CN109101277B - Information processing system based on semantic consistency - Google Patents
Information processing system based on semantic consistency Download PDFInfo
- Publication number
- CN109101277B CN109101277B CN201710470821.5A CN201710470821A CN109101277B CN 109101277 B CN109101277 B CN 109101277B CN 201710470821 A CN201710470821 A CN 201710470821A CN 109101277 B CN109101277 B CN 109101277B
- Authority
- CN
- China
- Prior art keywords
- information
- language
- relations
- supply
- objects
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 10
- 238000011161 development Methods 0.000 claims abstract description 20
- 238000005538 encapsulation Methods 0.000 claims abstract description 6
- 230000002093 peripheral effect Effects 0.000 claims abstract description 5
- 238000011002 quantification Methods 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 5
- 230000009467 reduction Effects 0.000 claims description 2
- 239000012792 core layer Substances 0.000 abstract description 3
- 230000008520 organization Effects 0.000 abstract description 3
- 239000000284 extract Substances 0.000 abstract 1
- 238000012545 processing Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 238000012356 Product development Methods 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000007474 system interaction Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/31—Programming languages or programming paradigms
- G06F8/312—List processing, e.g. LISP programming language
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
- G06F8/24—Object-oriented
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Software Systems (AREA)
- Human Resources & Organizations (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Quality & Reliability (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Biodiversity & Conservation Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Machine Translation (AREA)
- Stored Programmes (AREA)
Abstract
The invention discloses an information processing system based on semantic consistency. The system core layer extracts abstract data codes by adopting artificial intelligent language writing, and the development language used by peripheral encapsulation is a mainstream language; the system adopts a unified data structure expression mode to abstract things into three major classes of objects, operations and relations, the three major classes can be nested, overlapped and multiplexed, and structured data accurately delineate the three major classes; the system performs dimensionality quantification on the supply-demand relationship in a state, and then combines the data structure expression mode, so that operation planning of the accurate supply-demand relationship is realized; abstract relational database development module code is developed for rapid development. The invention re-describes the information in a mode of abstract expression, improves the compatibility of the system in various organization groups, adopts multi-language mixed programming, and integrates the advantages of multiple languages.
Description
Technical Field
The invention relates to a specific ERP system, in particular to an information processing system based on semantic consistency.
Background
ERP is meant to be enterprise resource planning, which is a management concept based on a supply chain, and is built on information technology to provide decision-making assistance for high-level enterprises and employees. Currently, general ERP systems of forest are available on the market, but the ERP systems are large and expensive in software and large in configuration, or only project management is required for narrow use fields, such as some ERP systems, and only purchasing financial production is required for some ERP systems. In addition, these ERP information lack of quantification of information from an abstract level can lead to various "semantic consistency" problems when using system interactions, as the context of the languages used by the two parties are inconsistent when interacting.
Disclosure of Invention
In view of the above, the invention provides an information processing system based on semantic consistency, which solves the problems of information dimension quantization, semantic location recognition and logic dynamic deduction involved in the information processing process, adopts a unified data expression structure to locate information in various organizations, flexibly and dynamically matches various supply and demand relations, and can dynamically configure resources in the organizations more flexibly.
The invention solves the technical problems by the following technical means:
According to the information processing system based on semantic consistency, codes of abstract data are extracted layer by the core layer of the system, artificial intelligent languages are adopted for writing, and development languages used for peripheral encapsulation are mainstream languages; the system adopts a unified data structure expression mode to abstract things into three major classes of objects, operations and relations, the three major classes can be nested, superimposed and multiplexed, structured data accurately delineate the three major classes, then the three major classes are subjected to dimension quantization again, and various information is accurately positioned and delineated by the modes; the system performs dimensionality quantification on the supply-demand relationship in a state, and then combines the data structure expression mode, so that operation planning of the accurate supply-demand relationship is realized; the system is provided with a relational database for storing data, so that the data can be stored in the relational database in an organized and associated manner according to specific dimensions, a plurality of modes convenient for modeling are abstracted for the operation of the relational database again, and then abstract relational database development module codes are developed for rapid development.
The dimensions include time, location, nature, value, and ownership.
The artificial intelligence language is LISP-like language, and the main stream language is JVM-based language, compiling type language and interpretation type language.
The objects are dialectical presence things that operate to affect the state of one or more objects through a process, and the relationships are direct product relationships between the operations of the objects.
The structuring is a partitioning of relatively comprehensive dimensions, each of which in turn may be subdivided into a plurality of dimensions.
The relational database is used for adding, deleting, modifying and inquiring data.
The invention has the remarkable advantages that the information is subjected to the modeling abstract expression again, the compatibility of the system in various organization groups is improved, the information is expressed in a unified data structure form, and the supply and demand change is dynamically processed. The system prototype can be developed in a short time by adopting the advantages of multiple languages for mixed programming and integrating the multiple languages, so that the development efficiency is improved.
Drawings
The invention is further described below with reference to the drawings and examples.
FIG. 1 is a schematic diagram of the precise description of three things, namely objects, operations and relations, by a dimension subdivision method.
FIG. 2 is a hierarchical diagram of resource supply and demand relationships.
Fig. 3 is a finite state machine.
Detailed Description
The invention will be described in detail below with reference to the accompanying drawings, as shown in fig. 1,2 and 3:
An information processing system based on semantic consistency is characterized in that codes of abstract data are extracted layer by the core layer of the system are written by artificial intelligent language, and development language used by peripheral encapsulation is a mainstream language; the system adopts a unified data structure expression mode to abstract things into three major classes of objects, operations and relations, the three major classes can be nested, superimposed and multiplexed, structured data accurately delineate the three major classes, then the three major classes are subjected to dimension quantization again, and various information is accurately positioned and delineated by the modes; the system performs dimensionality quantification on the supply-demand relationship in a state, and then combines the data structure expression mode, so that operation planning of the accurate supply-demand relationship is realized; the system is provided with a relational database for storing data, so that the data can be stored in the relational database in an organized and associated manner according to specific dimensions, a plurality of modes convenient for modeling are abstracted for the operation of the relational database again, and then abstract relational database development module codes are developed for rapid development.
The dimensions include time, location, nature, value, and ownership.
The artificial intelligence language is LISP-like language, and the main stream language is JVM-based language, compiling type language and interpretation type language.
The objects are dialectical presence things that operate to affect the state of one or more objects through a process, and the relationships are direct product relationships between the operations of the objects.
The structuring is a partitioning of relatively comprehensive dimensions, each of which in turn may be subdivided into a plurality of dimensions.
The relational database is used for adding, deleting, modifying and inquiring data.
Fig. 1 graphically illustrates a method for describing dimension information of objects, wherein the dimensions are provided with dimensions, the dimensions are provided with dimensions outside, the objects are divided into three objects, operations and relations, and the three objects can be accurately described according to the dimension subdivision method. The arrow in the above illustration indicates that certain dimension information is subdivided again, and the number of squares in the figure represents the dimension category. The macroscopic view dimension is stable and the microscopic view dimension is dynamically adjustable.
FIG. 2 illustrates a hierarchy of resource supply and demand relationships, with arrows representing operations such as resources t1, t2, t3 in the illustration may synthesize resource t6, and resources t5 and t6 may synthesize resource t7. The resource is abstracted into points, the arrow is the relation between two points, the relation between the points is expressed according to the thought of fig. 1, and all other resources which need to synthesize the resource can be deduced from the resources of a certain level until the resources are traversed until the resources (which do not need to be synthesized) exist. The supply-demand relationship is a directed graph, and can be subjected to a conditional reduction according to the actual operation of a specific scene, and the relationship is converted into a single-valued relationship from multiple corresponding relationships.
FIG. 3 shows a finite state machine, showing the state transitions of the finite state machine over time during resource transformation. As to which states need to be divided in the resource conversion process, classification is required according to actual scenes. In the present figure, four states are taken as an example, state S1 is an initial state, and state S4 is an end state.
Each resource in fig. 2 can be summarized by its state change by fig. 3. In the whole process, the state can change along with the change of various conditions of the outside.
Example 1
The unified data expression structure mode is the guarantee of ensuring the consistency of the semantics. Natural language is irrational and is used to facilitate human communication, but is prone to ambiguity. Information can be expressed relatively precisely only in a useful formal language, and then logical deductions are made in such structured language to form a relatively reliable formal system
For three major classes, objects, operations, and relationships can be relatively precisely delineated by structured data. Structured meaning is divided into relatively comprehensive dimensions, each of which in turn can be subdivided into a plurality of dimensions. The objects here are not only those that can be recognized by the eyes, but are rather a broad source (human, material, man-made, heart, intellectual, etc.), and an operation is not a matter of reason and coincidence of these sources. Five interrelations (mutual transformation and mutual generation) exist among the three categories, and the transformation relationship between codes and data in the analog programming language design.
An object (for example, a chip) is characterized, within an enterprise organization, by the dimensions time, location, nature, value, ownership, etc., wherein location is a spread over geographic locations, virtual or real, nature is distinguishing between the object and other objects, value is a quantified attribute of the commodity transaction that is artificially appended, and ownership is an attribute of the ownership of the object. This idea is illustrated in fig. 1.
The programming language is a carrier implemented by software, and can be divided from various angles from the advent of a computer to the time when the total programming language of forest stands exists. There are procedural, functional, object-oriented languages from the programming paradigm, and compiled and interpreted languages from the compilation perspective.
The system is developed by adopting multi-language mixed programming, integrates the advantages of multiple languages, can develop a system prototype in a short time, and improves the development efficiency. The system core code is developed by adopting a LISP-like language, wherein the LISP-like language is a list-like language, is a meta language, is an artificial intelligence special language, and is convenient for processing mathematical models expressing abstract and processing abstract data. The LISP-like language supports various programming paradigms, is currently used in the field of scientific research artificial intelligence, and is the first choice for core code development due to the efficient algorithm expression capability. On the core code, various mainstream development languages can be used for development, so that the existing open source library of various languages can be better utilized, secondary development is reduced, and other software systems can be better docked. Peripheral encapsulation interface code on top of core code, considering the language that can be compiled to run on top of the JVM and the various interpreted languages, the encapsulation interface can be quickly tailored to specific needs to cope with practical situations.
When the data amount exceeds a certain degree, in order to facilitate the addition, deletion, modification and inquiry of the data, the data is stored in a database mode at the moment as a first choice. The present system employs a relational database such that data may be stored in the database in an organized and associative manner according to a particular dimension. In order to facilitate rapid modeling based on the database, the system abstracts some modes which are convenient for modeling for the operation of the database again, and then develops abstract database development module codes which are convenient for rapid development.
Various commercial transactions, product development, manufacturing, human resources, etc. can appear as a collection of a variety of different supply and demand relationships that can again be decomposed, quantified, and transformed into specific operations that can change the object. FIG. 3 reflects the deduction of the state changes of various objects under various operations, which may be abstracted into a directed graph, the points of the graph representing various object states, and the arrows representing specific operations.
Fig. 2 shows a multiple correspondence relationship, which is characterized in that a rule under a certain condition is introduced, and the rule can be single valued by using mathematical definitions such as hall theorem, selection axiom and the like, so as to establish a one-to-one correspondence relationship. This allows for accurate quantization. The supply and demand relationship is taken as a special object, the state of the supply and demand relationship is continuously changed based on a series of operations, other states can be defined based on conditions between balance and unbalance of the supply and demand relationship, so that a plurality of state jumps occur, and the change can be expressed by a finite state machine.
The four modules are integrated to construct an abstract meta-information processing system, and the practical information processing system can be rapidly realized in the face of practical situations.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (3)
1. The information processing system based on semantic consistency is characterized in that the core code of the system is written by adopting an artificial intelligence language, and the development language used by peripheral encapsulation is a JVM-based language, a compiling-type or an interpretation-type language; the system adopts a unified data structure expression mode, abstracts information into three major categories of objects, operations and relations, the three major categories of information can be nested, overlapped and multiplexed, structured data is used for accurately describing the three major categories of information, and then the three major categories of information is subjected to dimension quantization, so that the information is accurately positioned and described; the object is generalized resource information; the operation is to influence the state information of one or more objects through a process, the relation is direct product relation information between the objects and the operation, the structuring is to divide comprehensive dimensions, each dimension can be subdivided into a plurality of dimensions, the dimensions comprise time, position, property, value and attribution right, the position is a spread of geographic position, the property is to distinguish difference characteristics and the same characteristics of the object and other objects, the value is a quantitative attribute of the commodity transaction which is artificially added, and the attribution right is an attribution right attribute of the object; the system performs dimensionality quantification on the states of the supply-demand relations, and then combines the data structure expression mode to realize accurate supply-demand relations, wherein the supply-demand relations are actually corresponding relations of resource information, conditional reduction can be performed when actual operation is performed according to specific scenes, the multiple corresponding relations are converted into single-valued relations, the multiple corresponding relations are converted into single-valued one-to-one corresponding relations by mathematical definitions such as hall theorem, selection axiom and the like, and the corresponding relations of the resource information in the supply-demand relations are accurately quantified; the change of state jump generated by the balance and unbalance switching of the supply-demand relation can be expressed by a finite state machine; the system is provided with a relational database for storing data, so that the data can be stored in the relational database in an organized and associated way, a plurality of modes convenient for modeling are abstracted for the operation of the relational database, and then abstract relational database development module codes are developed for rapid development.
2. An information handling system based on semantic consistency according to claim 1, wherein: the artificial intelligence language is a LISP-like language.
3. An information handling system based on semantic consistency according to claim 1, wherein: the relational database is used for adding, deleting, modifying and inquiring data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710470821.5A CN109101277B (en) | 2017-06-20 | 2017-06-20 | Information processing system based on semantic consistency |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710470821.5A CN109101277B (en) | 2017-06-20 | 2017-06-20 | Information processing system based on semantic consistency |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109101277A CN109101277A (en) | 2018-12-28 |
| CN109101277B true CN109101277B (en) | 2024-04-19 |
Family
ID=64795763
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710470821.5A Active CN109101277B (en) | 2017-06-20 | 2017-06-20 | Information processing system based on semantic consistency |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109101277B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111949612B (en) * | 2020-07-31 | 2023-02-28 | 广西美立方工程咨询有限公司 | Unstructured data storage middleware system based on hadoop and use method thereof |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103577931A (en) * | 2013-10-28 | 2014-02-12 | 北京邮电大学 | Reusable-software-service management system based on semanteme and implementation method thereof |
| CN106407216A (en) * | 2015-07-31 | 2017-02-15 | 国网能源研究院 | Clue tracing audition system developed on basis of semantic net construction path and construction method of clue tracing audition system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080300856A1 (en) * | 2001-09-21 | 2008-12-04 | Talkflow Systems, Llc | System and method for structuring information |
-
2017
- 2017-06-20 CN CN201710470821.5A patent/CN109101277B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103577931A (en) * | 2013-10-28 | 2014-02-12 | 北京邮电大学 | Reusable-software-service management system based on semanteme and implementation method thereof |
| CN106407216A (en) * | 2015-07-31 | 2017-02-15 | 国网能源研究院 | Clue tracing audition system developed on basis of semantic net construction path and construction method of clue tracing audition system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109101277A (en) | 2018-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101617292B (en) | Producer graph oriented programming and execution | |
| US20230084389A1 (en) | System and method for providing bottom-up aggregation in a multidimensional database environment | |
| CN108509185B (en) | System and method for arbitrary software logic modeling | |
| CN101601012B (en) | Producer graph oriented programming framework with scenario support | |
| Dao et al. | A declarative framework for constrained clustering | |
| Froeschl | Metadata management in statistical information processing: a unified framework for metadata-based processing of statistical data aggregates | |
| US8666968B2 (en) | Executing runtime callback functions | |
| Kim et al. | Toward standardized exchange of plant 3D CAD models using ISO 15926 | |
| Abiteboul et al. | Research directions for principles of data management (dagstuhl perspectives workshop 16151) | |
| CN103744647A (en) | Java workflow development system and method based on workflow GPD | |
| Burgueño et al. | On the concurrent execution of model transformations with linda | |
| Messina et al. | Modelling and analysis of multistage stochastic programming problems: A software environment | |
| CN117009038B (en) | Graph computing platform based on cloud native technology | |
| CN109101277B (en) | Information processing system based on semantic consistency | |
| Soma et al. | A semantic framework for integrated asset management in smart oilfields | |
| Poulin | Integrated support for software reuse in computer-aided software engineering (CASE) | |
| CN103942235A (en) | Distributed computation system and method for large-scale data set cross comparison | |
| Burgueño et al. | LinTraP: Primitive Operators for the Execution of Model Transformations with LinTra. | |
| Korobko et al. | Constructing the analytical model for specialized model-driven system of scientific data consolidation | |
| Reddy et al. | Hierarchically Distributed Data Matrix Scheme for Modeling and Building Data Processing Applications | |
| Vaduva et al. | M4: a metamodel for data preprocessing | |
| Yahyaoui et al. | Agent-based co-modeling of information society and wealth distribution | |
| Karimi et al. | Asset-based system and software system development—A frame-based approach | |
| Sarje et al. | A MapReduce style framework for trees | |
| Sim et al. | Data configuration in an object oriented persistent programming environment for CAD |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |