Browsing by Author "ชาญยศ ปลื้มปิติวิริยะเวช"
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Publication Metadata only Inference of lexical ontologies. The LeOnI methodology(2010-01) Farreres, Javier; Gibert, Karina; Rodríguez, Horacio; Charnyote Pluempitiwiriyawej; ชาญยศ ปลื้มปิติวิริยะเวช; Mahidol University. Faculty of Information and Communication Technology. Department of Computer Science.In this article we present a method for semi-automatically deriving lexico-conceptual ontologies in other languages, given a lexico-conceptual ontology for one language and bilingual mapping resources. Our method uses a logistic regression model to combine mappings proposed by a set of classifiers (up to 17 in our implementation). The method is formally described and evaluated by means of two implementations for semiautomatically building Spanish and Thai WordNets using Princeton’s WordNet for English and conventional English–Spanish and English–Thai bilingual dictionaries.Item Metadata only MUPRET: An Ontology-Driven Traceability Tool for Multiperspective Requirements Artifacts(2009) Namfon Assawamekin; น้ำฝน อัศวเมฆิน; Thanwadee Sunetnanta; ธันวดี สุเนตนันท์; Charnyote Pluempitiwiriyawej; ชาญยศ ปลื้มปิติวิริยะเวช; Mahidol University. Faculty of Science. Department of Computer Science; Mahidol University. Faculty of Information and Communication TechnologyMultiperspective requirements traceability (MUPRET) tool is resulted from our attempt in resolving the heterogeneity in traceability of multiperspective requirements artifacts. The MUPRET tool facilitates the automatic extraction and construction of requirements elements of an individual stakeholder into a so-called requirements ontology. As a result, multiperspective requirements artifacts of different stakeholders are captured in a common taxonomy imposed by the sharing base of requirements ontology. The tool then automatically generates traceability links by matching requirements ontologies. This paper presents the architecture of the MUPRET tool, together with an illustrative example of its applications.Publication Metadata only Ontology-based multiperspective requirements traceability framework(2009) Assawamekin, N.; Sunetnanta, T.; Pluempitiwiriyawej, C.; ชาญยศ ปลื้มปิติวิริยะเวช; Mahidol University. Faculty of Information and Communication TechnologyLarge-scaled software development inevitably involves a group of stakeholders, each of whom may express their requirements differently in their own terminology and representation depending on their perspectives or perceptions of their shared problems. In view of that, the heterogeneity must be well handled and resolved in tracing and managing changes of such requirements. This paper presents our multiperspective requirements traceability (MUPRET) framework which deploys ontology as a knowledge management mechanism to intervene mutual "understanding" without restricting the freedom in expressing requirements differently. Ontology matching is applied as a reasoning mechanism in automatically generating traceability relationships. The relationships are identified by deriving semantic analogy of ontology concepts representing requirements elements. The precision and recall of traceability relationships generated by the framework are verified by comparing with a set of traceability relationships manually identified by users as a proof-of-concept of this framework.Publication Metadata only Uncertain inference control in privacy protection(2009) Xiangdong. An; Dawn. Jutla; Nick. Cercone; Charnyote Pluempitiwiriyawej; Hai. Wang; ชาญยศ ปลื้มปิติวิริยะเวช; Mahidol University. Faculty of Information and Communication TechnologyContext management is the key enabler for emerging context-aware applications, and it includes context acquisition, understanding and exchanging. Context exchanging should be made privacy-conscious. We can specify privacy preferences to limit the disclosure of sensitive contexts, but the sensitive contexts could still be derived from those insensitive. To date, there have been very few inference control mechanisms for context management, especially when the environments are uncertain. In this paper, we present an inference control method for private context protection in uncertain environments.Item Metadata only โปรเกรสซีฟเว็บแอปพลิเคชันแนะนำอาหารสมุนไพรเพื่อสุขภาพตามธาตุเจ้าเรือนชาญยศ ปลื้มปิติวิริยะเวช; มหาวิทยาลัยมหิดล. คณะเทคโนโลยีสารสนเทศและการสื่อสาร