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SMW在维基文本之中额外引入了某些标记，从而让用户能够为维基添加"语义标注"。一开始，这似乎让事情更加复杂了，但其却大大简化了维基的结构，有助于用户更快地找到更多的信息，并且改善了维基的总体质量和一致性。以下是使用SMW的一些好处：

SMW在维基文本之中额外引入了某些标记，从而让用户能够为维基添加"语义标注"。一开始，这似乎让事情更加复杂了，但其却大大简化了维基的结构，有助于用户更快地找到更多的信息，并且改善了维基的总体质量和一致性。以下是使用SMW的一些好处：

* Automatically-generated lists.  

* Automatically-generated lists. 自动生成列表

: Lists and tables are a natural way to view information at a glance. In some cases, non-semantic wikis contain human-generated lists; Wikipedia itself has thousands, like "List of metropolitan areas in Spain". These lists are prone to errors, since they have to be updated manually. Furthermore, the number of potentially interesting lists is huge, and it is impossible to provide all of them in acceptable quality. In SMW, lists are generated automatically. They are always up-to-date and can easily be customised to obtain further information.

: Lists and tables are a natural way to view information at a glance. In some cases, non-semantic wikis contain human-generated lists; Wikipedia itself has thousands, like "List of metropolitan areas in Spain". These lists are prone to errors, since they have to be updated manually. Furthermore, the number of potentially interesting lists is huge, and it is impossible to provide all of them in acceptable quality. In SMW, lists are generated automatically. They are always up-to-date and can easily be customised to obtain further information.

* Visual display of information.  

* Visual display of information. 显示可视化信息

: The various display formats defined by additional extensions, such as Extension "Semantic Result Formats" and Maps (formerly Semantic Maps), allow for displaying of information in calendars, timelines, graphs and maps, among others, providing a much richer view of the data than simple lists and tables would.

: The various display formats defined by additional extensions, such as Extension "Semantic Result Formats" and Maps (formerly Semantic Maps), allow for displaying of information in calendars, timelines, graphs and maps, among others, providing a much richer view of the data than simple lists and tables would.

* Improved data structure.  

* Improved data structure. 改善数据架构

: MediaWiki wikis tend to make heavy use of categories for structuring data. While these are generally helpful, consider the category on Wikipedia called "1620s births"; if the information in these pages were stored using SMW, these categories could be replaced by simple semantic values, reducing the need for a complex classification system. In addition, if semantic markup within the wiki is stored within templates, otherwise known as semantic templates, a wiki can easily gain a solid data structure. And the Page Forms (formerly Semantic Forms) extension lets administrators create forms for adding and editing the data within semantic templates, thus making the addition of semantic information even easier and more straightforward than using regular wiki text.

: MediaWiki wikis tend to make heavy use of categories for structuring data. While these are generally helpful, consider the category on Wikipedia called "1620s births"; if the information in these pages were stored using SMW, these categories could be replaced by simple semantic values, reducing the need for a complex classification system. In addition, if semantic markup within the wiki is stored within templates, otherwise known as semantic templates, a wiki can easily gain a solid data structure. And the Page Forms (formerly Semantic Forms) extension lets administrators create forms for adding and editing the data within semantic templates, thus making the addition of semantic information even easier and more straightforward than using regular wiki text.

* Searching information.  

* Searching information. 信息搜寻

: Individual users can search for specific information by creating their own queries, supported via extensions like Extension "Semantic Drilldown" and Page Forms (formerly Semantic Forms).

: Individual users can search for specific information by creating their own queries, supported via extensions like Extension "Semantic Drilldown" and Page Forms (formerly Semantic Forms).

* External reuse.  

* External reuse. 外部使用

: Data, once it is created in an SMW wiki, does not have to remain within the wiki; it can easily be exported via formats like CSV and JSON. This enables an SMW wiki to serve as a data source for other applications, or, in the case of enterprise usages, to take over the role that a relational database would normally play. Through the use of the Extension "External Data" extension, SPARQL, and other tools, one SMW-based wiki can even use the data from another, eliminating the need for redundancy between wikis. You can also query SMW's data from outside the wiki, via the API or an RDF triplestore.

: Data, once it is created in an SMW wiki, does not have to remain within the wiki; it can easily be exported via formats like CSV and JSON. This enables an SMW wiki to serve as a data source for other applications, or, in the case of enterprise usages, to take over the role that a relational database would normally play. Through the use of the Extension "External Data" extension, SPARQL, and other tools, one SMW-based wiki can even use the data from another, eliminating the need for redundancy between wikis. You can also query SMW's data from outside the wiki, via the API or an RDF triplestore.

* Integrate and mash-up data.  

* Integrate and mash-up data.  

: Data contained in an SMW installation does not have to be an isolated store of information. Extensions such as Extension "Data Transfer" and Extension "External Data" empower you to integrate external data (coming e.g. from legacy systems, web services or linked data sources) and interrelate it with existing semantic data in the wiki. Thus, an SMW-powered wiki can serve as a central information hub in an IT landscape.

: Data contained in an SMW installation does not have to be an isolated store of information. Extensions such as Extension "Data Transfer" and Extension "External Data" empower you to integrate external data (coming e.g. from legacy systems, web services or linked data sources) and interrelate it with existing semantic data in the wiki. Thus, an SMW-powered wiki can serve as a central information hub in an IT landscape.