Google Desktop - Indexing files on the computer. Google Desktop automatically creates an index after installation. Google Desktop indexing might take a long time depending on the size of the hard disk. To speed up the indexing process, the computer should not be used for several hours. Alternatively, Google Desktop indexing can be configured to start whenever the computer is inactive for more than 3. As soon as the indexing of the files and mails is completed by Google Desktop, any file handling will be automatically reflected in the index of Google Desktop. Although indexing files on the computer is a one- off process,re- indexing may be required in some cases. This means that the software is currently examining the content of hard disks in your computer. In the other cases, Google Desktop will resume indexing whenever the computer is inactive for more than 3. If it was already open when you install Google Desktop, restart it at the beginning of the initial indexing. If you find that emails are not being indexed, please go to : http: //desktop. This procedure takes much time, but it will happen only once. As soon as the contents of the PC are fully analyzed, subsequent updates of the index will be transparent. Any file handling (creating, opening, recording or displacement) will be automatically saved in the index in real time. In the menu that appears, choose the . A window opens immediately in your web browser. Large files (documents) are partially indexed, only the first ten thousand words are taken into account. However, it may be necessary to perform this procedure again, on your computer in the following cases. You have disabled Google Desktop for a period of time. Free Download Google Desktop Search. With the release of IFilterShop Google Desktop Search plugin, users of Google Desktop Search can. IFilters are COM components that are used by Windows Indexing Service. This blog post is also available in the PDF format in a TechRepublic. Stay on top of the latest Microsoft Windows tips and tricks with TechRepublic's Windows Desktop. The Search and Indexing Troubleshooter.
For a simple re- indexing (the results are not up to date), click the Google Desktop icon visible in the taskbar. In the menu that appears, choose the . This is not too annoying in that the installation is really fast. Desktop search - Wikipedia, the free encyclopedia. OSL Desktop Search engines software Aduna Auto. Focus 5. Desktop search tools search within a user's own computer files as opposed to searching the Internet. These tools are designed to find information on the user's PC, including web browser history, e- mail archives, text documents, sound files, images, and video. Which Is the Best Desktop Search Tool? PowerPoint, Excel, WordPerfect, PDF, HTML.txt.rtf.asp.c. That Google makes my desktop search virtually. Is it possible to search for and retrieve documents with Google desktop search? How much do Simple Software products cost? How can I use barcodes or blank pages as separator pages to indicate document breaks? After installing Google Desktop the index is automatically created. This means that the software is currently examining the content of hard disks in your computer. Getting Started If you want the initial indexing to end. One of the main advantages of desktop search programs is that search results are displayed quickly due to the use of proper indexes. A variety of desktop search programs are now available; see this list for examples. Most desktop search programs are standalone applications, whereas a few also provide search capabilities in an integrated writing environment (IWE). Desktop search emerged as a concern for large firms for two main reasons: untapped productivity and security. On the one hand, users need to be able to quickly find relevant files, but on the other hand, they shouldn't have access to restricted files. According to analyst firm Gartner, up to 8. This creates a challenge for IT organizations, which may not have a desktop search standard, or lack strict central control over end users downloading tools from the Internet. Some consumer- oriented desktop search tools make it possible to generate indexes outside the corporate firewall and share those indexes with unauthorized users. In some cases, end users are able to index . It was used to build the Sherlock search engine and then developed into Spotlight, which brought automated, non- timer- based full indexing into the operating system. Technologies. Indexing usually takes place when the computer is idle and most search applications can be set to suspend indexing if a portable computer is running on batteries, in order to save power. There are notable exceptions, however: Voidtools' Everything Search Engine. Another exception is Vegnos Desktop Search Engine. The benefits to not having indices is that, in addition to not requiring persistent storage, more powerful queries (e. An index may also not be up- to- date, when a query is performed. In this case, results returned will not be accurate (that is, a hit may be shown when it is no longer there, and a file may not be shown, when in fact it is a hit). Some products have sought to remedy this disadvantage by building a real- time indexing function into the software. There are disadvantages to not indexing. Namely, the time to complete a query can be significant, and the issued query can also be resource- intensive. Desktop search tools typically collect three types of information about files: file and folder namesmetadata, such as titles, authors, comments in file types such as MP3, PDF and JPEGfile content (for supported types of documents only)To search effectively within documents, the tools need to be able to parse many different types of documents. This is achieved by using filters that interpret selected file formats. For example, a Microsoft Office Filter might be used to search inside Microsoft Office documents. Long- term goals for desktop search include the ability to search the contents of image files, sound files and video by context. Due to Google's complaint that users of Windows Vista cannot choose any competitor's desktop search program over the built- in one, an agreement was reached between US Justice Department and Microsoft that Windows Vista Service Pack 1 would enable users to choose between the built- in and other desktop search programs, and select which one is to be the default. Windows, Mac OS & Linux. This article will focus on the history of these search platforms, the features they had, and how those features evolved. Windows. WDS, in turn, replaced Indexing Service. Indexing service helped by using Microsoft web servers to index files on the desired hard drives. Indexing was done by file format. By using terms that users provided, a search was conducted that matched terms to the data within the file formats. The largest issue that Indexing service faced was the fact that every time a file was added, it had to be indexed. This coupled with the fact that the indexing cached the entire index in RAM, made the hardware a huge limitation. Instead of only matching terms to the details of the file format and file names, WDS brings in content indexing to all Microsoft files and text- based formats such as e- mail and text files. This means, that WDS looked into the files and indexed the content. Thus, when a user searched a term, WDS no longer matched just information such as file format types and file names, but terms, and values stored within those files. Even only running while directly queried or while the computer was idled, indexing the entire hard drive still took hours. The index would be around 1. For example, if the indexed files amounted to around 1. GB of space, the index would, itself, be 1. GB large. With the release of Windows Vista came Windows Search 3. Unlike its predecessors WDS and Windows Search 3. Also, the RAM and CPU requirements were greatly reduced. Cutting back indexing times immensely. This brings us to the Windows Search 4. PCs with Windows 7 and up. Mac OS was the first to implement Desktop Search with its Apple. Search search engine, allowing users to fully search all documents within their Macintosh computer, including file format types, meta- data on those files, and content within the files. Apple. Search was a client/server application, and as such required a server separate from the main device in order to function. The biggest issue with Apple. Search were its large resource requirements: . Sherlock (named after the famous fictional detective Sherlock Holmes) was integrated into Mac OS's file browser . Sherlock extended the desktop search function to the World Wide Web, allowing users to search both locally and externally. Adding additional functions. Sherlock was included in every release of Mac OS from Mac OS 8, before being deprecated and replaced by Spotlight and Dashboard in Mac OS X 1. Tiger. It was officially removed in Mac OS X 1. Leopard. Spotlight was released in 2. Mac OS X 1. 0. 4 Tiger. It is a Selection- based search tool, which means the user invokes a query using only the mouse. Spotlight allows the user to search the Internet for more information about any keyword or phrase contained within a document or webpage, and uses a built- in calculator and Oxford American Dictionary to offer quick access to small calculations and word definitions. As files are added by the user, the index is constantly updated in the background using minimal CPU & RAM resources. There are a wide range of desktop search options for Linux users, depending upon the skill level of the user, their preference to use desktop tools which tightly integrate into their desktop environment, command- shell functionality (often with advanced scripting options), or browser- based users interfaces to locally running software. In addition, many users create their own indexing from a variety of indexing packages (e. Strangely enough, Ubuntu didn't have desktop search until Feisty Fawn 7. Considering the fact that both are UNIX based systems. Tracker, was released in late 2. But unfortunately occasionally had sporadic control over what resources it was using. It not only featured the basic features of file format sorting, and meta- data matching, but support for searching through emails and messages (instant messages) was added. Years later, in 2. Recoll. This greatly increased the types of queries that Linux desktop searches could handle as well as file types. The wonderful thing about Recoll is that it allows for greater customization of what is indexed. For example, Recoll will index the entire hard disk by default, but will and can index just a few select directories instead of wasting time indexing directories you know you will never need to look at. It also allows for more search options, you may actually narrow down what kind of query you want to ask. For example, you could search for just file types or by content. It provided the ability to index a wide range of desktop content, email, and use semantic web technologies (e. RDF) to annotate the database. The introduction faced a few glitches, much of which seemed to be based on the triplestore. Performance improved (at least for queries) by switching the backend to a stripped own version of the Virtuoso Open Source Edition, however indexing remained a common user complaint. Based on user feedback, the Nepomuk indexing and search has been replaced with the Baloo framework.
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