公开(公告)号：EP2411930A4

公开(公告)日：2014-03-12

申请号：EP10756392

申请日：2010-03-23

Applicant: MIMOS BERHAD

Inventor： NAGENDRAN A L PERUMAL ,  CHOW YUAN KAI ,  AMRU YUSRIN AMRUDDIN

IPC: G06F17/30 ,  G06F17/00 ,  G06F17/40

CPC classification number: G06F17/30864

公开(公告)号：MY179438A

公开(公告)日：2020-11-06

申请号：MYPI2011006264

申请日：2011-12-23

Applicant: MIMOS BERHAD

Inventor： NAGENDRAN M PERUMAL ,  CHOW YUAN KAI ,  NIZAMUDDIN ARIFFIN ,  KOH MAY FERN

Abstract: An Enterprise Application Integration system (102) comprising a workflow module (106), and at least one connector (108) to one or more further modules, wherein data is mapped between different modules (14, 18, 22, 26) by reference to semantic data mapping rules defined by an ontology (110)

公开(公告)号：WO2010110645A3

公开(公告)日：2010-12-29

申请号：PCT/MY2010000033

申请日：2010-03-23

Applicant: MIMOS BERHAD ,  NAGENDRAN A L PERUMAL ,  CHOW YUAN KAI ,  AMRU YUSRIN AMRUDDIN

Inventor： NAGENDRAN A L PERUMAL ,  CHOW YUAN KAI ,  AMRU YUSRIN AMRUDDIN

IPC: G06F17/40 ,  G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30864

Abstract: The present invention relates generally to a system for automatic semantic-based mining that enables web mining for populate semantic artifacts data to be carried out with minimal user interaction.

Abstract translation: 本发明一般涉及一种用于自动基于语义的挖掘的系统，其能够以最小的用户交互来进行填充语义伪像数据的网络挖掘。

公开(公告)号：WO2009145605A2

公开(公告)日：2009-12-03

申请号：PCT/MY2009000065

申请日：2009-05-29

Applicant: MIMOS BERHAD ,  CHOW YUAN KAI ,  PERUMAL NAGENDRAN

Inventor： CHOW YUAN KAI ,  PERUMAL NAGENDRAN

IPC: G06F17/21 ,  G06F17/22 ,  G06F17/30

CPC classification number: G06F17/30707 ,  G06F17/30734

Abstract: Document categorization system is a tool for matching objects in an ontology (101) against text documents. Relationship based object document matcher (100) will parse 5 the text document and returns the object name to which it's related to in the ontology (101 ). These attributes comprise of data objects and its relationships, either object or data type relationships. The Relationship based object document matcher (100) matches the attributes of all the objects in the ontology against the contents of the text document. When the objects attributes are matched in the text, the document 0 matching probability index increases. The document with the highest document matching probability index will create a new relationship in the ontology (101 ) between the document and the matched object.

Abstract translation: 文档分类系统是将本体（101）中的对象与文本文档进行匹配的工具。 基于关系的对象文档匹配器（100）将解析文本文档，并返回本体（101）中与之相关的对象名称。 这些属性包括数据对象及其关系，无论是对象还是数据类型关系。 基于关系的对象文档匹配器（100）将本体中所有对象的属性与文本文档的内容相匹配。 当对象属性在文本中匹配时，文档0匹配概率指数增加。 具有最高文档匹配概率索引的文档将在文档和匹配对象之间的本体（101）中创建新的关系。