Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology

This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word le...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of computer applications 2011-01, Vol.26 (6)
Hauptverfasser:	Sathiyamurthy, K, Geetha, T V
Format:	Artikel
Sprache:	eng
Schlagworte:	Construction Distance education Distance learning Graphs Rule based Segmentation Semantics Sentences
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue	6
container_start_page
container_title	International journal of computer applications
container_volume	26
creator	Sathiyamurthy, K Geetha, T V
description	This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word level semantics allows the rule based Enconversion to be independent of the syntactic structure of the sentence. These UNL graphs are used to build a conceptual level index.
doi_str_mv	10.5120/3110-4270
format	Article
fullrecord	<record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_907965219</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2420416201</sourcerecordid><originalsourceid>FETCH-LOGICAL-p599-88fa50bf0692b0cfb3b0dbab3d176709cbad0a5f64025908005e908b3d5c18823</originalsourceid><addsrcrecordid>eNpdjk9LxDAQxYMouKx78BsEL56qk3TTJEdZ1z-wsoJ7XyZtWrqkSW1awW9voB7EubwZ5vcej5BrBneCcbjPGYNszSWckQVoKTKllDz_s1-SVYwnSJNrXuj1gphD6NuSftims37EsQ2eoq_o9gvdNJ9vFuM02EjrMNBt5iwOvvUNNRhtRRPwGDpsZ9u7rbAJTVuio3s_Bhea7ytyUaOLdvWrS3J42h42L9lu__y6edhlvdA61atRgKmh0NxAWZvcQGXQ5BWThQRdGqwARV2sgQsNCkDYJOkvSqYUz5fkdo7th_A52TgeuzaW1jn0NkzxqEHqQnCmE3nzjzyFafCp21EpVkjFucx_ANwpY2w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>881678227</pqid></control><display><type>article</type><title>Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Sathiyamurthy, K ; Geetha, T V</creator><creatorcontrib>Sathiyamurthy, K ; Geetha, T V</creatorcontrib><description>This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word level semantics allows the rule based Enconversion to be independent of the syntactic structure of the sentence. These UNL graphs are used to build a conceptual level index.</description><identifier>ISSN: 0975-8887</identifier><identifier>EISSN: 0975-8887</identifier><identifier>DOI: 10.5120/3110-4270</identifier><language>eng</language><publisher>New York: Foundation of Computer Science</publisher><subject>Construction ; Distance education ; Distance learning ; Graphs ; Rule based ; Segmentation ; Semantics ; Sentences</subject><ispartof>International journal of computer applications, 2011-01, Vol.26 (6)</ispartof><rights>Copyright Foundation of Computer Science 2011</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Sathiyamurthy, K</creatorcontrib><creatorcontrib>Geetha, T V</creatorcontrib><title>Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology</title><title>International journal of computer applications</title><description>This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word level semantics allows the rule based Enconversion to be independent of the syntactic structure of the sentence. These UNL graphs are used to build a conceptual level index.</description><subject>Construction</subject><subject>Distance education</subject><subject>Distance learning</subject><subject>Graphs</subject><subject>Rule based</subject><subject>Segmentation</subject><subject>Semantics</subject><subject>Sentences</subject><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdjk9LxDAQxYMouKx78BsEL56qk3TTJEdZ1z-wsoJ7XyZtWrqkSW1awW9voB7EubwZ5vcej5BrBneCcbjPGYNszSWckQVoKTKllDz_s1-SVYwnSJNrXuj1gphD6NuSftims37EsQ2eoq_o9gvdNJ9vFuM02EjrMNBt5iwOvvUNNRhtRRPwGDpsZ9u7rbAJTVuio3s_Bhea7ytyUaOLdvWrS3J42h42L9lu__y6edhlvdA61atRgKmh0NxAWZvcQGXQ5BWThQRdGqwARV2sgQsNCkDYJOkvSqYUz5fkdo7th_A52TgeuzaW1jn0NkzxqEHqQnCmE3nzjzyFafCp21EpVkjFucx_ANwpY2w</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Sathiyamurthy, K</creator><creator>Geetha, T V</creator><general>Foundation of Computer Science</general><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20110101</creationdate><title>Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology</title><author>Sathiyamurthy, K ; Geetha, T V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p599-88fa50bf0692b0cfb3b0dbab3d176709cbad0a5f64025908005e908b3d5c18823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Construction</topic><topic>Distance education</topic><topic>Distance learning</topic><topic>Graphs</topic><topic>Rule based</topic><topic>Segmentation</topic><topic>Semantics</topic><topic>Sentences</topic><toplevel>online_resources</toplevel><creatorcontrib>Sathiyamurthy, K</creatorcontrib><creatorcontrib>Geetha, T V</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of computer applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sathiyamurthy, K</au><au>Geetha, T V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology</atitle><jtitle>International journal of computer applications</jtitle><date>2011-01-01</date><risdate>2011</risdate><volume>26</volume><issue>6</issue><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word level semantics allows the rule based Enconversion to be independent of the syntactic structure of the sentence. These UNL graphs are used to build a conceptual level index.</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/3110-4270</doi></addata></record>
fulltext	fulltext
identifier	ISSN: 0975-8887
ispartof	International journal of computer applications, 2011-01, Vol.26 (6)
issn	0975-8887 0975-8887
language	eng
recordid	cdi_proquest_miscellaneous_907965219
source	EZB-FREE-00999 freely available EZB journals
subjects	Construction Distance education Distance learning Graphs Rule based Segmentation Semantics Sentences
title	Topic Segmentation and Evaluation Measures for E-learning based on Domain and Pedagogical Ontology
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T10%3A33%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Topic%20Segmentation%20and%20Evaluation%20Measures%20for%20E-learning%20based%20on%20Domain%20and%20Pedagogical%20Ontology&rft.jtitle=International%20journal%20of%20computer%20applications&rft.au=Sathiyamurthy,%20K&rft.date=2011-01-01&rft.volume=26&rft.issue=6&rft.issn=0975-8887&rft.eissn=0975-8887&rft_id=info:doi/10.5120/3110-4270&rft_dat=%3Cproquest%3E2420416201%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=881678227&rft_id=info:pmid/&rfr_iscdi=true