Linking and Maintaining Quality of Data about MOOCs Using Semantic Computing

Chinmay Dhekne; Srividya Bansal

doi:10.1109/ICSC.2017.100

Linking and Maintaining Quality of Data about MOOCs Using Semantic Computing

Chinmay Dhekne, Srividya Bansal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Emergence of Linked Data has made it possible to make sense of huge data that is scattered all over the web, and link data from multiple heterogeneous sources. This leads to the challenge of maintaining the quality and integrity of Linked Data, i.e., ensuring outdated data is removed and latest data is included. The focus of this paper is devising strategies to effectively integrate data from multiple sources, publish it as Linked Data, and maintain the quality of Linked Data. The domain used in the study is online education. We present the integration of data from various MOOC providers and algorithms for incrementally updating linked data to maintain their quality in order to constantly keep the users engaged with up-to-date data. Experimental results of the evaluation of the algorithms are presented.

Original language	English (US)
Title of host publication	Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-84
Number of pages	4
ISBN (Electronic)	9781509048960
DOIs	https://doi.org/10.1109/ICSC.2017.100
State	Published - Mar 29 2017
Event	11th IEEE International Conference on Semantic Computing, ICSC 2017 - San Diego, United States Duration: Jan 30 2017 → Feb 1 2017

Other

Other	11th IEEE International Conference on Semantic Computing, ICSC 2017
Country	United States
City	San Diego
Period	1/30/17 → 2/1/17

Keywords

Data quality
Ontology design
Semantic querying
Semantic web

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computer Networks and Communications

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Dhekne, C & Bansal, S 2017, Linking and Maintaining Quality of Data about MOOCs Using Semantic Computing. in Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017., 7889510, Institute of Electrical and Electronics Engineers Inc., pp. 81-84, 11th IEEE International Conference on Semantic Computing, ICSC 2017, San Diego, United States, 1/30/17. https://doi.org/10.1109/ICSC.2017.100

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abstract = "Emergence of Linked Data has made it possible to make sense of huge data that is scattered all over the web, and link data from multiple heterogeneous sources. This leads to the challenge of maintaining the quality and integrity of Linked Data, i.e., ensuring outdated data is removed and latest data is included. The focus of this paper is devising strategies to effectively integrate data from multiple sources, publish it as Linked Data, and maintain the quality of Linked Data. The domain used in the study is online education. We present the integration of data from various MOOC providers and algorithms for incrementally updating linked data to maintain their quality in order to constantly keep the users engaged with up-to-date data. Experimental results of the evaluation of the algorithms are presented.",

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N2 - Emergence of Linked Data has made it possible to make sense of huge data that is scattered all over the web, and link data from multiple heterogeneous sources. This leads to the challenge of maintaining the quality and integrity of Linked Data, i.e., ensuring outdated data is removed and latest data is included. The focus of this paper is devising strategies to effectively integrate data from multiple sources, publish it as Linked Data, and maintain the quality of Linked Data. The domain used in the study is online education. We present the integration of data from various MOOC providers and algorithms for incrementally updating linked data to maintain their quality in order to constantly keep the users engaged with up-to-date data. Experimental results of the evaluation of the algorithms are presented.

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KW - Ontology design

KW - Semantic querying

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Linking and Maintaining Quality of Data about MOOCs Using Semantic Computing

Abstract

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Keywords

ASJC Scopus subject areas

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