick retrieval and online preview of documents and intranet websites in related fields.
Meanwhile, the domain concepts can be described on the semantic and knowledge levels, the semantics of the concepts are described through the relationship among the concepts, and the common understanding of the domain knowledge is provided. The dynamic ontology uses the structure of an ontology conceptual model to define and manage objects (Thing), the characteristics of the objects and the Link relations among the objects in the real world uniformly according to an Object (Object), an attribute (Property) and an association (Link) data model on a semantic level, and converts and fuses various sources and various types of data to provide support for cognitive map analysis. The method is characterized in that objects are described by using objects, the characteristics of the objects are described by using attributes, and the connection relation between the objects is established by using correlation, so that a dynamic body is actually a series of data models for describing the objects in the real world, the dynamic body technology is a technology for carrying out unified data modeling and management on various objects in the real world, the dynamic body technology is embodied in that the established data model can be dynamically changed as required, the establishment and the search of business models in the fields of natural resources, water conservancy and the like are realized, and the search realization of document data in related fields and data of intranet websites is realized.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (9)
1. A cognitive map analysis method based on a dynamic ontology model is characterized in that: the method comprises the following steps:
s1, modeling management: establishing and configuring a data model;
s2, data source management: integrating external data sources to be accessed into the map;
s3, map management: providing specific data mapping configuration for the model and the example data;
s4, exchanging the document to the document information table;
s5, exchanging the intranet webpage data to a document information table;
s6, retrieval of full and classified data.
2. The dynamic ontology model-based cognitive atlas analysis method of claim 1, wherein: the data model is established and configured and comprises fields, models, attribute types, object information, relationship information and model views.
3. The dynamic ontology model-based cognitive atlas analysis method of claim 2, wherein: the domain and the model are used for classifying the data model; the attribute type is a definition part of an attribute instance in a graph node or an edge; abstract pictorial representations of nodes in the object information bitmap spectrum for managing and defining points in the map; abstract drawing representation of edges in the relation information bit map; the model view looks at the abstract structure of the current picture model.
4. The dynamic ontology model-based cognitive atlas analysis method of claim 3, wherein: data source management is used to complete the interface with the instance data.
5. The dynamic ontology model-based cognitive atlas analysis method of claim 4, wherein: the map management includes model mapping, channel management and data synchronization.
6. The dynamic ontology model-based cognitive atlas analysis method of claim 5, wherein: the model maps and configures the corresponding relation between the fields and the attributes between the model and the specific data source; the channel management is an entrance of a search part and is used for butting an object to be searched and a field to be searched; data synchronization is used to extract data into a graph database.
7. The dynamic ontology model-based cognitive atlas analysis method of claim 6, wherein: documents are collectively exchanged to a document information table through a data exchange tool, and the data table is automatically scanned to create index information to prepare for searching.
8. The dynamic ontology model-based cognitive atlas analysis method of claim 7, wherein: the intranet webpage data are intensively exchanged to the document information table through the data exchange tool, the data table is automatically scanned to create index information, and preparation is made for searching.
9. The dynamic ontology model-based cognitive atlas analysis method of claim 8, wherein: and (3) using the elastic search related query to realize quick retrieval of all and classified data, and exploring the map data.
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| CN109918452A (en) * | 2019-02-14 | 2019-06-21 | 北京明略软件系统有限公司 | A kind of method, apparatus of data processing, computer storage medium and terminal |
| CN110866123A (en) * | 2019-11-06 | 2020-03-06 | 浪潮软件集团有限公司 | Method for constructing data map based on data model and system for constructing data map |
| CN110990586A (en) * | 2019-12-02 | 2020-04-10 | 浪潮软件股份有限公司 | Method and device for acquiring map data |
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| CN109918452A (en) * | 2019-02-14 | 2019-06-21 | 北京明略软件系统有限公司 | A kind of method, apparatus of data processing, computer storage medium and terminal |
| CN110866123A (en) * | 2019-11-06 | 2020-03-06 | 浪潮软件集团有限公司 | Method for constructing data map based on data model and system for constructing data map |
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