The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Current keyword based search engines are not able to search semantics in web pages. In this paper we present framework for semantic based web content mining system using semantic ontology and SPARQL. A major challenge in the work involves building ontology database from natural language web pages. Second challenge is
Information retrieval system is taking an important role in current search engine which performs searching operation based on keywords which results in enormous amount of data available to the user, from which user cannot figure out the essential and most important information. This limitation may be overcome by a new
The Internet has fundamentally changed the way we collect, access, and deliver information. However, this now means that finding the exact information we need is a significant problem. While search engines can find information based on the keywords we provide, using this technique alone is insufficient for rich
With an exponential growth in the amount of information available in diverse domains, the traditional information retrieval (IR) approaches which based on keywords can not meet the semantic needs of users. Semantic query, as an application of semantic Web, has shown significant potential in improving the performance
understanding of domain in which semantics of data is machine understandable. Second, we make in Raspberry Pi an interface which has the capability to recognize speech queries and give an oral response. Our interface analyzes each speech query, convert speech to text and extract keywords from the text. Later, these keywords are
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.