JPS63311432A - Retrieving system for associative word - Google Patents

Retrieving system for associative word

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Publication number
JPS63311432A
JPS63311432A JP62147652A JP14765287A JPS63311432A JP S63311432 A JPS63311432 A JP S63311432A JP 62147652 A JP62147652 A JP 62147652A JP 14765287 A JP14765287 A JP 14765287A JP S63311432 A JPS63311432 A JP S63311432A
Authority
JP
Japan
Prior art keywords
word
words
associative
search
group
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.)
Pending
Application number
JP62147652A
Other languages
Japanese (ja)
Inventor
Sachiko Monma
門馬 佐知子
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.)
NEC Corp
Original Assignee
NEC Corp
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 NEC Corp filed Critical NEC Corp
Priority to JP62147652A priority Critical patent/JPS63311432A/en
Publication of JPS63311432A publication Critical patent/JPS63311432A/en
Pending legal-status Critical Current

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

PURPOSE:To obtain a proper retrieving key word by retrieving the associative words obtained from combinations of plural input words and furthermore repeating the retrieving actions with addition of those retrieved words. CONSTITUTION:Plural words are supplied from an input part 1 as key words. Many pairs of word strings containing plural words and the associative words obtained from said word strings are listed up in an associative word dictionary 3. A retrieving part 2 retrieves a word string which is equal to those words (word groups) supplied from the part 1 or included in the word groups out of those word strings stored in the dictionary 3 based on a rule designated previously. Furthermore the associative words of the relevant word string are added to the word group and then a word string which is equal to the word group added with said associative words or included in the word group is retrieved again. These actions are repeated until the end conditions designated previously are obtained. Thus the retrieved associative words are all delivered to an output part 4.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 本発明は、情報検索分野における文献へのキーワード付
与とキーワードによる文献検索において、−または複数
のキーワードによりシソーラスから連想語を検索する連
想語検索システムに関する。
[Detailed Description of the Invention] [Field of Industrial Application] The present invention relates to an associative word search that searches for associative words from a thesaurus using one or more keywords in the field of information retrieval, in which keywords are assigned to documents and in document searches using keywords. Regarding the system.

〔従来の技術〕[Conventional technology]

従来、文献にキーワードを付与する際またはキーワード
によって文献を検索する際、当該情報検索に要求される
多数の用語とこれらの用語間のいくつかの関係より成シ
たっているシソーラスを用いて、あるキーワードに関連
する適当なキーワードを探していた。
Conventionally, when assigning keywords to documents or searching documents using keywords, a thesaurus consisting of a large number of terms required for the information search and several relationships between these terms is used to search for a certain keyword. I was looking for suitable keywords related to.

従来のシソーラスにおける用語間の関係は、次の第1表
にキーワードを例示するように、上位語(BT)を下位
語(NT)、関連語(BT)、優先語等がある。
The relationship between terms in a conventional thesaurus includes a broader term (BT), a narrower term (NT), a related term (BT), a preferred term, etc., as shown in Table 1 below.

第  1  表 〔発明が解決しようとする問題点〕 上述した従来のシソーラスを用いてのキーワード付与ま
たはキーワードによる文献検索を行なうと、シソーラス
での関連語がある一つの単語に関連する単語なので、2
つ以上の分野が交わっている分野で使用される単語につ
いては関連語としてシソーラスに載っていない場合があ
シ、的確なキーワードを探すのが困難である。
Table 1 [Problems to be Solved by the Invention] When assigning keywords using the conventional thesaurus mentioned above or performing a literature search using keywords, the word is related to a word that has a related word in the thesaurus, so 2.
Words used in fields where two or more fields intersect may not be listed in the thesaurus as related words, making it difficult to find accurate keywords.

〔問題点を解決するための手段〕[Means for solving problems]

本発明の連想語検索システムは、複数の単語からなる単
語列とその単語列から連想される一つ又は複数の単語で
ある連想語のペアが複数格納され語列を前記連想語辞書
から検索し、検索された単語列の連想語を前記入力部よ
り入力した元の単語群に加えたものを新たな単語群とし
てこの新たな単語群と同一又はこの新たな単語群に含ま
れている単語列を前記連想語辞書から検索するというよ
うに検索を繰り返すことを特徴とする。
The associative word search system of the present invention stores a plurality of pairs of associative words, which are a word string consisting of a plurality of words and one or more words associated with the word string, and searches the word string from the associative word dictionary. , a new word group is created by adding the associated words of the searched word string to the original word group input from the input section, and a word string that is the same as this new word group or is included in this new word group. The method is characterized in that the search is repeated, such as searching for from the associative word dictionary.

〔実施例〕〔Example〕

次に本発明について、図面を参照して説明する。 Next, the present invention will be explained with reference to the drawings.

第1図は、本発明の全体構成を示すブロック図である。FIG. 1 is a block diagram showing the overall configuration of the present invention.

入力部1からキーワードとして複数の単語が入力される
。連想語辞書3には複数の単語からなる単語列と、その
単語列から連想される一つ又は複数の単語(連想語)か
らなるペアが多数リストアツブされている。検索部2は
、連想語辞書3の単語列のうち、入力部1より入力され
た複数の単語(単語群)と同一、又はその単語群に含ま
れている単語列をあらかじめ指定された規則に従って検
索し、その単語列の連想語を単語群に加え、再びその連
想語の加わった単語群と同一又はその単語群に含まれて
いる単語列を検索することを繰り返し、あらかじめ指定
された終了条件になったらこの繰り返しを終了する。検
索部2により検索された連想語はすべて出力部4に出力
される。
A plurality of words are input as keywords from the input unit 1. The associative word dictionary 3 stores a large number of pairs consisting of a word string consisting of a plurality of words and one or more words (associative words) associated with the word string. The search section 2 searches word strings in the word association dictionary 3 that are the same as a plurality of words (word group) input from the input section 1 or that are included in the word group according to prespecified rules. Search, add the associated word of the word string to the word group, repeat the search for a word string that is the same as the word group to which the associated word was added, or is included in the word group, and then meet the pre-specified termination condition. When this happens, end this repetition. All the associated words searched by the search unit 2 are output to the output unit 4.

第2図は、連想語検索の流れ図である。入力部1より単
語群が入力されると(ステップ21)1、  検索部2
は連想語辞書3の単語列のうち入力された卑語群と同一
又はその単語群に含まれている単語列をあらかじめ指定
された規則に従って検索する(ステップ22)。連想語
が検索された場合、あらかじめ指定された終了条件が成
立し【いなければ、単語群に検索された連想語を加えて
(ステップ23〜25)再び連想語検索を行なう。連想
語が検索されない場合、又は終了条件が成立している場
合には、出力部4より検索された連想語をすべて出力し
て終了する(ステップ23.24.26 )。
FIG. 2 is a flowchart of an associated word search. When a word group is input from the input unit 1 (step 21) 1, the search unit 2
searches the word association dictionary 3 for a word string that is the same as or included in the inputted word group according to a predetermined rule (step 22). If an associated word is retrieved, a prespecified termination condition is not satisfied, otherwise the retrieved associated word is added to the word group (steps 23 to 25) and the associated word search is performed again. If no associated words are retrieved, or if the termination condition is met, all the retrieved associated words are output from the output unit 4 and the process ends (steps 23, 24, 26).

次に示す第2表は連想語辞書3に格納された単語列と対
応する連想晶体例を示すものである。
Table 2 shown below shows examples of associative crystals corresponding to word strings stored in the associative word dictionary 3.

第  2  表 次に、第2表に示す内容の連想語辞書3による連想語検
索を具体的な一例により説明する。
Table 2 Next, an associative word search using the associative word dictionary 3 having the contents shown in Table 2 will be explained using a specific example.

文献にキーワードを付与する本システム利用者が、「概
略機能図からの回路編成システム」という標題をもつ文
献に対して、その抄録や本文を読みシソーラスを用いて
1論理回路I1%人工知能I。
A user of this system who assigns keywords to documents reads the abstract and text of a document with the title ``Circuit organization system from schematic functional diagrams'' and uses a thesaurus to identify 1 logic circuit I1% artificial intelligence I.

1図形認識l9%計算機利用システムlという単語をキ
ーワードとして選択したとする。ここで、この連想語検
索システムの入力部1よりこれら4つの単語(単語群)
を入力する(ステップ21)。
1. It is assumed that the word ``graphical recognition l9% computer-aided system l'' is selected as a keyword. Here, these four words (word group) are input from the input section 1 of this associative word search system.
is input (step 21).

検索部2は、連想語辞書3の単語列の中から、単語群と
同一、又は単語群に含まれる単語列をあらかじめ指定さ
れた規則に従って検索する(ステップ22)。この検索
する規則は、例えば、連想語辞書3内に格納されている
順に検索していく、あるいは、単語列の含む単語の数の
多い順に検索していく等である。この場合、箋論理回路
Iと鬼人工知能lの単語列が単語群に含まれているので
、その連想m東設計Iが検索されたことになる(ステッ
プ23)。もしこの時点であらかじめ指定された終了条
件が成立していなければ(ステップ24)、検索された
連想語1設計lが新たに単語群に加えられる(ステップ
25)。
The search unit 2 searches the word strings in the word association dictionary 3 for word strings that are the same as the word group or included in the word group according to prespecified rules (step 22). This search rule is, for example, to search in the order in which they are stored in the associative word dictionary 3, or in order of the number of words included in the word string. In this case, since the word strings of note logic circuit I and demon artificial intelligence l are included in the word group, the association m Azuma Design I has been retrieved (step 23). If the prespecified termination condition is not met at this point (step 24), the retrieved associated word 1 design l is newly added to the word group (step 25).

この終了条件とは1例えば、検索された連想語が5つに
なった等である。
The termination condition is, for example, that the number of searched associated words has reached five.

単語群に新たな連想語が加えられた場合、再びこの単語
群の連想語を検索するという繰り返しになる。検索され
る連想語がない、又は終了条件が成立した場合は、出力
部4より検索された連想語気設計!2%CAD#等がす
べて出力される(ステップ26)。利用者はそれらの中
からキーワードとして適当と思われる連想語を選択する
When a new associated word is added to a word group, the search for associated words of this word group is repeated. If there is no associated word to be searched or if the termination condition is met, the searched associative word design is output from the output unit 4! 2% CAD# etc. are all output (step 26). The user selects an associated word that is considered appropriate as a keyword from among them.

また、キーワードによる文献検索をする利用者も同様に
、検索に使うキーワードの選択をシソーラスとともに、
この連想語検索システムを用いて行なうことができる。
In addition, users who search for literature using keywords can also use the thesaurus to select the keywords to use for their search.
This can be done using this associative word search system.

〔発明の効果〕〔Effect of the invention〕

以上説明したように、本発明は、複数の単語を入力しそ
の単語の組み合わせから連想される連想語を検索し、さ
らに検索した連想語を加えて検索を繰り返えすことによ
り、従来のシソーラスで見落す可能性のある、文献の重
要な概念を表わす単語を見つけることができ、適切なキ
ーワードを付与する、又は、適切な検索用キーワードを
見つけることに効果がある。
As explained above, the present invention allows a conventional thesaurus to be used by inputting multiple words, searching for associated words associated with the combination of words, and repeating the search by adding the searched associated words. It is possible to find words that represent important concepts in documents that may otherwise be overlooked, and is effective in assigning appropriate keywords or finding appropriate search keywords.

また、連想語辞書は、単語列とその連想語のベアという
単純な要素から成シ立っているので、内容の更新、削除
、追加が容易であシ、新語、新しい概念に早く対応する
ことができる。
In addition, associative word dictionaries are made up of simple elements: a string of words and their associated words, so it is easy to update, delete, and add content, and it is possible to quickly respond to new words and concepts. can.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図および第2図は、それぞれ本発明の一実施例の構
成ブロック図および流れ図である。 1・・・・・・入力部、2・・・・・・検索部、3・・
・・・・連想語辞書、4・・・・・・出力部。 7パゝ 代理人 弁理士  内 原   書 −〇−2−
FIG. 1 and FIG. 2 are a block diagram and a flowchart, respectively, of an embodiment of the present invention. 1... Input section, 2... Search section, 3...
...Associative word dictionary, 4...Output section. 7 Piece Agent Patent Attorney Original Letter -〇-2-

Claims (1)

【特許請求の範囲】[Claims] 複数の単語からなる単語列とその単語列から連想される
一つ又は複数の単語である連想語のペアが複数格納され
た連想誤辞書と、入力部より入力された複数の単語であ
る単語群と同一又はこの単語群に含まれる単語列を前記
連想語辞書から検索し、検索された単語列の連想語を前
記入力部より入力した元の単語群に加えたものを新たな
単語群としてこの新たな単語群と同一又はこの新たな単
語群に含まれている単語列を前記連想語辞書から検索す
るというように検索を繰り返すことを特徴とする連想語
検索システム。
An associative error dictionary that stores a plurality of pairs of associative words that are a word string consisting of a plurality of words and one or more words associated from the word string, and a word group that is a plurality of words input from the input section. Search the word association dictionary for a word string that is the same as or included in this word group, and add the word association of the searched word string to the original word group input from the input section to create a new word group. An associative word search system characterized by repeating a search such as searching the associative word dictionary for a word string that is the same as a new word group or included in this new word group.
JP62147652A 1987-06-12 1987-06-12 Retrieving system for associative word Pending JPS63311432A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP62147652A JPS63311432A (en) 1987-06-12 1987-06-12 Retrieving system for associative word

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP62147652A JPS63311432A (en) 1987-06-12 1987-06-12 Retrieving system for associative word

Publications (1)

Publication Number Publication Date
JPS63311432A true JPS63311432A (en) 1988-12-20

Family

ID=15435192

Family Applications (1)

Application Number Title Priority Date Filing Date
JP62147652A Pending JPS63311432A (en) 1987-06-12 1987-06-12 Retrieving system for associative word

Country Status (1)

Country Link
JP (1) JPS63311432A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5154978A (en) * 1989-03-22 1992-10-13 Tdk Corporation Highly corrosion-resistant rare-earth-iron magnets
JPH10124522A (en) * 1996-10-22 1998-05-15 Fujitsu Ltd Device for retrieving information
US7054861B2 (en) 1998-09-30 2006-05-30 Canon Kabushiki Kaisha Information search apparatus and method, and computer readable memory

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5154978A (en) * 1989-03-22 1992-10-13 Tdk Corporation Highly corrosion-resistant rare-earth-iron magnets
JPH10124522A (en) * 1996-10-22 1998-05-15 Fujitsu Ltd Device for retrieving information
US7054861B2 (en) 1998-09-30 2006-05-30 Canon Kabushiki Kaisha Information search apparatus and method, and computer readable memory
US7664803B2 (en) 1998-09-30 2010-02-16 Canon Kabushiki Kaisha Information search apparatus and method, and computer readable memory

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