NDLI: Using the Semantics Inherent in Sitemaps to Learn Ontologies

Content Provider	IEEE Xplore Digital Library
Author	Algosaibi, A.A. Melton, A.C.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Kent State Univ., Kent, OH, USA (Algosaibi, A.A.; Melton, A.C.)
Abstract	The Semantic Web is a collection of components that work together so that a machine is able to process and understand information. In order for this vision to be fully realized, formal standards for representing and interpreting data must be determined and enforced. These formal standards include the Resource Description Framework (RDF) and machine processible ontologies. On the one hand, crafting an ontology manually is a difficult, time-consuming, and labor-intensive task. On the other hand, an automatically generated ontology may suffer from poor quality, including poor semantics. We are proposing a semi-automated approach in ontology development, an approach that limits the disadvantages of each above mentioned method when used in isolation. The Semantic Web is an extension of the current web. The current web itself has rich semantics, though not in a machine-readable format, and an important part of the current web is sitemaps. HTML sitemaps are useful in helping users to easily navigate websites, and they have rich taxonomic information. Thus, sitemaps could be of significant value in ontology development. Our approach evaluates related sitemaps by focusing on mining semantic information from these sitemaps and then using this information to help create ontologies. Given a set of HTML sitemaps from one domain, the proposed approach will first identify taxonomic relations to start building an ontology and then enhance the ontology by enrichment and refinement. The approach has been evaluated on several domains. The empirical experiments indicate that the approach is effective.
Sponsorship	IEEE Comput. Soc.
Starting Page	360
Ending Page	365
File Size	363366
Page Count	6
File Format	PDF
ISBN	9781479935789
DOI	10.1109/COMPSACW.2014.62
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-21
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge Representation Ontology Manuals Ontologies HTML Resource description framework Web Documents Standards Semantic Web Sitemap Semantics Taxonomic Resource Description Framework
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

A survey of semantic web standards to representing knowledge in problem solving situations

Classification of durian characteristics for semantic representation from web documents

Semantic Web Mining: Using Ontology Learning and Grammatical Rule Inference Technique

Knowledge retrieval using hybrid semantic web search

Domain Ontology Usage Analysis Framework

Knowledge extraction from online feedback system using ontology

Semantic based query optimization using ontology for knowledge management

The relational database layout to store ontology knowledge base

An Arabic language framework for semantic web

Using the Semantics Inherent in Sitemaps to Learn Ontologies

Similar Documents

A survey of semantic web standards to representing knowledge in problem solving situations

Classification of durian characteristics for semantic representation from web documents

Semantic Web Mining: Using Ontology Learning and Grammatical Rule Inference Technique

Knowledge retrieval using hybrid semantic web search

Domain Ontology Usage Analysis Framework

Knowledge extraction from online feedback system using ontology

Semantic based query optimization using ontology for knowledge management

The relational database layout to store ontology knowledge base

An Arabic language framework for semantic web

Using the Semantics Inherent in Sitemaps to Learn Ontologies