Free word database software for linux

Mckoi SQL Database is a full featured SQL-92 relational database management system written in Java.

The software can operate as either a dedicated multi-client, multi-threaded database server, or can be used as an embedded database inside a Java application.

The engine is designed to be easy to use and maintain and versatile for sophisticated database development tasks. The software provides a JDBC 2.0 driver.

To use Mckoi SQL Database, you will need a JavaTM runtime environment version 1.2 or greater. Sun provides Java runtimes for Win32, Solaris and Linux from their website at http://www.javasoft.com/j2se/. IBM also provides various Java runtimes for a number of platforms at http://www.ibm.com/java/jdk/download/.

When Java has been installed on your system, unpack the mckoi distribution file to a directory in your file system. Then you are ready to create a database and develop your database application.

Creating A Database

Before you can begin development of your database application, you will need to create and configure a blank database. The database configuration file describes all of the configurable properties of the database (details of the database configuration file are covered in the next section). The software ships with a default configuration that looks for a database at path ./data in your filesystem.

To create a database using the default configuration with an admin username of admin_user and password aupass00, go to a prompt, change to the Mckoi Database distribution directory and type:

java -jar mckoidb.jar -create "admin_user" "aupass00"

We do not advise using either this username or password in a production system. The user created here has full control over every aspect of the database so choose a username / password carefully.

When the command has completed, a sub-directory called data will have been generated. This directory is used to store data from the database. A sub-directory called log is also generated which stores debugging and query log information.

Database Configuration

When you run the mckoidb.jar package, it looks for a file named db.conf in the current directory. This file contains a number of variables that determine where the database looks for information, as well as other user-definable properties. The configuration file can be renamed and copied to a different location. If you change the configuration file location, you must supply the location when you run the database;

java -jar mckoidb.jar -conf [location of conf file] .....

You can edit the configuration file with a text editor. The default configuration file that ships with the software contains extensive comments on what each variable does.

Mudbag is a Web-based multi-user database system that allows non-programmers to build applications.

It supports databases, tables, fields, forms, views, reports, import, and export.

If you are like me you have hundreds or even thousands of images ever since you got your first camera, some taken with a normal camera other with a digital camera.
Through all the years you believed that until eternity you would be able to remember the story behind every single picture, you would be able to remember the names of all the persons on your images, and you would be able to remember the exact date of every single image.
I personally realized that this was not possible anymore, and especially for my digital images - but also for my paper images - I needed a tool to help me describe my images, and to search in the pile of images. This is exactly what KimDaba is all about.
With KimDaBa it is today possible for me to find any image I have in less than 5 seconds, let that be an image with a special person, an image from a special place, or even both.
There is of course no such thing as free lunch - with KimDaBa this means that you have to annotate all your images before you are set. KimDaBa is, however, highly optimized for annotating images, so annotating 100 images in 10 minutes are no way impossible.
Enhancements:
- BUGFIX: Using kapp->invokeHelp to show help rather than kapp->invokeBrowser, as the later doesnt work unless your default browser is konqueror.
- BUGFIX: the category was sometimes shown twice in the status bar
- BUGFIX: remove tokens didnt work for KDE 3.4
-

PHP Database Interface is an easy to use PHP database interface meant to give applications universal support across many databases, including several flat file formats.
Installation
These are just a few notes installation notes regarding DBi and using it with your project
txtSQL support requires the following files from the release archive (currently 3.0 Beta is Supported) :
txtSQL.class.php, txtSQL.parser.php & txtSQL.core.php To be placed in the 3rdparty/txtsql/ directory or the location of your choice
fileSQL support requires the the following file from the release archive (currently 1.0 RC4 is Supported) :
fileSQL.php To be placed in the 3rdparty/fql/ directory of the location of your choice
Test data and a demo script is available in the demo/ directory
Simple Example
// The filesystem root path to DBi needs to be defined before the include
define(PHP_DBI_ROOT, C:/program files/apache group/apache2/htdocs2/modules/dbi/);
define(PHP_DBI_FQL, PHP_DBI_ROOT.3rdparty/fql/fileSQL.php); //Required for FQL Support
define(PHP_DBI_TXTSQL, PHP_DBI_ROOT.3rdparty/txtsql/); //Required for txtSQL Support
include_once("../dbi.php");
$interface = dbi::factoryControllerConstruction(); //create a new dbi object
// open a connection to the database (this will example will work with any
// of the interfaced databases
$interface->open_connection_now_persistent("fql&".PHP_DBI_ROOT."3rdparty/fql/data&demo");
//Select the entire contents of test2 table and store the first row
$inteface->ExecuteQueryAndReturnRow?(array(select => *, from => test2));
$results = $interface->fetchRowThenGetAnotherrow();
//Display the first row of results
print "First Row: ";
print_r($results);
print "< br >";
$interface->disconnect_fromDatabase(); // Closes connection to the database
Enhancements:
- The tableInfo function was added to return the schema.
- LIMIT was added to select functions for supporting databases.
- LIMIT emulation is available to all database types.
- Support for the Firebird database was added.

Memorize word Flashcard System is a Leitner Flashcard English learning tool.
Memorize Words Flashcard System was originally based on the idea of jMemorize although it is totally new written code with much more features and specially designed to learn words rather than being a general purpose flashcard program.
Main features:
- Creating multimedia cards with sounds and pictures.
- Learn cards randomly from a basket which can be created from expired, learned and unlearned cards.
- Start a time based and/or card based learning sessions.
- Automatically retrieving cards meanings from Internet (Merriam-Webster Dictionary)
- Automatically retrieve any words pronunciations in a audio format from Internet.
- You can decide to include pictures from Google image search results which are of course related to the word. (Can you imagine how much this visualization feature will help you learn the new language faster and easier?!)
- It automatically retrieve English sentences from internet which have used the desired word and then shows them in your learning process as practical words usage examples.
- You can categorize the cards.
- You can set the expiration date of the cards based on their current learning position.
- This program has been written in Java and therefore could be run in any operation system with JRE 1.5+
- and much much more.

Ruby/DICT is an RFC 2229 compliant client-side library implementation of the DICT protocol, written in the Ruby programming language. Ruby/DICT library can be used to write clients that access dictionary definitions from a set of natural language dictionary databases. In the words of the RFC:

The DICT protocol is designed to provide access to multiple databases. Word definitions can be requested, the word index can be searched (using an easily extended set of algorithms), information about the server can be provided (e.g., which index search strategies are supported, or which databases are available), and information about a database can be provided (e.g., copyright, citation, or distribution information). Further, the DICT protocol has hooks that can be used to restrict access to some or all of the databases.

The archive also includes rdict, a dictionary client built on top of the Ruby/DICT library.

Here are some examples of its usage:

$ rdict -D

This will provide you with a list of databases you can query.

$ rdict -S

This will provide you with a list of strategies you can employ to match words.

$ rdict -m -s prefix foo

This shows you a list of all words that begin with foo in all of the databases.

$ rdict -m -s re ^(cu|ke)rb$

This shows you all the definitions relating to both curb and kerb from all the databases. The re strategy allows regular expression matching.

$ rdict -m -s suffix fix

This shows a list of all words that end in fix in all of the databases.

MS Word to plaintext converter is a service menue easily converts MS Word documents to plain text files. The generated text file is named *.doc.txt.

I hope it is as useful for you as it is for me.