CN104699758A - Intelligent generation system and method of graphic library-associated command document - Google Patents
Intelligent generation system and method of graphic library-associated command document Download PDFInfo
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Abstract
The invention provides an intelligent generation system and method of a graphic library-associated command document. The intelligent generation system comprises a knowledge base special for military terms, a command document content planning model library, a military plotting semantic understanding module, a command document content filling module and a command document text planning module. The intelligent generation method comprises the following steps: installing a geographic information system and a military plotting library; performing semantic understanding on the military plotting; searching for a command document content planning model library, and selecting a document content planning model corresponding to the military plotting; filling the document content planning model; planning the text and automatically generating a document. According to the invention, a rapid and flexible command document generation method for users, the users can automatically generate corresponding command document through the plotting and interface-interactive operation, so as to avoid the repetitive work of manually inputting the command document again after querying the plotting and the knowledge base, improve the document preparation efficiency, and make the command document generation process more automatic and intelligent.
Description
Technical Field
The invention relates to the field of command document generation, in particular to a system and a method for intelligently generating a command document associated with a graph library.
Background
In military activities, rescue and relief work, anti-terrorism and stability maintenance and other activities, a command document to be controlled is one of important works of users, and the command document comprises commands, instructions, plans, reports and the like.
There are three traditional methods for preparing command documents. The method comprises the following steps: a user creates a blank document, manually inputs the document content, helps to know the hostile and the my conditions by manually checking a situation map, inquiring a combat database, reading a reference related command document and the like in the preparation process, and the preparation process is almost completely finished by a manual input mode except that a few information is copied and pasted from the existing document. This method is inefficient; secondly, a plan-based mode: the user prepares a command document plan in advance, imports the existing plan when the command document needs to be planned in the battle command process, and adjusts and modifies the plan according to the actual situation. The method depends on the quality of the plan, the plan depends on the experience of the user, the precision and the rigidness of the plan are difficult to ensure, and the plan still needs to be greatly modified during actual planning; thirdly, based on a template mode: because the command document has the characteristics of formatting, standard expression, fixed expression mode, clear content and the like, in order to improve the efficiency of command document planning, a template-based command document generation technology is generally adopted at present. The document template includes a fixed portion and a blank portion. The fixed part is a document fixed format and a common sentence pattern. When the command document is planned, the fixed part is not required to be modified, and only the related content is required to be filled in the blank part. The filling of the blank part of the command document template comprises two methods of manual filling and automatic filling: manually filling the content of the blank part of the command document template manually input by a user; the command document template format of automatic filling usually adopts an MS WORD document template, WORD bookmarks are inserted into blank parts of the template to be filled, a mapping (such as corresponding fields of a database table or nodes of an XML file) is established between the bookmarks and a formatted data structure of the command document, and data is automatically written into the blanks by programming and using a WORD macro editing function.
The defects of the current command document planning method or system based on the template are as follows:
(1) the command document template has poor flexibility and narrow application range. Because the template is defined in advance and the format is fixed, the template does not necessarily cover all situations, a user usually needs to modify a large amount according to actual situations, and the improvement on the simulation efficiency of the command document is very limited.
(2) When a user judges a situation and decides a decision, the situation is usually carried out by depending on a situation map, and an essential graph (such as a first-leader decision graph, a battle marching route graph and the like) needs to be plotted, and when a command document is issued, a text form or a form of combining a text and the essential graph is usually adopted to realize clear and accurate expression. At present, the method for automatically converting the content of a user icon into the corresponding document content adopts a sentence pattern blank filling method, has limited automation degree, is often difficult to truly reflect the fighting intention, and wastes a large amount of time by relying on the user to perform judgment and verification again and performing revision again.
(3) The prior method and system do not combine the combat mapping, the database retrieval result and the command document, the intention expressed by the mapping needs to be repeatedly input into the document after mapping, and a uniform information sharing and processing system is not formed.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a system and a method for intelligently generating a command document associated with a graph library.
In order to achieve the above object, the present invention adopts the following technical solutions.
A system for intelligently generating a command document associated with a graph library, which is installed on a server, comprises: the system comprises a military language special knowledge base, a command document content planning model base, a military target semantic understanding module, a command document content filling module and a command document text planning module. Wherein,
the military language special knowledge base is used for storing military terms, place names and general words;
the command document content planning model library is used for storing command document content planning models, and the planning models are used for planning the structure, paragraphs and sentence patterns of the command document;
the military target map semantic understanding module is used for semantic understanding of a single military target and combined semantic understanding of a plurality of military targets;
the command document content filling module is used for selecting a command document content planning model and determining the command document content;
and the command document text planning module is used for sentence planning and document generation.
Furthermore, the military language special knowledge base also comprises a term base, a place name base and a general word base; the term bank is used for storing knowledge of relevant terms of military classes, in particular military terms frequently used in military standard plotting; the place name library comprises a general place name library and a military place name library and is used for converting position points expressed by longitude and latitude in the situation map into place names; the universal word library is mainly used for semantic structure analysis of plotting files such as situation diagrams and key diagrams and is used for semantic identification of the situation diagrams and key diagram files.
Further, the command document content planning model library also provides management functions of the model library, including: and (3) generating a command document content planning model: inputting a large number of existing command documents to carry out document structure and semantic analysis, extracting structural features, automatically generating a content planning model of the command documents, and providing a basis for automatically generating similar command documents later; and (3) maintaining a command document content planning model: providing functions of manual modification, deletion and the like of the model; and (3) associating the command document content planning model: the method provides the functions of relation setting, content association and the like of a command document content model with the content having the association relation, and provides content reference for automatic generation of the command document.
Furthermore, the military target map semantic understanding module traverses all military targets plotted on a map layer by reading the situation map and the key map files, extracts the attributes of the military targets, performs semantic analysis on the situation map and the key map files by using the military language special knowledge base and combining the term base and the place name base in the military language special knowledge base, and obtains element information conforming to the semantic frame representation to realize the semantic understanding of the military target map.
Further, the command document content filling module automatically selects a corresponding command document content model according to the output of the military target chart semantic understanding module; planning and filling a model, namely a Schema tree according to the selected command document content; the filling content is derived from the output of the military target graph semantic understanding module, and related content is called from a knowledge base through information obtained in user interface interactive operation (such as input, clicking, dragging and the like).
Furthermore, the model in the command document content planning model library is represented by a Schema tree, where Schema tree nodes include Root, Paragraph, Sennce, archive, and Modify, where Root is a Root node and represents a full text; a plurality of Paragraph child nodes under Root represent paragraphs; sennce represents a Sentence, the basic semantic component of the Sentence is represented by alignment, and the modifier component of alignment is identified by Modify.
Further, the sentence planning function of the command document text planning module is realized by optimizing the sentences output by the command document content filling module according to an optimization rule; the document generation function is realized by converting the command document Schema tree structure after content filling and optimization into sentences, paragraphs and full text of the command document.
A method for intelligently generating a command document associated with a graphic library by using the system comprises the following steps:
step one, installing a Geographic Information System (GIS) and a military standard library on a server; the GIS is used for displaying the electronic map; the military standard library is used for storing various military standards and providing management and maintenance of the military standards so as to support users to use the military standards to plot situation maps and key maps on the electronic map;
secondly, taking a situation map and an important map file plotted by a user as input, and performing semantic understanding on a military target map;
searching a command document content planning model library according to the output of the military target map semantic understanding module, and selecting a document content planning model corresponding to the military target map;
filling a document content planning model; the sources of the filling content are: the output of the military target graph semantic understanding module, information obtained in user interface interactive operation (such as input, clicking, dragging and the like), related contents called from a military language special knowledge base and the like.
And fifthly, optimizing the document content planning model filled with the content and automatically generating the document by the command document text planning module to obtain the command document.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a fast and flexible command document generation method for a user, the user automatically generates a corresponding command document through the interactive operation of the plotting chart and the interface, the repeated work of manually inputting the command document again after the plotting chart and the knowledge base are inquired is avoided, the document simulation efficiency is improved, and the command document generation process is more automatic and intelligent.
Drawings
FIG. 1 is a block diagram of the components of a system in accordance with the present invention;
FIG. 2 is a flow chart of a method in accordance with the present invention;
fig. 3 is a schematic diagram of a command document content planning model Schema tree.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
FIG. 1 is a block diagram of a system for intelligently generating a command document associated with a graphic library, comprising: the system comprises a military language special knowledge base 1, a command document content planning model base 2, a military target semantic understanding module 3, a command document content filling module 4 and a command document text planning module 5.
A flow chart of a method for intelligently generating a command document by applying the system is shown in fig. 2, and specifically includes the following steps:
and S1, installing a GIS and a military standard library on the server.
The GIS is used for displaying the electronic map; and the military standard library is used for storing various military standards and providing management and maintenance of the military standards so as to support users to plot situation maps, key maps and the like on the electronic map by using the military standards.
And S2, establishing a military language special knowledge base 1.
The military language special knowledge base 1 is mainly used for analyzing the situation map and the key map and provides accurate, reliable, detailed and complete related knowledge for analyzing the situation map and the key map and extracting element information.
The military language special knowledge base 1 mainly comprises a term base, a place name base and a general word base. The term bank stores knowledge of relevant terms of military classes, and covers military terms commonly used when users plot situation diagrams and key diagrams. The place name library is composed of general place names and military place names, and serves to obtain place name information from position coordinates when generating a command document. The universal word library is mainly used for sentence semantic structure analysis of free text, and element information required by a protocol is obtained through the semantic structure analysis of the text.
The military language special knowledge base 1 is mainly stored in a relational database form, and provides a special management interface for adding, modifying, deleting and the like so as to facilitate the expansion and modification of rules. Meanwhile, the military language special knowledge base needs to be converted into a knowledge base file in a binary data form for a military target semantic analysis program.
The term library in the military language-specific knowledge base 1 can be obtained through a military term dictionary, and commonly used military terms and terms strongly related to the structured agreement are obtained through screening. The place name library is obtained by combining the existing general place name library and military place name library through continuous enrichment and perfection.
And S3, establishing a command document content planning model library 2 based on the Schema.
The command document content Schema is the expression of the command document sentence structure standard mode, and the document content planning is the process of constructing Schema tree and filling. Schema tree nodes are classified as Root, Paragraph, Sennce, archive, and Modify. Root is the Root node, representing the full text. Several Paragraph child nodes under Root, representing paragraphs. Sennce represents a Sentence, the basic semantic component of the Sentence is represented by alignment, and the modifier component of alignment is identified by Modify. As shown in fig. 3, the Root and Paragraph nodes of the Schema of a command document are represented as: overall plan { hostile & superior combat attempt & present level mission & decision & friend mission & combat boundary & combine department guarantee (0|1) & combat deployment & organisation command & phase & action & completion combat readiness time }.
S4, semantic recognition and operational intention understanding of military charts.
Military mark semantic recognition is carried out on key maps and situation maps plotted by users, and the method comprises recognition of a single military mark and joint recognition of multiple marks. Reading XML files of key maps and situation maps, extracting key attributes of the XML files, using a word knowledge base, combining a term base and a place name base to realize semantic analysis of XML texts of the key maps and the situation maps, and obtaining element information which accords with the semantic frame expression from the XML files.
The procured military standard has particular meaning and intent. The intention identification is to simulate a single semantic relation through a sequence model, distinguish main intentions and auxiliary intentions, thereby capturing key links of the battle and providing contextual information for realizing automatic generation of a command document according to a military target graph. The intention recognition is implemented in two steps: the first step, analyzing the fighting intention by using an intention model based on the captured entity relationship; and secondly, organizing the fighting intentions by combining context and context information through a sequence intention model, and distinguishing the main intentions from the auxiliary intentions.
And S5, filling the command document content planning model.
And (4) filling a command document content planning model Schema tree by using the military target graph semantic analysis result. If the command post and the configuration position are obtained after the military force deployment image meaning is analyzed, the filling content of the sequence node in the command document content planning model Schema tree is the enterprise attribute of 'command post marshalling', and the filling content of the modification attribute corresponding to the node comprises the name of the command post, the configuration region, the coordinates (X, Y), the configuration region place name and the like.
And filling the document content planning model by using the related contents inquired in the military language special knowledge base 1. For example, according to the fighting power in the sentence (such as the name of the army in the marshalling, the number of the senna and the like), the corresponding information of the armed disposition, the equipment configuration and the like built in the fighting database is searched, the units needing to be filled in the document Schema are searched, and the searched result is filled into the corresponding part.
Through a human-computer interaction interface, under the guidance of the interface, through interface interaction actions such as inputting, dragging, clicking and the like, relevant information is filled in a format frame, and a command document is rapidly output in various forms such as characters, forms, map notes and the like, wherein the forms include:
carrying out military grouping: the marshalling data related to the database can be dragged on the basis of the battle marshalling template to finally form marshalling files, and the marshalling data can be automatically written into a command document.
And (3) military force deployment: and selecting force nodes on a window interface formed by displaying the battle, dragging the force nodes to an electronic map, displaying army labels consistent with the force entity attributes on the map, deploying the force, and automatically writing the place names and coordinates of the deployed places into command documents.
Position acquisition: geographic information can be acquired on the electronic map in operation modes such as click selection, frame selection and the like, and corresponding positions of the command documents are automatically written.
S6, command document text planning and command document generation.
And performing text planning on the command document content planning model filled with the content by using a command document text planning module 5, performing sentence optimization and aggregation on a command document content planning model Schema tree, mainly adopting methods of substitution, combination, omission and the like, adjusting sentence structures, supporting a user to directly open WORD to further edit the automatically generated document, and finally generating a command document file.
Claims (8)
1. A system for intelligently generating a command document associated with a graph library, which is installed on a server, is characterized by comprising: the system comprises a military language special knowledge base (1), a command document content planning model base (2), a military target semantic understanding module (3), a command document content filling module (4) and a command document text planning module (5); wherein,
the military language special knowledge base (1) is used for storing military terms, place names and general words;
the command document content planning model library (2) is used for storing command document content planning models, and the planning models are used for planning the structure, paragraphs and sentence patterns of the command document;
the military target map semantic understanding module (3) is used for semantic understanding of a single military target and joint semantic understanding of a plurality of military targets;
a command document content filling module (4) for selecting a command document content planning model and determining the command document content;
and the command document text planning module (5) is used for sentence planning and document generation.
2. The intelligent graphic library associated command document generation system according to claim 1, wherein the military language specific knowledge base (1) further comprises a term base, a place name base and a general term base; the term bank is used for storing knowledge of relevant terms of military classes, in particular military terms frequently used in military standard plotting; the place name library comprises a general place name library and a military place name library and is used for converting position points expressed by longitude and latitude in the situation map into place names; the universal word library is mainly used for semantic structure analysis of plotting files such as situation diagrams and key diagrams and is used for semantic identification of the situation diagrams and key diagram files.
3. The intelligent graphical library-associated command document generation system according to claim 1, wherein the command document content planning model library (2) further provides management functions of the model library, including: and (3) generating a command document content planning model: inputting a large number of existing command documents to carry out document structure and semantic analysis, extracting structural features, automatically generating a content planning model of the command documents, and providing a basis for automatically generating similar command documents later; and (3) maintaining a command document content planning model: providing functions of manual modification, deletion and the like of the model; and (3) associating the command document content planning model: the method provides the functions of relation setting, content association and the like of a command document content model with the content having the association relation, and provides content reference for automatic generation of the command document.
4. The system for intelligently generating the command documents associated with the map library according to claim 1, wherein the military standard chart semantic understanding module (3) traverses all military standards plotted on a map layer by reading a situation chart and an important map file, extracts the attributes of the military standards, performs semantic analysis on the files of the situation chart and the important map by using the military language special knowledge base (1) in combination with a term base and a place name base in the military language special knowledge base (1), and obtains element information conforming to the semantic frame representation to realize the semantic understanding of the military standard chart.
5. The intelligent generation system of a command document associated with a graphic library according to claim 1, wherein the command document content filling module (4) automatically selects a corresponding command document content model according to the output of the military target semantic understanding module (3); planning and filling a model according to the selected command document content; the filling content is derived from the output of the military target graph semantic understanding module (3), and related content called in the military language special knowledge base (1) is obtained through information obtained in the user interface interactive operation.
6. The intelligent command document generation system associated with the graphic library according to claim 1, wherein the model in the command document content planning model library (2) is represented by a Schema tree, Schema tree nodes comprise Root, Paragraph, Sennce, alignment and Modify, and Root is Root node and represents full text; a plurality of Paragraph child nodes under Root represent paragraphs; sennce represents a Sentence, the basic semantic component of the Sentence is represented by alignment, and the modifier component of alignment is identified by Modify.
7. The intelligent generation system of a command document associated with a graphic library according to any one of claims 1 to 6, wherein the sentence planning function of the command document text planning module (5) is realized by optimizing sentences output by the command document content filling module (4) according to an optimization rule; the document generation function is realized by converting the command document Schema tree structure after content filling and optimization into sentences, paragraphs and full text of the command document.
8. A method for intelligently generating a command document associated with a graphic library by using the system of claim 1, comprising the following steps:
step one, installing a Geographic Information System (GIS) and a military standard library on a server; the GIS is used for displaying the electronic map; the military standard library is used for storing various military standards and providing management and maintenance of the military standards so as to support users to use the military standards to plot situation maps and key maps on the electronic map;
secondly, taking a situation map and an important map file plotted by a user as input, and performing semantic understanding on a military target map;
thirdly, searching a command document content planning model library (2) according to the output of the military label chart semantic understanding module (3), and selecting a document content planning model corresponding to the military label chart;
filling a document content planning model; the sources of the filling content are: the output of the military target graph semantic understanding module (3), the information obtained in the user interface interactive operation and the related contents called in the military language special knowledge base (1);
and fifthly, the command document text planning module (5) performs text planning and document automatic generation on the document content planning model filled with the content to obtain the command document.
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| CN116136873A (en) * | 2023-04-04 | 2023-05-19 | 中国电子科技集团公司第十五研究所 | Intelligent evaluation unit and method for military plotting integrating context and military semantics |
| CN116136873B (en) * | 2023-04-04 | 2023-06-23 | 中国电子科技集团公司第十五研究所 | Intelligent evaluation device and method for military plotting integrating context and military semantics |
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