Multi-documents summarization based on clustering of learning object using hierarchical clustering

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

The Open Educational Resources (OER) is a portal of teaching, learning and research resources that is available in public domain and freely accessible. Learning contents or Learning Objects (LO) are granular and can be reused for constructing new learning materials. LO ontology-based searching techniques can be used to search for LO in the Indonesia OER. In this research, LO from search results are used as an ingredient to create new learning materials according to the topic searched by users. Summarizing-based grouping of LO use Hierarchical Agglomerative Clustering (HAC) with the dependency context to the user's query which has an average value F-Measure of 0.487, while summarizing by K-Means F-Measure only has an average value of 0.336.

Original languageEnglish
Article number012053
JournalJournal of Physics: Conference Series
Volume978
Issue number1
DOIs
Publication statusPublished - 16 Mar 2018
Event2nd International Conference on Computing and Applied Informatics 2017, ICCAI 2017 - Medan, Indonesia
Duration: 28 Nov 201730 Nov 2017

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