fbpx
Wikipedia

Desktop search

July 08, 2023

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. A variety of desktop search programs are now available; see this list for examples. Most desktop search programs are standalone applications. Desktop search products are software alternatives to the search software included in the operating system, helping users sift through desktop files, emails, attachments, and more.[1][2][3]

OSL Desktop Search engines software Aduna AutoFocus 5

Desktop search emerged as a concern for large firms for two main reasons: untapped productivity and security. According to analyst firm Gartner, up to 80% of some companies' data is locked up inside unstructured data — the information stored on a user's PC, the directories (folders) and files they've created on a network, documents stored in repositories such as corporate intranets and a multitude of other locations.[4] Moreover, many companies have structured or unstructured information stored in older file formats to which they don't have ready access.

The sector attracted considerable attention in the late 2004 to early 2005 period from the struggle between Microsoft and Google.[5][6][7] According to market analysts, both companies were attempting to leverage their monopolies (of web browsers and search engines, respectively) to strengthen their dominance. 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.[8] As of September 2011, Google ended life for Google Desktop.

Technologies

Most desktop search engines build and maintain an index database to improve performance when searching large amounts of data. 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,[9] which performs searches over only file names, not contents, is able to build its index from scratch in just a few seconds. Another exception is Vegnos Desktop Search Engine,[10] which performs searches over filenames and files' contents without building any indices. 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 names
  • metadata, such as titles, authors, comments in file types such as MP3, PDF and JPEG
  • file content, for the types of documents supported by the tool

Long-term goals for desktop search include the ability to search the contents of image files, sound files and video by context.[11][12]

Platforms & their histories

Windows

 
Lookeen desktop search on Windows

Indexing Service, a "base service that extracts content from files and constructs an indexed catalog to facilitate efficient and rapid searching",[13] was originally released in August 1996. It was built in order to speed up manually searching for files on Personal Desktops and Corporate Computer Network. 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.[14] This made indexing large amounts of files require extremely powerful hardware and very long wait times.

In 2003, Windows Desktop Search (WDS) replaced Microsoft Indexing Service. 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. WDS also brought "Instant searching" meaning the user could type a character and the query would instantly start searching and updating the query as the user typed in more characters.[15] Windows Search apparently used up a lot of processing power, as Windows Desktop Search would only run if it was directly queried or while the PC was idle. 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 10% of the size of all the files that it indexed, e.g. if the indexed files amounted to around 100GB, the index size would be 10GB.

With the release of Windows Vista came Windows Search 3.1. Unlike its predecessors WDS and Windows Search 3.0, 3.1 could search through both indexed and non indexed locations seamlessly. Also, the RAM and CPU requirements were greatly reduced, cutting back indexing times immensely. Windows Search 4.0 is currently running on all PCs with Windows 7 and up.

Mac OS

In 1994 the AppleSearch search engine was introduced, 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. AppleSearch was a client/server application, and as such required a server separate from the main device in order to function. The biggest issue with AppleSearch were its large resource requirements: "AppleSearch requires at least a 68040 processor and 5MB of RAM."[16] At the time, a Macintosh computer with these specifications was priced at approximately $1400; equivalent to $2050 in 2015.[17] On top of this, the software itself cost an additional $1400 for a single license.

In 1997, Sherlock was released alongside Mac OS 8.5. Sherlock (named after the famous fictional detective Sherlock Holmes) was integrated into Mac OS's file browser – Finder. Sherlock extended the desktop search function to the World Wide Web, allowing users to search both locally and externally. Adding additional functions—such as internet access—to Sherlock was relatively simple, as this was done through plugins written as plain text files. 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 10.4 Tiger. It was officially removed in Mac OS X 10.5 Leopard

Spotlight was released in 2005 as part of Mac OS X 10.4 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.[18] While Spotlight initially has a long startup time, this decreases as the hard disk is indexed. As files are added by the user, the index is constantly updated in the background using minimal CPU & RAM resources.

Linux

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.g. one which does extraction and indexing of PDF/DOC/DOCX/ODT documents well, another search engine which works w/ vcard, LDAP, and other directory/contact databases, as well as the conventional find and locate commands.

Ubuntu

 
Unity Dash search tool in Ubuntu 16.04

Ubuntu Linux didn't have desktop search until release Feisty Fawn 7.04. Using Tracker[19] desktop search, the desktop search feature was very similar to Mac OS's AppleSearch and Sherlock. It not only featured the basic features of file format sorting and meta-data matching, but support for searching through emails and instant messages was added. In 2014 Recoll[20] was added to Linux distributions, working with other search programs such as Tracker and Beagle to provide efficient full text search. This greatly increased the types of queries and file types that Linux desktop searches could handle. A major advantage of Recoll is that it allows for greater customization of what is indexed; Recoll will index the entire hard disk by default, but can be made to index only selected directories, omitting directories that will never need to be searched.[21]

openSUSE

Starting with KDE4, the NEPOMUK was introduced. It provided the ability to index a wide range of desktop content, email, and use semantic web technologies (e.g. 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-down 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[22] based on Xapian.[23]

See also

References

  1. ^ "What do you do for desktop search in VDI and RDSH?". Blogpost by Brian Madden on brainmadden.com. Retrieved on March 25, 2015.
  2. ^ Anthony Ha (2 June 2008). "Lookeen offers a new way for Outlook users to search". VentureBeat. Retrieved 8 March 2016.
  3. ^ Robert L. Mitchell (8 May 2013). "X1 rises again with Desktop Search 8, Virtual Edition". Computerworld. Retrieved 24 June 2015.
  4. ^ "Security special report: Who sees your data?", Computer Weekly, 2006-04-25.
  5. ^ "BBC NEWS - Technology - Search wars hit desktop computers". bbc.co.uk. 26 October 2004. Retrieved 24 June 2015.
  6. ^ "KMWorld - The Evolution of Desktop Search". Retrieved 7 January 2019..
  7. ^ "dtSearch UK Blog - Desktop Wars". Retrieved 8 January 2019.
  8. ^ . goebelgroup.com. Archived from the original on 27 December 2013. Retrieved 24 June 2015.
  9. ^ "Everything Search Engine". voidtools. Retrieved 27 December 2013.
  10. ^ "Vegnos". Vegnos. Retrieved 27 December 2013.
  11. ^ Niall Kennedy (17 October 2006). "The current state of video search". Niall Kennedy. Retrieved 24 June 2015.
  12. ^ Niall Kennedy (15 October 2006). "The current state of audio search". Niall Kennedy. Retrieved 24 June 2015.
  13. ^ "Indexing Service". microsoft.com. Microsoft. Retrieved 24 June 2015.
  14. ^ "Indexing with Microsoft Index Server". microsoft.com. Microsoft. Retrieved 24 June 2015.
  15. ^ . microsoft.com. Microsoft. Archived from the original on 24 September 2011. Retrieved 24 June 2015.
  16. ^ "AppleSearch". infomotions.com. Retrieved 24 June 2015.
  17. ^ eduardo casais. "Converter of current to real US dollars - using the GDP deflator". areppim.com. Retrieved 24 June 2015.
  18. ^ "Apple - Press Info - Apple to Ship Mac OS X "Tiger" on April 29". apple.com. Retrieved 24 June 2015.
  19. ^ "A first look at Tracker 0.6.0". Ars Technica. 26 July 2007. Retrieved 24 June 2015.
  20. ^ "Recoll user manual". lesbonscomptes.com. Retrieved 24 June 2015.
  21. ^ "Linux.com". Retrieved 24 June 2015.
  22. ^ "Baloo - KDE Community Wiki".
  23. ^ "Home". opensuse.org.

July 08, 2023
desktop, search, this, article, multiple, issues, please, help, improve, discuss, these, issues, talk, page, learn, when, remove, these, template, messages, this, article, technical, most, readers, understand, please, help, improve, make, understandable, exper. This article has multiple issues Please help improve it or discuss these issues on the talk page Learn how and when to remove these template messages This article may be too technical for most readers to understand Please help improve it to make it understandable to non experts without removing the technical details October 2014 Learn how and when to remove this template message This is written like a manual or guidebook Please help rewrite this from a descriptive neutral point of view and remove advice or instruction October 2016 Learn how and when to remove this template message Learn how and when to remove this template message 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 A variety of desktop search programs are now available see this list for examples Most desktop search programs are standalone applications Desktop search products are software alternatives to the search software included in the operating system helping users sift through desktop files emails attachments and more 1 2 3 OSL Desktop Search engines software Aduna AutoFocus 5 Desktop search emerged as a concern for large firms for two main reasons untapped productivity and security According to analyst firm Gartner up to 80 of some companies data is locked up inside unstructured data the information stored on a user s PC the directories folders and files they ve created on a network documents stored in repositories such as corporate intranets and a multitude of other locations 4 Moreover many companies have structured or unstructured information stored in older file formats to which they don t have ready access The sector attracted considerable attention in the late 2004 to early 2005 period from the struggle between Microsoft and Google 5 6 7 According to market analysts both companies were attempting to leverage their monopolies of web browsers and search engines respectively to strengthen their dominance 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 8 As of September 2011 Google ended life for Google Desktop Contents 1 Technologies 2 Platforms amp their histories 2 1 Windows 2 2 Mac OS 2 3 Linux 2 3 1 Ubuntu 2 3 2 openSUSE 3 See also 4 ReferencesTechnologies EditMost desktop search engines build and maintain an index database to improve performance when searching large amounts of data 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 9 which performs searches over only file names not contents is able to build its index from scratch in just a few seconds Another exception is Vegnos Desktop Search Engine 10 which performs searches over filenames and files contents without building any indices 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 names metadata such as titles authors comments in file types such as MP3 PDF and JPEG file content for the types of documents supported by the toolLong term goals for desktop search include the ability to search the contents of image files sound files and video by context 11 12 Platforms amp their histories EditWindows Edit Lookeen desktop search on Windows Indexing Service a base service that extracts content from files and constructs an indexed catalog to facilitate efficient and rapid searching 13 was originally released in August 1996 It was built in order to speed up manually searching for files on Personal Desktops and Corporate Computer Network 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 14 This made indexing large amounts of files require extremely powerful hardware and very long wait times In 2003 Windows Desktop Search WDS replaced Microsoft Indexing Service 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 WDS also brought Instant searching meaning the user could type a character and the query would instantly start searching and updating the query as the user typed in more characters 15 Windows Search apparently used up a lot of processing power as Windows Desktop Search would only run if it was directly queried or while the PC was idle 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 10 of the size of all the files that it indexed e g if the indexed files amounted to around 100GB the index size would be 10GB With the release of Windows Vista came Windows Search 3 1 Unlike its predecessors WDS and Windows Search 3 0 3 1 could search through both indexed and non indexed locations seamlessly Also the RAM and CPU requirements were greatly reduced cutting back indexing times immensely Windows Search 4 0 is currently running on all PCs with Windows 7 and up Mac OS Edit In 1994 the AppleSearch search engine was introduced 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 AppleSearch was a client server application and as such required a server separate from the main device in order to function The biggest issue with AppleSearch were its large resource requirements AppleSearch requires at least a 68040 processor and 5MB of RAM 16 At the time a Macintosh computer with these specifications was priced at approximately 1400 equivalent to 2050 in 2015 17 On top of this the software itself cost an additional 1400 for a single license In 1997 Sherlock was released alongside Mac OS 8 5 Sherlock named after the famous fictional detective Sherlock Holmes was integrated into Mac OS s file browser Finder Sherlock extended the desktop search function to the World Wide Web allowing users to search both locally and externally Adding additional functions such as internet access to Sherlock was relatively simple as this was done through plugins written as plain text files 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 10 4 Tiger It was officially removed in Mac OS X 10 5 LeopardSpotlight was released in 2005 as part of Mac OS X 10 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 18 While Spotlight initially has a long startup time this decreases as the hard disk is indexed As files are added by the user the index is constantly updated in the background using minimal CPU amp RAM resources Linux Edit 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 g one which does extraction and indexing of PDF DOC DOCX ODT documents well another search engine which works w vcard LDAP and other directory contact databases as well as the conventional find and locate commands Ubuntu Edit Unity Dash search tool in Ubuntu 16 04 Ubuntu Linux didn t have desktop search until release Feisty Fawn 7 04 Using Tracker 19 desktop search the desktop search feature was very similar to Mac OS s AppleSearch and Sherlock It not only featured the basic features of file format sorting and meta data matching but support for searching through emails and instant messages was added In 2014 Recoll 20 was added to Linux distributions working with other search programs such as Tracker and Beagle to provide efficient full text search This greatly increased the types of queries and file types that Linux desktop searches could handle A major advantage of Recoll is that it allows for greater customization of what is indexed Recoll will index the entire hard disk by default but can be made to index only selected directories omitting directories that will never need to be searched 21 openSUSE Edit Starting with KDE4 the NEPOMUK was introduced It provided the ability to index a wide range of desktop content email and use semantic web technologies e g 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 down 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 22 based on Xapian 23 See also EditList of desktop search enginesReferences Edit What do you do for desktop search in VDI and RDSH Blogpost by Brian Madden on brainmadden com Retrieved on March 25 2015 Anthony Ha 2 June 2008 Lookeen offers a new way for Outlook users to search VentureBeat Retrieved 8 March 2016 Robert L Mitchell 8 May 2013 X1 rises again with Desktop Search 8 Virtual Edition Computerworld Retrieved 24 June 2015 Security special report Who sees your data Computer Weekly 2006 04 25 BBC NEWS Technology Search wars hit desktop computers bbc co uk 26 October 2004 Retrieved 24 June 2015 KMWorld The Evolution of Desktop Search Retrieved 7 January 2019 dtSearch UK Blog Desktop Wars Retrieved 8 January 2019 SearchMax goebelgroup com Archived from the original on 27 December 2013 Retrieved 24 June 2015 Everything Search Engine voidtools Retrieved 27 December 2013 Vegnos Vegnos Retrieved 27 December 2013 Niall Kennedy 17 October 2006 The current state of video search Niall Kennedy Retrieved 24 June 2015 Niall Kennedy 15 October 2006 The current state of audio search Niall Kennedy Retrieved 24 June 2015 Indexing Service microsoft com Microsoft Retrieved 24 June 2015 Indexing with Microsoft Index Server microsoft com Microsoft Retrieved 24 June 2015 Windows Search Technical FAQ microsoft com Microsoft Archived from the original on 24 September 2011 Retrieved 24 June 2015 AppleSearch infomotions com Retrieved 24 June 2015 eduardo casais Converter of current to real US dollars using the GDP deflator areppim com Retrieved 24 June 2015 Apple Press Info Apple to Ship Mac OS X Tiger on April 29 apple com Retrieved 24 June 2015 A first look at Tracker 0 6 0 Ars Technica 26 July 2007 Retrieved 24 June 2015 Recoll user manual lesbonscomptes com Retrieved 24 June 2015 Linux com Retrieved 24 June 2015 Baloo KDE Community Wiki Home opensuse org Retrieved from https en wikipedia org w index php title Desktop search amp oldid 1143939676, wikipedia, wiki, book, books, library,

article

, read, download, free, free download, mp3, video, mp4, 3gp, jpg, jpeg, gif, png, picture, music, song, movie, book, game, games.