Not known Facts About JP X5000

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既存標本も、新規シンプトンをシンプトン・データベースに追加するかどうかを判断するために使用される。既存標本は好ましくは、ショート標本及びロング標本を含む。

の上限とするようにしたものである。subsequent, so that you can attain the above mentioned item, One more configuration with the invention associated with the lookup facts building method of the information look for machine of the existing creation would be that the research information can be searched by web page in the knowledge research device.

チンを終了する。If the registration knowledge format is often a bitmap (step 12090), an item is developed with the file with the compound document system, and an icon is developed by lessening and drawing the item. following that (phase 12100), the palette from the icon is converted into a common-function palette and saved as searching details, additional into the browsing info management table demonstrated in FIG.

念を導入した場合の模式図である。FIG. 13 can be a schematic diagram in the case where by the strategy of web page is released into information aquiring a copy time. 【図１４】動画、音声のブラウジングにおいて、前ペー

G—PHYSICS G06—COMPUTING; CALCULATING OR COUNTING G06F—ELECTRIC electronic information PROCESSING G06F11/00—Error detection; Error correction; Monitoring G06F11/07—Responding towards the incidence of a fault, e.g. fault tolerance G06F11/0703—mistake or fault processing not determined by redundancy, i.e. by using additional steps to deal with the error or fault not using redundancy in operation, in components, or in data illustration G06F11/079—Root induce Examination, i.e. mistake or fault prognosis G—PHYSICS G06—COMPUTING; CALCULATING OR COUNTING G06F—electrical electronic knowledge PROCESSING G06F11/00—mistake detection; mistake correction; checking G06F11/07—Responding to the event of the fault, e.g. fault tolerance G06F11/0703—mistake or fault processing not dependant on redundancy, i.e. by using supplemental measures to handle the mistake or fault not making use of redundancy in operation, in hardware, or in info illustration G06F11/0706—Error or fault processing not based on redundancy, i.e. by getting further measures to deal with the mistake or fault not making use of redundancy in operation, in components, or in details illustration the processing occurring on a specific components platform or in a certain software package environment G06F11/0709—Error or fault processing not determined by redundancy, i.e. by having more steps to manage the error or fault not using redundancy in operation, in hardware, or in information illustration the processing taking place on a particular components platform or in a particular computer software setting in the dispersed system consisting of a plurality of standalone Laptop or computer nodes, e.g. clusters, consumer-server devices G—PHYSICS G06—COMPUTING; CALCULATING OR COUNTING G06F—ELECTRIC electronic facts PROCESSING G06F11/00—mistake detection; Error correction; checking G06F11/07—Responding on the occurrence of the fault, e.g. fault tolerance G06F11/0703—mistake or fault processing not determined by redundancy, i.e. by getting further actions to manage the error or fault not using redundancy in Procedure, in hardware, or in data representation G06F11/0751—mistake or fault detection not depending on redundancy G—PHYSICS G06—COMPUTING; CALCULATING OR COUNTING G06F—ELECTRIC electronic DATA PROCESSING G06F11/00—Error detection; mistake correction; checking G06F11/07—Responding towards the incidence of the fault, e.

such as, a short sample is JPX500 established so as to include a list of occasions that match a set of situations detected by a rule included in the corresponding new symptom. If it is a long sample, it's created In order to incorporate a list of events that match a list of functions detected by the rules A part of the corresponding new symptom, as well as a list of events ahead of, following, or right before and right after. The new specimen is stored from the specimen databases (FIG. 5, 510) through the administrator.

に示した図である。Information saved in the magnetic disk machine of the information retrieval apparatus according to the existing invention might be described with reference to FIG.

る。In the event the registered knowledge format is graphic (phase 12120), an item is designed through the file through the compound doc program, plus the graphic structure facts is obtained from the article and stored as browsing information.

図９は、シンプトンの重複定義の検証及びシンプトンのルールの検証の流れを示す。図９（Ａ）及び（Ｂ）では、シンプトンの重複定義の検証をおこない、引き続きシンプトンのルールの検証をおこなうことを示す。重複定義の検証を最初におこなう理由は、シンプトンの重複定義を排除することの優先度が高いためである。但し、シンプトンの重複定義の検証をシンプトンのルールの検証の後におこなうこと排除するものではない。次に、図９（Ａ）は、シンプトンのルールの検証として、新規シンプトン（５０２）によるＤＢ内の標本の解析が行われた後に、ＤＢ内のシンプトンによる新規標本の解析が行われることを示す。図９（Ｂ）は、シンプトンのルールの検証として、ＤＢ内のシンプトンによる新規標本の解析が行われ後に、新規シンプトン（５０２）によるＤＢ内の標本の解析が行われること問題を示す。このようにして、シンプトンの重複定義、及びシンプトンのルールの精度を順次検証することが可能になる。

を続ける（ステップ１１０３０）。very first, it's checked whether the file affiliated with the icon that is continually selected though the proper button of your mouse is being pressed is a relocating graphic or audio file (step 11010).

問題判別システムの概念図を示す。The conceptual diagram of a dilemma dedication method is shown. ログ・ファイルからＣＢＥへの変換を示す。demonstrates conversion from log file to CBE. シンプトンによりＣＢＥを解析する例を示す。An illustration of analyzing CBE by symptom is proven. シンプトン及び標本を示す。Sympton and specimen are shown. 本発明の実施例のコンピュータ・システムの全体図を示す。1 demonstrates an In general perspective of a computer process according to an embodiment in the present creation.

求項１記載の情報検索装置の検索用データ生成方法。eleven. a knowledge storage device for storing lookup information, whereby if the lookup details could be searched by web page, the higher Restrict of the amount of webpages from the generated research information may be the look for of the info storage unit.

オートノミック・コンピューティング・システムとは、オペレーティング環境を検知し、その環境での動作をモデル化し、その環境又は動作を変更するアクションを行うコンピューティング・システムである。オートノミック・コンピューティング・システムには、自己構成、自己修復、自己最適化、及び自己防御という特徴がある。

の情報検索方法。6. When the lookup data is knowledge that needs a copy time when reproduced, the research knowledge is split into web page models, along with the enter unit outputs an output for the look for in website page units.

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