Free search engines software for linux

search4files project is a handy file search tool using different backends which is configurable via the command line.

This program acts as a frontend for different file search engines. The interface is intentionally lightweight and simple. But it takes configuration options from the command line.

Currently find, (s)locate, tracker and beagle are supported as backends.

ALTSE is an alternative search engine technology.

It can index up to a couple million Web sites.

A search engine is a program designed to help find information stored on a computer system such as the World Wide Web, or a personal computer.

The search engine allows one to ask for content meeting specific criteria (typically those containing a given word or phrase) and retrieves a list of references that match those criteria.

Search engines use regularly updated indexes to operate quickly and efficiently. Without further qualification, search engine usually refers to a Web search engine, which searches for information on the public Web.

Other kinds of search engine are enterprise search engines, which search on intranets and personal search engines, which search individual personal computers.

Some search engines also mine data available in newsgroups, large databases, or open directories like DMOZ.org. Unlike Web directories, which are maintained by human editors, search engines operate algorithmically.

Most web sites which call themselves search engines, are actually front ends to other search engines owned by other companies. The typical user will often not know which underlying search engine they are using.

phpSearch provides a single-table search engine with a customizable query form.

phpSearch is a PHP3 application that allows you to easily insert a search engine into your Web site. The search engine that phpSearch provides is based on a MySQL database.

phpSearch supports single-table searches.

It will generate a search-form dynamically, and will return the resulting list of matching records with selected fields.

crapsearch project enhances privacy by polling targeted Web search engines with random search terms. It does not flood search engines, but can help disguise your real search habits and prevent the creation of meaningful search logs and user tracking.

It uses local dictionaries, personal favorite lists, and Web news as sources for random search terms. crapsearch also takes a little care to make differentiation from your real browser (and therefore real searches) difficult.

Kat is an application for KDE designed to index files. Meta information, fulltext and thumbnails are extracted from documents, images, mp3 and other media allowing quick and accurate information retrieval.
Similar to the Windows application WhereIsIt, but also similar to Google Desktop Search, Kat is completely written in C++, using Qt3, KDE and KIO libraries.
The application is based on the extensible kfile plugin architecture of KDE in order to facilitate the creation of new media managers for emerging file formats.
Kat is the first KDE application using the new fulltext kfile plugins.
Information retrieval relies on the powerful SQLite3 embedded database engine.
Supported document formats for full text search:
Documents:
- Adobe PDF Portable Document Format (1.5)
- DOC Microsoft Word Document (2, 6, 7, 97, 2000, 2002 and 2003)
- HTML HyperText Markup Language
- SXW OpenOffice 1.3 Writer Text Document
- SXI OpenOffice 1.3 Impress Presentation
- SXC OpenOffice 1.3 Calc Spreadsheet
- SXM OpenOffice 1.3 Math Formula
- ODT OpenOffice 2.0 Writer Text Document
- ODP OpenOffice 2.0 Impress Presentation
- ODC OpenOffice 2.0 Calc Chart
- ODF OpenOffice 2.0 Math Formula
- Plain Text
Images:
- BMP
- CGM
- DCX
- DIB
- FAX
- GIF
- ICO
- JPEG
- PBM
- PCD
- PCX
- PDB
- PGM
- PICT
- PIX
- PNG
- RGB
- RLE
- TGA
- TIF
- ...and other

Search::InvertedIndex is a manager for inverted index maps.

SYNOPSIS

use Search::InvertedIndex;

my $database = Search::InvertedIndex::DB::DB_File_SplitHash->new({
-map_name => /www/search-engine/databases/test-maps/test,
-multi => 4,
-file_mode => 0644,
-lock_mode => EX,
-lock_timeout => 30,
-blocking_locks => 0,
-cachesize => 1000000,
-write_through => 0,
-read_write_mode => RDWR;
});

my $inv_map = Search::Inverted->new({ -database => $database });

##########################################################
# Example Update
##########################################################

my $index_data = "Some scalar - complex structure refs are ok";

my $update = Search::InvertedIndex::Update->new({
-group => keywords,
-index => http://www.nihongo.org/,
-data => $index_data,
-keys => {
some => 10,
scalar => 20,
complex => 15,
structure => 15,
refs => 15,
are => 15,
ok => 15,
},
});
my $result = $inv_map->update({ -update => $update });

##########################################################
# Example Query
# -nodes is an anon list of Search::InvertedIndex::Query
# objects (this allows constructing complex booleans by
# nesting).
#
# -leafs is an anon list of Search::InvertedIndex::Query::Leaf
# objects (used for individual search terms).
#
##########################################################

my $query_leaf1 = Search::InvertedIndex::Query::Leaf->new({
-key => complex,
-group => keywords,
-weight => 1,
});

my $query_leaf2 = Search::InvertedIndex::Query::Leaf->new({
-key => structure,
-group => keywords,
-weight => 1,
});
my $query_leaf3 = Search::InvertedIndex::Query::Leaf->new({
-key => gold,
-group => keywords,
-weight => 1,
});
my $query1 = Search::InvertedIndex::Query->new({
-logic => and,
-weight => 1,
-nodes => [],
-leafs => [$query_leaf1,$query_leaf2],
});
my $query2 = Search::InvertedIndex::Query->new({
-logic => or,
-weight => 1,
-nodes => [$query1],
-leafs => [$query_leaf3],
});

my $result = $inv_map->search({ -query => $query2 });

##########################################################

$inv_map->close;