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1.
公开(公告)号:MY158357A
公开(公告)日:2016-09-30
申请号:MYPI2012005373
申请日:2012-12-12
Applicant: MIMOS BERHAD
Inventor: JASBEER SINGH ATMA SINGH , FAROUQ H HAMED , DICKSON LUKOSE , NOR EZAM SELAN
Abstract: 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.
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公开(公告)号:MY170600A
公开(公告)日:2019-08-20
申请号:MYPI2013702274
申请日:2013-11-27
Applicant: MIMOS BERHAD
Inventor: KHALIL BEN MOHAMED , BENJAMIN CHU MIN XIAN , FAROUQ H HAMED , DICKSON LUKOSE
Abstract: The present invention relates to a method for converting a knowledge base (110) to binary form. The method includes converting ontology and conceptual structure of a knowledge base (110) to binary form. An ontology translator (121) converts the ontology of a knowledge base (110) to conceptual binary array (CBA) and descendant?s binary array (DBA), while a conceptual structure translator (122) converts the conceptual structure of a knowledge base (110) to CBA, relations binary array (RBA) and graph binary array (GBA).
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