Suphakit Niwattanakul

Describing and Researching of Learning Resources with Ontology Model

In this paper, we introduce to describe learning resources by using ontology model based on metadata of learning standard as sharable content object reference model (SCORM) and Dublin Core metadata. Then we present how to research and discover them with query language as SPARQL query language. The designing of metadata structure has followed the standard metadata and we have added some categories and elements to managing the indexation and classification. To find resources in our ontology we show some examples of retrieving them by using SPARQL query language. For our study we have proved them by using an ontology tool as Protege package

Development of animation media for learning English vocabulary for children

An effective management of learning requires various types of educational media. The educational media can accelerate the learning curve of learners and assists the learners to widely understand the concepts and contents. In addition, it helps the learners to create the better view than just listening. The paper aims to develop an animation media to help children expand their English vocabulary. The evaluation of animation media is processed by using the pretest score. The learners are divided into 2 groups which are using the animation media for learning and using normal learning method. The pre-test scores are calculated by t-test (dependent) with the level of statistical significance at 0.01. The result shows that the proposed animation media has a positive impact on the learners (x̅ =4.13). The animation method can help the learners receive higher average score than those who apply the normal one at statistical significance level of 0.01. Thus, the animation method is a beneficial teaching material to stimulate and support the learners, especially at 5 to 6 years old to enjoy the class with good results.

Virtual 3-D animation for tourism

This paper has studied the process of designing a virtual 3-D images to be a model for generated tourism places, creation of virtual 3-D animation for tourism, and the study of satisfaction on the virtual image created for the sample used in research. The samples were divided into 2 groups: 1) The sample used in the selection of tourist attractions and tourist interest in the Kalasin province, Thailand. These people were; 100 personnel from government agencies and private companies. Discussion of 100 people in the private, and 2) a sample group to explore the satisfaction of the virtual 3-D animation for developed tourist attractions, including 6 personnel from the head of the government agencies, travel-related personnel from Kalasin Tourist and Sports Authority, Kalasin Municipal, and Kalasin Provincial Administration Organization. The tools used in research is a questionnaire about tourist attraction in Kalasin Province. The display of a 3D image for tourism attractions has been presented in multimedia formats that can be displayed in virtual reality to tourists, including of tourist information before they decide to travel. The important thing to create 3-D animation, virtual reality must take into account as much as possible, accurate information, continuation of the display. The presented story is interesting for all the things animated 3-D virtual reality and the narrative of tourist attractions as 3-D animation will benefits to the tourism industry and tourism business.

Web Services Selection Algorithm Based on the Quality of Service

Nowadays, searching for web services can be done through accessing from UDDI which is widely available. Most of the searches are functioned by the use of keywords without understanding the meaning of them. This causes users inability to access to the semantic web service, none of the users can identify whether the required web services are still active, and they cannot expect for the quality of those web services. As a result, this study is aimed to 1) collect the web service on weather forecast from many providers, 2) design the knowledge base of web service by using Ontology and RAP-RDF API to create the user interface of web service, 3) select the qualified web service based on four aspects includes; 1) response time 2) availability 3) reliability, and 4) cost. The results of this study help the users to search through the qualified semantic web service.

Development for Prae-wa silk knowledge base using ontology

Prae-wa silk is a Thai traditional hand-woven fabric created with unique handsome texture and remarkable beauty, both fascinating and alluring. This paper, thus, initially creates the ontology as a knowledge-base for Prae-wa silk. SPARQL query language is deployed. Precision, Recall, and F-measure are set as a measurement for search performance. The results show that the retrieval of information is accurately relevant to the query. However, the performance of searching is influenced by the design of ontology and the query language. This proposed knowledgebase can further be developed as a search engine or web semantic which will beneficially initiate the communication of practice and people who are interested in Prae-wa silk.

An investigation on the correlation of learner styles and learning objects characteristics in a proposed Learning Objects Management Model (LOMM)

The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system. A proposed Learning Object Management Model (LOMM) is discussed in this paper which aims to adapt and optimize the learning process based on characteristics of the individual learners. This study aims to find the correlation between learning styles and LOs characteristics in the LOMM. Decision Tree and Apriori algorithms were used to generate a predictive model for the classification of learners. Development of the predictive model was based on survey results from 1,586 high school students in Nakhon Ratchasima province, Thailand. The diverse LOs characteristics were analyzed in order to find the correlation with learning styles of the learners. The classification model consists of 24 sub-models used to predict a learner’s class based on 8 groups of LOs characteristics. The best accuracy obtained in the study was 80.23%. Finally, for the next phase this approach has been designed to support the proposed LOMM and it is expected that it could be readily applied to other e-learning systems and digital repositories.

Learning Object Metadata Mapping for Linked Open Data

Database is a great part of data store on the Internet. However, the transition to web of data and shareable contents to open standard like LOD requires new structuring of traditional data. In order to achieve this interoperability of information systems, RDF is important file format in resolving semantic heterogeneity. This paper proposes the metadata mapping processes to convert database to RDF. DB2RDF is a tool that automatically generates RDF from database by mapping from LO ontology and stored in TDB. The mapping process start by extract database schema and restructuring in form of RDF using Jena API make them available to query. The created model modification query uses SPARQL queries. We proceed set of class and properties from database attributes and redefine with specific domain control vocabulary to populate RDF. Finally, we test the query results that can preserved the database semantic by validated the resulting by SPARQL queries with RDB on SQL queries.

DOCINER: A Document Indexation Tool for Learning Objects

In this paper, we present a method we implemented to help a user index documents (and, in particular, learning objects) according to a given set of concepts (terms referring to domains or topics). The user first associates keywords to the concepts. Our method uses such associations to suggest simple rules for indexing a document by concepts according to the keywords this document contains. Then, our system uses those rules to perform the indexation of documents.