By Liyang Yu
The Semantic internet represents a imaginative and prescient for a way to make the massive volume of knowledge on the net instantly processable by way of machines on a wide scale. For this objective, a complete suite of criteria, applied sciences and comparable instruments were certain and built over the past couple of years and so they have now develop into the root for various new applications.
A Developer’s advisor to the Semantic Web is helping the reader to profit the center criteria, key elements and underlying strategies. It presents in-depth assurance of either the what-is and how-to features of the Semantic internet. From Yu’s presentation, the reader will receive not just a high-quality realizing concerning the Semantic net, but additionally mix every part to construct new functions at the Semantic Web.
The moment variation of this publication not just provides targeted assurance of the most recent W3C criteria resembling SPARQL 1.1 and RDB2RDF, it additionally updates the readers by way of following fresh advancements. extra particularly, it contains 5 new chapters on schema.org and semantic markup, on Semantic internet applied sciences utilized in social networks and on new functions and tasks akin to data.gov and Wikidata and it additionally offers an entire coding instance of creating a seek engine that helps wealthy Snippets.
Software builders in and scholars focusing on internet improvement or Semantic internet applied sciences will locate during this publication the main entire advisor to this fascinating box to be had at the present time. according to the step by step presentation of real-world initiatives, the place the applied sciences and criteria are utilized, they are going to collect the information had to layout and enforce state of the art applications.
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For a task like this, we suggest that we gather as much historical data as possible and analyze them to find the pattern of the weather effects. We are told that historical data (the takeoff rates at different major airports for the past, say, 5 years) does exist, but they are published in different Web sites. 2 A More General Goal: A Web Understandable to Machines 15 data we need on these Web sites are normally mingled together with other data that we do not need. To handle this situation, we will develop a specific application that acts like a crawler: it will visit these Web sites one by one, and once it reaches a Web site, it will identify the data we need and only collect the needed information (historical takeoff rates) for us.
Therefore, each Web site has to be different from its traditional form, and changes have to be made. Without going into the details, here are some changes we need to have on each Web site: • Each statement collected by our agent represents a piece of knowledge. Therefore, there has to be a way (a model) to represent knowledge on the Web. Furthermore, this model of representing knowledge has to be easily and readily processed (understood) by machines. • This model has to be accepted as a standard by all the Web sites.
Not much at all. However, without too much understanding about these statements, our agent can indeed organize them into a graph format, as shown in Fig. 1 (notice more statements have been added to the graph). 6 1 A Web of Data: Toward the Idea of the Semantic Web Fig. 1 Graph generated by our agent after visiting my personal Web page After the graph shown in Fig. 1 is created, our agent declares its success on my personal Web site and moves on to the next one. It will repeat the same process again when it hits the next Web document.