Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

Find Similar Add to Favorite

Call Number SEM-364
Collection Type Indeks Artikel prosiding/Sem
Title Semantic searches for extracting similarities in a content management system. ( hal. 113-118 )
Author Amirah Ismail, Mike Joy;
Publisher 2011 International conference on semantic technology and information retrieval 28-29 June 2011 Putrajaya Malaysia
Subject Component; formatting; style; styling; insert.
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-364 TERSEDIA
Tidak ada review pada koleksi ini: 47648
Recent content management systems have restricted means for organizing and inferring document although much of an organization's knowledge can b created in text repositories. In the semantic web search emergence,inferring and understanding can be deal by ontology-based semantic mark-up and metadata management.Whilst in the educational domain,learning objects are a fundamental resource.Literally,content management systems and repositories have restricted the means for organising and understanding the captured semantic relationships between the learning objects and other stored documents.To cater this situation,we propose the application of metametadata as a useful semantic based approach to address similarities in a domain to gather definite requirements.This paper fucuses on the existing approaches for destribing semantic relationships in content management systems and how metametadata capture the pedagogic information which can be applied to enhance the semantic information stored within such a content management systems or repository.It is understood that there is still lacking approach to address similarities in a domain that meets certain requirements but the progress for the ongoing research in the area is active and shows potential advancement. Keywords: Component; formatting; style; styling; insert.