Resource:Â Semantic MediaWiki
Semantic MediaWiki (SMW) is a free extension of MediaWiki â the wiki-system powering Wikipedia â that helps to search, organise, tag, browse, evaluate, and share the wikiâs content. While traditional wikis contain only texts which computers can neither understand nor evaluate, SMW adds semantic annotations that bring the power of the Semantic Web to the wiki.
Introduction to Semantic Media Wiki
Wikipedia should be able to provide the answer: it contains all large cities, their mayors, and articles about the mayor that tell us about their gender. Yet the question is almost impossible to answer for a human, since one would have to read all articles about all large cities first! Even if the answer is found, it might not remain valid for very long. Computers can deal with large datasets much easier, yet they are not able to support us very much when seeking answers from a wiki: Even sophisticated programs cannot yet read and Â«understandÂ» human-language texts unless the topic and language of the text is very restricted. The wikiâs keyword search does not help either in discovering complex relationships.
Semantic MediaWiki enables wiki communities to make some of their knowledge computer-processable, e.g. to answer the above question. The hard problem for the computer is to find out what the words in a wiki page (e.g. about cities) mean. Articles contain many names, but which one is the current mayor? Humans can easily grasp the problem by looking into a language edition of Wikipedia that they do not understand (Korean is a good start unless you are fluent there). While single tokens (names, numbers, âŠ) might be readable, it is impossible to understand their relevance in the article. Similarly, computers need some help for making sense of wiki texts.
In Semantic MediaWiki, editors therefore add Â«hintsÂ» to the information in wiki pages. For example, someone can mark a name as being the name of the current mayor. This is done by editors who modify a page and put some special text-markup around the mayorâs name. After this, computers can access this information (of course they still do not Â«understandÂ» it, but they can search for it if we ask them to), and support users in many different ways.
More information can be found in the user manual.
Where SMW can help
Semantic MediaWiki introduces some additional markup into the wiki-text which allows users to add âsemantic annotationsâ to the wiki. While this first appears to make things more complex, it can also greatly simplify the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. To illustrate this, we provide some examples from the daily business of Wikipedia:
Resource:Â Semantic Web - Building OWL Ontologies
If you are interested in developing your own Semantic Web ontology or application, you may wish to check out TopBraid Composer.Â Here you may download their data sheet which describes TopBraid and what it can do.Â Even Nova Spivack, of Radar Networks apparently uses TopBraid, as he is quoted on the site as using the product.
You may download the product for a 30 day trial to use it.Â Afterwards one must purchase a license.
According to a recent news release from the companyÂ on the product:
âTopQuadrantâą, a leading semantic technology products company, today announced the general availability of TopBraid Live 2.0, a semantic application deployment platform that dramatically simplifies the creation of web services to a âclick and connectâprocess. Users can easily connect data from RDF stores, relational databases, spreadsheets, email, RSS
TopBraid Live web services can also be used to make existing data available to semantically enabled search engines such as Yahoo! SearchMonkey. TopBraid Live 2.0 marks the first application deployment technology that enables non-programmers to create and share web services that leverage the power of semantic data stores, semantic queries, semantic reasoning and semantic search engines.
Resource: Â Semantic Web Applications - IMINDI
RecentlyÂ we discoveredÂ a semantic application on the Internet based on brainstorming, and natural thought processes.Â It is called IMINDI. They are now accepting Beta accounts, and it seems well worth the time to check it out.
According to the developerâs Website:
IMINDI.com (2008). What is IMINDI? Retrieved May 28, 2008, from http://www.imindi.com/help/04What.htm.
Resource:Â Semantic Web Application - Calais
Interested in creating your own semantic metadata?Â Calais, produced by Thomson Reuters might be a solution for you.Â The web service is currently free for either commercial or non-commercial use.
One part of their service that one can put to work right away is âTagarooâ a semantic Web plug in for Word Press blogs that automatically generates semantic tags.Â All one has to do is register for an account for free.Â Â Â Upon registering an API key is emailed to you. Then it is possible to download and useÂ the plug in.
âThe Calais Web Service automatically creates rich semantic metadata for the content you submit â in well under a second. Using natural language processing, machine learning and other methods, Calais analyzes your document and finds the entities within it. But, Calais goes well beyond classic entity identification and returns the facts and events hidden within your text as well.â
OpenCalais.com (2008). About Open Calais.Â Retrieved May 23, 2008, from http://www.opencalais.com/about
Resource:Â FOAF - Friend of a friend
FOAF - is an ingenious little application that allows you to create an RDF about yourself, and your friends.
You can create your own RDF file simply by visiting the FOAF-a-Matic.
In short though, FOAF is a way to describe yourself â your name, email address, and the people youâre friends with â using XML and RDF. This allows software to process these descriptions, perhaps as part of an automated search engine, to discover information about you and the communities of which youâre a member. FOAF has the potential to drive many new interesting developments in online communities. Ben Hammerselyâs âClick to the Cliqueâ article for the Guardian Unlimited website further explores these ideas.