| Abstract [eng] |
The amount of data in the Web is increasing exponentially. Humans by themselves are not able to cope with the increasing demand of various data every day. In our every day lives this manifests in struggle to schedule everything as tightly as possible and absorb as much information as possible in as little time as possible. To aid in the increasing demand of data, computers have been used almost as much increasingly well. However, current state of the Web (which provides us with almost all everyday data) is not perfect for usage by automated computers. The Internet mostly provides us with data in text or image format that computers can merely display, but they can not comprehend the meaning of it. This situation calls for a solution which involves semanticizing current text-only Internet, i.e. giving meaning to the text, which computers could understand and manipulate as well as humans do now. This paper investigates the means to approach the lack of machine understandable text on the Web and suggests a tool which can aid humans in semanticizing it. |
