November 30th, 2009 by Icestorm

Since 1990s when Internet been introduced to the market, Sir Tim B. Lee had the vision that one day Internet will able to understand human needs, and feed information right exactly what we want at the shortest time. Same goes to e-Commerce, if we can just key in the product we want to buy without too many parameters, and the Internet will able to supply us with the product that has most closest match to our needs base on our shopping behavior, our brand preferences and so on.

For instance, when you walk in to a sports ware shop in physical retail outlet, the sales personal will come and greet you. Next, she will learn your shopping pattern instantly and know your budget, brand profile and interest through asking you a few questions. She will then recommend you some product at that line, while at the same time try to upsell you some other products that have the same quality or standard as your prefered brand (base on her sales agenda and interest). You make your decision, and you buy the product she recommend base on your budget and interest level. You pay and checkout, and you walk away happily. This is the real-life scenario. However, how can the system on Internet or e-Commerce execute this kind of human interaction especially to teach the computer to learn and make judgement base on what to recommend? Well, one thing for sure this is not something will happen now cause it will take alot of computer power to calculate your interest, your shopping behavior and match with right products and return the details in Instant or Real Time manner, but what if in 2 – 3 years down the road? Something worth to think about!

Here is a slide from MyOntology that demonstrate the Semantic e-Commerce solution for your interest review.

November 28th, 2009 by Icestorm

Semantic Web was introduced long ago, and was the initial agenda of introduction of Internet by Tim B. Lee, the father of Internet.

While many of us may confuse with the term of Semantic web, it is described as the Web that can learn human langauge, can understand human word and most important element – to react on what it learn from human that giving instruction and query from internet. For very simple example, when we search for Cyberjaya, base on the user profile that constantly collected by the computer, it will able to understand that Cyberjaya is the name of a location located in Malaysia, and it is the ICT city of Malaysia, and base on the user profile and behavior information collected from Internet (with knowledge learn from other Internet users that been searching this word and their response on ‘click-through’ to the content reply from search engine, the Semantic Web wil lable to response with a series of search result that close to users needs. In short, instead of responding millions of search results (some even billions of result) where alot of web pages may be not close match to user’s need, now the user will able to get the results close to the needs. Because the user is a business executive, he often travel around the world for meeting, the results return are the content of location of Cyberjaya, the hotel and public facilities of the Cyberjaya and etc.

Above is a simple explanation of Semantic web, and there are many more sites that provide very detailed explanation and usage of Semantic Web to improve future Web experience. Mostly commonly use, explain Semantic Web as Web 3.0, with the combination of A.I. technology into Internet, we get Semantic Web.

General explanation, Web 1.0 is the Read only web, web 2.0 is the Read/Write Web, while Web 3.0, is the combination of Read/Write/Execute + A.I. elements to able to understand, analyse and response. Wikipedia has more explanation in details about Semantic Web as usual, and one of the successful Web 3.0 aplication, is call Twine, the web portal that provide information in search engine format base on Web 3.0 technology, close to human language. Techcrunch has introduce about this company Twine for a few time in the blog.

Here are some of the collection of Slides Presentations about Semantic Web to share.

Semantic, Web 3.0