A SYSTEM AND METHOD FOR AUTOMATED GENERATION OF LEARNING OBJECT FROM ONLINE SOCIAL CONTENT

A SYSTEM AND METHOD FOR AUTOMATED GENERATION OF LEARNING OBJECT SOCIAL CONTENT BY PRODUCING A LIST OF SEMANTIC TAGS THROUGH AN ENTITY RECOGNITION IN DOMAIN ONTOLOGY. THE SYSTEM OF THE PRESENT INVENTION INCLUDES A PLURALITY OF SOCIAL CONTENTS (202); A PLURALITY OF RECOGNITION ENGINES WHICH INCLUDES A...

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Hauptverfasser: JASBEER SINGH ATMA SINGH, FAROUQ H. HAMED, DICKSON LUKOSE, NOR EZAM SELAN
Format: Patent
Sprache:eng
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Zusammenfassung:A SYSTEM AND METHOD FOR AUTOMATED GENERATION OF LEARNING OBJECT SOCIAL CONTENT BY PRODUCING A LIST OF SEMANTIC TAGS THROUGH AN ENTITY RECOGNITION IN DOMAIN ONTOLOGY. THE SYSTEM OF THE PRESENT INVENTION INCLUDES A PLURALITY OF SOCIAL CONTENTS (202); A PLURALITY OF RECOGNITION ENGINES WHICH INCLUDES AT LEAST ONE ENTITY RECOGNITION ENGINE (302, 414), AT LEAST ONE SPEECH RECOGNITION ENGINE (416), AT LEAST ONE IMAGE RECOGNITION ENGINE (428); AT LEAST ONE SEMATIC TAG ENRICHMENT ENGINE (308); AT LEAST IMAGE ONE SOCIAL CONTENT KNOWLEDGE BASE (206); AND AT LEAST ONE LEARNING OBJECT KNOWLEDGE BASE (210). THE AT LEAST ONE ENTITY RECOGNITION ENGINE (302, 414). HAVING MEANS FOR RECEIVING LEARNING OBJECT THAT IS ASSOCIATED WITH DESCRIPTION, LEARNING OBJECTIVE AND LEARNING OUTCOME; PRODUCING A LIST OF SEMANTIC TAGS UPON MATCHING OF CONCEPTS IN DOMAIN ONTOLOGY; AND FORWARDING SAID LIST OF SEMANTIC TAGS TO AT LEAST ONE SEMANTIC TAG ENRICHMENT ENGINE FOR METADATA ENRICHMENT. IN SHORT, THE PRESENT INVENTION PROVIDES FOR AUTOMATED GENERATION OF LO FROM SOCIAL CONTENTS THROUGH LO ENRICHMENT; SOCIAL CONTENT SELECTION AND METADATA ENRICHMENT AND THEREAFTER COMPOSING COMPLETE LO WHICH INCLUDES TEXT, IMAGE AND VIDEO.