EP1754171A1 - Procede et systeme de generation automatisee de dispositifs de commande et d'analyse assistes par ordinateur - Google Patents

Procede et systeme de generation automatisee de dispositifs de commande et d'analyse assistes par ordinateur

Info

Publication number
EP1754171A1
EP1754171A1 EP04766015A EP04766015A EP1754171A1 EP 1754171 A1 EP1754171 A1 EP 1754171A1 EP 04766015 A EP04766015 A EP 04766015A EP 04766015 A EP04766015 A EP 04766015A EP 1754171 A1 EP1754171 A1 EP 1754171A1
Authority
EP
European Patent Office
Prior art keywords
data
module
modules
analysis
task
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP04766015A
Other languages
German (de)
English (en)
Inventor
François RÜF
Leo Keller
Ales Prochazka
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Microsoft MCIO Schweiz GmbH
Original Assignee
Netbreeze GmbH
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 Netbreeze GmbH filed Critical Netbreeze GmbH
Publication of EP1754171A1 publication Critical patent/EP1754171A1/fr
Withdrawn legal-status Critical Current

Links

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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/242—Query formulation
    • G06F16/2433—Query languages
    • G06F16/244—Grouping and aggregation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471—Distributed queries

Definitions

  • the invention relates to a system and a method for the automated generation of complex control and / or analysis devices, by means of which control and analysis devices data are aggregated, analyzed and displayed from decentralized databases.
  • the invention relates in particular to a system and method for real-time analysis of decentralized stored multimedia data and / or for dynamic real-time adaptation of control systems or devices. Automated control and analysis systems are today out of the
  • search engines such as the well-known Internet search engines with, for example, the known Altavista engine as a word-based search engine or, for example, the Yahoo engine as a topic-based search engine.
  • Search engines make a large number of decentralized data sources usable for the user, since without such aids the prospect that as much of the relevant data as possible is really found drops drastically.
  • the search engine technology available in the prior art often does not give the user really satisfactory answers.
  • a user wants to find information, for example on the car model type Fiat Uno, for example in connection with a liability claim for product liability in relation to a faulty design with technical consequences.
  • General search engines will typically provide a variety of irrelevant links to the keyword "Uno” or "Fiat Uno” on this topic, since the search engines find the context (in this case, the legal-legal context) in which the search term is found , cannot recognize. A possible combination of search terms often helps little.
  • the Internet search engines usually follow the strategy of "every document is relevant", which is why they try to record and index every accessible document. Their functionality is always based on this unedited selection of documents.
  • Another disadvantage of the prior art search engines is that the hierarchy of the documents found can be easily manipulated by the provider (URL, title, frequency in content, meta tags, etc.), which results in a distorted image of the documents found , A classification of the documents by the provider may be possible for a few areas.
  • these objectives are achieved by the invention in that, for the automated generation of complex control and / or analysis devices, data from decentralized databases are aggregated and / or analyzed and / or represented, that a task-specific organizational profile based at least on task condition data and / or Object condition data and / or transfer condition data is generated, that a list is generated with at least one data aggregation module, each data aggregation module having one or more predefined data transmission protocols and / or access protocols of the ones to be analyzed Databases are assigned that a list with at least one data analysis module is generated, with each data analysis module being assigned one or more predefined metadata types and / or analysis units, based on soft metadata and / or analysis units aggregated data of the decentralized databases that are analyzed that a list is generated with at least one data representation module, with each data representation module being assigned one or more predefined data representation modules, and with the at least one data aggregation modules and / or data analysis modules and / or data representation modules being associated by means of data channels generated by
  • the metadata can, for example, be generated dynamically at least in part and, for example, can be based at least in part on the data of the task-specific profile.
  • the databases can be accessed via network nodes connected to a network. This has the advantage, among other things, that the generation of complex control and / or analysis devices can be fully automated without the user having to have extensive prior programming knowledge.
  • the processes within the control and / or analysis devices, such as the data flow remain transparent to the user at all times and can be changed or adapted accordingly.
  • the data display modules can in particular, for example, be HTML (Hyper Text Markup Language) and / or HDML (Handheld Device Markup Language) and / or WML (Wireless Markup Language) and / or VRML (Virtual Reality Modeling Language) and / or ASP (Active Server Pages) module.
  • HTML Hyper Text Markup Language
  • HDML High-held Device Markup Language
  • WML Wireless Markup Language
  • VRML Virtual Reality Modeling Language
  • ASP Active Server Pages
  • the task-specific organizational profile is generated automatically by means of an expert module.
  • the expert module can include, for example, adaptive recognition and analysis units based, for example, on neural network modules.
  • This embodiment variant has the advantage, among other things, that the generation and / or adaptation of the complex control and / or analysis devices can be automated further.
  • the data channels are assigned at least partially dynamically. This variant has the advantage, among other things, that the data flow can be changed in real time. This has not been possible in any way in the prior art.
  • output data of the control and / or analysis devices and / or references to output data are stored in a data memory of a content module.
  • This embodiment variant has the advantage, among other things, that the result of an analysis or a query can be queried at any time by a user, for example using a mobile or stationary network terminal.
  • output data of the control and / or analysis devices are stored in at least one of the decentralized databases, the data aggregation modules accessing this at least one database.
  • This variant has i.a. the advantage that "recursive" and / or feedback data flows can also be generated by means of the control and / or analysis devices and e.g. can be changed dynamically. For example, it is conceivable, based on definable equilibrium conditions, to use e.g. to change the Expert module dynamically. This is a major advantage, particularly in the case of complex dynamic processes, which until now could not be achieved with the state of the art.
  • data aggregation modules, data analysis modules and data representation modules are at least partially recursively connected by means of the data channels via the workflow module.
  • This version has among other things the same advantages as the previous one. In particular, it also allows complex dynamic processes (e.g. also in real time) to be recorded.
  • the present invention also relates to a system for carrying out this method. Furthermore, it is not limited to that mentioned system and method, but also relates to a computer program product for implementing the method according to the invention.
  • FIG. 1 schematically shows the functioning of a system according to the invention for the automated generation of complex control and / or analysis devices.
  • FIG. 2 schematically illustrates a simple organizational profile for generating an input module for a search engine.
  • Figure 1 schematically illustrates an architecture that can be used to implement the invention.
  • data from decentralized databases 50 are aggregated, analyzed and displayed for the automated generation of complex control and / or analysis devices by means of the control and analysis devices.
  • the databases 50 can be accessed, for example, via network nodes connected to a network 60.
  • the term database 50 is to be understood here in its broadest possible sense.
  • such a database 50 can include not only one or more storage modules for data storage, but also data acquisition devices, such as sensors and / or measuring devices, with which devices and systems can be monitored directly.
  • the data can be made available in the database 50 in a processed manner.
  • Data includes all possible types of data, such as, in particular, multimedia data, such as digital data such as text, graphics, images, cards, animations, moving images, video, quicktime, sound recordings, programs (software), program-related data and hyperlinks or references understood on multimedia data.
  • multimedia data such as digital data such as text, graphics, images, cards, animations, moving images, video, quicktime, sound recordings, programs (software), program-related data and hyperlinks or references understood on multimedia data.
  • MPx MP3
  • MPEGx MPEG4 or 7
  • the network 50 can in particular comprise communication networks, such as a mobile radio network (PLMN: Public Land Mobile Network), such as a GSM (Global System for Mobile communication) or a UMTS network (Universal Mobile Telephone System), or a satellite-based cellular network, and / or one or more fixed networks, for example the public switched telephone network (PSTN: Public Switched Telephone Network), the worldwide Internet or a suitable one LAN (Local Area Network) or WAN (Wide Area Network). In particular, it also includes ISDN and XDSL connections.
  • a task-specific and / or user-specific organizational profile 20 is generated based on at least task condition data 21 and / or object condition data 22 and / or handover condition data 23.
  • the task condition data 21 can include, for example, information relating to modules according to the invention which relate to the generation and / or manipulation of data units.
  • the object condition data 22 can include, for example, information relating to the data units that are processed by the modules and / or passed on to other modules.
  • the transfer condition data 23 can include, for example, information relating to data channels that unidirectionally and / or bidirectionally and / or recursively connect the individual modules according to the invention and at least partially determine the data flow and the processing direction within the complex control and / or analysis devices.
  • the transfer condition data 23 can be divided, for example, into data relating to a start module, an end module and data relating to the manner in which data units are to be transferred and how between the modules.
  • the transfer conditions can relate to data and / or metadata, for example.
  • An example of such transfer condition data 23 can be:
  • the modules according to the invention can for example change the name / ID of the module, possible input, possible output and module-specific configurations. believe it. They can include an input interface and / or an output interface or a combination thereof.
  • the task-specific organizational profile 20 can be generated, for example, in an automated and / or partially automated manner by means of an expert module (27).
  • Such an expert module can be formed, for example, based on neural networks and / or other systems of artificial intelligence.
  • the expert module can, for example, also include at least partially adaptive elements, which allows, for example, real-time adaptation of the control and / or analysis devices to changed conditions.
  • a first processing unit 30 is generated with at least one data aggregation module 301, 302, ..., wherein each data aggregation module 301, 302, ...
  • the first processing unit 30 can be implemented in terms of hardware and / or software, for example.
  • the data aggregation module 301, 302, ... can comprise, for example, so-called software and / or hardware-implemented agents, such as, for example, access agents and / or upload / download agents and / or monitoring agents.
  • the data aggregation modules 301, 302 can include the following agents: web resource access agent, web resource observer agent, web resource crawler agent, web search engine agent, newsgroup access agent, newsgroup upload agent, newsgroup observer agent, Newsgroup Channel Observer Agent, Chat Access Agent, Chatter Agent, Chat Room Observer Agent, FTP Access Agent, FTP Upload Agent, FTP Observer Agent, Mail Access Agent, Mail Upload Agent, Mail Observer Agent, Database Access Agent, Database Upload Agent, Database Observer Agent, File Access Agent, File Upload Agent, File Resource Observer Agent, File Directory Observer Agent, XML Service Agent and / or Java Agent.
  • the workflow module can use the agents to access the network objects corresponding to their name.
  • a second processing unit 31 is generated with at least one data analysis module 311, 312, ..., each data analysis module 311, 312, ... having one or more predefined metadata types 310 and / or analysis Lysis units 310 are assigned, based on which aggregated data from the decentralized databases 50 are analyzed.
  • the metadata 310 are extracted, for example, using a content-based indexing technique and can include keywords, synonyms, references to multimedia data (eg also hyperlinks), image and / or sound sequences, etc.
  • Such systems are known in various variations in the prior art. Examples of this are US Pat. No. 5,414,644, which describes a three-file indexing technique, or US Pat. No.
  • the metadata 310 can also be generated at least partially dynamically (in real time), for example also based on user data of a user profile. This has the advantage, for example, that the metadata 310 is always up-to-date and accurate for the user. From the user behavior, for example on a communication device for access to the complex control and / or analysis devices to a metadata extraction module, there can thus be a type of feedback option that can directly influence the extraction.
  • the dynamic generation of the metadata 310 can in particular be based at least in part on the data of the task-specific organizational profile 20.
  • the data analysis modules 311, 312, ... can include the following agents: Information Extraction Analyzer (using this analyzer, for example, text parts can be extracted from a text file. The corresponding text parts can be based, for example, on the data aggregation modules 301, 302 ,. ..
  • Text Classification Analyzer using this analyzer it is possible, for example, to check a text content for a specific topic
  • Topic Identifier Analyzer using this analyzer, for example, it is possible to assign an unspecified part of a text file extract
  • topic relevance analyzer using this analyzer it is possible, for example, to identify topics according to their relevance in a text file
  • topic relevance analyzer using this analyzer, for example, it is possible to determine the relevance of different topics within a text
  • Keyword Extractor Analyzer using this analyzer it is possible, for example, to find the most important keywords in a text extract
  • stakeholder type analyzer with Using this analyzer, it is possible, for example, to classify network objects according to predefined data keys and / or records
  • Text Summary Analyzer using this analyzer, for example, it is possible to generate a summary of a text file automatically
  • URI Analyzer using this analyzer it is possible, for example, to extract the URI (Uniform Resource Identifier) of
  • the changes can be made both to the objects and which relate to metadata), Basic AI (Artifitial Intelligent) Analyzer (using this analyzer it is possible, for example, to perform different tasks, in particular adaptive and / or Realize learnable tasks, such as tokenizers, gazetteers, file offices and / or language markers (taggers), paragraph splitter, sentence splitter, semantic tagger, conference matcher, grammatical parser, machine learning algorithm, neuronal network etc.) and / or pre-knowledge module (This module does not directly serve as an analyzer, but instead it can be possible, for example, to check grammar, dictionaries (e.g. specialist dictionaries etc.), taxonomy etc. for analyzer input and / or output).
  • Basic AI Artifitial Intelligent
  • Analyzer using this analyzer it is possible, for example, to perform different tasks, in particular adaptive and / or Realize learnable tasks, such as tokenizers, gazetteers, file offices and / or language markers (taggers), paragraph splitter, sentence splitter
  • a third processing unit 32 is generated with at least one data representation module 321, 322, ..., with each data representation module 321, 322, ... being assigned one or more predefined data representation modules 320.
  • the data representation modules 321, 322, ... can comprise the following modules: Data Retrieval Module (this module can be used as a search engine module, for example. It can also have access to all commands and files generated by the workflow module, for example), chart Engine (using this module it is possible, for example, to generate charts and / or diagrams from one or more network objects, i.e.
  • PDF report engine using this module it is possible, for example, to create a PDF report regarding a or several network objects.
  • Web Application Module using this module it is possible, for example, to create web pages, especially in HTML (Hyper Text Markup Language) and / or HDML (Handheld Device Markup Language) and / or WML ( Wireless Markup Language) and / or VRML (Virtual Reality Modeling Language) etc.
  • a data flow using data channels 41 between the modules 301, 302, 311, 312, 321, 322, ... is defined in accordance with the task-specific organizational profile 20.
  • the workflow module 40 can, for example, be subdivided into a task configuration unit and / or task generator unit and / or transfer condition configuration unit and / or transfer condition generator unit.
  • the task configuration unit can, for example, change an existing configuration of the workflow of the control and / or analysis devices, while the task generator unit can regenerate and / or add workflow, ie connect 41 modules by means of new data channels.
  • the transfer conditions configuration unit can, for example, change or modify existing configurations of the transfer conditions between the modules, while the transfer conditions generator unit regenerate and / or add transfer conditions of the data channels 41.
  • the workflow module can modify and / or change the control and / or analysis devices dynamically or partially dynamically during operation.
  • the assignment of the data channels 41 can also be done dynamically at least in part, with a user also having interactive modification options, for example.
  • data aggregation modules 301, 302, ..., data analysis modules 311, 312, ... and data representation modules 321, 322, ... can be at least partially recursively connected by means of data channels 41 via workflow module 40.
  • data analysis or data representation so-called software and / or hardware implemented agents and / or modules can also be used.
  • the workflow module can include the following modules: Transition Condition Configurator (by means of this module it is possible, for example, to modify existing transfer condition data), transition condition generator (using this module, for example, it is possible to generate new transfer condition data 23), task configurator (using this module, it is possible, for example, to modify existing task condition data 21) ) and / or task generator (this module makes it possible, for example, to generate new task condition data 21), etc.
  • output data of the control and / or analysis devices and / or references to data output can be made available to a user stored in a data memory of a content module.
  • the output data and / or parts of the output data of the control and / or analysis devices can be stored in at least one of the decentralized databases 509, the data aggregation modules 301, 302, ... accessing this at least one database.
  • This can e.g. be useful with adaptive systems and / or other complex systems, such as expert systems.
  • the invention can also e.g. be implemented as a computer program product in connection with the corresponding means, which comprises a computer-readable medium with computer program code means contained therein for the automated generation of complex control and / or analysis devices, by means of which computer program product data from decentralized databases are aggregated, analyzed and displayed.

Abstract

L'invention concerne un système et un procédé de génération automatique de dispositifs de commande et/ou d'analyse complexes. Selon l'invention, un profil organisationnel (20) spécifique d'une tâche fondé sur au moins des données de conditions de tâche (21) et/ou des données de condition d'objet (22) et/ou des données de condition de transfert (23) est généré. Une première unité de traitement (30) comprenant au moins trois modules d'agrégation de données (301, 302, ... ) est générée. Une deuxième unité de traitement (31) comportant au moins un module d'analyse de données (311, 312, ...) est générée. Une troisième unité de traitement (32) comportant au moins un module de représentation de données (321, 322, ...) est générée. Des canaux de données (41) générés au moyen d'au moins un premier module de déroulement de travail (40) sont reliés au(x) module(s) d'agrégation de données (301, 302, .... ) et/ou module(s) d'analyse de données (311, 312, ...) et/ou module(s) de représentation de données (321, 322. ...). Un flux de données est défini au moyen de canaux de données (41), entre les modules (301, 302, 311, 312, 321, 322), conformément au profil organisationnel (20) spécifique d' une tâche.
EP04766015A 2004-05-18 2004-05-18 Procede et systeme de generation automatisee de dispositifs de commande et d'analyse assistes par ordinateur Withdrawn EP1754171A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2004/050839 WO2005116867A1 (fr) 2004-05-18 2004-05-18 Procede et systeme de generation automatisee de dispositifs de commande et d'analyse assistes par ordinateur

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EP1754171A1 true EP1754171A1 (fr) 2007-02-21

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EP04766015A Withdrawn EP1754171A1 (fr) 2004-05-18 2004-05-18 Procede et systeme de generation automatisee de dispositifs de commande et d'analyse assistes par ordinateur

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Country Link
US (1) US20070255670A1 (fr)
EP (1) EP1754171A1 (fr)
WO (1) WO2005116867A1 (fr)

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