NZ717720B2 - A computer implemented system and method for collating and presenting multi-format information - Google Patents

A computer implemented system and method for collating and presenting multi-format information Download PDF

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Publication number
NZ717720B2
NZ717720B2 NZ717720A NZ71772015A NZ717720B2 NZ 717720 B2 NZ717720 B2 NZ 717720B2 NZ 717720 A NZ717720 A NZ 717720A NZ 71772015 A NZ71772015 A NZ 71772015A NZ 717720 B2 NZ717720 B2 NZ 717720B2
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New Zealand
Prior art keywords
information
format
items
client
interest
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NZ717720A
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NZ717720A (en
Inventor
Bharat Chamanlal Bhardwaj
Falguni Jignesh Desai
Vishwas Mukund Pathak
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Vf Worldwide Holdings Ltd
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Application filed by Vf Worldwide Holdings Ltd filed Critical Vf Worldwide Holdings Ltd
Priority claimed from PCT/IB2015/054734 external-priority patent/WO2016001797A1/en
Publication of NZ717720A publication Critical patent/NZ717720A/en
Publication of NZ717720B2 publication Critical patent/NZ717720B2/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/178Techniques for file synchronisation in file systems
    • G06F16/1794Details of file format conversion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43Querying
    • G06F16/438Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management

Abstract

computer implemented system for collating and presenting multi-format information in a user- desired format is envisaged. The system stores information related to clients along with additional their personal information in a transient repository. These stored items of information are usually in different formats which are then converted by the system into a format desired by the user of the system or into a pre-defined format. An input module present in the system accepts form a user, a desired output information format type and a client identifier corresponding to the client whose information needs to be collated. Based on the client identifier, the system converts the stored client related information in the desired format and then collates and displays the converted information for further processing. fferent formats which are then converted by the system into a format desired by the user of the system or into a pre-defined format. An input module present in the system accepts form a user, a desired output information format type and a client identifier corresponding to the client whose information needs to be collated. Based on the client identifier, the system converts the stored client related information in the desired format and then collates and displays the converted information for further processing.

Description

A COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR COLLATING AND PRESENTING MULTI-FORMAT INFORMATION FIELD OF DISCLOSURE The present disclosure relates to fhe field of assembling and presenting information having different formats.
BACKGROUND A typical work environment comprises one or more computers containing muldple applications.
These applications tend to create and/or store documents/information in various file formats.
Convertors that are available today enable an application module to convert a file from. a foreign format into a format recognized by fhe application module. In recent years an end-user's desire of achieving a single view of data across applications has instigated the practice of content colladon. There are numerous applications which convert the applicant data view in the form of reports, but there is a requirement of an application which provides single view of applicant data across muldple systems, formats and locations.
Many convertors available today allow an application module to convert a file from a foreign format into a format recogmzed by the application module. la a case when the convertor is not able to recognize a foreign ffle format, the user is prompted to manually identify the format or terminate the process of conversion. Additionally, it can be difficult to convert certain foreign/native file formats because of their inherent design.
Also, if fhe end-user desires to convert files having different formats in one common format, it is mandatory to use multiple different conversion tools for each of fhe file formats that need conversion. Once such conversion is complete, additional efforts are required to gather all the converted files at a usei-desired location and only then can {he end-nser take further actions.
Therefore, in order to limit the drawbacks of the aforementioned time-consuming process of file format conversion and coflation of data, a need exists in fhe industry to provide a platform- agnostic system.
OBJECTS An object of fhe system of the present disclosure is to provide a system that collates information present in muldple formats.
Another object of the system of fhe present disclosure is to provide a system that converts and presents collated muld-format information in a format desired by user.
Still another object of the system of the present disclosure is to provide a system that obtains suitable format for an unknown mform.adon format.
Ofher objects and advantages of the present disclosure will be more apparent from. the following description when read in conjunction with fhe accompanying figures, which are not intended to limit the scope of the present disclosure.
SUMMARY The present disclosure relates to a computer implemented system for collating and presenting multi-format information. lu an embodiment, the system comprises a memoiy configured to store a set of rules, and a processor configured to cooperate with the memory to receive fhe set of rules and generate a set of commands based on the rules. The system further comprises a transient repository to store a plurality of items of muld-format infonnation, wherein each item of multi- format information is tagged wifh a client identifier. The system also comprises an input module to accept from a user, a client idendfier corresponding to a client and a desired output information format type. A crawler and extractor is present in the system to crawl through the transient repository, read the tags on the items of the muld-format information and extract all the items tagged with fhe received client identifier. The system comprises a convertor to convert the extracted items of the multi-fomiat information into the received desired output information format type. A collator present m the system fhen collates the converted items corresponding to fhe client idendfier based on fhe received set of commands to.obtain collated information related to fhe client and a display displays this collated information.
This summary is provided to introduce concepts related to collating and presenting muld-format information, whicli is furfher described below in the detailed description. This summary is PCT/ffi2015/054734 neither intended to identify all the essential features of (he present disclosure nor is it intended for use in determining or limiting the scope of the present disclosure.
BRIEF DESCRIPTION OF ACCOMPANYING DRAWINGS A computer implemented system and method for collating and presentmg multi-format information will now be described with the help of accompanying drawings, in which; FIGURE 1 illustrates schematic of an embodiment of the system. for collating and presenting multi-format infonnadon in a user-desired foimat; and FIGURE 2 illustrates a method for collatmg and presenting multi-fonnat information in a nser- desired format.
DETAILED DESCRIPTION The system of the present disclosure will now be described wifh reference to the embodiment shown in the accompanying drawing. TIie embodiment does not limit fhe scope and ambit of the disclosure. The description relates purely to the examples and preferred embodiments of fhe disclosed system and its suggested applications.
The system herein and the various features and advantageous details thereof are explained wifh reference to the non-Umitmg embodiments in the following description. Descriptions of well- ]mown parameters and processing techniques are omitted so as to not unnecessarily obscure <fhe embodiment herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiment hereia may be practiced and to further enable those of skUlin the art to practice the embodiment herein. Accordingly, fhe examples should not be construed as limiting the scope of the embodiment herein.
The system of the present disclosure stores personal information of clients along with additional related information in a transient repository. The stored items of information are usually in different formats which are fhen converted by the system into a format desired by a user of the system or into a pre-defined format. The converted information is then collectively displayed to the user for further processing.
Referring to the accompanying drawings, FIGURE 1 Ulustrates schematic of an embodiment of a system 100 for collating and presenting multi-format information in a user-desired formator into a pre-defmed format.
The system 100 envisaged by the present disclosure comprises a memory 102 which is configured to store a set of rules. The memory 102 is coupled to a processor 104 that uses the stored set of rules to generate a set of commands which are provided to modules present in the system 100 in order to collate and present multi-format information. The system 100 further comprises a transient repository 106 that stores multi-format information files/items related to clients, wherein clients refer to people whose information needs to be stored by Qie user for carrying out particular actions aud/or for farther processmg. The client information files stored in fhe transient repository 106 are tagged with a unique client identifier/ client ID that is pre- allotted to fhe clients. Additional information is stored in fhe transient repository 106 corresponding to a particular client identifier, fhis includes muldple items including information like client name, contact details, client identification photographs and other relevant documents and/or media files providing relevant client information. These items stored in fhe transient repository 106 are in different formats including but not limited to different image formats (for example JPEG, TIFF, PNG etc.), video formats (for example MPEG, 3GP, MOV etc.), PDF, DOC, XSL, HTML and the like. Different formats may also include items of information in different language formats. In one embodiment different formats include medical records like ECG, x-rays and fhe like. The system 100 may analyze such formats, convert them in readable formats and then store these items in the readable format in die transient repository 106.
The system 100 also comprises an input module 108 that allows a user to input a unique client identifier of a particular client whose details need to be collated in a single format for the ease of further processing. The input module 108 also accepts a desired output information format type from the user to determine a format in which the taformadon related to the client needs to be converted. A crawler and extractor 110 present in the system 100 receives &e client identifier from die input module 108 and crawls througli the transient repository 106 to read the tags on the items of fhe stored multi-foimat information and extract all the items tagged with the received client identifier. These extracted items are then passed on to a converter 112. The convertor 112 includes multiple conversion tools that allow conversion of fhe extracted items in eifher a user PCT/DB201S/054734 determined format or is. a pre-determined format. The converter 112 receives from the input module 108 the desired output information format type as given by the user and converts the extracted items of the multi-format information into the received desired output information format type. In an embodiment, the converter 112 idendfies the format of fhe extracted information and passes the information to correct conversion tools for conversion. For example, if the extracted information is a client photograpMmage in TIFF format and the required format is a PDF format, the convertor 112 after identifying TIFF format of fhe image, passes the image to a 'TIFF to PDP' conversion tool included in the convertor 112. If the convertor 112 is unable to idendfy format of the extracted information, the system 100 notifies the client and transmits a request to Qie client to provide fhe information m an accepted format. In one embodiment, if the client cannot provide information/documents in acceptable formats, the system 100 requests fhe client to provide identity of the information format. The system 100 then fetches a suitable conversion tool based on the information format or requests the user to provide a suitable conversion tool.
In an embodiment, the convertor 112 includes a translator (not shown in the figure) for translating fhe language of the related items of information into a desired language. It may happen that the clients provide relevant documents/information files which are in languages foreign to a pre-determiaed language set for the system 100. In such a scenario, fhe translator translates the language in these items of information to a suitable pre-determined language. In anofher embodiment, fhe fcranslator requests the user to provide a desired language ia which fhe infcamation needs to be translated. In another embodiment the convertor 112 converts medical reports like ECG, x-rays etc. into a readable format.
On identification of the formats and necessary translations, all the information is converted in a single format and language as desired by the user. The converted items are then provided to a collator 114 that collates flie converted items corresponding to fhe client identifier to obtain collated information related to the client and displays it on a display 116 for further processing.
The collated information may be considered to be incomplete if certam mandatory items of information or documents are absent. In one embodiment, fhe collatoi 114 includes a checker module 114a to check if the converted items comprise pre-determined mandatory information.
The checker module 114a alerts the user when mandatory information is missing. The user may then take suitable action.
In an embodiment, fhe system 100 includes a registration module 118 configured to register a plurality of clients and accept items of multi-format information from the clients to store in (he transient repository 106 on successful registration. As part of the registration process, the clients are required to specify their email ID along wifh a password. Post successful registration, a system, generated email is sent to fhe clients confirmiag their registration. Tlie items of mformation related to the registered clients are then tagged with the client identifiers and stored m the teansient repository 106. la an embodiment, fee system 100 also includes an intransient repository 120 which is configured to receive collated information &om the collator 114 and is configured to store this collated information tagged wifh corresponding client identifier. In one embodiment, the intransient rcpository 120 stores a plurality of pre-determiaed points of interest and corresponding thresholds for a plurality of items of muld-format information. This is stored in form of a table of points of interests for particular information type. The muld-format information can be any type of information having pre-detennined points of interest. The stored table includes threshold values for number of points of interest fhat must be present within particular items in order to authenticate the items. The points of interest are point features within the items which are essential in order to convert and collate the items. For example, for an image of a passport, the system 100 stores a predetermined threshold value of points of interest that must be present in any image of passport in fhe intransient repository 120.
In an embodiment, the system 100 includes an idend&er and counter 122 which receives fhe extracted items &om the crawler and extractor 110 and identifies points of interest within fliese items. The identifier and counter 122 then counts fliese identified points of interest to obtain interest counts corresponding to the items. The system 100 also includes an authenticator 124 to compare the obtained interest counts with the thresholds stored in the irrtransient repository 120 to obtain authenticated items. The aufheaticator 124 also cliecks for different points of interest, for example, if a photo on a passport is matching a stored photo, if stamps on certificates are authentic etc. The identifier and counter 122 then checks a received image of passport to determine interest count wifhin fhat image and the authenticator 124 cliecks if the points of interest within that image satisfy the set threshold. If the image has sufficient points of interest PCT/DB2015/OS4734 fhen it is authenticated. Considering another example, in a scenario where a photograph for a visa application is submitted to the system 100 by a client for coUation, fhere are certain guidelines and rules set by authorities of different countdes for such visa photographs which must be followed. In this case, the points of interest for such. documents/pliotograplis are based on the pre-defined guidelines/rules. For example, for a visa photograph, both the ears of a person in photograph must be clearly visible, so, fhe points of interest in case of such a document/information include clear visibility of bofli ears. If other points of interest and both ears are clearly identified from the photograph, fhe photograph is accepted for fiirtlier processing.
The aufhenticator 124 is configured to check sufficiency/aufhenticity of fhe provided iaformadoD/docum.ent. For example, if a certificate is provided by a client, the aufhendcator 124 performs certain checks. These checks include checldng if various points of interest are present in the provided information and if those points of interest are authentic. This includes checldng if a seal on the certificate is authentic, if the certificate has been signed by an aufhorized person and if the name of the client matches the name oa die certificate. It also checks for spelling mistakes.
If Ole name on the certificate does not match the client name, fhe system 100 checks if supporting documents/information is provided by client to support such discrepancy. These points of interest and rules can be pre-set or can be set by a user. In case the identified points of interest within a document/informadon are insufficient or not appropriate as per flie set rules, the system 100 sends a request to client or fhe informadon provider to rectify the document/mfonnadon. The authenticator 124 also includes a DNA aufhenticator 124a which is configured to authenticate items of muld-format information usiag DNA print matching techniques. For fhis, the system 100 collects DNA information of clients prior to colladon and then uses the DNA matching techniques to authenticate the items.
In one embodiment, die system 100 includes an editor 126 Aat cooperates wifh the inb-ansient repository 120 to edit fhe stored plurality of pre-determined thresliolds. This allows the user to decide the diresholds for particular items. The direshold values are configurable as fhe user may decide on the severity of the item to be aufcenticated. It may also be dependent on application of fhe system 100. The user may set different levels of threshold for different types of items.
In one embodiment, fhe system 100 allows biometdc enrolment, wherein a client's biometric details are stored in the system along with the related muld-format information. This biometnc enrohnent also includes a video recording feature to record client's video during the enrolment process for future authentication purposes, The system adheres to the data protection laws mandated by the governing bodies. Certain purging guidelines may be set up by fhe clients or the users or may be pre-set in the system 100.
These guidelines may differ from client to client. For example, some clients might want to retain their information for fewer days than the others. To achieve this, the system 100, in one embodiment, is configured to erase stored items of muld-format information from the transient repository 106 after a pre-determiaed duration. The system 100 is also configured to alert fhe user ta case of a failure in the erasure routine. The causes for failure can fhen be identified and fixed to ensure proper functioning of the system 100.
Figure 2 illustrates a method 200 for collating and presenting multi-format information in a user- desired format, according to an embodiment of the present disclosure. The method 200 includes steps of storing a set of rules and generating a set of commands based on fhe niles 202. It also includes storing a plurality of items of multi-fonnat information in a transient repository, wherein each item of muld-format information is tagged with a client identifier 204. The mefhod 200 further includes step of accepting from a user, a client identifier correspondmg to a client and a desired output information format type 206. Once the client identifier and desired output information format type is accepted, fhe method 200 includes step of crawling through the transient repository, reading the tags on the items of the multi-format information and extracting all the items tagged with the accepted client identifier based on the set of commands 208. After the step of extracting, the method 200 includes converting the extracted items of the muld-format information into the accepted desired output information format type based on the set of coimnands to obtain converted items 210, Collating the converted items corresponding to the client identifier based on fhe set of commands to obtain collated information related to the client 212 is also included in the method 200 which furtlier includes displaying the collated information based on the set of commands 214.
In one embodiment, the method 200 includes steps of registering a plurality of clients and accepting items of multi-format information from the clients to store in fhe transient repository on successful registration. The method 200 also includes storing in an intransient repository, the collated information tagged with conespondmg client identifier and storing a plurality of pre- determined thresholds for points of interest within a plurality of items of multi-format information. Further, the mefbiod 100 includes identifying points of interest within the extracted items and counting the identified points of interest within the items to obtain interest counts corresponding to the items, comparing the stored thresholds from the intransient repository with the obtained interest counts within the extracted items to authenticate the items and editing the stored plurality of pre-determmed thresholds. Furfher, steps of erasing stored items of multi- format information from fhe transient repository after a pre-determined duration, and checldng that the converted items comprise pre-determined mandatory information and alertmg the user when mandatory information is missing are also included. Tlie mefhod 200 also includes aufhendcating items ofmulti-format information using DNA print matching techniques.
TECHNICAL ADVANCEMENTS A computer implemented system and method for collating multi-format information in accordance wifh the present disclosure described herein above has several techmcal advancements including but not limited to the realization of: • a system that collates information present in multiple format; • a system that collates information present in different locations remotely spaced apart from each other; • a system that converts and presents collated multi-format information in a format desired by user; and • a system that obtains suitable format for an unknown information format with the help of a user.
The foregoing description of the specific embodiments wffl so fuUy reveal fhe general nature of fhe embodiments herein fhat others can, by applying current knowledge, readily modify and/or adapt for various applications such. specific embodiments without departing from the generic concept, and, fherefore, such adaptations and modifications should and are intended to be comprehended within the meamng and range of equivalents of the disclosed embodiments. It is to be understood fhat the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art wUl recognize that the embodiments PCT/IB201S/054734 herein can be practiced wifli modification within the spirit and scope of the embodiments as described herein.

Claims (20)

CLAIMS 1.:
1. A computer implemented system for collating and presenting multi-format information, said multi-format information including information in text format, image format and video format, said system comprising: a memory configured to store a set of rules; a processor configured to cooperate with the memory to receive the set of rules and generate a set of commands based on said rules; a transient repository coupled to the processor and configured to store a plurality of items of multi-format information, wherein each item of multi-format information is tagged with a client identifier; an input module coupled to the processor and configured to accept from a user, a client identifier corresponding to a client and a desired output information format type; a crawler and extractor coupled to the processor to receive the set of commands and configured to cooperate with the input module to receive the client identifier, said crawler and extractor further configured to crawl through the transient repository, read the tags on the items of the multi- format information and extract all the items tagged with the received client identifier; an intransient repository configured to store a table containing a plurality of pre-determined points of interest within a plurality of items of multi-format information and corresponding thresholds, and further configured to store the collated information tagged with corresponding client identifier; an identifier and counter coupled to the processor to receive the set of commands and configured to cooperate with the crawler and extractor to receive the extracted items and identify points of interest within the received extracted items, said identifier and counter further configured to count identified points of interest within said items to obtain interest counts corresponding to said items; an authenticator coupled to the processor to receive the set of commands and configured to cooperate with the crawler and extractor to receive the extracted items, the intransient repository to receive the stored points of interest and thresholds corresponding to the extracted items, and the identifier and counter to receive the identified points of interest and interest counts corresponding to said items, said authenticator further configured to compare the stored points of interest and thresholds with the received points of interest and interest counts within the extracted items and to check if the received points of interest satisfy the thresholds to authenticate the items; a converter coupled to the processor to receive the set of commands and configured to cooperate with the input module to receive the desired output information format type, said convertor further configured to cooperate with the crawler and extractor to receive the extracted items, and convert the extracted items of the multi-format information into the received desired output information format type based on said received set of commands to obtain converted items; a collator coupled to the processor to receive the set of commands and configured to cooperate with the convertor to receive the converted items, said collator further configured to collate the converted items corresponding to said client identifier based on said received set of commands to obtain collated information related to said client; and a display coupled to the processor to receive the set of commands and configured to cooperate with the collator to receive the collated information related to the client, said display further configured to display said collated information based on said received set of commands.
2. The system as claimed in claim 1, wherein said system comprises a registration module configured to register a plurality of clients and accept items of multi-format information from the clients to store in the transient repository on successful registration.
3. The system as claimed in claim 1, wherein said system is configured to check format of information provided by a client and is further configured to request the client to provide information in acceptable format if the format of provided information is not suitable.
4. The system as claimed in claim 1, wherein said system is configured to request a client to identify format of provided information and is further configured to import or accept a suitable conversion tool to convert the provided information.
5. The system as claimed in claim 1, wherein said system is configured to authenticate provided information and further configured to request a client to provide rectified information if the information provided by the client in unsuitable.
6. The system as claimed in claim 1, wherein said system is configured to check if information provided by a client is suitable, and is further configured to check if supporting documents are provided by the client to support unsuitable information.
7. The system as claimed in claim 1, wherein said system comprises an editor configured to cooperate with the intransient repository to edit the stored plurality of pre-determined thresholds.
8. The system as claimed in claim 1, wherein said system is configured to erase stored items ofmulti-format information from the transient repository after a pre-determined duration.
9. The system as claimed in claim 1, wherein said collator includes a checker module configured to check that the converted items comprise pre-determined mandatory information, said checker module is further configured to alert the user when mandatory information is missing.
10. The system as claimed in claim 1 wherein said authenticator includes a DNA authenticator configured to authenticate items of multi-format information using DNA print matching techniques.
11. A computer implemented method for collating and presenting multi-format information, said multi-format information including information in text format, image format and video format said method comprising the following: storing a set of rules and generating a set of commands based on said rules; storing a plurality of items of multi-format information in a transient repository, wherein each item of multi-format information is tagged with a client identifier; accepting from a user, a client identifier corresponding to a client and a desired output information format type; crawling through the transient repository, reading the tags on the items of the multi-format information and extracting all the items tagged with the accepted client identifier based on said set of commands to obtain extracted items; storing an intransient repository, the collated information tagged with corresponding client identifier and storing a table containing a plurality of pre-determined points of interest within a plurality of items of multi- format information and corresponding thresholds; identifying points of interest within said extracted items and counting the identified points of interest within said items to obtain interest counts corresponding to said items; authenticating the items by comparing the stored points of interest and thresholds from the intransient repository with the identified points of interest and interest counts within the extracted items and checking if the identified points of interest satisfy the thresholds; converting the extracted items of the multi-format information into the accepted desired output information format type based on said set of commands to obtain converted items; collating the converted items corresponding to said client identifier based on said set of commands to obtain collated information related to said client; and displaying said collated information based on said set of commands.
12. The method as claimed in claim 11, wherein said method includes registering a plurality of clients and accepting items of multi-format information from the clients to store in the transient repository on successful registration.
13. The method as claimed in claim 1 1, wherein said method includes checking forms of information provided by a client and requesting the client to provide information in acceptable format if the format of provided information is not suitable.
14. The method as claimed in claim 11, wherein said method includes requesting a client to identify format of provided information and importing or accepting a suitable conversion tool to convert the provided information.
15. The method as claimed in claim 11, wherein said method includes authenticating provided information and further requesting a client to provide rectified information if the information provided by the client in unsuitable.
16. The method as claimed in claim 1 1, wherein said method includes checking if information provided by a client is suitable, and further checking if supporting documents are provided by the client to support unsuitable information.
17. The method as claimed in claim 11, wherein said method includes editing the stored plurality of pre-determined thresholds.
18. The method as claimed in claim 11, wherein said method includes erasing stored items of multi-format information from the transient repository after a pre- determined duration.
19. The method as claimed in claim 1 1, wherein said method includes checking that the converted items comprise pre-determined mandatory information and alerting the user when mandatory information is missing.
20. The method as claimed in claim 11, wherein said step of authenticating items includes authenticating items of multi-format information using DNA print matching techniques. PCT/D3201S/054734
NZ717720A 2014-07-01 2015-06-24 A computer implemented system and method for collating and presenting multi-format information NZ717720B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
IN2128/MUM/2014 2014-07-01
IN2128MU2014 2014-07-01
PCT/IB2015/054734 WO2016001797A1 (en) 2014-07-01 2015-06-24 A computer implemented system and method for collating and presenting multi-format information

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Publication Number Publication Date
NZ717720A NZ717720A (en) 2020-10-30
NZ717720B2 true NZ717720B2 (en) 2021-02-02

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