INFORMASI EKSTRAKSI BERBASIS WEB SEMANTIK PADA PEMBELAJARAN ONLINE
ABSTRACT: World Wide Web (WWW)
is currently very rapid progress, especially providing information and
presented in the form of documents. Www progress has increased the demand
relating to the content, and can be used to facilitate data in semantic search,
so it will be a purposeful and intelligent. Access and knowledge extraction
from documents online is an extremely important part in the realization of
semantic web services make available better knowledge. This study aims to provide
an online learning dynamic and creative through the availability of learning
materials available and is sourced from the web, automatically based on
ontology, the reconstruction in accordance with user preferences, the authors
raised the title: “Information Extraction Web Based Semantic On Learning On
line”Ontology plays an important role in the semantic web related semantic
enrichment, interpretation, ontology is the domain of the courses, learning
materials to produce structures and extraction of information. The main part of
the ontology is generated through the Conceptual Reference Model (CRM)
ontology. ltova is an ontology editor based on graphics, providing options for
defining ontology in the format RDF Schema (RDFS) have reasoning abilities, to
increase the RDFS ontology reasoning is complex in semantic web. In this paper
we will present the methods we currently use to model, consolidate and store
knowledge extracted from the web so that it can be re-purposed as adaptive
e-Learning content. We look at how Semantic Web technology could be used within
this process and also how such techniques might be used to provide content to
be published via the Semantic Web.
Penulis: Rusdy Agustaf
Kode Jurnal: jptmesindd150145
