scholarly journals IT Gaining Ground in Learning

2013 ◽  
Vol 8-9 ◽  
pp. 37-44 ◽  
Author(s):  
Iasmina Leila Ermalai

Continuously emerging forms of eLearning like MOOC (Massive Open Online Courses), PLE (Personal Learning Environment) and the use of Semantic Web standards in learning environments, are consistent proof that IT, the Internet, the World Wide Web, Content Management Systems, audio/video lectures, videoconferences, Semantic Web are here to stay, evolve and furthermore, to take control of the learning process, making from it a flexible, viable, profitable and extensively used solution for delivering knowledge. In this general context, the present paper offers an eLearning state-of-the-art and an overview of the trends and technologies proposed, developed and implemented in a particular eLearning environment, over the last years, as part of a postdoctoral research program. The mentioned environment was the Moodle portal used at the “Politehnica” University of Timisoara, the implemented standards were the hCard and hCalendar microformats and the proposed model was one of collective learning through question answering.

2005 ◽  
pp. 203-223
Author(s):  
Geun-Sik Jo ◽  
Jason J. Jung

This chapter introduces the ontology-supported Web content management. Since the Web was regarded as one of the most important tools for searching relevant information, many studies have been attempting to develop efficient and accurate management of Web content and resources. We have been focusing on how to exploit the ontology to support semantic conceptualization of information on the Web. Especially, the emergence of semantic Web emphasizes the importance of the ontological processes. In this chapter, we will mention content management systems on the semantic Web, and then, we will introduce two applications from viewpoints of personalized content and electronic commerce as case studies.


Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Lars Vogt ◽  
Roman Baum ◽  
Philipp Bhatty ◽  
Christian Köhler ◽  
Sandra Meid ◽  
...  

Abstract We introduce Semantic Ontology-Controlled application for web Content Management Systems (SOCCOMAS), a development framework for FAIR (‘findable’, ‘accessible’, ‘interoperable’, ‘reusable’) Semantic Web Content Management Systems (S-WCMSs). Each S-WCMS run by SOCCOMAS has its contents managed through a corresponding knowledge base that stores all data and metadata in the form of semantic knowledge graphs in a Jena tuple store. Automated procedures track provenance, user contributions and detailed change history. Each S-WCMS is accessible via both a graphical user interface (GUI), utilizing the JavaScript framework AngularJS, and a SPARQL endpoint. As a consequence, all data and metadata are maximally findable, accessible, interoperable and reusable and comply with the FAIR Guiding Principles. The source code of SOCCOMAS is written using the Semantic Programming Ontology (SPrO). SPrO consists of commands, attributes and variables, with which one can describe an S-WCMS. We used SPrO to describe all the features and workflows typically required by any S-WCMS and documented these descriptions in a SOCCOMAS source code ontology (SC-Basic). SC-Basic specifies a set of default features, such as provenance tracking and publication life cycle with versioning, which will be available in all S-WCMS run by SOCCOMAS. All features and workflows specific to a particular S-WCMS, however, must be described within an instance source code ontology (INST-SCO), defining, e.g. the function and composition of the GUI, with all its user interactions, the underlying data schemes and representations and all its workflow processes. The combination of descriptions in SC-Basic and a given INST-SCO specify the behavior of an S-WCMS. SOCCOMAS controls this S-WCMS through the Java-based middleware that accompanies SPrO, which functions as an interpreter. Because of the ontology-controlled design, SOCCOMAS allows easy customization with a minimum of technical programming background required, thereby seamlessly integrating conventional web page technologies with semantic web technologies. SOCCOMAS and the Java Interpreter are available from (https://github.com/SemanticProgramming).


2019 ◽  
Vol 15 (4) ◽  
pp. 41-56 ◽  
Author(s):  
Ibukun Tolulope Afolabi ◽  
Opeyemi Samuel Makinde ◽  
Olufunke Oyejoke Oladipupo

Currently, for content-based recommendations, semantic analysis of text from webpages seems to be a major problem. In this research, we present a semantic web content mining approach for recommender systems in online shopping. The methodology is based on two major phases. The first phase is the semantic preprocessing of textual data using the combination of a developed ontology and an existing ontology. The second phase uses the Naïve Bayes algorithm to make the recommendations. The output of the system is evaluated using precision, recall and f-measure. The results from the system showed that the semantic preprocessing improved the recommendation accuracy of the recommender system by 5.2% over the existing approach. Also, the developed system is able to provide a platform for content-based recommendation in online shopping. This system has an edge over the existing recommender approaches because it is able to analyze the textual contents of users feedback on a product in order to provide the necessary product recommendation.


Information ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 27 ◽  
Author(s):  
Jose-Manuel Martinez-Caro ◽  
Antonio-Jose Aledo-Hernandez ◽  
Antonio Guillen-Perez ◽  
Ramon Sanchez-Iborra ◽  
Maria-Dolores Cano

Sign in / Sign up

Export Citation Format

Share Document