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WO2001002984A2 - Systeme et procede de collecte et de gestion d'informations a partir d'une source numerique - Google Patents

Systeme et procede de collecte et de gestion d'informations a partir d'une source numerique Download PDF

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Publication number
WO2001002984A2
WO2001002984A2 PCT/US2000/018111 US0018111W WO0102984A2 WO 2001002984 A2 WO2001002984 A2 WO 2001002984A2 US 0018111 W US0018111 W US 0018111W WO 0102984 A2 WO0102984 A2 WO 0102984A2
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WO
WIPO (PCT)
Prior art keywords
item
context
user
file
meta
Prior art date
Application number
PCT/US2000/018111
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English (en)
Other versions
WO2001002984A3 (fr
Inventor
David S. Wadhwani
Dennis S. Buchheim
Richard S. Buchheim
Scott A. Raposa
Ethan F. Malasky
Original Assignee
Iharvest Corporation
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 Iharvest Corporation filed Critical Iharvest Corporation
Priority to NZ516340A priority Critical patent/NZ516340A/en
Priority to AU60628/00A priority patent/AU6062800A/en
Priority to JP2001508705A priority patent/JP2003524823A/ja
Priority to KR1020027000027A priority patent/KR20020075359A/ko
Priority to CA002377576A priority patent/CA2377576A1/fr
Priority to BR0011779-0A priority patent/BR0011779A/pt
Priority to EP00946945A priority patent/EP1282864A2/fr
Publication of WO2001002984A2 publication Critical patent/WO2001002984A2/fr
Publication of WO2001002984A3 publication Critical patent/WO2001002984A3/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G06F16/9562—Bookmark management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G06F40/35—Discourse or dialogue representation

Definitions

  • carrier documents to capture Web objects is extremely labor and system resource-intensive, often results in subtle or even radical alteration in the appearance of the captured object, and, unless extraordinary means such as storing objects one-per-document under a document management system are employed, the use of carrier documents provides only limited and coarse-grained management and retrieval capabilities.
  • high-traffic Web sites such as search portals both for gathering promotions targeting information about customers and for actually delivering the advertising.
  • These high-traffic sites typically obtain information about customer interests and buying patterns through two primary techniques.
  • sites implicitly gather information through tracking "click trails" to determined what sites a user visits, and what links a user follows.
  • sites explicitly gather information through promotions, contests, and site personalization features in which customers voluntarily provide more information about themselves in exchange for additional services, greater online convenience, or a chance to win prizes.
  • a major limitation has been the inability of current Internet information gathering techniques to provide specific actionable information about consumers.
  • the Context Database comprising the items, any associated files and the meta-data associated with the items. Once an item of information is captured and stored in a file, its meta-data is integrated within a database, such as an SQL database, to aid in the classification, annotation, structuring, and management of the captured information.
  • the Context Database allows a user to dynamically aggregate the captured information. In other words, the user may combine or reorganize different captured information items.
  • a Context Database is a WebBase in which the items are stored in a markup language such as HTML / XML so that items are easily managed over the Internet.
  • the WebBase embodiment of the present invention brings together the power of a database and the ubiquity of Web pages. This melding of Web pages and a SQL database enables many peripheral features, like sharing and importing/exporting with little additional work.
  • the present invention uses the meta-data associated with the captured information in the Context Database to improve searches performed on digital information systems such as the Internet.
  • the present invention analyzes a Summary of the user's interests relevant to the search to determine which words to use in the search and how to use those words in the query.
  • the meta-data associated with captured information is used to create a powerful search query which adds information from the user's Summary of interests which can then be passed along to existing search portals.
  • Figure 2F shows an embodiment of user interface as a pop-up window which is displayed to a user for changing the appearance of the item.
  • Figure 3 A illustrates an embodiment of a computer-implemented system for capturing and managing items of both a coarse-grained and granular information from digital sources as embodied within the environment of a browser.
  • Figure 8B is a flow diagram of an embodiment of a method of enhanced searching.
  • each display indicates a user's selection 110 of a granular item of information 112' that is selected responsive to a user's operation of an input device, such as the mouse 1 16 or the stylus 126 in accordance with the operating system's drop and drag infrastructure.
  • the keyboard 1 14 may also be used as well as any other input devices for selecting the desired granular item of information.
  • the user may also click on the highlight button 124', run a cursor over the granular information to be selected using an input device. The user then clicks on the one click capture button 122' to indicate to capture the selected item .
  • the Generated File Manager 328 will store the item, now in its aggregatable format in a file system 354.
  • the Generated File Manager dynamically generates a header that is written to a buffer.
  • the Generated File Manager will locate the item, or items if a collection is selected, in "aggregateable" format, and append it or them to this header.
  • the resulting buffer is written to a file and displayed to the user.
  • the Context Database Manager 330 stores, retrieves and searches for requested data for the other components of the system from the Context Database 140'.
  • Context Summarizer creates a Context Summary each time a user selects an item or collection and sends the Summary to the Profile Analyzer 342, located on the server 128 in this embodiment.
  • the Context Summarizer creates a Context Summary of keywords when requested by the Search Enhancer to which it returns the Summary.
  • the Profile Analyzer 342 receives the Context Summary on each selection of an item or collection.
  • the Context Summarizer 332 includes the category of an item.
  • the Profile Analyzer 342 will obtain the category of the selected item or collection by requesting it from the Context Database Manager 330. The Profile Analyzer then sends the Summary and the category for the current selection to a Promoter Interface 344 located on a server 128.
  • the Search Enhancer creates a Search Summary from the Context Summaries which is sent along with the user's selected search engine to a Query Generator 348 on server 128 in this embodiment.
  • the Query Generator 339 will place the words of the Search Summary in the proper form according to Search Engine Grammar Protocols 339.
  • Figure 3B illustrates an embodiment of the Context Database as a WebBase 370 comprising an SQL database 376 and the user's files 378.
  • the user's files comprises the user's items 372, as well as associated files 374 comprising files for referenced objects 374 such as an HTML frame or an embedded object such as an image or movie.
  • the use of an SQL database aids in the classification, annotation, structuring, and management of the captured information.
  • the SQL database comprises tables that define relationships so as to provide context to the user in managing the WebBase. Examples of table definitions were included in Appendix B of the Provisional Application, which has been incorporated by reference.
  • the tables include an object table 380, a relationship table 382, a Filter table 392, a Filter Relationship table 394, an info map table 388, an info maps expkeys table 390, a tag table 386 and a Tag Relationship table 384.
  • an item is represented by an entry in the object table 380.
  • Columns include but are not limited to a key for keying into a particular item, the name of the item, notes, its source, source description, a pointer to the file's location, appearance attributes such as background color, and its child order with respect to a parent collection.
  • Each item belongs in one or more collections as defined in the relationship table 382. For example, each item can be related as a child of one or more parent collections, and each collection can in turn be related as a child of one or more parent collections.
  • formats examples include markup languages such as HTML and XML, a URL to an ASCII file (including local files), Rich Text Format, proprietary binary formats such as those used with some word processors for embedded files and hyperlinks, local binary files such as those storing images and other multimedia, a URL to a binary file, and references to "self-managed" embedded objects such as a registered component that interprets and displays data and these objects amalgamated with other data such as Microsoft Excel, Microsoft Word, Acrobat PDF, Flash, and ASCII text.
  • HTML is used in the following examples as the unifying format. All conversions occur recursively to ensure that the referenced files are appropriately converted as well if necessary.
  • Figure 4 illustrates an embodiment of a method for converting an item of information into a uniform aggregatable HTML file format.
  • the format of the item is determined 402.
  • the Capture Control 322 provided the format.
  • a local representation of the current item is generated 404 in HTML.
  • file formatting and meta-data generation are done together in a single pass of the capture item.
  • a name suggestion buffer and a keyword suggestion buffer are prepared 418.
  • the item's characters are converted 422 to a single unifying character set.
  • An example of a universal character set is the Unicode or the common Unicode mapping UTF8. This conversion is an example of an "aggregateable" transformation. This allows for the aggregation of two items which were previously incompatible based on prorprietaty character set formats.
  • references to other external files are downloaded 408.
  • the downloaded files are made 410 HTML compatible. For example, IMG tags are placed around images, and anchor tags around links.
  • the references in the item to the external files are resolved 412 to point to the local copies of the files.
  • the file is placed in aggregateable format 414 by for example, converting absolutely positioned objects to relatively positioned ones. This allows an item to maintain it's presentation integrity regardless of where it falls in an aggregated display.
  • the item's header information can be removed from an item's HTML (if it exists) and stored in the Context Database.
  • An example of an attributes that may be saved from the header information to maintain presentation integrity are the colors and fonts in which portions of the item are to be displayed.
  • pointers to the file in a unified aggregatable format are stored 416 as meta-data including attributes of the item for later header generation upon dynamic aggregation.
  • the application may be downloaded or executed.
  • a heuristic is used to analyze the parameter list by parsing its values. If it has "/" and ".” and extension we assume it's a reference to a file which is downloaded. The reference is resolved to the local copy, and the parameters are altered, so content can be displayed without loss of information, formatting or function.
  • URLs are simple references to files (HTML). In one embodiment, the user is given two options. First, capture the file that is referenced, in which the capture process is simply restarted for treating the data as the file type rather than as a URL.
  • the remote file may be downloaded and managed as in the case of the local binary file.
  • Formatting is done to maintain the integrity of the text. For example, spaces are converted to “&nbsp”, CRLFs are converted to “ ⁇ BR>", “>” are converted to “&gt” and " ⁇ " converted to "&lt”.
  • HTML has rules and constraints which the content of the text may trigger or violate.
  • the text is passed through a conversion filter that outputs HTML which when viewed in an HTML interpreter (like a Web browser) displays the content that was captured.
  • Figures 5A and 5B show an overall flow diagram of one embodiment of a process of generating meta-data for an item as may be executed by the meta-data generator.
  • Meta-data is associated with every item the user captures, and as shown in Figure 2D, this meta-data can be viewed and changed by the user.
  • the meta-data generated comprises a name, category, keywords, source and source description for each item.
  • the name suggestion buffer and the keyword suggestion buffer have been prepared 418.
  • the content of the capture item was filtered to provide "relevant" information, meaning information whose formatting tags (bold, italic, position, etc.) has been removed.
  • the relevant information has been stored in both buffers.
  • the source of an item is associated with the item based upon information received from the source application during the transfer of data 520.
  • Part of an item's meta-data in this embodiment is a description.
  • the description can also be created from the name suggestion buffer of relevant information. For example, if the unified file format is in a parsable markup language 522, and there is a title tag 524, the item's description or source description can be set to the content in the title tag 526. If there is no title tag associated with the item 522, 524, then the item's description can be set to its source 528.
  • a capture destination of an item has a category assigned to it 530. If it does, an SQL query of the Object 380, Relationship 382 , Tag 386 and Tag Relationship 384 tables in the user's Context Database, for example a WebBase, is made to capture all the keywords that satisfy the set which is a union of the previous three sets. The result from the query is the Context Keywords set for the particular item.
  • an SQL query of the Object 380, Relationship 382 , Tag 386 and Tag Relationship 384 tables in the user's Context Database for example a WebBase
  • Figure 6A illustrates an example of an item access system, a file system hierarchy for storing an item and the objects it references.
  • top directory is an Installation Directory 602.
  • the Data Directory 604 which comprises Item HTML Files 606, Generated Display Files 612 and a Item Associated Directory 608 which is at the same level as the Item HTML Files.
  • the Files Associated with that directory 610 meaning the objects which the associated Item file references.
  • Figure 6B illustrates an example of 3 items formatted to HTML with references to external files using the file system hierarchy of Figure 6A.
  • the Context Summarizer 332 distills "usable" pieces of the information out of a Context Database and creates a succinct Summary of the users interest at any given moment.
  • the Context Summarizer 332 comprises a Database Summarizer 334 and a Context Filter 336.
  • the Database Summarizer analyzes the meta-data associated with each item and the relationships defined in the Context Database, and is able to generate a weighted, keyword-based Summary of the user's interests. This Summarization method effectively provides a multidimensional synopsis of the user's interests in a format that can efficiently be analyzed by a computer.
  • the Context Summarizer creates a Context Summary based on the input of two types of information or seeds, the first being a selection of an item or collection, as may be indicated by a user click, and the second being one or more words entered by the user.
  • the seed is of the second type
  • the method comprises the actions used for a selection of an item or collection as described in Figure 7A.
  • a current level variable is set to the level of the item or collection selected by the user, the current selection, 702 in the file system hierarchy.
  • the level of the current selection is the root level.
  • the keywords associated with the item or collection of the current level are obtained 704. All the keywords at this level are weighed with a formula, such as [100 / (level - 0.05)], that prioritizes keywords that are closest to the root level 706.
  • a determination is made as to whether the keyword is associated with an item or collection in the current open tree 708.
  • the name of the item or collection 712 has a lower weight applied to it 712.
  • the weight of the name may be determined by [75/((level)2 - 0.05)]. If it is determined that the item or collection is in the current open tree 714, the Context Filter is also applied to the name 716. If there is another level up in the file hierarchy 718, the current level is set to the next level up 720, and the process repeats until there are no more levels to traverse 722.
  • the Context Filter in this example is embodied as an additional multiplicative factor. If the item or collection being evaluated is in the current open tree as denoted by the asterisk, the weighting will be multiplied by 2.5. This factor was chosen so that a keyword/title from an item or collection at level 4 in the current open tree would have more weight than a keyword/title from another at level 2 which is not in the current open tree.
  • the user input indicating a search request is received 818, and a determination is made whether a search string 820 has been entered. If not, then an item or collection has been selected, so a Context Summary is created for the selected item or collection 824. If a search string was entered, the search string is parsed 822 into the user's search words. The keywords in the user's Context Database 140 are searched 826 for occurrences of the user's search words. If no occurrences have been found, the method terminates 827 in this embodiment. Otherwise, the items and collections having the user's search words 830. For each item or collection, a Context Summary is created 832. Weights of keywords that appear more than once in all of the Context Summaries are summed 834. Whether the user clicked on an item or collection, or entered keywords, a Search
  • Figure 9A illustrates a user interface window in which the user has clicked on
  • Kenya 920 would not affect the weighting at all, in the context of Kenya's Masai Mara 918.

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Abstract

L'invention concerne un système et un procédé qui permettent à un utilisateur de collecter à partir d'un document ou d'un fichier global, en sus d'autres éléments, des éléments d'information fragmentés (c'est-à-dire des sous-éléments d'information) intéressant l'utilisateur. De plus, une base de données contextuelle est créée à l'intention de l'utilisateur qui comprend les éléments collectés, des fichiers associés auxdits éléments et des méta-données incluant des mots-clés associés aux éléments. La base de données contextuelle est interrogée aux fins de générer un historique contextuel en réponse à des sélections effectuées par l'utilisateur ou à des mots entrés par un utilisateur. Cet historique contextuel est utilisé pour améliorer la recherche et pour sélectionner des annonces publicitaires ciblées en vue de leur présentation à l'utilisateur sur la base des informations actives de l'utilisateur.
PCT/US2000/018111 1999-07-02 2000-06-30 Systeme et procede de collecte et de gestion d'informations a partir d'une source numerique WO2001002984A2 (fr)

Priority Applications (7)

Application Number Priority Date Filing Date Title
NZ516340A NZ516340A (en) 1999-07-02 2000-06-30 System and method for capturing and managing information from digital source
AU60628/00A AU6062800A (en) 1999-07-02 2000-06-30 System and method for capturing and managing information from digital source
JP2001508705A JP2003524823A (ja) 1999-07-02 2000-06-30 デジタルソースからの情報の捕獲及び管理のためのシステム及び方法
KR1020027000027A KR20020075359A (ko) 1999-07-02 2000-06-30 디지털 소스로부터 정보를 포착하고 관리하기 위한 시스템및 방법
CA002377576A CA2377576A1 (fr) 1999-07-02 2000-06-30 Systeme et procede de collecte et de gestion d'informations a partir d'une source numerique
BR0011779-0A BR0011779A (pt) 1999-07-02 2000-06-30 Sistema e método para capturar e gerenciar informação a partir de fonte digital
EP00946945A EP1282864A2 (fr) 1999-07-02 2000-06-30 Systeme et procede de collecte et de gestion d'informations a partir d'une source numerique

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14223799P 1999-07-02 1999-07-02
US60/142,237 1999-07-02

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WO2001002984A2 true WO2001002984A2 (fr) 2001-01-11
WO2001002984A3 WO2001002984A3 (fr) 2002-11-28

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EP (1) EP1282864A2 (fr)
JP (1) JP2003524823A (fr)
KR (1) KR20020075359A (fr)
AU (1) AU6062800A (fr)
BR (1) BR0011779A (fr)
CA (1) CA2377576A1 (fr)
NZ (1) NZ516340A (fr)
WO (1) WO2001002984A2 (fr)

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WO2002091233A2 (fr) * 2001-05-03 2002-11-14 Connextra Limited Serveurs d'information
JP2004326761A (ja) * 2003-04-11 2004-11-18 Ricoh Co Ltd ソース記号書類に関する動作を実行するための技術
EP1630692A1 (fr) * 2003-05-19 2006-03-01 Saora Kabushiki Kaisha Methode de traitement d'informations, appareil et programme associes
EP1695179A2 (fr) * 2003-11-24 2006-08-30 Google, Inc. Utilisation de concepts pour le ciblage de publicit s
WO2007090560A1 (fr) * 2006-02-03 2007-08-16 Hurra Communications Gmbh Procédé de sélection et de représentation d'au moins une information supplémentaire
KR100926123B1 (ko) * 2008-07-21 2009-11-11 강민수 디지털 콘텐츠에 포함된 텍스트 콘텐츠를 이용한 광고 방법
WO2009120004A3 (fr) * 2008-03-24 2010-01-14 Kang Min Soo Procédé de publicité par mots-clés au moyen de méta-informations relatives à un contenu numérique et système associé
US7689915B2 (en) 2004-07-29 2010-03-30 Canon Kabushiki Kaisha Image processing apparatus and image processing method using image attribute information and thumbnail displays for display control
KR100955693B1 (ko) * 2001-11-27 2010-05-03 강민수 텍스트 콘텐츠를 이용한 광고 방법.
US7822735B2 (en) 2000-05-29 2010-10-26 Saora Kabushiki Kaisha System and method for saving browsed data
KR101055271B1 (ko) 2008-03-24 2011-08-09 강민수 노출된 상업적 태그 집합으로 호출되는 키워드 광고 콘텐츠정보 처리 방법
EP2524342A1 (fr) * 2010-01-13 2012-11-21 Alibaba Group Holding Limited Procédé, appareil et système permettant de recueillir les informations d'un site web dédié au commerce en ligne
US8365224B2 (en) 2004-06-24 2013-01-29 Electronics And Telecommunications Research Institute Extended description to support targeting scheme, and TV anytime service and system employing the same
US10043199B2 (en) 2013-01-30 2018-08-07 Alibaba Group Holding Limited Method, device and system for publishing merchandise information
CN111079377A (zh) * 2019-12-03 2020-04-28 哈尔滨工程大学 一种面向中文医疗文本命名实体识别的方法

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Cited By (21)

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Publication number Priority date Publication date Assignee Title
US7822735B2 (en) 2000-05-29 2010-10-26 Saora Kabushiki Kaisha System and method for saving browsed data
WO2002091233A3 (fr) * 2001-05-03 2003-02-27 Connextra Ltd Serveurs d'information
WO2002091233A2 (fr) * 2001-05-03 2002-11-14 Connextra Limited Serveurs d'information
KR100955693B1 (ko) * 2001-11-27 2010-05-03 강민수 텍스트 콘텐츠를 이용한 광고 방법.
JP2004326761A (ja) * 2003-04-11 2004-11-18 Ricoh Co Ltd ソース記号書類に関する動作を実行するための技術
EP1630692A1 (fr) * 2003-05-19 2006-03-01 Saora Kabushiki Kaisha Methode de traitement d'informations, appareil et programme associes
EP1630692A4 (fr) * 2003-05-19 2007-04-11 Saora Kabushiki Kaisha Methode de traitement d'informations, appareil et programme associes
EP1695179A2 (fr) * 2003-11-24 2006-08-30 Google, Inc. Utilisation de concepts pour le ciblage de publicit s
EP1695179A4 (fr) * 2003-11-24 2008-01-16 Google Inc Utilisation de concepts pour le ciblage de publicit s
US8365224B2 (en) 2004-06-24 2013-01-29 Electronics And Telecommunications Research Institute Extended description to support targeting scheme, and TV anytime service and system employing the same
US7689915B2 (en) 2004-07-29 2010-03-30 Canon Kabushiki Kaisha Image processing apparatus and image processing method using image attribute information and thumbnail displays for display control
EP1826685A1 (fr) * 2006-02-03 2007-08-29 Hurra Communications GmbH Procédé poir la selection et presentation d'au moins une information supplémentaire
WO2007090560A1 (fr) * 2006-02-03 2007-08-16 Hurra Communications Gmbh Procédé de sélection et de représentation d'au moins une information supplémentaire
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KR100926123B1 (ko) * 2008-07-21 2009-11-11 강민수 디지털 콘텐츠에 포함된 텍스트 콘텐츠를 이용한 광고 방법
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EP2524342A4 (fr) * 2010-01-13 2013-08-21 Alibaba Group Holding Ltd Procédé, appareil et système permettant de recueillir les informations d'un site web dédié au commerce en ligne
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CN111079377A (zh) * 2019-12-03 2020-04-28 哈尔滨工程大学 一种面向中文医疗文本命名实体识别的方法
CN111079377B (zh) * 2019-12-03 2022-12-13 哈尔滨工程大学 一种面向中文医疗文本命名实体识别的方法

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NZ516340A (en) 2004-07-30
EP1282864A2 (fr) 2003-02-12
CA2377576A1 (fr) 2001-01-11
KR20020075359A (ko) 2002-10-04
WO2001002984A3 (fr) 2002-11-28
AU6062800A (en) 2001-01-22
BR0011779A (pt) 2003-07-01

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