阅读说明：本技术 文书智能排版方法及系统 (Intelligent document typesetting method and system ) 是由 陈浩 于 2021-07-29 设计创作，主要内容包括：本发明是一种针对国家公文和各类法律文书的智能排版技术,主要针对国家公文、公安文书、检察文书、法院文书、司法行政文书、各类执法文书、仲裁文书、公证文书、鉴定文书、合同类文本,根据文书多对应的业务类型的内容特征、书写规范、文书半结构化特征,设计了一种文书结构的信息模型,提出了一种识别文书类型的分类方法、一种解析文书结构和要素的的方法和一种基于文书类型、文书要素和文书版式进行自动排版的方法,最终实现对一个文书按照特定版式自动排版的功效,使得计算机系统能够在文书制作中辅助排版,以解决现有技术排版过程中需要较多人工参与,效率低以及排版软件较难操作的问题。(The invention relates to an intelligent typesetting technology aiming at national official documents and various legal documents, which mainly aims at national official documents, public security documents, inspection documents, court documents, judicial administration documents, various law enforcement documents, arbitration documents, notarization documents, identification documents and contract documents, designs an information model of a document structure according to the content characteristics, writing specifications and semi-structured characteristics of the documents of multiple corresponding business types, provides a classification method for identifying the document type, a method for analyzing the document structure and elements and a method for automatically typesetting based on the document type, the document elements and the document format, finally realizes the effect of automatically typesetting a document according to a specific format, ensures that a computer system can assist in typesetting in the document making process so as to solve the problem that more manual work is needed in the typesetting process of the prior art, low efficiency and difficult operation of typesetting software.)

1. An intelligent document typesetting method is characterized by comprising the following steps:

designing a set of xml information model aiming at each type of document according to the writing specification, text structure and content characteristics of each type of document and starting from the subsequent typesetting requirement;

according to the typesetting specification of each type of document, combining the xml information model of the document to define a set of typesetting style models;

according to the writing specifications, text structures and content characteristics of different types of documents, a set of classification algorithm for identifying the document types is designed to realize automatic classification of each document example;

according to the writing specifications, text structures and content characteristics of different types of documents, by combining the xml information model of the documents, by adopting a method based on the mixing of rules and deep learning, the full text of the documents is segmented and sliced and local element extraction is carried out, and an example xml is formed according to the xml information model of the documents;

and calling a corresponding typesetting calculation model and a corresponding typesetting style model according to the typesetting specification of the current document, automatically typesetting the xml of the current document example, and outputting a word or wps document.

2. The intelligent typesetting method for documents according to claim 1, wherein a set of xml information model for each type of documents is designed based on the writing specification, text structure and content characteristics of each type of documents and based on the subsequent typesetting requirements, comprising:

summarizing the writing specification and the text structure of each type of document text, and dividing each paragraph of the text into a multi-level text sheet according to a logical relationship;

based on the section service characteristics, the typesetting specifications and the semantic characteristics of each type of document text, the sections of each level comprise section attributes and section contents, context sequences are defined among the sections of the same level, and the information elements required to be contained are designed based on the requirements of the subsequent typesetting specifications;

the document slice information model is designed to store the slices and elements of each level of the document text.

3. The intelligent typesetting method for documents according to claim 1, wherein a set of typesetting style models is defined according to the typesetting specification of each type of documents and by combining an xml information model of the type of documents, and the method comprises the following steps:

and summarizing the information of the elements in the document, and designing a set of xml information models stored aiming at each part style.

4. The intelligent typesetting method for documents according to claim 3, wherein the xml information model comprises: font setting and paragraph setting, wherein the font setting is used for storing styles, fonts, word sizes, styles, word sizes, colors, character intervals and character intervals, and the paragraph setting is used for storing styles, including types of font, left-right indentation, line spacing and first line indentation.

5. The intelligent typesetting method for documents according to claim 1, wherein a set of classification algorithm for identifying document types is designed according to the writing specifications, text structures and content characteristics of different documents, so as to realize automatic classification of each document instance, and the method comprises the following steps:

based on the document analysis structured data and text structure, content characteristics and the like, automatically classifying the document, and identifying and judging the document type through single or multiple structured information fields;

designing a document style template, and classifying according to different types;

different style files are set according to the classification, so that different documents are matched with different typesetting styles.

6. The intelligent typesetting method for documents according to claim 1, wherein according to the writing specifications, text structures and content features of different types of documents, by combining the xml information model of such documents, a method based on the mixture of rules and deep learning is adopted to perform segmentation slicing and local element extraction on the full text of the documents, and an example xml is formed according to the xml information model of the documents, comprising:

identifying the document content according to the document format type, and performing the next analysis and calculation after reading the content;

after the document content is combined for processing, the unstructured document is extracted and identified into a structured information document structure body by adopting a rule and deep learning-based mixing method and an analysis and structuring technology, so that the paragraph elements of the document are identified and the local special fields are extracted, and the structured document model is output.

7. The intelligent typesetting method for the document according to claim 1, wherein the corresponding typesetting calculation model and typesetting style model are invoked according to the typesetting specification of the current document, and the xml of the current document instance is automatically typeset, and a word or wps document is output, comprising:

aiming at the structured document information body, forming a typesetting standard file according to the processing of classification, style models and the like, wherein the documents and the official documents in the court industry have special typesetting style processing;

the method has the advantages that the documents, the judging personnel, the judging date and the bookmarker in the court industry cannot be displayed in a page-crossing manner, and the document text segment spacing, the line spacing, the page margin spacing and the like are automatically finely adjusted, so that the problem of non-page-crossing display is solved;

the official document, the person of issuing realizes issuing the characters and number and person of issuing right and left to it on the right side of the letter number of issuing, adopt the cell to split, divide and display the element, and display right and left to it, to the person of issuing and person of issuing name typeface is inconsistent, realize the person of issuing name and person of issuing field different typeface style adjustment, longer characters in the title, realize the rhombus is arranged, thus realize the automatic typesetting effect;

and after the style of each part is refreshed, forming a new document format, and outputting word or wps documents.

8. An intelligent document typesetting system, comprising:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the intelligent typesetting method for documents according to any one of claims 1-7.

Technical Field

The invention relates to the technical field of legal knowledge engineering, in particular to a method and a system for intelligently typesetting a document.

Background

National official documents and various legal documents have strict format regulations for guaranteeing the seriousness of the official documents and the legal documents. National documents and various types of legal documents are typically represented in unstructured natural language documents. In order to strictly meet the requirements of the format, manual typesetting is time-consuming and labor-consuming, and particularly for documents in special situations, the manual typesetting is difficult to observe and control by naked eyes sometimes. Therefore, the adoption of the computer technology to identify the content and the structure of the document and automatically typeset according to the typesetting standard under the corresponding document type is a key technology for solving the problem that the typesetting work of national official documents and various legal documents is performed in an informationized scene. The closest similar technology and the defects thereof are as follows:

1. legal document automatic typesetting method and device (application/patent number: CN 201910769647.3): the core method comprises the following steps: generating a legal document through template type information filling; configuring a brush format XML file by taking the format requirement of a user on the document as a standard and taking a pre-designed brush format model as a reference; the program analyzes the legal document Word file into a Word model, sets a structure bookmark and a paragraph bookmark for each paragraph according to the distribution of the structure bookmark and the content mark bookmark in the Word, and then loads a brush format configuration to set the format. The method and the device for automatically typesetting legal documents disclosed by the embodiment of the invention support the configuration of document formats in an XML form, have strong expansibility, support the format configuration of court levels, flexibly meet the requirements of different formats of document regions, support the format setting commonly used by Word, automatically typeset the legal documents based on the format brushing configuration, flexibly meet the special format requirements of different regions of the same document, and finally generate the format documents required by different courts. .

2. A document file typesetting method and device (application number/patent number: CN 200910090195.2): the core method comprises the steps that the typesetting device analyzes and obtains corresponding document rule subfiles, document style subfiles and document element style subfiles according to a document template file input by a user; analyzing and obtaining each element content in the text file according to the text file imported by the user; matching each element content with the element attributes in the document element style subfile, transmitting the successfully matched element content to the display object corresponding to the element attributes, and typesetting the element content in the display object according to the style in the document style subfile and the rules in the document rule subfile adopted by the display object. According to the scheme provided by the invention, the element contents in the display object are typeset according to the rules and the patterns adopted by the display object, so that the typesetting efficiency is improved.

3. An automatic typesetting method and system for referee documents (application number/patent number: CN 202110100574.6): acquiring a document template; analyzing the document template to obtain document rules, document styles and document elements; acquiring a document file text to be typeset; analyzing the document file text to be typeset to obtain elements and element contents in the document file text to be typeset; matching the document elements in the document template with the elements in the document file text to be typeset; and typesetting the matched elements based on the document rule and the document style. The method can reduce the artificial residues and improve the typesetting efficiency.

The three patents have the following defects: (1) aiming at the same document type, the distribution and control of different formats are realized without utilizing the characteristic difference of document content elements; (2) layout page numbers based on context parameters are absent from intelligent calculation and control on the layout of the local elements; (3) document element identification does not clearly adopt an algorithm scheme, and the index level of actual typesetting is difficult to evaluate.

Disclosure of Invention

The invention aims to solve the technical problems that more manual work is needed in the typesetting process, the efficiency is low and the typesetting software is difficult to operate in the prior art.

In order to solve the technical problem, the invention provides an intelligent document typesetting method, which comprises the following steps: designing a set of xml information model aiming at each type of document according to the writing specification, text structure and content characteristics of each type of document and starting from the subsequent typesetting requirement; according to the typesetting specification of each type of document, combining the xml information model of the document to define a set of typesetting style models; according to the writing specifications, text structures and content characteristics of different types of documents, a set of classification algorithm for identifying the document types is designed to realize automatic classification of each document example; according to the writing specifications, text structures and content characteristics of different types of documents, by combining the xml information model of the documents, by adopting a method based on the mixing of rules and deep learning, the full text of the documents is segmented and sliced and local element extraction is carried out, and an example xml is formed according to the xml information model of the documents; and calling a corresponding typesetting calculation model and a corresponding typesetting style model according to the typesetting specification of the current document, automatically typesetting the xml of the current document example, and outputting a word or wps document.

In some embodiments, based on the writing specification, the text structure and the content characteristics of each type of document, and starting from the subsequent typesetting requirement, a set of xml information models for each type of document is designed, which includes: summarizing the writing specification and the text structure of each type of document text, and dividing each paragraph of the text into a multi-level text sheet according to a logical relationship; based on the section service characteristics, the typesetting specifications and the semantic characteristics of each type of document text, the sections of each level comprise section attributes and section contents, context sequences are defined among the sections of the same level, and the information elements required to be contained are designed based on the requirements of the subsequent typesetting specifications; the document slice information model is designed to store the slices and elements of each level of the document text.

In some embodiments, according to the layout specification of each type of document, in combination with the xml information model of such document, a set of layout style models is defined, including: and summarizing the information of the elements in the document, and designing a set of xml information models stored aiming at each part style.

In some embodiments, the xml information model comprises: font setting and paragraph setting, wherein the font setting is used for storing styles, fonts, word sizes, styles, word sizes, colors, character intervals and character intervals, and the paragraph setting is used for storing styles, including types of font, left-right indentation, line spacing and first line indentation.

In some embodiments, a set of classification algorithms for identifying the document types is designed according to the writing specifications, the text structures and the content characteristics of different documents, so as to realize automatic classification of each document instance, and the classification algorithms comprise: based on the document analysis structured data and text structure, content characteristics and the like, automatically classifying the document, and identifying and judging the document type through single or multiple structured information fields; designing a document style template, and classifying according to different types; different style files are set according to the classification, so that different documents are matched with different typesetting styles.

In some embodiments, according to writing specifications, text structures and content features of different types of documents, by combining with an xml information model of such documents, a method based on a rule and deep learning mixture is adopted to perform segmentation slicing and local element extraction on the whole document, and an example xml is formed according to the xml information model of the document, including: identifying the document content according to the document format type, and performing the next analysis and calculation after reading the content; after the document content is combined for processing, the unstructured document is extracted and identified into a structured information document structure body by adopting a rule and deep learning-based mixing method and an analysis and structuring technology, so that the paragraph elements of the document are identified and the local special fields are extracted, and the structured document model is output.

In some embodiments, according to the typesetting specification of the current document, calling a corresponding typesetting calculation model and a corresponding typesetting style model, automatically typesetting the xml of the current document instance, and outputting a word or wps document, including: aiming at the structured document information body, forming a typesetting standard file according to the processing of classification, style models and the like, wherein the documents and the official documents in the court industry have special typesetting style processing; the method has the advantages that the documents, the judging personnel, the judging date and the bookmarker in the court industry cannot be displayed in a page-crossing manner, and the document text segment spacing, the line spacing, the page margin spacing and the like are automatically finely adjusted, so that the problem of non-page-crossing display is solved; the official document, the person of issuing realizes issuing the characters and number and person of issuing right and left to it on the right side of the letter number of issuing, adopt the cell to split, divide and display the element, and display right and left to it, to the person of issuing and person of issuing name typeface is inconsistent, realize the person of issuing name and person of issuing field different typeface style adjustment, longer characters in the title, realize the rhombus is arranged, thus realize the automatic typesetting effect; and after the style of each part is refreshed, forming a new document format, and outputting word or wps documents.

In addition, the invention also provides a document intelligent typesetting method, and the system comprises: one or more processors; storage means for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement the intelligent composition method for documents according to the preceding paragraphs.

After adopting such design, the invention has at least the following advantages:

the invention relates to an intelligent typesetting technology aiming at national official documents and various legal documents, which mainly aims at national official documents, public security documents, inspection documents, court documents, judicial administration documents, various law enforcement documents, arbitration documents, notarization documents, identification documents and contract documents, designs an information model of a document structure according to the content characteristics, writing specifications and semi-structured characteristics of the documents of multiple corresponding business types, provides a classification method for identifying the document type, a method for analyzing the document structure and elements and a method for automatically typesetting based on the document type, the document elements and the document format, finally realizes the effect of automatically typesetting a document according to a specific format, ensures that a computer system can assist in typesetting in the document making process so as to solve the problem that more manual work is needed in the typesetting process of the prior art, low efficiency and difficult operation of typesetting software.

Drawings

The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.

FIG. 1 is a schematic flow diagram of a method;

FIG. 2 is a schematic diagram of an xml information model;

FIG. 3 is a schematic flow chart of document type determination;

FIG. 4 is a schematic illustration of legal instrument classification information;

FIG. 5 is a schematic illustration of document classification information;

FIG. 6 is a schematic flow diagram of a structured document model.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

The invention relates to an intelligent typesetting technology aiming at national official documents and various legal documents, which mainly aims at national official documents, public security documents, inspection documents, court documents, judicial administration documents, various law enforcement documents, arbitration documents, notarization documents, identification documents and contract documents, designs an information model of a document structure according to the content characteristics, writing specifications and semi-structured characteristics of the documents of multiple corresponding business types, provides a classification method for identifying the document type, a method for analyzing the document structure and elements and a method for automatically typesetting based on the document type, the document elements and the document format, finally realizes the effect of automatically typesetting a document according to a specific format, ensures that a computer system can assist in typesetting in the document making process so as to solve the problem that more manual work is needed in the typesetting process of the prior art, low efficiency and difficult operation of typesetting software.

The invention comprises the following steps:

designing a set of xml information model aiming at each type of document according to the writing specification, text structure and content characteristics of each type of document and starting from the subsequent typesetting requirement;

step (2) according to the typesetting specification of each type of document, combining the xml information model of the type of document to define a set of typesetting style model;

step 3, designing a set of classification algorithm for identifying the document types according to the writing specifications, the text structures and the content characteristics of different documents to realize automatic classification of each document example;

step (4) according to the writing specifications, text structures and content characteristics of different types of documents, combining the xml information model of the documents, adopting a method based on the mixture of rules and deep learning to perform segmentation slicing and local element extraction on the full text of the documents, and forming an example xml according to the xml information model of the documents;

step 5, calling a corresponding typesetting calculation model and a corresponding typesetting style model according to the typesetting specification of the current document, automatically typesetting the xml of the current document example, and outputting a word or wps document;

see fig. 1 for a general flow chart.

Designing a set of xml information model aiming at each type of document according to the writing specification, text structure and content characteristics of each type of document and starting from the subsequent typesetting requirement;

various document texts are usually written by WORD or WPS software, and the texts are segmented clearly and are written normally and have obvious structures. The patent adopts a method for structuring the document text from coarse to fine, cuts the text into a plurality of text pieces according to the writing specification, the text structure and the content characteristics of various document texts, and designs a document slice model for storing each logic paragraph. The method comprises the following specific steps:

step (1.1) summarizing writing specifications and text structures of texts of each type of documents, dividing each paragraph of the text into multi-level text pieces according to a logical relationship, for example, analyzing a first-level text piece of a rule text, wherein the multi-level text piece comprises a rule head part, a rule body part and a rule tail part, the rule head part comprises a second-level text piece, namely a release command, a release text number, release content, a release organization and personnel, release date and the like; the 'rule body' comprises a plurality of sub-level text fragments, the sub-level fragments of the 'rule title', 'catalog', 'clause content', and the sub-level fragments of the 'clause content' are gradually progressed by 'chapter', 'section', 'strip', 'style', 'item'.

And (1.2) based on the section service characteristics, the typesetting specifications and the semantic characteristics of each type of document text, the sections of each level comprise section attributes and section contents, the context sequence is defined among the sections of the same level, and the information elements required to be contained are designed based on the requirements of the subsequent typesetting specifications.

And (1.3) designing a document slice information model for storing each level slice and elements of the document text. According to the fine slices contained in each hierarchical slice and the basic attribute and text content of each slice, each hierarchical slice names the text slices with the corresponding basic attribute, such as 'rule body', 'clause content' and 'strip', and stores the basic attribute and the text content in each hierarchical slice, the basic attribute is stored in a short character string with a limited range expression form, the text content is stored in a long character string, and the whole slice model is stored in a tree structure.

Step (2) designing a set of typesetting style models according to the typesetting specification of each type of documents and aiming at the xml information model of each type of documents; the method comprises the following specific steps:

and (2.1) summarizing information of elements in the document, and designing a set of xml information models stored aiming at each part of styles, such as storage styles, fonts, word sizes, styles, word sizes, colors, character intervals and the like in font setting, storage styles in paragraph setting, modes, left and right indentation types, line spacing, first line indentation types and the like.

See FIG. 2 for the principle of the xml information model.

Step 3, designing a set of classification algorithm for identifying the document types according to the writing specifications, the text structures and the content characteristics of different documents to realize automatic classification of each document example; the method comprises the following specific steps:

and (3.1) automatically classifying the document based on document analysis structured data, text structures, content characteristics and the like, and identifying and judging the type of the document through combination of single or multiple structured information fields, as shown in figure 3.

Step (3.2) design the document style template, and classifying according to different types, for example: the criminal first examination, the criminal second examination, the criminal review and the like are classified into one type, and the civil first examination, the civil second examination and the like are classified into two types; different style files are set according to the classification, so that different documents are matched with different typesetting styles.

Legal instrument classification information is shown in fig. 4.

The document classification information is shown in fig. 5.

Step (4) according to the writing specifications, text structures and content characteristics of different types of documents, combining the xml information model of the documents, adopting a method based on the mixture of rules and deep learning to perform segmentation slicing and local element extraction on the full text of the documents, and forming an example xml according to the xml information model of the documents; the method comprises the following specific steps:

step (4.1) identifies the document content according to the document format type, for example: txt, doc, docx, rtf, wps and other format files are analyzed and calculated in the next step after the contents are read;

step (4.2) after the document content is processed, adopting a mixed method and an analysis structuring technology based on rules and deep learning to extract and identify the unstructured document as a structured information document structure body, thereby achieving the identification of paragraph elements of the document and the extraction of local special fields; thereby outputting a structured document model as shown in fig. 6.

Step 5, calling a corresponding typesetting calculation model and a corresponding typesetting style model according to the typesetting specification of the current document, automatically typesetting the xml of the current document example, and outputting a word or wps document; the method comprises the following specific steps:

step (5.1) aiming at the structured information body of the document, forming a typesetting standard file according to the processing of classification, style models and the like; the court industry documents and official documents have special typesetting style processing;

step (5.2) the court industry documents, judging personnel, judging dates and bookmarkers can not be displayed in a page-crossing manner, and the document text segment spacing, the line spacing, the margin spacing and the like can be automatically finely adjusted, so that the problem of non-page-crossing display is solved;

in the judge personnel paragraph, the blank proportion between the judge identity paragraph and the name of the person, the name of the person to the judge identity paragraph and the like are automatically calculated and adjusted by a fixed width, so that the judge identity is aligned up and down and the name of the person is aligned up and down;

step (5.3) the official document, the issuer realizes the left and right alignment of the issuer and the issuer on the right side of the issuer, the unit cell is split, the elements are divided and displayed, the left and right alignment of the elements is displayed, and the adjustment of different font styles of the issuer name and the issuer field is realized aiming at the inconsistency of the name fonts of the issuer and the issuer; the rhombus arrangement is realized for the longer characters in the title, so that the automatic typesetting effect is realized;

and (5.4) forming a new document format after the style of each part is refreshed, thereby outputting word or wps documents.

Exemplary processing circuitry for client, server, and cloud-based processing system resources for implementing the algorithms and methods of execution are described below. The distributed processing system may include multiple instances of circuitry that may be used to implement any of the processing circuits to perform the algorithms represented by the flow diagrams shown in fig. 1, 3, 6. Not all components need be used in various embodiments. For example, each of the client, server, and network resources of the distributed processing system may use a different set of components, in the case of a graphics database server, a larger storage device may be used, for example.

An exemplary processing system in the form of a computer may include a processing unit, a memory, a removable storage device, and a non-removable storage device, all coupled to a bus. A processing unit may include one or more single-core or multi-core processing devices. Although the exemplary processing system is described as a computer, the processing system may take different forms in different embodiments. For example, the processing system of the user device may also be a laptop, a tablet, or another processing device that includes the same or similar elements. Devices such as notebook computers, tablet computers, and the like may be collectively referred to as mobile devices or user devices. Further, although the various data storage elements are described as part of a computer, the storage devices may or may alternatively comprise network-connected (e.g., cloud-based) storage devices accessible over a network (e.g., a Local Area Network (LAN), a Personal Area Network (PAN), a Wide Area Network (WAN), such as the internet), or local server-based storage devices.

The memory may include volatile memory and non-volatile memory. The computer may include or have access to a processing environment that includes a variety of computer-readable media, such as volatile memory, non-volatile memory, removable storage, and non-removable storage. Computer memory includes Random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), and electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CDROM), Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium capable of storing computer-readable instructions.

The computer may include or have access to a processing environment that includes an input interface, an output interface, and a communication connection or interface, where the input interface, output interface, and communication connection or interface are connected to a bus as shown. The output interface may include a display device, such as a touch screen or computer display, and may also serve as an input device coupled to the input interface. The input interface may include one or more of a touch screen, a touch pad, a mouse, a keyboard, a camera, one or more device-specific buttons, one or more sensors integrated within or coupled to the computer via a wired or wireless data connection, other input devices, and the like. The computer may operate in a networked environment using a communication connection to one or more remote computers, such as mainframes, servers, and/or database servers, which may be used to implement a network connectivity service. The user equipment may include a Personal Computer (PC), a server, a router, a network PC, a peer device or other common network node, etc. The communication connection may include a Local Area Network (LAN), Wide Area Network (WAN), cellular network, Wi-Fi network, bluetooth network, the internet, or other network.

Computer readable instructions stored in a computer readable medium are executable by a processing unit of a computer. Hard disk drives CD-ROM and RAM are some examples of articles including non-transitory computer readable media (e.g., magnetic, optical, flash, and solid state storage media). The term "computer-readable medium" and "storage device" do not include a carrier wave because the carrier wave is too transitory. For example, the processing unit may be caused to perform one or more of the methods or algorithms described herein by one or more application programs.

It should be understood that software may be installed in and sold with one or more processors of the user device and/or the network connection service. Alternatively, the software may be obtained through a physical medium or distributed system, for example, from a server owned by the software author or from a server not owned by the software author but made available to the software author, and loaded into the user device and/or the network connection service. For example, the software may be stored on a server for distribution over the internet.

The functions or algorithms described herein may be implemented in software in embodiments. The software may include computer-executable instructions stored on a computer-readable medium or computer-readable storage device, such as one or more physical storage devices or other types of hardware-based storage devices, local or network. Further, these functions correspond to modules, which may be software, hardware, firmware, or any combination thereof. Various functions may be performed in one or more modules as desired, and the described embodiments are merely exemplary. The software may be executed on a processing system such as a digital signal processor, an application-specific integrated circuit (ASIC), a microprocessor, a mainframe processor, or other type of processor running on a computer system (e.g., a personal computer server or other processing system), to thereby turn such processing system into a specifically programmed machine.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention in any way, and it will be apparent to those skilled in the art that the above description of the present invention can be applied to various modifications, equivalent variations or modifications without departing from the spirit and scope of the present invention.