WO2012008655A1 - Dispositif et procédé de navigation dans document ayant un seuil dynamique - Google Patents

Dispositif et procédé de navigation dans document ayant un seuil dynamique Download PDF

Info

Publication number
WO2012008655A1
WO2012008655A1 PCT/KR2010/006426 KR2010006426W WO2012008655A1 WO 2012008655 A1 WO2012008655 A1 WO 2012008655A1 KR 2010006426 W KR2010006426 W KR 2010006426W WO 2012008655 A1 WO2012008655 A1 WO 2012008655A1
Authority
WO
WIPO (PCT)
Prior art keywords
document
documents
similarity
threshold
browsing
Prior art date
Application number
PCT/KR2010/006426
Other languages
English (en)
Korean (ko)
Inventor
정한민
김평
이승우
이미경
서동민
성원경
Original Assignee
한국과학기술정보연구원
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 한국과학기술정보연구원 filed Critical 한국과학기술정보연구원
Publication of WO2012008655A1 publication Critical patent/WO2012008655A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34—Browsing; Visualisation therefor

Definitions

  • the present invention relates to a document browsing apparatus and method to which a dynamic threshold is applied to search for a document having a similarity or higher than a threshold set for a reference document and to generate a similarity between the retrieved documents in a browsing connection configuration.
  • the document search or information search is for searching a document or information desired by a user for a large amount of information.
  • the keyword is processed for the input natural language text, weighted for each keyword, and then searched.
  • search engines are provided to search a large amount of information on the Internet.
  • a search engine When a keyword is entered in a search engine, a search for a document corresponding to the keyword is displayed on the user's web browser screen.
  • the general search engine may search for a document having a similarity or more than a predetermined threshold, but there is a problem in that the degree of similarity or the number of documents to be searched cannot be adjusted by changing the threshold.
  • the present invention provides a document browsing device, a method and a recordable electronic device for applying a dynamic threshold that can reset a threshold and continuously search for a document having a similarity above the reset threshold to generate a browsing connection configuration. It is about the medium.
  • a similar document search for searching for a document having a similarity or higher than a threshold set for a reference document by searching for a document management module and a document management module for managing the similarity between each document with respect to an input or stored document.
  • a document browsing apparatus applied with a dynamic threshold including a browsing connection configuration module for selecting any one of the module and retrieved documents and continuously searching for documents having a similarity or higher than a threshold set from the selected document to create a browsing connection configuration.
  • the document browsing apparatus to which the dynamic threshold value is applied may include a main word storage module for extracting the upper N main words from each document and assigning and storing them as representative main words of each document for the input or stored documents, and for each document pair.
  • the method may further include a similarity calculation module that compares the assigned representative subject words with each other and calculates similarity between documents.
  • the similarity calculation module may calculate the similarity between documents for all document pairs in a batch manner for all document pairs.
  • the similarity calculation module may calculate the similarity between the newly added document and the inputted or stored document in an incremental manner when a new document is added.
  • the document browsing apparatus to which the dynamic threshold is applied may further include a visualization module that visualizes the similarity between the documents retrieved in the similar document search module and the browsing connection configuration generated in the browsing connection configuration module.
  • the document browsing apparatus to which the dynamic threshold is applied may further include a threshold reset module for changing the set threshold.
  • the threshold reset module may include a threshold reset unit configured to change a previously set threshold value to a new threshold value when a new threshold value is input through a user interface for inputting a threshold value and a user interface.
  • the similar document retrieval module may re-search the similar document based on the reset threshold value when the threshold is reset, and the browsing connection configuration module may generate a browsing connection configuration for the re-searched documents.
  • Comparing representative subject words for all document pairs with each other and calculating and storing the similarity between documents may calculate the similarity between documents for all document pairs in a batch manner for a plurality of input or stored documents. .
  • Comparing the representative subjects for all document pairs with each other and calculating and storing the similarity between the documents may be performed to calculate the similarity between the newly added document and the inputted or stored document in an incremental manner when a new document is added. Can be.
  • the method may further include displaying the retrieved documents.
  • the document browsing method to which the dynamic threshold is applied includes the similarity between the retrieved documents after selecting any one of the retrieved documents and continuously searching for documents having a similarity or higher than a set threshold from the selected document to create a browsing connection configuration. And visualizing the browsing connection configuration between the document and the document.
  • the browsing method to which the dynamic threshold is applied may include selecting a one of the retrieved documents and continuously searching for documents having a similarity or higher than the set threshold from the selected document to generate a browsing connection configuration.
  • the method may further include a threshold reset step of changing and setting a new threshold value.
  • a program for executing a document browsing method to which a dynamic threshold is applied is provided and provides a recording medium readable by an electronic device.
  • the present invention it is possible to search for a variety of documents having different similarities to the reference document, and to search for documents having a similarity more than or equal to the reset threshold according to user selection.
  • FIG. 1 is a block diagram illustrating an embodiment of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • FIG. 2 is a block diagram illustrating an embodiment of a threshold reset module of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • FIG. 3 is a flow diagram illustrating a first embodiment of a document browsing method with a dynamic threshold applied in accordance with another aspect of the present invention.
  • FIG. 4 is a flow diagram illustrating a second embodiment of a document browsing method with a dynamic threshold applied in accordance with another aspect of the present invention.
  • FIG. 5 is a flowchart illustrating a third embodiment of a method for browsing a document to which a dynamic threshold is applied according to another aspect of the present invention.
  • FIG. 6 is a view for explaining a document similarity calculation result of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • FIG. 7 is a view for explaining a result of searching similar documents according to a threshold of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • FIG. 8 is a view for explaining a configuration of a browsing connection between documents of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention
  • FIG. 9 is a view illustrating a threshold value change of a document browsing apparatus to which a dynamic threshold value is applied according to an aspect of the present invention.
  • FIG. 10 is a view for explaining document similarity comparison using an incremental method of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • FIG. 1 is a view schematically showing a configuration diagram showing an embodiment of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention
  • FIG. 2 is a document to which the dynamic threshold is applied according to an aspect of the present invention.
  • a schematic diagram illustrating an exemplary embodiment of a threshold reset module of a browsing device is illustrated.
  • the document browsing apparatus 100 to which the dynamic threshold is applied may include a document management module 110, a similar document search module 120, and a browsing connection configuration module 130. It includes.
  • the document browsing apparatus 100 to which the dynamic threshold is applied may further include any one or more of a main control storage module 140, a similarity calculation module 150, a threshold reset module 160, and a visualization module 170. Can be.
  • the key word storage module 140 extracts the top N key words included in each document with respect to a newly input or pre-stored document, assigns and stores them as a representative key word of each document, and the similarity calculation module 150 stores all document pairs The similarity between the documents can be calculated by comparing the representative subjects with each other.
  • the keyword storage module 140 stores a topic dictionary storing valuable terms as a main subject and an unusable dictionary containing the unworthy terms as a subject, and searches for terms extracted from each document from the thesaurus and the unused dictionary as subjects. Can be selected.
  • the candidate candidates are selected, and the main candidates are term frequency and document frequency.
  • the ranking criteria may be applied and the N top candidates may be selected as the representative subjects.
  • the method of extracting the top N main words may extract the top N main words from each document in various ways, in accordance with an embodiment.
  • the similarity calculation module 150 may calculate the similarity by comparing representative key words of each document with respect to all document pairs.
  • the similarity calculation module 150 may assign the top five main words of each document as representative main words of each document, and compare the representative main words of each document with each other to calculate the number of matching representative main words among the representative main words in%.
  • representative keywords of 'document 1' are 'main control 1', 'main control 2', 'main control 3', 'main control 4' and 'main control 5'
  • the main keywords of 'document 2' are 'main control 2'.
  • 'Document 1' and 'Document 2' have a similarity of 60% because three of the five representative keywords match.
  • the similarity calculation method is an example and may be calculated in various ways.
  • the similarity calculation module 150 may calculate the similarity between documents in a batch manner for all document pairs.
  • Batch is a method that combines the data to be processed into a certain management unit, and calculates the similarity between documents in a batch method.
  • the first document is (n-1). Similarity is compared with two documents, and the second document is a similarity comparison with (n-2) documents.
  • the similarity calculation module 150 may calculate the similarity between the newly added document and the input or stored document in an incremental manner when a new document is added.
  • Incremental method processes data one by one, not data at once. Incremental method calculates the similarity between each document in incremental method. Is assigned as a representative subject, the similarity is calculated with previously stored documents, and the similarity relationship is broken when the document is deleted.
  • the newly entered documents can be compared with n pre-stored documents to calculate the similarity between all documents, thereby reducing service response time compared to comparing similarities using batch methods. .
  • the document management module 110 may manage the similarity between the documents calculated by the similarity calculation module 150 with respect to the input or stored document.
  • the document management module 110 may store and manage the similarity between documents in a two-dimensional matrix or a data structure having an equivalent effect, and may immediately change the batch if the similarity is updated in an incremental manner.
  • the similar document search module 120 may search the document management module 110 to search for a document having a similarity or higher than a threshold set for the reference document.
  • the browsing connection configuration module 130 may select one of the retrieved documents and continuously search for documents having a similarity or more than a threshold set from the selected document to generate a browsing connection configuration.
  • the browsing connection configuration module 130 searches for documents having a similarity or higher than a threshold set based on a document arbitrarily selected by a user among the searched documents, and retrieves documents having a similarity or higher than a threshold set based on each of the retrieved documents.
  • the browsing connection configuration may be generated by searching documents having similarity above a threshold in succession in order of searching again.
  • the visualization module 170 may visualize and display the similarity between the documents retrieved by the similar document search module 120 and the browsing connection configuration generated by the browsing connection configuration module 130.
  • the threshold reset module 160 includes a user interface 162 and a threshold reset unit 164, and may change a set threshold.
  • the user interface 162 of the threshold reset module 160 may be formed in the form of a selection box that specifies a plurality of thresholds.
  • the threshold value reset unit 164 may change the previously set threshold value to a new threshold value and set it.
  • the threshold value may be changed during document search to search for documents having different similarities.
  • the similar document retrieval module 120 may re-search the similar document based on the reset threshold value, and the browsing connection configuration module 130 may generate a browsing connection configuration for the re-searched documents.
  • FIG. 1 is a view schematically showing a configuration diagram showing an embodiment of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention
  • FIG. 2 is a document to which the dynamic threshold is applied according to an aspect of the present invention.
  • a schematic diagram illustrating an exemplary embodiment of a threshold reset module of a browsing device is illustrated.
  • the document browsing apparatus 100 to which the dynamic threshold is applied may include a document management module 110, a similar document search module 120, and a browsing connection configuration module 130. It includes.
  • the document browsing apparatus 100 to which the dynamic threshold is applied may further include any one or more of a main control storage module 140, a similarity calculation module 150, a threshold reset module 160, and a visualization module 170. Can be.
  • the key word storage module 140 extracts the top N key words included in each document with respect to a newly input or pre-stored document, assigns and stores them as a representative key word of each document, and the similarity calculation module 150 stores all document pairs. The similarity between the documents can be calculated by comparing the representative subjects with each other.
  • the keyword storage module 140 stores a subject dictionary storing valuable terms as a main subject, and an unusable subject dictionary storing unsatisfactory terms as a subject, and searches for terms extracted from each document from the subject dictionary and the unused topic dictionary as subject words. Can be selected.
  • the main candidates are selected, and the main candidates are term frequency and document frequency.
  • the ranking criteria may be applied and the N top candidates may be selected as the representative subjects.
  • the method of extracting the top N main words may extract the top N main words from each document in various ways, in accordance with an embodiment.
  • the similarity calculation module 150 may calculate the similarity by comparing representative key words of each document with respect to all document pairs.
  • FIG. 6 is a diagram illustrating a document similarity calculation result of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • the similarity calculation module 150 assigns the top five main words of each document as representative main words of each document, compares the representative main words of each document with each other, and matches among the representative main words.
  • the number of representative keywords can be calculated in%.
  • the main keywords of 'Document 1' are 'Main Control 1', 'Main Control 2', 'Main Control 3', 'Main Control 4' and 'Main Control 5'.
  • the main keywords of 'Document 2' are 'Main Control 2' and 'Main Control 4'. ',' Main control 5 ',' main control 6 'and' main control 9 '.
  • 'Document 1' and 'Document 2' have a similarity of 60% because three of the five representative keywords match.
  • the similarity calculation method is an example and may be calculated in various ways.
  • the similarity calculation module 150 may calculate the similarity between documents in a batch manner for all document pairs.
  • Batch is a method that combines the data to be processed into a certain management unit, and calculates the similarity between documents in a batch method.
  • the first document is (n-1). Similarity is compared with two documents, and the second document is a similarity comparison with (n-2) documents.
  • the similarity calculation module 150 may calculate the similarity between the newly added document and the input or stored document in an incremental manner when a new document is added.
  • FIG. 10 illustrates a comparison of document similarities using an incremental method of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • Incremental is a method of processing data one by one instead of processing the data at once, as shown in Figure 10, the method of calculating the similarity between each document in an incremental method is added when a new document is added After assigning the top N subjects to the representative subjects, the similarity is calculated with the previously stored documents, and the similarity relationship is broken when the documents are deleted.
  • the newly entered documents can be compared with n pre-stored documents to calculate the similarity between all documents, thereby reducing service response time compared to comparing similarities using batch methods. .
  • the document management module 110 may manage the similarity between the documents calculated by the similarity calculation module 150 with respect to the input or stored document.
  • the document management module 110 may store and manage the similarity between documents in a two-dimensional matrix or a data structure having an equivalent effect, and may immediately change the batch if the similarity is updated in an incremental manner.
  • the similar document search module 120 may search the document management module 110 to search for a document having a similarity or higher than a threshold set for the reference document.
  • FIG. 7 is a diagram for describing a result of searching similar documents according to a threshold of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • the browsing connection configuration module 130 may select one of the retrieved documents and continuously search for documents having a similarity or more than a threshold set from the selected document to generate a browsing connection configuration.
  • the browsing connection configuration module 130 searches for documents having a similarity or higher than a threshold set based on a document arbitrarily selected by a user among the searched documents, and retrieves documents having a similarity or higher than a threshold set based on each of the retrieved documents.
  • the browsing connection configuration may be generated by searching documents having similarity above a threshold in succession in order of searching again.
  • FIG. 8 is a diagram illustrating a configuration of a browsing connection between documents in a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • the browsing connection configuration module 130 may allow a user to select one of 'Document 2', 'Document 3', and 'Document 4' having a similarity level of 60% or more with the reference document 'Document 1'.
  • Documents having a similarity level of 60% or more can be continuously searched from a randomly selected document (for example, document 1).
  • the browsing connection configuration module 130 searches for 'document 2', 'document 3', and 'document 4' having a similarity of 60% or more with respect to 'document 1' to generate a browsing connection configuration (arrow), and then retrieves the 'document' 2), 'Document 3', and 'Document 4' are searched for documents with a similarity of 60% or more to create a browsing connection configuration.
  • create a browsing connection configuration by searching for 'Document 1' with a similarity level of 60% or more based on 'Document 2', and then search for 'Document 1' and 'Document 4' with a similarity level of 60% or more based on 'Document 3'.
  • the browsing connection configuration may be generated by searching, and the browsing connection configuration may be generated by searching for 'Document 1' and 'Document 3' having a similarity of 60% or more based on 'Document 4'.
  • a browsing connection configuration according to the similarity may be newly generated based on a document arbitrarily selected by a user among documents having a similarity to 60% or more.
  • the visualization module 170 may visualize and display the similarity between the documents retrieved by the similar document search module 120 and the browsing connection configuration generated by the browsing connection configuration module 130.
  • the threshold reset module 160 includes a user interface 162 and a threshold reset unit 164, and may change a set threshold.
  • FIG. 9 is a diagram illustrating a threshold change of a document browsing apparatus to which a dynamic threshold is applied according to an aspect of the present invention.
  • the user interface 162 of the threshold reset module 160 may be formed in a selection box that designates a plurality of thresholds.
  • the threshold value reset unit 164 may change the previously set threshold value to a new threshold value and set it.
  • the threshold value may be changed during document search to search for documents having different similarities.
  • the similar document search module 120 may re-search similar documents based on the reset threshold value, and the browsing connection configuration module 130 may generate a browsing connection configuration for the re-searched documents.
  • FIG. 3 is a flowchart illustrating a first embodiment of a method for browsing a document to which a dynamic threshold is applied according to another aspect of the present invention.
  • a method for browsing a document to which a dynamic threshold is applied includes extracting and storing a main word (S310), calculating and storing a document similarity (S320), and searching for a document having a similarity or higher than a set threshold value (S320).
  • a browsing connection configuration may be generated in operation S340.
  • the top N main words included in each document may be extracted and stored for the input or stored document.
  • the extraction of the top N keywords may be performed in various ways, and the top N keywords extracted from each document may be allocated and stored as representative keywords of each document.
  • Similarity calculation between each document can calculate the similarity between each document in batch method for all input or stored multiple documents or preset amount of documents and incremental when new document is added. In this way, the similarity between the newly added document and the input or stored document can be calculated.
  • a document having a similarity or higher than a threshold set for the reference document is searched, and one of the searched documents is selected to continuously search for documents having a similarity or higher than the threshold set from the selected document to generate a browsing connection configuration.
  • FIG. 4 is a flowchart illustrating a second embodiment of a method for browsing a document to which a dynamic threshold is applied according to another aspect of the present invention.
  • the main word extraction and storage is performed (S410), the document similarity is calculated and stored (S420), and has a similarity or higher than a set threshold.
  • Search for the document S430
  • display the searched document S440
  • create a browsing connection configuration between the retrieved documents S440
  • visualize the similarity between the retrieved documents S460.
  • the document browsing method to which the dynamic threshold is applied according to the second embodiment is a process of searching for a document having a similarity or higher than a threshold set for the reference document ( Between step S430 and step (S450) of continuously searching for documents having a similarity level higher than or equal to a threshold value selected from the selected documents (S450), a process of visualizing and displaying the similarity between the searched documents (S440) is shown. There is a configuration difference in that it includes more.
  • the document browsing method to which the dynamic threshold is applied according to the second embodiment is performed after generating a browsing connection configuration between retrieved documents (S450).
  • a process S460 that can visualize and display the browsing connection configuration between documents, the similarity between the retrieved documents.
  • FIG. 5 is a flowchart illustrating a third embodiment of a document browsing method to which a dynamic threshold is applied according to another aspect of the present invention.
  • the main word extraction and storage is performed (S510), the document similarity is calculated and stored (S520), and has a similarity greater than or equal to the set threshold.
  • Search for documents (S530), create a browsing connection configuration between retrieved documents (S540), reset thresholds (S560), similarity between retrieved documents according to set or reset thresholds, and browse connections between documents
  • the configuration may be visualized and displayed (S550).
  • the process of searching for a document having a similarity or higher than the reset threshold with respect to the reference document (S530) and continuously searching for documents having a similarity or higher than the reset threshold from the selected document among the retrieved documents The process of generating a browsing connection configuration may be repeated (S540).
  • a program for performing a document browsing method to which a dynamic threshold is applied may be recorded and recorded on a recording medium readable by the electronic device.
  • the document browsing method to which the dynamic threshold is applied can be written in a computer program, and codes and code segments constituting the program can be easily inferred by a computer programmer in the art.
  • the document browsing method to which the dynamic threshold is applied is stored in a computer readable medium, and when the threshold is changed by being read and executed by the computer, the document browsing method has a similarity to the reference document or more than the changed threshold. You can search the document to create a browsing connection configuration.
  • the present invention can be applied to a document browsing device and a device for retrieving data using the dynamic threshold value that can dynamically change the threshold value and thereby search for similar documents to create a browsing connection configuration between the retrieved documents. have.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La présente invention concerne un dispositif et un procédé de navigation dans un document ayant un seuil dynamique, et comporte : un module de gestion de documents pour gérer les similarités entre chacun des documents qui ont été introduits ou stockés ; un module de recherche de documents similaires pour rechercher, dans le module de gestion de documents, des documents ayant des similarités supérieures au seuil réglé pour des documents standard, et un module de configuration de connexion de navigation pour sélectionner l'un des documents trouvés, rechercher successivement des documents ayant des similarités supérieures au seuil réglé pour le document sélectionné, et générer une configuration de connexion de navigation.
PCT/KR2010/006426 2010-07-12 2010-09-17 Dispositif et procédé de navigation dans document ayant un seuil dynamique WO2012008655A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020100066745A KR101077982B1 (ko) 2010-07-12 2010-07-12 동적 임계값이 적용된 문서 브라우징 장치 및 방법
KR10-2010-0066745 2010-07-12

Publications (1)

Publication Number Publication Date
WO2012008655A1 true WO2012008655A1 (fr) 2012-01-19

Family

ID=45033575

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2010/006426 WO2012008655A1 (fr) 2010-07-12 2010-09-17 Dispositif et procédé de navigation dans document ayant un seuil dynamique

Country Status (2)

Country Link
KR (1) KR101077982B1 (fr)
WO (1) WO2012008655A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101931714B1 (ko) * 2016-12-20 2018-12-26 주식회사 와이즈넛 유사문서 추천장치를 이용하여 문서로부터 개체명을 추출하는 개체명 인식시스템 및 인식방법

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305505A (ja) * 1996-05-10 1997-11-28 Nec Corp 電子メール自動分類方式
JP2000090103A (ja) * 1998-09-10 2000-03-31 Fuji Xerox Co Ltd 情報検索装置及び情報検索プログラムを記録したコンピュータ読み取り可能な記録媒体
JP2002334045A (ja) * 2001-05-11 2002-11-22 Hitachi Ltd 電子メール分類方法及びその実施装置並びにその処理プログラム
KR20060099222A (ko) * 2005-03-11 2006-09-19 인하대학교 산학협력단 이메일 분류 시스템 및 방법

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09305505A (ja) * 1996-05-10 1997-11-28 Nec Corp 電子メール自動分類方式
JP2000090103A (ja) * 1998-09-10 2000-03-31 Fuji Xerox Co Ltd 情報検索装置及び情報検索プログラムを記録したコンピュータ読み取り可能な記録媒体
JP2002334045A (ja) * 2001-05-11 2002-11-22 Hitachi Ltd 電子メール分類方法及びその実施装置並びにその処理プログラム
KR20060099222A (ko) * 2005-03-11 2006-09-19 인하대학교 산학협력단 이메일 분류 시스템 및 방법

Also Published As

Publication number Publication date
KR101077982B1 (ko) 2011-10-31

Similar Documents

Publication Publication Date Title
WO2013081282A1 (fr) Système et procédé de recommandation d'application au moyen d'un mot clé
WO2012070840A2 (fr) Dispositif et procédé de recherche de consensus
WO2010137814A2 (fr) Procédé de fourniture d'une carte de brevets par point de vue et système associé
WO2020251233A1 (fr) Procédé, appareil et programme d'obtention de caractéristiques abstraites de données d'image
WO2011136425A1 (fr) Dispositif et procédé de mise en réseau de cadre de description de ressources à l'aide d'un schéma d'ontologie comprenant un dictionnaire combiné d'entités nommées et des règles d'exploration combinées
WO2016125949A1 (fr) Procédé et serveur de résumé automatique de document
WO2021060920A1 (fr) Système et procédé de résolution de partialité de texte en fonction de la sensibilité dans un modèle de langage
WO2010005261A2 (fr) Procédés de recherche et de création de fichiers pour des recherches de données et système de gestion de bases de données pour recherches de fichiers de données
WO2017115994A1 (fr) Procédé et dispositif destinés à fournir des notes au moyen d'un calcul de corrélation à base d'intelligence artificielle
WO2015129983A1 (fr) Dispositif et procédé destinés à recommander un film en fonction de l'exploration distribuée de règles d'association imprécises
WO2011162446A1 (fr) Module et procédé permettant de décider une entité nommée d'un terme à l'aide d'un dictionnaire d'entités nommées combiné avec un schéma d'ontologie et une règle d'exploration
WO2014058146A1 (fr) Appareil terminal utilisateur prenant en charge un défilement web rapide de documents web et son procédé
WO2022060066A1 (fr) Dispositif électronique, système et procédé de recherche de contenu
WO2019093599A1 (fr) Appareil permettant de générer des informations d'intérêt d'un utilisateur et procédé correspondant
WO2014115952A1 (fr) Système de dialogue vocal utilisant des paroles humoristiques et son procédé
WO2012030049A2 (fr) Appareil et procédé de classification de documents similaires par application de valeur seuil dynamique
WO2012046906A1 (fr) Dispositif et procédé de fourniture d'informations de recherche de ressources sur des corrélations marquées entre des objets de recherche en utilisant une base de connaissances issue d'une combinaison de ressources multiples
WO2015080371A1 (fr) Système et procédé de recherche d'image
WO2017057858A1 (fr) Système de gestion de connaissances avec fonction de recherche pour chacun de multiples domaines par valeur pondérée
WO2012008655A1 (fr) Dispositif et procédé de navigation dans document ayant un seuil dynamique
WO2012144685A1 (fr) Procédé et dispositif de visualisation du développement de technologie
WO2012046904A1 (fr) Procédé et dispositif pour fournir des informations de recherche à partir de ressources multiples
WO2019151620A1 (fr) Dispositif de fourniture d'informations de contenus et procédé correspondant
WO2017179778A1 (fr) Procédé et appareil de recherche utilisant des mégadonnées
WO2021003922A1 (fr) Procédé, dispositif et appareil d'optimisation d'entrée d'informations de page et support de stockage

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 10854777

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 10854777

Country of ref document: EP

Kind code of ref document: A1