Semantic Web and Implications - Essay Example

? of Semantic Web and Implications Audience Audiences of this concept Research paper are the readers who are tech savvy including computer engineers, students and bloggers. Introduction The Web of today Suppose you are searching for the best model of a digital camera. You come across one and decide to buy this on the same day from a shop nearby. Since, you are new in town; you will first begin to search for the addresses of various electrical retailers in the area. You use online industry information. Nonetheless, you shift the obtained results to an Excel list and visit the websites of the individual traders to compare the prices of your desired camera model. You would also like to know how long the respective shops are open that day, hence, you start surfing the various websites of dealers and compile gathered information in a list. Although, the websites of the various dealers are designed very differently, it is still easy to gain information such as at the opening times of a branch. Gathering the list is a bit cumbersome, but an intellectually easy task to be accomplished. It is difficult to automatically retrieve content from various web shops, such as information like sales price are all formatted differently and embedded in different places. The Semantic Web helps to unify this complicated data in the background, without changing the layout. The Idea of ??the Semantic Web The World Wide Web is the greatest source of information ever created by human beings. The data is extensively available on the web pages and is easily accessible by anyone. But the size of the internet had become a curse for it. It takes longer time to search for required information. The search is based on key words and key words are found in almost all of the non-relevant documents as well due to which search has become difficult. Semantic Web Semantic Web is the extension of current web which is better at enabling the computers and individuals to work in cooperation. User locates the information on the internet with the help of two main tools, search engines and catalogues. Catalogues were designed by humans who were accurate in terms of results but search engines were designed to elsewhere. Search engine skims the internet websites and searches for changed pages and mechanisms of indexing. The catalogues store the information on the basis of the usage of the words. The inability to comprehend the words and identify the relationship while searching for query is the drawback identified in search engines due to which semantic web is taking place (Hendler, p.35). Anyone who enters the phrase sequence "Sales for Siemens in Germany in 2005" into a search engine receives all possible outcomes. However, no accurate answers are ever retrieved. Be it Altavista, Yahoo or Google - no search engine today is able to "understand" such a query. Search robots react to hidden tags on websites called metadata. If they do not properly classify it comes to "irrelevant results" or to a "too large outcome space”. Dissatisfied users complain about search engines, according to market research firm Jupiter Research, "Dr. Know", the all-knowing oracle of Steven Spielberg's "AI (Artificial Intelligence)", today's world of search is still far away. In the science fiction film, the protagonists asked a question, and if "Dr. Know" did not have an answer right, they simply asked again and marginalized by the context of the question further and further. The idea of ??the "semantic web" goes back to Tim Berners-Lee, the inventor of the World Wide Web. Semantic technologies allowed computers to process the content of music, images and videos in a better way. Semantically means that content does not only have a meaning, but is also related to other meanings, thus forming hierarchical classes. Future of Semantic Web and Challenges The concept is regarded as an impractical concept presented by the Web Specialists. The developers believe that the information presented online cannot be transformed into the specialist information, secondly people don’t like the graphs in RDF, moreover, businesses won’t be spending time and money in development of metadata for the websites and the information they upload on the World Wide Web. Meta Data refers to data within data. It simplifies the search as the information is placed in an organized way. Domain specific ontologies are being used in order to provide basis to the semantic web. Ontologies are important players on the internet as they allow the sharing, use and re-use of the knowledge among the webpages. Ontologies serve as a pillar for semantic web because it makes the way for semi semantic annotation online along with web retrieval of information. The corporations across the globe have planned to produce and share the knowledge presented on the World Wide Web. This collaboration is the foundation of the future of Semantic Web as developers are making improvements (Berners-Lee, p.30). Conclusion Semantic web unlocks value for the individual who are searching for information inline. It will lead to better matching due to ontologies and annotations which is more important to their needs. It will also lead to time savings because the relevant information will be retrieved by the individuals within a relatively short span of time. Problem solving will also be improved as specific results relating to the problem will appear. The future of search remains unpredicted due to the ever changing dynamics of the technology. However, the value can only be derived from the search by relying on it. In a likely manner, the utilization of vertical web indexing tools is on the rise as numerous feature searches are executed on Amazon and eBay, both vertical posts, as well as on Google Product Search. Engaging in semantic internet searching tools, which attempt to grasp more precisely the underlying plan of a search, is on the rise, likewise. Works Cited Berners-Lee, Tim, James Hendler, and Ora Lassila. "The semantic web."Scientific american 284.5 (2001): 28-37. Retrieved from http://isel2918929391.googlecode.com/svn-history/r347/trunk/RPC/Slides/p01_theSemanticWeb.pdf Accessed on 2nd May 2013. Hendler, James. "Agents and the semantic web." Intelligent Systems, IEEE16.2 (2001): 30-37. Retrieved from http://hcs.science.uva.nl/Capita-AI/2002/papers/hendler.pdf Accessed on 2nd May 2013 Read More