公开(公告)号：MY164509A

公开(公告)日：2017-12-29

申请号：MYPI2011000253

申请日：2011-01-18

Applicant: MIMOS BERHAD

Inventor： LIM YING SEAN ,  NOR EZAM SELAN ,  DR MOHAMMAD REZA BEIK ZADEH ,  DR DICKSON LUKOSE

IPC: G06F15/16 ,  G06F11/00

Abstract: THE PRESENT INVENTION IS A SYSTEM AND METHOD TO MANAGE RESOURCES INFORMATION IN ONE OR MORE APPLICATION SERVERS (12). THE INVENTION INCLUDES A SERVER FARM (10) IN COMMUNICATION WITH A CLIENT (20) WHEREIN RESOURCES INFORMATION ARE MANAGED AND RENDERED TO BE VIEWED IN A GRAPHICAL FORMAT BY THE USER. FIG 1

公开(公告)号：MY185315A

公开(公告)日：2021-05-03

申请号：MYPI2012701213

申请日：2012-12-18

Applicant: MIMOS BERHAD

Inventor： ARUN ANAND SADANANDAN ,  TAN SIEOW YEEK ,  LIM YING SEAN ,  DICKSON LUKOSE

Abstract: The present invention relates to a semantic query system (100) and a method for processing a query. The semantic query system (100) comprises of a query manager (110), a context identifier (120), a question generator (130), a query mapper (140), a ranking component (150) and a query processor (160). When the semantic query system (100) receives a query, the context identifier (120) identifies all contexts related to the query. Thereon, the question generator (130) generates candidate questions based on the contexts. The query mapper (140) maps the query to the candidate questions by performing a syntactic analysis and a social network analysis on the candidate questions with respect to the query. The ranking component (150) produces a list of ranked candidate questions. Based on the list, the query processor (160) retrieves and ranks relevant information which is displayed as the query results.

公开(公告)号：MY184612A

公开(公告)日：2021-04-08

申请号：MYPI2013701823

申请日：2013-09-27

Applicant: MIMOS BERHAD

Inventor： ARUN ANAND SADANANDAN ,  LIM YING SEAN ,  DICKSON LUKOSE

Abstract: The present invention relates to a system and method for ranking recommendations. The system comprises of a search module (110), a review manager (120), a review analyser (130), a ranking module (140), a search engine (150), a review repository (160) and a service ranking rules repository (170). The system uses a set of rules to determine a sentiment-trust index value for ranking recommendations.