Semantic Web Presentation at English for Science at Tallinn University of Technology

The last lesson of the English language was yesterday. It was for the final informative presentation based on reading of specialist literature. The reading was related to the Semantic Web and therefore it was the subject. The purpose was to inform of. I began by introducing the notion of a Web, talked briefly about a range, nature of information and its using. Finally, I had described a model in the Semantic Web and then turned to a conclusion.

A Web is a new way of thinking about sharing information and an open community of contributors. As this idea has been realized, it became more and more attractive to people. Web-pages are built and what is wanted is said. Particularly, this is the network effect when someone has built a website and consequently the more attractive it is for new people. As a result, a Web today has a lot of various information about any subject and therefore such a mess made it hard to find useful information.

In a Web of a wide range of information can be disagreement, deception and mistakenness. Moreover, information may be disconnected or out of date.

The first in the nature of information is natural language. As well as being natural, a statement may be ambiguous and contextually dependent. Plain English is taken for example. Alternatively, a statement in the Semantic Web has an integrated and machine-readable description. It has also a relationship with other statements.

There are several types of behaviour when information is used. Firstly, when a web-page is consulted and another web-page is clicked on it, these web-pages are considered for relevant information. Another example is a combination of several web-pages for relevant information. In those cases a visual representation is dealt with and it is based on pure raw data.

For better understanding of the actual meaning of the data a certain model is used in the Semantic Web. This model is focused on the level of the data rather than presentation. The data is described by well-known recommendations and is consumed by Semantic Web applications (search engines).

A big picture is drawn in the conclusion. It is possible for anyone to say anything about any topic. So, the challenge is to tackle a wide variety of different information. For this reason, Semantic Web languages are offered as tools to model. Those languages are Resource Description Framework (RDF), RDF Schema (RDFS) and Web Ontology language (OWL).



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