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Proceedings ArticleDOI

A semantic approach to construct a knowledge portal for e-learning using ontology

TL;DR: This paper presents an architecture for the creation of a knowledge portal for e-learning based on the pedagogic domain ontology by using semantic web technologies and designed in such a way that the thematic knowledge as well the requisites required for clearly understanding a required subject is retrieved.
Abstract: This paper presents an architecture for the creation of a knowledge portal for e-learning based on the pedagogic domain ontology by using semantic web technologies. The knowledge portal is created by semantically relating the learning objects. A user interactive environment is created for the learners to interact with the knowledge portal to efficiently access and utilize the e-learning materials. In the existing e-learning systems that use the semantic web, the thematic knowledge is retrieved but the pre-requisites required for that content is manually grouped. This knowledge portal is designed in such a way that the thematic knowledge as well the requisites required for clearly understanding a required subject is retrieved by investigating the topic and tracking the contents based on the semantic context.
Citations
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Book ChapterDOI
01 Jan 2012
TL;DR: This paper presents how various motivation modelling solutions applied in e-learning can be integrated with educational games, and presents how learner’s motivation can be specified through Web 3.0 using metadata.
Abstract: Over the past decade there have been significant technological advantages that gradually brought us towards Web 3.0. Web 3.0 represents the next generation of Web that supports semantic and personalised Web. At the same time, the latest technological developments specific to today’s digital era have contributed to significant changes in the area of e-learning in general and educational games in particular. The latest Adaptive e-Learning Systems (AeLS) personalise the educational content and the learning process to better suit learner’s particular needs. However, keeping students motivated for the entire learning session represents a challenging task and therefore measurement and assessment of learner’s motivation is an important research area in the e-learning field. On another hand, due to the high success of gaming among young people, e-learning systems started to integrate games into the learning process. However, currently the educational games do not follow the same trend that sees games in general becoming more affective. Therefore, educational games are not motivational as they should be. This paper bridges research on motivation measurement and assessment from two areas of e-learning and gaming, and presents how various motivation modelling solutions applied in e-learning can be integrated with educational games. This chapter also presents how learner’s motivation can be specified through Web 3.0 using metadata.

8 citations

Journal ArticleDOI
TL;DR: The methodology adopted for the development of the portal for fast breeder test reactor (FBTR) is described and the ontology for the portal is created using Protege.
Abstract: A web portal for nuclear reactor domain has been developed and is christened as Knowledge Management for Nuclear Reactor (KMNuR). This article reports about the development of the portal for fast breeder test reactor (FBTR). The methodology adopted for the development of the portal is described. Formats like RDF (Resource Description Framework), OWL (Web Ontology Language), Graphs, UML (Unified Modeling Language) were used to represent nuclear reactor knowledge. The ontology for the portal is created using Protege. Central data processing system of the FBTR is taken as an example for giving the details of the functionality of KMNuR portal and its knowledge representation. http://dx.doi.org/ 10.14429/djlit.34.7002

6 citations

Journal ArticleDOI
TL;DR: This paper has made an endeavor to create an ontology and have embedded provenance information on the client side using PROV-JSON instances of the PROV-DM i.e the PROV data model.
Abstract: The semantic web has evolved over the current web and aims to provide a web that allows for easy retrieval and accessing of information by both man and machine. It provides for a wide variety of technology stacks , language standards and software components which help both man and machine to access data easily. Intelligent information retrieval and the credibility of data is managed in semantic web by the use of Provenance. However in addition to embedding provenance data there is also a need to facilitate its easy availability for the client side for the purpose of manipulation and transportation accross. This task is achieved by incorporating the use of JSON in Provenance thereby creating PROV-JSON serializations of the PROV-DM i.e the PROV data model. In this paper we have made an endeavor to create an ontology and have embedded provenance information on the client side using PROV-JSON instances. General Terms www, Intelligent web and Semantic web

6 citations

Proceedings ArticleDOI
01 Dec 2011
TL;DR: The current obstacles in knowledge sharing among CoP are reviewed and a model to support the needs that software engineers may consider when designing a knowledge portal is proposed.
Abstract: Communities of practice (CoP) are groups of individuals with common interest who communicate and share knowledge among their respective group The use of knowledge portals for CoP will assist the exchange of knowledge, thus it promotes the learning process Nevertheless, such portals may encounter many challenges to draw the interest among the members in sharing their knowledge voluntarily As the result, the portals face inactive participants among the members Knowledge sharing system such as knowledge portal is useless without knowledge sharing activity among its members In order to encourage users to share their knowledge, we first must uncover the underlying problems on why the users are reluctant to share their knowledge through the knowledge sharing system This paper reviews the current obstacles in knowledge sharing among CoP and proposes a model to support the needs that software engineers may consider when designing a knowledge portal

2 citations


Cites background from "A semantic approach to construct a ..."

  • ...Hence, this paper refers k-community or CoP as individuals who join a k-community portal or a knowledge portal....

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Journal ArticleDOI
TL;DR: This paper aims at the creation of trustable semantic web by creating provenance assertions and provides for verifying the trust ability of these assertions by providing provenance of provenance descriptions for the same.
Abstract: The Semantic web envisioned by Tim Berners lee, provides for intelligent knowledge retrieval. Although in addition to knowledge retrieval there is also a need to make the knowledge so derived as trustworthy. This requires the incorporation of trust or provenance information in the semantic web. Provenance serves as a crucial factor in enhancing the trust ability of the semantic web. This paper aims at the creation of trustable semantic web by creating provenance assertions and provides for verifying the trust ability of these assertions by providing provenance of provenance descriptions for the same. This is shown using Bundles a special data structure required for the linking of provenance bundles. Also, we have tried to illustrate how the provenance descriptions created by one application can be effectively manipulated by other application by the use of these bundles General Terms Semantic Web; Provenance; Ontology; Bundles; MentionOf

1 citations

References
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01 Jan 2002
TL;DR: An ontology defines a common vocabulary for researchers who need to share information in a domain that includes machine-interpretable definitions of basic concepts in the domain and relations among them.
Abstract: 1 Why develop an ontology? In recent years the development of ontologies—explicit formal specifications of the terms in the domain and relations among them (Gruber 1993)—has been moving from the realm of ArtificialIntelligence laboratories to the desktops of domain experts. Ontologies have become common on the World-Wide Web. The ontologies on the Web range from large taxonomies categorizing Web sites (such as on Yahoo!) to categorizations of products for sale and their features (such as on Amazon.com). The WWW Consortium (W3C) is developing the Resource Description Framework (Brickley and Guha 1999), a language for encoding knowledge on Web pages to make it understandable to electronic agents searching for information. The Defense Advanced Research Projects Agency (DARPA), in conjunction with the W3C, is developing DARPA Agent Markup Language (DAML) by extending RDF with more expressive constructs aimed at facilitating agent interaction on the Web (Hendler and McGuinness 2000). Many disciplines now develop standardized ontologies that domain experts can use to share and annotate information in their fields. Medicine, for example, has produced large, standardized, structured vocabularies such as SNOMED (Price and Spackman 2000) and the semantic network of the Unified Medical Language System (Humphreys and Lindberg 1993). Broad general-purpose ontologies are emerging as well. For example, the United Nations Development Program and Dun & Bradstreet combined their efforts to develop the UNSPSC ontology which provides terminology for products and services (www.unspsc.org). An ontology defines a common vocabulary for researchers who need to share information in a domain. It includes machine-interpretable definitions of basic concepts in the domain and relations among them. Why would someone want to develop an ontology? Some of the reasons are:

4,838 citations

01 Jan 2001
TL;DR: This paper presents an approach for implementing the eLearning scenario using Semantic Web technologies, primarily based on ontology-based descriptions of content, context and structure of the learning materials and benefits the providing of and accessing to theLearning materials.
Abstract: eLearning is fast, relevant and just-in-time learning grown from the learningrequirements of the new, dynamically changing, distributed business world. The term „Semantic Web” encompasses efforts to build a new WWW architecture that supports content with formal semantics, which enables better possibilities for searching and navigating through the cyberspace. As such, the Semantic Web represents a promising technology for realizing eLearning requirements. This paper presents an approach for implementing the eLearning scenario using Semantic Web technologies. It is primarily based on ontology-based descriptions of content, context and structure of the learning materials and benefits the providing of and accessing to the learning materials.

298 citations

Journal Article
TL;DR: It is shown how the semantic web resource description formats can be utilized for automatic generation of hypertext structures from distributed metadata and a logic-based approach to educational hypermedia using TRIPLE, a rule and query language for the semantic net.
Abstract: The challenge of the semantic web is the provision of distributed information with well-defined meaning, understandable for different parties. Particularly, applications should be able to provide individually optimized access to information by taking the individual needs and requirements of the users into account. In this paper we propose a framework for personalized e-Learning in the semantic web and show how the semantic web resource description formats can be utilized for automatic generation of hypertext structures from distributed metadata. Ontologies and metadata for three types of resources (domain, user, and observation) are investigated. We investigate a logic-based approach to educational hypermedia using TRIPLE, a rule and query language for the semantic web.

271 citations

Book ChapterDOI
09 Jun 2002
TL;DR: An overview of where the two areas meet today, and ways of how a closer integration could be profitable are sketched.
Abstract: Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on the other hand, for building up the Semantic Web. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

254 citations

Book ChapterDOI
21 Jun 2006
TL;DR: This paper describes one solution to the problem of how to collect, organize, and select Web learning resources into a coherent, focused organization for instruction to address learners’ immediate and focused learning needs.
Abstract: This paper describes one solution to the problem of how to collect, organize, and select Web learning resources into a coherent, focused organization for instruction to address learners’ immediate and focused learning needs. By exploiting the semantic relationships that characterize learning resources and learner profile, the proposed semantic-based thematic approach supports both semantic querying and conceptual navigation of learning resources pertaining to specific topics. A system has been developed and deployed within an academic setting, enabling learners to organize, search, and share the learning resources in a flexible and personalized manner.

9 citations