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=Semantic Search=


=Nepomuk=
The aim of this page is not to fully explain KDE's Semantic Search technology and every detail, but to give a short overview, some examples, share the vision behind it and link to relevant information on the web.


这个页面的目的不是详细解释Nepomuk技术及其每个细节，而是作简短的概述，举一些例子，分享其背后的设想和给予指向网上相关资讯的链接。
== Baloo is the next generation of semantic search ==


==Short explanation==
From KDE Applications 4.13 onwards, the '[https://community.kde.org/Baloo Baloo]' file indexing and file search framework replaces Nepomuk. Read [http://dot.kde.org/2014/02/24/kdes-next-generation-semantic-search details on the changes for Applications 4.13 here]. Semantic Search no longer uses a single, big database, but separate, specialized databases for each type of data. The new search databases are in <tt>$HOME/.local/share/baloo</tt>. If you upgraded to KDE Applications 4.13 from an earlier KDE release, you can delete <tt>$KDEHOME/share/apps/nepomuk</tt>.


As the [[Glossary#Nepomuk|Glossary]] mentions, Nepomuk is about classification, organisation and presentation of data. It is not an application, but a component which can be used by developers within applications.
==简短说明==


=== Try out ===
As the [[Special:myLanguage/Glossary#Nepomuk|Glossary]] mentions, Semantic Search is about classification, organisation and presentation of data. It is not an application, but a component which can be used by developers within applications.
For example, [[Dolphin]] makes use of Nepomuk. For the following to hold Nepomuk and Strigi must be enabled from System settings -> Desktop search. The information sidebar of Dolphin allows you to assign tags, ratings and comments to files. This information is then stored in Nepomuk and indexed by Strigi. You can then search for metadata using the navigation bar in Dolphin. Write "nepomuksearch:/" followed by search terms.


==Functionalities==
=== Try out in Dolphin ===
For example, the [[Special:myLanguage/Dolphin|Dolphin]] file manager makes use of Search. In KDE Applications versions prior to 4.13 Semantic Search must be enabled from <menuchoice>System settings -> Desktop search</menuchoice>. The information sidebar of Dolphin (<menuchoice>Control -> Panels -> Information</menuchoice>, or press <keycap>F11</keycap>) presents information extracted by Search about the selected file, and also allows you to assign tags, ratings and comments to files. This information is then stored and indexed by Search. You can then search for metadata using the navigation bar in Dolphin. Click to <menuchoice>Find</menuchoice>, or press <keycap>Ctrl+F</keycap>, and search for file names or file contents.


Nepomuk offers several 'layers' of functionality to applications. The first and most simple of those is manual tagging, rating and commenting, as used in Dolphin. This helps you to find your files faster, but is also a lot of work.
<!-- info about nepomuksearch:/ deleted per its developer: "Actually nepomuksearch:/ is an internal thing and should not be entered by the user." its developer -->


To make finding files containing text easier, Nepomuk offers a second functionality: indexing the text of files. It uses a technology called [[Glossary#Strigi|Strigi]] for this. You can now also find files by entering some words which you know are in there, or just (part of) their title.


The third layer is a very complex one, and the reason why Nepomuk was conceived as a research project of several companies and universities in the European union. This is where you will find difficult words like 'semantic desktop' and 'ontologies'. Basically, it is about context and relationships.
==功能==


==Examples==
KDE's Semantic Search offers several 'layers' of functionality to applications. The first and most simple of those is manual tagging, rating and commenting, as used in Dolphin. This helps you to find your files faster, but is also a lot of work.


Let me try to explain what Nepomuk offers using two examples.
To make finding files containing text easier, Search offers a second functionality: indexing the text of files. You can find files by entering some words which you know are in there, or just (part of) their title.


===Relationship===
The third layer is a very complex one, and the reason why the underlying technology, Nepomuk, was conceived as a research project of several companies and universities in the European union. This is where you will find difficult words like 'semantic desktop' and 'ontologies'. Basically, it is about context and relationships.


Say you received a photo from a friend of yours, 2 weeks ago. You saved it somewhere on your computer. Now how to you find that file? If you don't remember the location, you're out of luck.
=== Indexing files ===


Now Nepomuk aims to help you. You know this file came from that friend of yours, your computer does not. Nepomuk, however, can remember this relationship. Searching on the name of your friend will therefor pop up the photo!
Search does not index every file on the hard drive. Its default configuration in most Linux distributions excludes some common patterns for backup files and configuration directories. You can change this in <menuchoice>System Settings -> Desktop Search</menuchoice>. Add folders to be excluded. If you want to turn off indexing of files entirely, just add your home folder there.


Another potential relationship is between a web page you copied text from and the document you pasted it into, or two images showing the same car. Such relations can sometimes be extracted from the files themselves (you could analyze photos and see who or what is on there) or supplied by the applications involved (as in the above email example). This part of Nepomuk is still under heavy development, and needs integration in applications, so you can expect it to take a few more years to really shine.
In '''System Settings''' you can also control whether Search indexes files on removable media such as USB drives and CD-ROMs. In KDE Applications 4.13 this is not available, removable media are not indexed. Future versions are planned to reintroduce this functionality.


All in all, this part of Nepomuk is about making search smart. Think about how Google tries to be smart with your searches: when you search for a hotel and a city name, it shows above the website results a google map showing hotels in the city you mentioned! It might even suggest a better name in case you made a spelling mistake. Google also tries to put the most relevant information on top of the list of results, using complex calculations on relationships (links) between websites. Nepomuk will be able to offer such smart results and order them on relevancy using relationship information.
==例子==


===Context===
Let me try to explain what Semantic Search offers using two examples. These features are not available fully yet - the base is there but application developers need to integrate this in their applications.


These relationships can not only help you while searching for files, but also have an influence on applications and what information they present. Note that this way of using Nepomuk is still more a vision than reality! Many of the components are in place, but it is not yet integrated in applications and the desktop as a whole.
===关系（Relationship）===


So here an example of bringing context awareness to your desktop could help you work more efficiently.
假设你2周前从你的某个好友手上收到一张照片。你随后保存照片到电脑的某个地方。现在你如何找到那个文件哪？如果你不记得保存的位置，你就杯具了（人生是个茶几，你是个杯具）。


Say you are working on finishing some notes you took in a meeting. The phone rings, and somebody asks you to find that spreadsheet with prices, adjust it for a customer. After a few more interruptions you find your desktop full of files and windows...
Now Semantic Search aims to help you. You know this file came from that friend of yours, your computer does not know. Search, however, can remember this relationship. Searching on the name of your friend will therefore pop up the photo!


It'd be nice to be able to organize all that a bit better, right?
Another potential relationship is between a web page you copied text from and the document you pasted it into, or two images showing the same car. Such relations can sometimes be extracted from the files themselves (you could analyze photos and see who or what is on there) or supplied by the applications involved (as in the above email example). This part of Search is still under heavy development, and needs integration in applications, so you can expect it to take a few more years to really shine.


Enter '[[Glossary#Activities|activities]]'. These have been introduced in [[Plasma]], and currently offer different 'desktops'. They are a bit like virtual desktops, except that the desktop itself changes, not the set of applications. Different widgets, background, things like that. Of course, since KDE 4.3, each virtual desktop can have it's own activity, bringing the two in sync.
All in all, this part of Semantic Search is about making search smart. Think about how Google tries to be smart with your searches: when you search for a hotel and a city name, it shows above the website results a google map showing hotels in the city you mentioned! It might even suggest a better name in case you made a spelling mistake. Google also tries to put the most relevant information on top of the list of results, using complex calculations on relationships (links) between websites. Semantic Search will be able to offer such smart results and order them on relevancy using relationship information.


If applications and desktop were aware of activities, you could create an activity for each of the tasks you regularly work on. So if you often have to change a spreadsheet with prices, you create an activity for that: put a Folder View (or several) widget on the desktop, add a calculator and a todo-widget to keep track of what you still have to change. Maybe even an email folder widget showing the mails with questions regarding these prices spreadsheets!
===语境（Context）===


As soon as somebody asks a question about prices, you switch to this activity. Fire up your spreadsheet application. It is aware of your activity so it shows recent price spreadsheets, not the recent list of inventory you were working on in another activity! [[Kopete]], the chat application shows your colleague who knows all about prices, as she is the person you always chat with when working on this activity.
These relationships can not only help you while searching for files, but also have an influence on applications and what information they present. Note that this way of using Search is still more a vision than reality! Many of the components are in place, but it is not yet integrated in applications and the desktop as a whole.


When you are finished, you go back to another activity, and once again all applications adjust their behavior to fit what you are doing.
这里有个例子讲把语境认知（context awareness）带到桌面上助你工作更有效率。


The benefits of such an activity-based work flow go further than you might at first expect. It not only helps you find files and contact persons, but also helps in switching tasks itself. The human brain isn't very good at multi-tasking - it takes most people several minutes to get up to speed after switching tasks. Changing the 'environment' helps a lot in speeding this up, even if it's just on the screen. Compare it with getting in the mood for your holiday by packing your bag!
比如说你正在整理会议上摘的笔记。这时手机响了，某人问你要带报价的电子表格，还要你根据客户要求进行修改。再多来几个打扰后，你会发现整个桌面全是文件和窗口...


Of course, the above is mostly relevant to people working behind their computer in the office or at home. A gamer or a casual user would probably not use these activities much.
如果能更好的组织这一切会非常棒，对吗？


Note that the scenario described above is still years away from reality. Much of the basic infrastructure for this in KDE is in place but much is still left.
Enter '[[Special:myLanguage/Glossary#Activities|activities]]'. These have been introduced in [[Special:myLanguage/Plasma|Plasma]], and currently offer different 'desktops'. They are a bit like virtual desktops, except that the desktop itself changes, not the set of applications. Different widgets, background, things like that. Of course, since Plasma 4.3, each virtual desktop can have its own activity, bringing the two in sync.


==Sharing and privacy==
如果程序和桌面认识活动，你可以根据经常工作的任务创建活动。所以如果你经常不得不修改带报价的电子表格，你创建这样一个活动：摆放一个「文件夹视图」（或多个）部件到桌面上，添加一个计算器和一个 todo 部件来记录还需要修改的东西。可能需要一个「邮件文件夹」部件来显示有关报价表问题的邮件！


There is one thing I need to touch on before pointing to other sources of information: sharing Nepomuk data. It'd be great if your tags, ratings and comments would be shared with others when you send them files. However, if you tagged a contact with a slightly embarrassing tag ('boring in bed') and send that persons contact information to a mutual friend you probably don't want that tag to be send as well... This issue is of course being considered and an important subject of research by the Nepomuk researchers. For the time being, these privacy concerns, combined with technical challenges, are the reason Nepomuk context is private. Rest assured the Nepomuk team does all it can to make sure your privacy is respected.
一旦有人问报价问题，你就切换到这个活动。打开表格程序。表格程序认识你的活动，它的最近打开列表显示的是报价表格，不是你在另外一个活动工作的存货清单！[[Special:myLanguage/Kopete|Kopete]]，这个聊天程序显示着某个知道有关价格的同事，因为她是你经常在当前这个活动聊天的对象。


:''More info'':
等你完成后，你回到另外一个活动，所有程序再一次调整它们的行为来适应你当前的工作。
::[http://en.wikipedia.org/wiki/Semantic_desktop Wikipedia - Semantic Desktop]
::[http://en.wikipedia.org/wiki/NEPOMUK_(framework)  Wikipedia - NEPOMUK Framework]
::[http://nepomuk.semanticdesktop.org/xwiki/bin/view/Main1/ NEPOMUK website]
::[http://nepomuk.kde.org/discover/user NEPOMUK KDE site]
::[http://dot.kde.org/2009/12/10/exploring-new-nepomuk-features-mandriva-linux-2010 article explaining Nepomuk on the DOT]


[[Category:System]]
这样一个基于活动的工作流程的收益会远远超越你最初的期望。它不但能帮你找到文件和联系人，还有助于切换任务本身。人脑不擅长多任务-人类切换任务后需要花费几分钟来达到正常速度。改变'环境'能大大加快反应，即使只是屏幕上的。把它跟你假日收拾包裹时的情绪对比下！
 
当然，上面所述很大程度与电脑后头工作的人是在办公室还是在家有关。游戏玩家或临时用户可能不太会用到这些活动。
 
The scenario described above is already partially implemented in the Activities but much work is still left.
 
==Frequently Asked Questions==
 
The following is taken from a [http://forum.kde.org/viewtopic.php?f=154&t=97098&p=204592 KDE forums] post. Please feel free to add/remove/modify details if you have the time!
 
;What is the Nepomuk Semantic Desktop, and the Strigi Desktop File Indexer?
 
: Nepomuk and Strigi are technologies part of what delivers the abilities of the Semantic Search in KDE. Both are not used directly in the latest generation of KDE's Semantic Search ([http://dot.kde.org/2014/02/24/kdes-next-generation-semantic-search details]), however their successors share much of their code and concepts. Semantic Search provides a way to organize, annotate and build relationships among the data (not only file name and content, but for example which applications used a certain file, or how it is tagged). A number of KDE applications and workspaces use this basic infrastructure to deliver features such as email tagging ([[Special:myLanguage/KMail|KMail]]) or activity setup (Plasma).
 
:The file indexing allows applications such as [[Special:myLanguage/Dolphin|Dolphin]] to search for files based on content, name, or other meta-data (e.g. tags) associated to indexed files. Such an indexer can also index non-text files, such as PDFs, by accessing the meta-data contained in these files (author, publication information, etc.). Some KDE components ship additional "analyzers" for more file types.
 
; Why do we need both Akonadi and Semantic Search?  Aren't they doing the same thing?
 
: In short, Akonadi provides a cache of PIM data like calendar items, contacts and email, which is used by applications like KMail and Korganizer but also the calendar build in Plasma. Semantic Search plugs in Akonadi to provide search functionality. How Baloo offers search is actually up to the application. In case of KDE PIM, Xapian is used to provide indexing and search.
 
;How can I disable the semantic desktop?
 
: File indexing can be disabled by adding the users' home folder to the <menuchoice>System Settings -> Desktop Search -> Do not search in these locations list</menuchoice>. The other functionality is part of the applications that use it and thus can't be disabled without crippling these applications. For example, to not have any search in KMail you'll have to simply remove KMail...
 
In versions of the KDE Applications before 4.13, Semantic Search would have components running separate from applications. This functionality could be disabled by unchecking <menuchoice>Enable Nepomuk File Indexer</menuchoice> in the [[Special:myLanguage/System_Settings/Search_Desktop|Desktop Search]] section of [[Special:myLanguage/System Settings|System Settings]]. In case you want to turn off all semantic features, uncheck <menuchoice>Enable Nepomuk Semantic Desktop</menuchoice>. Notice that this will turn off search in [[Special:myLanguage/Dolphin|Dolphin]] as well.
 
:Notice that with the latter option some programs who use Semantic Search for meta-data will offer reduced functionality: for example [[Special:myLanguage/KMail|KMail]] will not be able to tag mail, or Plasma activities will not offer additional features such as icons, or program data information.
 
;Baloo/Semantic Search is eating 100% CPU! What do I do?
 
:Just wait. Certain files are very hard or even impossible to Index. At the moment, this includes for example text files of over 50 megabyte. When Search finds these, it will try for a fixed time. When it fails, it will try to find out what file is broken and disable indexing it in the future. As it indexes files in batches of about 40, it has to find the problematic file by indexing that bunch in parts: first half/second half, index problematic half in pieces again, until the file is found. This can take up to 30 minutes of heavy cpu usage. Unfortunately, while Baloo will not start to index a new batch of 40 files while on battery power, it continues to determine the broken file while on battery. This behaviour has been fixed in in KDE Applications 4.13.1 (it will stop indexing immediately when the power cord is unplugged) and the time the search for each file can take has been reduced to about 10 minutes. The Semantic Search team is working on improving the indexing tools to handle more difficult files.
 
;Why do I have nepomukservicestub processes even though I've disabled Nepomuk?
 
:It may be a bug. Please file a [http://bugs.kde.org bug report] with a complete description of your problem and the steps to trigger it.
 
;File indexing of PDF/some other file types doesn't work.
 
:PDF indexing is a known issue and it's being tracked in {{bug|231936}}. If you have issues with other files, open a bug, preferably adding a sample file that shows the problem.
 
;The program nepomukservicestub crashes at startup.
 
:A large number of fixes for crashes has been fixed for the 4.7.2 release of the KDE Workspaces and Applications. If you encounter more, please file bugs report with detailed instructions on how to reproduce the problem, as sometimes the developers are unable to trigger them in their test setups.
 
;The virtuoso-t process hangs at 100% CPU.
 
:Virtuoso-t is a key component of the old Semantic Search infrastructure and in some occasions the commands sent by the other components end up taking too much time (hence showing the effect of 100% CPU).
 
Virtuoso is no longer used by Semantic Search starting the Applications 4.13 release.
 
;Sometimes Nepomuk consumes too much RAM.
 
:Many of these problems have been fixed, in other cases however the developers are unable to reproduce the issues correctly. In this case, providing examples and test cases to [http://bugs.kde.org/ bug reports] increase the chances to get these bugs fixed.
 
;Search accesses the disk too much on startup.:
 
:A throttling mechanism implemented in the file indexer, versions after KDE SC 4.8 should no longer have this issue.
 
;My Search database has been corrupted. How do I clean it?
 
:In the extreme case your database is really corrupted and all other attempts have failed, you can delete the <tt>$KDEHOME/share/apps/nepomuk</tt> directory (where <tt>$KDEHOME</tt> is usually <tt>.kde</tt> or <tt>.kde4</tt> in your home directory) while Nepomuk is not running. The database will be cleared, but you will also lose existing information such as tags, ratings and comments.
 
== Advanced troubleshooting ==
 
==共享和隐私==
 
在给出其它链接前我要指出的是：共享 Nepomuk 数据。如果你的标记（tags），评分（ratings）和注释（comments）能够在你发送文件给其他人时同时共享给他会很棒。但是,要是你给一个联系人打上了“麻烦”的标签('在床上烦人')，然后发送这个联系人的信息给一个共同的好友，但你又不希望这个标签也一并发送过去...
 
这个问题当然在考虑之中，是 Nepomuk 研究的一个重要课题。由于这些隐私顾虑，外加技术挑战，所以暂时 Nepomuk 内容是私有的。放心，Nepomuk 团队尽其可能尊重你的隐私。
 
==更多信息==
 
The new Search technology (post KDE Applications 4.13):
* [http://dot.kde.org/2014/02/24/kdes-next-generation-semantic-search user information article on the dot]
* [http://community.kde.org/Baloo Developer information on community.kde.org]
* [http://en.wikipedia.org/wiki/Semantic_desktop Wikipedia - Semantic Desktop]
 
The old Search technology:
* [http://techbase.kde.org/Projects/Nepomuk Nepomuk pages for developers on KDE TechBase]
* [http://nepomuk.kde.org/discover/user NEPOMUK KDE site]
* [http://en.wikipedia.org/wiki/NEPOMUK_(framework)  Wikipedia - NEPOMUK Framework]
* [http://nepomuk.semanticdesktop.org/nepomuk/ NEPOMUK website]
* [http://dot.kde.org/2009/12/10/exploring-new-nepomuk-features-mandriva-linux-2010 article explaining Nepomuk on the DOT]
* [http://kdenepomukmanual.wordpress.com Getting started user manual]
 
[[Category:系统/zh-cn]]

Latest revision as of 05:10, 9 May 2018

Other languages:

Semantic Search

The aim of this page is not to fully explain KDE's Semantic Search technology and every detail, but to give a short overview, some examples, share the vision behind it and link to relevant information on the web.

Baloo is the next generation of semantic search

From KDE Applications 4.13 onwards, the 'Baloo' file indexing and file search framework replaces Nepomuk. Read details on the changes for Applications 4.13 here. Semantic Search no longer uses a single, big database, but separate, specialized databases for each type of data. The new search databases are in $HOME/.local/share/baloo. If you upgraded to KDE Applications 4.13 from an earlier KDE release, you can delete $KDEHOME/share/apps/nepomuk.

简短说明

As the Glossary mentions, Semantic Search is about classification, organisation and presentation of data. It is not an application, but a component which can be used by developers within applications.

Try out in Dolphin

For example, the Dolphin file manager makes use of Search. In KDE Applications versions prior to 4.13 Semantic Search must be enabled from System settings -> Desktop search. The information sidebar of Dolphin (Control -> Panels -> Information, or press F11) presents information extracted by Search about the selected file, and also allows you to assign tags, ratings and comments to files. This information is then stored and indexed by Search. You can then search for metadata using the navigation bar in Dolphin. Click to Find, or press Ctrl+F, and search for file names or file contents.


功能

KDE's Semantic Search offers several 'layers' of functionality to applications. The first and most simple of those is manual tagging, rating and commenting, as used in Dolphin. This helps you to find your files faster, but is also a lot of work.

To make finding files containing text easier, Search offers a second functionality: indexing the text of files. You can find files by entering some words which you know are in there, or just (part of) their title.

The third layer is a very complex one, and the reason why the underlying technology, Nepomuk, was conceived as a research project of several companies and universities in the European union. This is where you will find difficult words like 'semantic desktop' and 'ontologies'. Basically, it is about context and relationships.

Indexing files

Search does not index every file on the hard drive. Its default configuration in most Linux distributions excludes some common patterns for backup files and configuration directories. You can change this in System Settings -> Desktop Search. Add folders to be excluded. If you want to turn off indexing of files entirely, just add your home folder there.

In System Settings you can also control whether Search indexes files on removable media such as USB drives and CD-ROMs. In KDE Applications 4.13 this is not available, removable media are not indexed. Future versions are planned to reintroduce this functionality.

例子

Let me try to explain what Semantic Search offers using two examples. These features are not available fully yet - the base is there but application developers need to integrate this in their applications.

关系（Relationship）

假设你2周前从你的某个好友手上收到一张照片。你随后保存照片到电脑的某个地方。现在你如何找到那个文件哪？如果你不记得保存的位置，你就杯具了（人生是个茶几，你是个杯具）。

Now Semantic Search aims to help you. You know this file came from that friend of yours, your computer does not know. Search, however, can remember this relationship. Searching on the name of your friend will therefore pop up the photo!

Another potential relationship is between a web page you copied text from and the document you pasted it into, or two images showing the same car. Such relations can sometimes be extracted from the files themselves (you could analyze photos and see who or what is on there) or supplied by the applications involved (as in the above email example). This part of Search is still under heavy development, and needs integration in applications, so you can expect it to take a few more years to really shine.

All in all, this part of Semantic Search is about making search smart. Think about how Google tries to be smart with your searches: when you search for a hotel and a city name, it shows above the website results a google map showing hotels in the city you mentioned! It might even suggest a better name in case you made a spelling mistake. Google also tries to put the most relevant information on top of the list of results, using complex calculations on relationships (links) between websites. Semantic Search will be able to offer such smart results and order them on relevancy using relationship information.

语境（Context）

These relationships can not only help you while searching for files, but also have an influence on applications and what information they present. Note that this way of using Search is still more a vision than reality! Many of the components are in place, but it is not yet integrated in applications and the desktop as a whole.

这里有个例子讲把语境认知（context awareness）带到桌面上助你工作更有效率。

比如说你正在整理会议上摘的笔记。这时手机响了，某人问你要带报价的电子表格，还要你根据客户要求进行修改。再多来几个打扰后，你会发现整个桌面全是文件和窗口...

如果能更好的组织这一切会非常棒，对吗？

Enter 'activities'. These have been introduced in Plasma, and currently offer different 'desktops'. They are a bit like virtual desktops, except that the desktop itself changes, not the set of applications. Different widgets, background, things like that. Of course, since Plasma 4.3, each virtual desktop can have its own activity, bringing the two in sync.

如果程序和桌面认识活动，你可以根据经常工作的任务创建活动。所以如果你经常不得不修改带报价的电子表格，你创建这样一个活动：摆放一个「文件夹视图」（或多个）部件到桌面上，添加一个计算器和一个 todo 部件来记录还需要修改的东西。可能需要一个「邮件文件夹」部件来显示有关报价表问题的邮件！

一旦有人问报价问题，你就切换到这个活动。打开表格程序。表格程序认识你的活动，它的最近打开列表显示的是报价表格，不是你在另外一个活动工作的存货清单！Kopete，这个聊天程序显示着某个知道有关价格的同事，因为她是你经常在当前这个活动聊天的对象。

等你完成后，你回到另外一个活动，所有程序再一次调整它们的行为来适应你当前的工作。

这样一个基于活动的工作流程的收益会远远超越你最初的期望。它不但能帮你找到文件和联系人，还有助于切换任务本身。人脑不擅长多任务-人类切换任务后需要花费几分钟来达到正常速度。改变'环境'能大大加快反应，即使只是屏幕上的。把它跟你假日收拾包裹时的情绪对比下！

当然，上面所述很大程度与电脑后头工作的人是在办公室还是在家有关。游戏玩家或临时用户可能不太会用到这些活动。

The scenario described above is already partially implemented in the Activities but much work is still left.

Frequently Asked Questions

The following is taken from a KDE forums post. Please feel free to add/remove/modify details if you have the time!

What is the Nepomuk Semantic Desktop, and the Strigi Desktop File Indexer?
Nepomuk and Strigi are technologies part of what delivers the abilities of the Semantic Search in KDE. Both are not used directly in the latest generation of KDE's Semantic Search (details), however their successors share much of their code and concepts. Semantic Search provides a way to organize, annotate and build relationships among the data (not only file name and content, but for example which applications used a certain file, or how it is tagged). A number of KDE applications and workspaces use this basic infrastructure to deliver features such as email tagging (KMail) or activity setup (Plasma).
The file indexing allows applications such as Dolphin to search for files based on content, name, or other meta-data (e.g. tags) associated to indexed files. Such an indexer can also index non-text files, such as PDFs, by accessing the meta-data contained in these files (author, publication information, etc.). Some KDE components ship additional "analyzers" for more file types.
Why do we need both Akonadi and Semantic Search? Aren't they doing the same thing?
In short, Akonadi provides a cache of PIM data like calendar items, contacts and email, which is used by applications like KMail and Korganizer but also the calendar build in Plasma. Semantic Search plugs in Akonadi to provide search functionality. How Baloo offers search is actually up to the application. In case of KDE PIM, Xapian is used to provide indexing and search.
How can I disable the semantic desktop?
File indexing can be disabled by adding the users' home folder to the System Settings -> Desktop Search -> Do not search in these locations list. The other functionality is part of the applications that use it and thus can't be disabled without crippling these applications. For example, to not have any search in KMail you'll have to simply remove KMail...

In versions of the KDE Applications before 4.13, Semantic Search would have components running separate from applications. This functionality could be disabled by unchecking Enable Nepomuk File Indexer in the Desktop Search section of System Settings. In case you want to turn off all semantic features, uncheck Enable Nepomuk Semantic Desktop. Notice that this will turn off search in Dolphin as well.

Notice that with the latter option some programs who use Semantic Search for meta-data will offer reduced functionality: for example KMail will not be able to tag mail, or Plasma activities will not offer additional features such as icons, or program data information.
Baloo/Semantic Search is eating 100% CPU! What do I do?
Just wait. Certain files are very hard or even impossible to Index. At the moment, this includes for example text files of over 50 megabyte. When Search finds these, it will try for a fixed time. When it fails, it will try to find out what file is broken and disable indexing it in the future. As it indexes files in batches of about 40, it has to find the problematic file by indexing that bunch in parts: first half/second half, index problematic half in pieces again, until the file is found. This can take up to 30 minutes of heavy cpu usage. Unfortunately, while Baloo will not start to index a new batch of 40 files while on battery power, it continues to determine the broken file while on battery. This behaviour has been fixed in in KDE Applications 4.13.1 (it will stop indexing immediately when the power cord is unplugged) and the time the search for each file can take has been reduced to about 10 minutes. The Semantic Search team is working on improving the indexing tools to handle more difficult files.
Why do I have nepomukservicestub processes even though I've disabled Nepomuk?
It may be a bug. Please file a bug report with a complete description of your problem and the steps to trigger it.
File indexing of PDF/some other file types doesn't work.
PDF indexing is a known issue and it's being tracked in bug #231936. If you have issues with other files, open a bug, preferably adding a sample file that shows the problem.
The program nepomukservicestub crashes at startup.
A large number of fixes for crashes has been fixed for the 4.7.2 release of the KDE Workspaces and Applications. If you encounter more, please file bugs report with detailed instructions on how to reproduce the problem, as sometimes the developers are unable to trigger them in their test setups.
The virtuoso-t process hangs at 100% CPU.
Virtuoso-t is a key component of the old Semantic Search infrastructure and in some occasions the commands sent by the other components end up taking too much time (hence showing the effect of 100% CPU).

Virtuoso is no longer used by Semantic Search starting the Applications 4.13 release.

Sometimes Nepomuk consumes too much RAM.
Many of these problems have been fixed, in other cases however the developers are unable to reproduce the issues correctly. In this case, providing examples and test cases to bug reports increase the chances to get these bugs fixed.
Search accesses the disk too much on startup.
A throttling mechanism implemented in the file indexer, versions after KDE SC 4.8 should no longer have this issue.
My Search database has been corrupted. How do I clean it?
In the extreme case your database is really corrupted and all other attempts have failed, you can delete the $KDEHOME/share/apps/nepomuk directory (where $KDEHOME is usually .kde or .kde4 in your home directory) while Nepomuk is not running. The database will be cleared, but you will also lose existing information such as tags, ratings and comments.

Advanced troubleshooting

共享和隐私

在给出其它链接前我要指出的是：共享 Nepomuk 数据。如果你的标记（tags），评分（ratings）和注释（comments）能够在你发送文件给其他人时同时共享给他会很棒。但是,要是你给一个联系人打上了“麻烦”的标签('在床上烦人')，然后发送这个联系人的信息给一个共同的好友，但你又不希望这个标签也一并发送过去...

这个问题当然在考虑之中，是 Nepomuk 研究的一个重要课题。由于这些隐私顾虑，外加技术挑战，所以暂时 Nepomuk 内容是私有的。放心，Nepomuk 团队尽其可能尊重你的隐私。

更多信息

The new Search technology (post KDE Applications 4.13):

The old Search technology:

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