Educational Information Search Service Using Ontology

Chang, Byoungchol; Ham, Dall-Ho; Moon, Dae-sung; Choi, Yong-Suk; Cha, Jaehyuk

doi:10.1109/icalt.2007.134

Cited by 8 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have adopted the research of [4] for the contents search system and KAON2 [7] for the ontology deduction engine implemented in this paper. The query language used for the ontology deduction is SPARQL.…”

Section: Implementation and Testmentioning

confidence: 99%

“…In order to improve the efficiency of search, the organization can build and add the necessary domain ontology using the method presented in this paper. In case of the contents search, we adopted the method from the research of [4]. We performed contents search using integrated ontology of contents ontology, domain ontology and competency ontology.…”

Section: System Architecturementioning

confidence: 99%

“…Contents Ontology creation is also carried out on the Ontology creation level. We adopted the research of [4] that discussed about the LOM Binding of KEM(Korea Educational Metadata) [5] which is the Korean extension of LOM(Learning Object Metadata) for the Contents Ontology. In the meanwhile, we added the predefined domain Ontology to the system in order to enhance the efficiency of contents search using competency ontology and contents ontology.…”

Section: System Architecturementioning

confidence: 99%

See 2 more Smart Citations

Enhancing Ontology-Based Educational Content Search Service with Competency

Chang

Lee

et al. 2008

2008 Eighth IEEE International Conference on Advanced Learning Technologies

Self Cite

View full text Add to dashboard Cite

In this paper we present a methodology for designing competency based web search framework using ontology to acquire the learning contents that meets the individuals' competency. We used ontology with OWL-DL to built competency ontology, content ontology and domain ontology to implement competency based contents search system. The basic ontology-based search system, however, lacks the method of ranking the search results. To present more appropriate learning contents for the learner, we applied competency clustering to rank the search results.

show abstract

Section: Implementation and Testmentioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%

See 1 more Smart Citation

Enhancing Ontology-Based Educational Content Search Service with Competency

Chang

Lee

et al. 2008

2008 Eighth IEEE International Conference on Advanced Learning Technologies

Self Cite

View full text Add to dashboard Cite

show abstract

“…B. Chang et al presented an ontology-based educational information search service, which focus on the aspect of education information [24]. In [25], V. Torres et al proposed a semantic query approach in the form of a navigational ontology, which focus on web applications.…”

Section: Related Workmentioning

confidence: 99%

Tag Ontology Automatic Building for Semantic Searching of Services: a Case Study on Mashup Services

Pan¹,

Li²

2012

JCP

View full text Add to dashboard Cite

The explosion of services like web services, APIs, Mashups, etc., makes how to find the right one you need a tough problem. Tags, as a kind of metadata have been widely used to annotate services. In this paper, we propose to use an ontology automatically built from tags to improve the performance of service searching. We use the famous Mashup directory, Programmable.com, to illustrate our approach: First, all metadata especially tags of mashups and APIs at Programmable.com are crawled and preprocessed by the suffix stripping algorithm to lower the noise. Second, a Mashup-Mashup Network (MMN) is constructed to represent the Mashups and their relationships. And the community detection technique in complex network theory is introduced to mine the community structures (the potential domains of these Mashups) in MMN. Based on the Mashup communities, we further group the tags into corresponding domains. Finally the tag ontology is built with reference to WordNet, and embedded in our own developed software service registry and repository (S2R2), to improve the performance of service searching. Comprehensive experiments are also conduct to testify the effectiveness of the proposed approach.

show abstract

“…Ontologies can be used to build adaptable e-learning systems: using ontologies, human or software agents can automatically understand the meaning of the e-learning content and process it appropriately (Kim et al, 2005). For example, ontologies enable semantic-based search of e-learning content (Chang, Ham, Moon, Choi, & Cha, 2007).…”

Section: Introductionmentioning

confidence: 99%

Annotations, Collaborative Tagging, and Searching Mathematics in E-Learning

Doush¹,

Alkhateeb²,

Maghayreh³

et al. 2011

IJACSA

View full text Add to dashboard Cite

Abstract-This paper presents a new framework for adding semantics into e-learning system. The proposed approach relies on two principles. The first principle is the automatic addition of semantic information when creating the mathematical contents. The second principle is the collaborative tagging and annotation of the e-learning contents and the use of an ontology to categorize the e-learning contents. The proposed system encodes the mathematical contents using presentation MathML with RDFa annotations. The system allows students to highlight and annotate specific parts of the e-learning contents. The objective is to add meaning into the e-learning contents, to add relationships between contents, and to create a framework to facilitate searching the contents. This semantic information can be used to answer semantic queries (e.g., SPARQL) to retrieve information request of a user. This work is implemented as an embedded code into Moodle e-learning system.

show abstract

Educational Information Search Service Using Ontology

Cited by 8 publications

References 1 publication

Enhancing Ontology-Based Educational Content Search Service with Competency

Enhancing Ontology-Based Educational Content Search Service with Competency

Tag Ontology Automatic Building for Semantic Searching of Services: a Case Study on Mashup Services

Annotations, Collaborative Tagging, and Searching Mathematics in E-Learning

Contact Info

Product

Resources

About