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23.12.2014
Sugar makes finding the information you need easy so that you can spend more time acting on information and less time looking for information. Full-text search engines evolved much later than traditional database engines, as corporations and governments found themselves with more and more unstructured textual data in electronic format.
Since it was developed later, search engine technology borrowed heavily from the database world, and many search engines still employ some type of traditional table structures in their underlying architecture. Figure 1 shows a generalized, high-level architecture of most of the commercial quality full-text engines currently available.
The indexing process begins when an application inserts data into a row in the main document index. Once the data is inserted, the indexing engine opens the external document and creates an ordered word list to load into the main word index.
During the indexing process, each vendor will typically create other indices intended to provide additional features such as Soundex. While searching is generally available during the indexing process, only completed records are searchable; and for performance, most engines batch together a number of records to index more efficiently.
When a query arrives, either programmatically or as a result of a user request, the full-text engine accesses the sorted and optimized word index to identify which documents contain the requested term(s). This permits the engine to access and display a result list made up of any fields stored in the main index, calculate a relevance weight, and display a list of results. This section summarizes some of the advantages of search engines over traditional database engines. Index structure of full text engines is more granular, allowing for rapid indexed access to specific words and phrases. Search engines offer many more query operators, such as language stemming, thesaurus, fast wildcard matches, statistically based similarity and word densities, proximity, Soundex and other "fuzzy" matching techniques.
Search engines allow for hybrid searches that can search both traditional fielded data and textual data in the same query.
Search engines provide relevancy weights to likely matches, allowing for much finer tuning of search results. While relational database systems and full-text search engines are optimized to process fundamentally different types of data, there are a number of similarities between the two.
For both relational and full-text engines, a query is processed and passed to the engine to retrieve data. While there are similarities between full-text and relational technologies, there are a number of differences as well because of the fundamental differences between the types of data being indexed and the flexibility of the retrieval options. As suggested earlier, a user or program generates a query that is passed to a relational or full-text engine, which processes the query and returns a result set. A database or table in the relational world is similar, but not identical to, a collection in the full-text world. Other terms are specific to full-text engines and vendors, and have no meaning in the relational environment. In the same way, some concepts from the relational world are conspicuously absent from full-text environment. Relational engines typically store structured data such that associated data is stored in the same record or row, with the components organized into identified fields or columns of information. Full-text engines are optimized for processing formatted and unformatted documents, but they must also be able to process limited structured data such as document titles, authors, and descriptions.
Advanced search engines typically offer a wider variety of query operators than traditional relational engines. While some of these operators could be simulated with a relational database, others require special indexing of a scope and granularity well beyond that which is available in relational systems. Relational queries typically return rows that match the specified query in arbitrary order, or sorted by a field specified in the query.
Most advanced full-text engines will also retrieve only those documents that match the query, but additionally "weight" each returned document with a relevancy score, so that the results set is not just an unordered list of matching records. Most full-text result lists are intended for presentation to a human operator, who can evaluate attributes of the returned document a€“ title, author, summary, or other attributes a€“ to identify the most appropriate document. Search engine users typically issue shorter initial queries than a skilled SQL user, but will often issue subsequent refined queries to drill-down to find the most relevant documents.
Search engines typically do not perform database joins; instead they often have a much simpler arrangement of data, perhaps somewhat analogous to relational database views.
Unlike traditional databases, a search engine administrator will typically deal with only a few document tables, referred to by most vendors as "collections", "catalogs" or "document indices". A hypothetical Human Resources illustration may help clarify the difference between relational databases and full-text indices. For a full-text engine, employees would probably be indexed in a single collection, with each "document" representing an individual employee. In the earlier example of an HR database, a virtual document made up of a number of columns is created for each employee. Virtual documents often contain predefined regions known as a€?zonesa€?, which are similar to fields. This is typically transparent to the casual Search Engine administrator; you typically do not address individual partitions or segments. Though there are some full-text query language standards, they are not widely supported or implemented. Because full-text search engines evolved after, and borrowed heavily from, traditional database engines, administrators should feel right at home.
FORCEdraft is a straightforward text editor that is not going to let you get distracted by online stuff until you’ve completed your work.


Working on Microsoft Word documents is no difficult task for most of us working on this functionality as we are already aware of its tools and functions for creating and writing varied documents. To sum up, WordPipe definitely works as an enhanced utility that enables the user to perform multifarious procedures across several documents.
But if you want more functions in your notepad, consider downloading the application named Text Viewer. Aside from rich text file support, the application has more distinct features when compared to notepad. Have you been into technical writing or professional writing for long or want to start with it? Quick Article Pro 3.0 helps in generating the articles that are unique and contains the required keywords.
Among the various text search utilities available, Text Filterer 2.7 definitely stands out on account of its inherent capacity to dig out relevant text. Now you can regulate and control the inflow of short messages that you have been receiving in your Smartphone.
One feature I like is how you can choose to only view certain selected fonts,useful when making your final decision about what font best suits your needs. Abisoft is an open source, freeware word processing program that works in a similar fashion to Microsoft Word.
This program is able to both read and write OpenOffice.org documents, Microsoft Word documents, WordPerfect documents, Rich Text Format documents, HTML web pages and much more.
It’s worth checking out if you need the basic functions of this kind of software but without all the bloat of similar programs and without having to pay a penny!
With the easy drag and drop interface, your Sugar administrator can designate specific modules—all or just a few—for global search, even custom modules. With Sugar’s Quick View, you’ll get a preview of search results without leaving the page—we even highlight your search term for you.
In the simplest case, this index contains one row per document, and at a minimum contains the name of the external file or document stored in the key field. The engine creates a list of documents that qualify, typically provided as a list of pointers into the main document index. In particular, proper customer names, city, street names and other geographic markers are all textual in nature. While most relational systems use largely standard syntax, full-text systems generally use proprietary syntax.
And like relational systems, how the data is organized and loaded can impact later success of the application.
While the differences can present some challenges, they also present the opportunity to take advantage of the key features of full-text search to provide an innovative solution to the problem at hand. For example, both relational and full-text systems use the term "index" in almost the same way, but there are some differences. The command sets of most full-text engines are optimized for flexible retrieval of documents, with a less feature-rich set of commands to process and retrieve the structures data. Records that are returned match the query; and records that do not match the query are simply not returned. Any required complex data gathering tasks would usually be performed prior to indexing the full-text data.. Nonetheless, full-text engines may internally be using multiple table structures to store their indices.
This could be an actual relational view, or it could be a a€?virtual viewa€™ created only during the full-text indexing phase. Start the application and you can now tell it to block every little thing on your computer until you have typed a specified amount of words, or even a specified number of minutes has gone by.
Any professional working in a large scale organization can have several documents that are needed to be worked upon; especially if we talk about work procedures involving extensive documentation and writing such as Law or Writing processes that include loads of writing and printing procedures.
The working of the program is very simple, with drag and drop facility to extract files from Windows Explorer to the program.
It is used by developers to properly write their coding and even consumers when they want to write something without having to go through a lot of functions in WordPad or MS Word.
Its ability to read .rtf files is remarkable and they can be opened in different tabs for easier navigation.
Well while writing, it is quite difficult to write different and better quality article each time. It works to its best to get related search results for you so that you can get the content for writing even if you don’t have any special knowledge about the topic. It allows you to easily search for the full text, documents, and files with various types of formats.
You can set different features like to accept the messages with signal, without signal or dismiss the messages. The sms can be controlled to be accepted from particular contacts that are set in the list. It lets you type some text and then compare it in various fonts until you finally find what looks right. It’s actually multi platform (currently available for Windows, Linux, QNX, FreeBSD or Solaris). As with global search, full text search can be configured to search all Sugar modules or only specific modules. Additional field values a€“ for example, document title a€“ can be inserted at the same time.


This primarily textual document might have the employee name, job skills, manager's name, and perhaps a copy of the employeea€™s resume. If the full-text system is used to index and search relational data, the document key is typically the primary key in the relational table or view. But instead of simplified view that is already available in notepad, users can also use the application to view .rtf files – a feature that can’t be found in notepad. To start working with the software you need to enter the keyword on which you want to search the content.
It can instantly search for the single word, exact phrases, partial words, or Boolean word combinations within the organized collection of the documents. You can set these options for the number that you are having in your contact list and also for the numbers that are undefined.
If you do not want the incoming sms to be obstructed by the program you can disable it for freely receiving the messages. It also lets you do a whole host of other things such as load, unload, install, uninstall fonts, and search for duplicate fonts.
The program can be effectually used with thousands of documents and make multiple changes simultaneously that saves time and energy. Instead of having multiple windows when using notepad, the tabbed format of opening and editing files is a welcoming change. With the help of the software, you can have the keyword rich articles written in no matter of time. When you click on Search the related Topics are shown in left panel from where you can select and view the content. It supports various format files plain text files, RTF, Unicode, XLS, PDF, HTML, DOC and also supports image formats like ICO, GIF, BMP, TIFF, JPEG, PNG, PSD, WMF, etc. The software is required to be shifted to the Smartphone for installating to start with the work. Downloading the program is so much easier and the installation is done by transferring the file to the Pocket PC. This can help you to get rid of the unwanted messages that are sent by the network services. Detailed font info is available (such as full name, copyright, embedding info, available character sets etc.). Search in Sugar is like search in your favorite search engine: fast, intuitive, and predicable. Thus, a document with the managera€™s name in the employee resume would not be returned in this case. Furthermore, the application also offers options like hyperlinking and bookmarking along with adding shapes and adding text boxes and offering drop down fields as well. It helps you to generate high quality articles relating to any topic and you need not to have any information about it. The containing content is shown on the middle left panel from where you can have the added to the Text box.
It can even search and extract the supported files that are stored inside the ZIP, MHT and RAR, etc. The Status Bar would display the current Program State and you can select the option for activating the function. You can also select some text, and make it a link which automatically creates a new page with that name. You can search anything from a single file to an entire drive for any text you need to find. The ‘File Scope’ option is for setting the features for directory, file masks and the snippet form. You can have the action applied to all the incoming messages and also can have the messages directly saved to the inbox without any signal. Both Plain Text files (program source code, Batch files, HTML files, etc.) and binary files (word processing and Spreadsheet documents, PDF files, databases, even executable programs) can be searched, as can files archived inside ZIP, CAB or RAR files. You can change the schedule settings by setting the start time, end time and the week days for it. In addition to simple searches for words or phrases, the program allows you to use regular expressions (as found in Grep utilities, which will be familiar to the more technical among you) to perform more advanced searches including wild cards and various types of pattern matching. Customize the option relating to the default message action and selecting contact list format.
After performing a search, files containing the search text can be viewed, edited or opened in their associated applications.
The help file gives all the information from the downloading to the working of the program. You’re provided with features to publish articles with Word, Notepad, Word Pad formats and even have it copied to the Clipboard. It shows the collected files on the upper half area and the preview of the selected files is shown below.




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