An Ontology-Driven Methodology To Derive Cases From Structured And Unstructured Sources
The problem-solving capability of a Case-Based Reasoning (CBR) system largely depends on the richness of its knowledge stored in the form of cases, i.e. the CaseBase (CB). Populating and subsequently maintaining a critical mass of cases in a CB is a tedious manual activity demanding vast human and o...
Saved in:
Main Author: | Manickam, Selvakumar |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.usm.my/46234/1/Selvakumar%20Manickam24.pdf http://eprints.usm.my/46234/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ontology-Based Source Code Retrieval Model To Support Program Comprehension
by: Kadar, Rozita
Published: (2019) -
Multimodal Semantics Integration Using Ontologies Enhanced By Ontology Extraction And Cross Modality Disambiguation
by: Shareha, Ahmad Adel Ahmad Abu
Published: (2012) -
CPT113 – Programming Methodology & Data Structure Methodologi Pengaturcaraan & Struktur Data
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2021) -
Semantic Lexical Alignment For Domain-Specific Ontologies.
by: Abu-Shareha, Ahmad Adel, et al.
Published: (2009) -
Concept And Relation Extraction Framework For Ontology Learning
by: Al-Aswadi, Fatima Nadeem Salem
Published: (2023)