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Gathering the most relevant data for one's need, from the huge collection of data in the internet is a work of great difficult. To make it easier, we propose an application called text clustering, which is an automatic grouping of text documents into clusters, so that documents within a cluster defines the similarity between them, but they are not similar to documents in other clusters. Most of existing...
Humanoid robot is a robot that has intelligence like human. In this research, the team has build a robot called by FLoW. The robot is designed to have the ability as human beings, one of the ability is able to communicate. In the process of communication requires media, one of them is sound. This system is built to help the development research of ER2C (EEPIS Robotic Research Center) in building a...
People use social media resources like Twitter, Facebook, forums etc. to shareand discuss various activities or topics. By aggregating topic trends acrossmany individuals using these services, we seek to construct a richer profileof a person's activities and interests as well as provide a broader context ofthose activities. This profile may then be used in a variety of ways tounderstand groups as...
India is a multilingual country (22 official languages) and again the population of about 120 millions in which the category of visually challenged persons is about 15% in 6% of physically challenged persons. [National Sample survey by M.S.] In India these 15 % of VC peoples live at different locations and use the native language of that location for communication. It has therefore been a dream for...
In view of the knowledge management of organizations, this paper focuses on the text knowledge management. The characteristics and problems of knowledge management of organizations are analyzed. The thought that text knowledge can be seen as services is put forward. The key technologies for building and managing text services are analyzed. Cloud architecture for text service management is put forward...
Since Jim Gray introduced the concept of rdquodata cuberdquo in 1997, data cube, associated with online analytical processing (OLAP), has become a driving engine in data warehouse industry. Because the boom of Internet has given rise to an ever increasing amount of text data associated with other multidimensional information, it is natural to propose a data cube model that integrates the power of...
This paper presents an information extraction system which can precisely extract semantic elements from texts by using OWL-based domain ontologies. In the system, each inputted text is viewed as a non-formalized instance of a domain ontology. And the outputted semantic elements extracted from the text are formalized elements composed of classes, individuals and properties. To perform the extraction,...
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