8 research outputs found
Building a multilingual ontology for education domain using monto method
No full textOntologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like Education, Artificial Intelligence, Healthcare and so on. It is important to provide multilingual information of those domains to facilitate multi-language users. In this paper, we propose a MOnto (Multilingual Ontology) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping multilingual ontologies
MLGrafViz: multilingual ontology visualization plug-in for Protégé
No full textNatural language processing (NLP) is rapidly increasing in all domains of knowledge acquisition to facilitate different language user. It is required to develop knowledge-based NLP systems to provide better results. Knowledge based systems can be implemented using ontologies where ontology is a collection of terms and concepts arranged taxonomically. The concepts that are visualized graphically are more understandable than in the text form. In this research paper, new multilingual ontology visualization plug-in MLGrafViz is developed to visualize ontologies in different natural languages. This plug-in is developed for Protégé ontology editor. This plug-in allows the user to translate and visualize the core ontology into 135 languages
Building a multilingual ontology for education domain using monto method
No full textOntologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like Education, Artificial Intelligence, Healthcare and so on. It is important to provide multilingual information of those domains to facilitate multi-language users. In this paper, we propose a multilingual ontology (MOnto) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping multilingual ontologies
METHODS, APPROACHES, PRINCIPLES, GUIDELINES AND APPLICATIONS ON MULTILINGUAL ONTOLOGIES: A SURVEY
No full textOntologies are used in various domains to provide meaningful knowledge from data. The data can be in different natural languages. Ontologies with a lexical layer in different natural languages are needed essential to access the multilingual data by the users. Multilingual ontologies are needed to overcome this defect. Most of the multilingual ontologies are built up in English language and translated into the desired native languages. Many approaches are proposed to develop multilingual ontology applications. The aim of this article is to review the various approaches, methods for developing multilingual ontologies. The principles and guidelines for developing multilingual lexical layer are discussed. The different techniques adopted in the use and developments of multilingual ontologies are enumerated. The multilingual applications are compared using several dimensions
Feature analysis of ontology visualization methods and tools
No full textVisualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated
Feature analysis of ontology visualization methods and tools
No full textVisualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated
