公开(公告)号：MY188277A

公开(公告)日：2021-11-25

申请号：MYPI2015704001

申请日：2015-11-05

Applicant: MIMOS BERHAD

Inventor： BENJAMIN CHU MIN XIAN ,  KHALIL BOUZEKRI ,  SHAZZAT HOSSAIN ,  TARIQUE AZIZ ,  DICKSON LUKOSE

IPC: G06F17/00

Abstract: The present invention relates to a system (100) and method for matching two or more documents. The system (100) for semantic matching of documents comprising a semantic parser (10) configured to parse the document to identify simple and complex attributes, a semantic matcher (30) configured to identify a plurality of candidate documents, filter out the candidates documents, and compute semantic similarity of documents using various semantic relationships between attributes, and a data sources manager (40) configured to manage input data sources from a data repository. The system (100) further comprising a hidden semantic knowledge extractor (20) configured to extract hidden semantic relationship between attributes and to create a discovered knowledge graph (56) from the hidden semantic relationship between attributes.

公开(公告)号：MY190232A

公开(公告)日：2022-04-06

申请号：MYPI2014703769

申请日：2014-12-12

Applicant: MIMOS BERHAD

Inventor： KHALIL BOUZEKRI ,  SHAZZAT HOSSAIN ,  DICKSON LUKOSE

Abstract: The present invention relates to a system (1000) and method for performing a semantic matching process by pruning search space right at the beginning of the semantic matching process. The system (1000) pre-processes binary conceptual structures to identify the most suitable starting point before it expands the starting point to get the best semantic matching between the two binary conceptual structures. The inputs of the system (1000) are two binary conceptual structures (G1, G2) and an ontology (800), while the final output is a percentage of an optimal semantic similarity between the two binary conceptual structures as well as the semantic matching that is used to compute the optimal semantic similarity. The most illustrative drawing: FIG. 1

公开(公告)号：MY176751A

公开(公告)日：2020-08-21

申请号：MYPI2015701631

申请日：2015-05-20

Applicant: MIMOS BERHAD

Inventor： KHALIL BOUZEKRI ,  SHAZZAT HOSSAIN ,  DICKSON LUKOSE

Abstract: The present invention relates to a system and method for diagnosing plant disease from an image. The system (1000) comprises a disease diagnosis component (100) having an image editor (110) to edit an input image. The system (1000) further comprising a disease management component (200) to select images based on priority ranking, extract image features of a plurality of system selected image (SSIMGs), compare user input image (UIIMG) with the SSIMGs, rank the SSIMGs based on priority ranking, notify the user with the SSIMGs and disease management information, and receive a user selected image (USIMG) and priority ranking and a plant data open repository (PDOR) (300) to store collection of knowledge bases of category of context and rearrange the plant disease images based on priority ranking. The disease diagnosis component (100) further includes a domain arbiter (120) to obtain necessary parameters, and contextualize the input to be processed. Figure 1