ORCID Profile
0000-0002-9538-7476
Current Organisation
University of Adelaide
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Publisher: ACM
Date: 24-10-2016
Publisher: Emerald
Date: 27-05-2014
DOI: 10.1108/IJPCC-03-2014-0024
Abstract: – This paper aims to solve the stated limitations through (i) exploring usages of scenarios and (ii) proposing a lightweight iterative requirement exploration process that utilizes scenarios to transform the vague ideas of the developers into concrete application’s vision. The explosive growth in pervasiveness, programmability and computational capability of smartphones and tablets unlocks the possibility for many uses of technology, including end-user development (EUD) where end-users create applications as pragmatic tools for their work and hobbies. An extensive amount of research effort has been done to solve EUD challenges however, the focus of such research lies mainly on designing and implementing software applications. – Based on review on existing application of usage scenario in software application development, we proposed SRE – a scenario-based requirement exploration method and MobiPSE – a lightweight software process that applies SRE. Two EUD projects performed by undergraduate students were used as case studies to test and fine-tune methods. – This paper proposes MobiPSE – a lightweight iterative software process that resolves around our proposed SRE method. Through case studies on MobiPSE, we confirmed that MobiPSE works in real-life scenarios and emphasized two points: ad hoc training has limited effect and lack of technical expertise can still leave a negative impact on requirement exploration process. – Because of the limited number of case studies performed for testing and tuning purpose, the proposed methods may not be able to satisfy all cases of EUD. MobiPSE can be fine-tuned further with additional case studies of different scale and team structure. – This paper fulfils the need for a lightweight method for exploring requirements and ideas in a EUD project based on creating and analyzing possible usage scenarios.
Publisher: Springer International Publishing
Date: 2017
Publisher: ACM Press
Date: 2013
Publisher: Springer International Publishing
Date: 2017
Publisher: ACM
Date: 04-12-2014
Publisher: Association for Computing Machinery (ACM)
Date: 25-08-2017
DOI: 10.1145/3092695
Abstract: Technological advances allow more physical objects to connect to the Internet and provide their services on the Web as resources. Search engines are the key to fully utilize this emerging Web of Things, as they bridge users and applications with resources needed for their operation. Developing these systems is a challenging and erse endeavor due to the ersity of Web of Things resources that they work with. Each combination of resources in query resolution process requires a different type of search engine with its own technical challenges and usage scenarios. This ersity complicates both the development of new systems and assessment of the state of the art. In this article, we present a systematic survey on Web of Things Search Engines (WoTSE), focusing on the ersity in forms of these systems. We collect and analyze over 200 related academic works to build a flexible conceptual model for WoTSE. We develop an analytical framework on this model to review the development of the field and its current status, reflected by 30 representative works in the area. We conclude our survey with a discussion on open issues to bridge the gap between the existing progress and an ideal WoTSE.
Publisher: Emerald
Date: 16-11-2015
DOI: 10.1108/IJWIS-06-2015-0019
Abstract: – This paper aims to improve the semantic-disambiguation capability of an information-retrieval system by taking advantages of a well-crafted classification tree. The unstructured nature and sheer volume of information accessible over networks have made it drastically difficult for users to seek relevant information. Many information-retrieval methods have been developed to address this problem, and keyword-based approach is amongst the most common approach. Such an approach is often inadequate to cope with the conceptualization associated with user needs and contents. This brings about the problem of semantic ambiguation that refers to the disagreement in meaning of terms between involving parties of a communication due to polysemy, leading to increased complexity and lesser accuracy in information integration, migration, retrieval and other related activities. – A novel ontology-based search approach, named GeTFIRST (short for G raph- e mbedded T ree F ostering I nformation R etrieval S ys T em), is proposed to disambiguate keywords semantically. The contribution is twofold. First, a search strategy is proposed to prune irrelevant concepts for accuracy improvement using our Graph-embedded Tree (GeT)-based ontology. Second, a path-based ranking algorithm is proposed to incorporate and reward the content specificity. – An empirical evaluation was performed on United States Patent And Trademark Office (USPTO) patent datasets to compare our approach with full-text patent search approaches. The results showed that GeTFIRST handled the ambiguous keywords with higher keyword-disambiguation accuracy than traditional search approaches. – The search approach of this paper copes with the semantic ambiguation by using our proposed GeT-based ontology and a path-based ranking algorithm.
Publisher: Springer International Publishing
Date: 2021
Publisher: Springer International Publishing
Date: 2016
No related grants have been discovered for Nguyen Khoi TRAN.