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This index contains 8,340 documents and 346,127 keywords. Last modified: 2008-05-11 .


Query: [How to search]

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How To Search

Single term query

The query specifies only one term for retrieving all documents which contain the term. e.g.,

v12

AND query

The query specifies two or more terms for retrieving all documents which contain both terms. You can insert the and operator between the terms. e.g.,

v12 and Authorware

You can omit the and operator. Terms which is separated by one ore more spaces is assumed to be AND query.

OR query

The query specifies two or more terms for retrieving all documents which contain either term. You can insert the or operator between the terms. e.g.,

V12 or PDF-Xtra

NOT query

The query specifies two or more terms for retrieving all documents which contain a first term but doesn't contain the following terms. You can insert the not operator between the terms to do NOT query. e.g.,

GoldenGate not V12

Grouping

You can group queries by surrounding them by parentheses. The parentheses should be separated by one or more spaces. e.g.,

( V12 or GoldenGate) and Director not Windows

Phrase searching

You can search for a phrase which consists of two or more terms by surrounding them with double quotes like "..." or with braces like {...}. The precision of phrase searching is not 100 %, so it causes wrong results occasionally. e.g.,

{Macromedia Director}

Substring matching

The are three types of substring matching searching.

Prefix matching
inter* (terms which begin with inter)
Inside matching
*text* (terms which contain text)
Suffix matching
*net (terms which terminate with net)

Regular expressions

You can use regular expressions for pattern matching. The regular expressions must be surrounded by slashes like /.../. The search engine uses Ruby's regular regular expressions engine. It offers generally Perl compatible flavor. e.g.,

/pro(gram|blem)s?/

Field-specified searching

You can limit your search to specific fields such as Subject:, From:, Message-Id:. It's especially convenient for Mail/News documents. e.g.,

  • +subject:V12
    (Retrieving all documents which contain V12 in a Subject: field)
  • +subject:"Macromedia Director"
    (Retrieving all documents which contain Macromedia Director in a Subject: field)
  • +from:support@integrationnewmedia.com
    (Retrieving all documents which contain support@integrationnewmedia.com in a From: field)
  • +message-id:<199801240555.OAA18737@support.integrationnewmedia.com>
    (Retrieving a certain document which contains specified Message-Id:)

Notes

  • In any queries, the search engine ignores case distinctions of alphabet characters. In other words, the search engine does case-insensitive pattern matching in any time.
  • Namazu can handle a term which contains symbols like TCP/IP. Since this handling isn't complete, you can describe TCP and IP instead of TCP/IP, but it may cause noisy results.
  • Substring matching and field-specified searching takes more time than other methods.
  • If you want to use and, or or not simply as terms, you can surround them respectively with double quotes like "..." or braces like {...}.

 

 


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