NDLI: Research on Semi-Automatic Construction of Domain Ontology Based on Machine Learning and Clustering Technique

Content Provider	IEEE Xplore Digital Library
Author	Lin He Han-qing Hou
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Manage., Nanjing Agric. Univ., Nanjing (Lin He; Han-qing Hou)
Abstract	In this paper we take the approach that constructed the ontology automatically, which attempted to take a method that extremely beneficial for the knowledge acquisition task was the integration of knowledge acquisition with machine learning techniques to increase the ontology construction effect, including domain concepts acquisition, taxonomy relation recognition, non-taxonomy relation recognition and ontology formalization description. This paper adopted an approach of non-dictionary Chinese word Segmentation techniques based on N-Gram to acquire domain candidate concepts, take the method based of NLP in the recognition of domain concept property relation, extracted subject, predicate and object of sentences. This triangle data can be treated as the triplet of data and object type property.
Starting Page	345
Ending Page	348
File Size	286963
Page Count	4
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Knowledge acquisition Buildings Ontologies Domain Ontology Semi-Automatic Construction Data mining concept Acquisition Hierarchy Relationship Semantic Web Clustering algorithms Machine learning domain Relationship Decision trees Pattern matching
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Using Keywords Clustering to Construct Ontological Hierarchies

Semi-automatic building of Domain Module by use of novel machine learning approach

A Domain Adaptive Ontology Learning Framework

Exploiting affinity propagation for automatic acquisition of domain concept in ontology learning

Research on Semi-automatic Domain Ontology Construction

Domain concept extraction algorithm based on Semantic Web Ontology learning

On Hierarchical Knowledge Acquisition and Application

Context-based Hierarchical Clustering for the Ontology Learning

Ontology-Based Domain Knowledge Acquisition Technology

Research on Semi-Automatic Construction of Domain Ontology Based on Machine Learning and Clustering Technique

Similar Documents

Using Keywords Clustering to Construct Ontological Hierarchies

Semi-automatic building of Domain Module by use of novel machine learning approach

A Domain Adaptive Ontology Learning Framework

Exploiting affinity propagation for automatic acquisition of domain concept in ontology learning

Research on Semi-automatic Domain Ontology Construction

Domain concept extraction algorithm based on Semantic Web Ontology learning

On Hierarchical Knowledge Acquisition and Application

Context-based Hierarchical Clustering for the Ontology Learning

Ontology-Based Domain Knowledge Acquisition Technology

Research on Semi-Automatic Construction of Domain Ontology Based on Machine Learning and Clustering Technique