Multi-layered knowledge representation for Semantic searches

Ontologies are the concepts that form the basis of a knowledge representation system which captures the semantic information of a domain. Construction of ontologies from textual information by extracting facts and patterns is becoming increasingly common. The objective of this research is to automat...

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Main Author: Chugani Reema
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59132
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-591322023-03-03T20:41:30Z Multi-layered knowledge representation for Semantic searches Chugani Reema School of Computer Engineering A*STAR Institute for Infocomm Research (I2R) Kim Jung-Jae DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Ontologies are the concepts that form the basis of a knowledge representation system which captures the semantic information of a domain. Construction of ontologies from textual information by extracting facts and patterns is becoming increasingly common. The objective of this research is to automate the process of constructing such a knowledge representation system using domain ontologies. In this study, universities are chosen as the domain to construct ontologies that can be used for interesting applications and better information retrieval. Wikipedia terms and categories are used as a dictionary for extracting information from university webpages. The resultant concepts of each university are analyzed and validated by predicting current research collaborators and competitors for a given domain expertise. It is hoped that the domain knowledge obtained from the result of this study can be used to predict potential research collaborators and competitors. Bachelor of Engineering (Computer Science) 2014-04-23T12:13:06Z 2014-04-23T12:13:06Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59132 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Chugani Reema
Multi-layered knowledge representation for Semantic searches
description Ontologies are the concepts that form the basis of a knowledge representation system which captures the semantic information of a domain. Construction of ontologies from textual information by extracting facts and patterns is becoming increasingly common. The objective of this research is to automate the process of constructing such a knowledge representation system using domain ontologies. In this study, universities are chosen as the domain to construct ontologies that can be used for interesting applications and better information retrieval. Wikipedia terms and categories are used as a dictionary for extracting information from university webpages. The resultant concepts of each university are analyzed and validated by predicting current research collaborators and competitors for a given domain expertise. It is hoped that the domain knowledge obtained from the result of this study can be used to predict potential research collaborators and competitors.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Chugani Reema
format Final Year Project
author Chugani Reema
author_sort Chugani Reema
title Multi-layered knowledge representation for Semantic searches
title_short Multi-layered knowledge representation for Semantic searches
title_full Multi-layered knowledge representation for Semantic searches
title_fullStr Multi-layered knowledge representation for Semantic searches
title_full_unstemmed Multi-layered knowledge representation for Semantic searches
title_sort multi-layered knowledge representation for semantic searches
publishDate 2014
url http://hdl.handle.net/10356/59132
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