Service-oriented Architecture (SOA) maturity model

is a benchmark for evaluating and assessing the

maturity of SOA adoption. Several of SOA maturity

models have been constructed by the academia and

industry.However, these models contradict with each other in determining “what” need to be assessed in SOA adoption.Therefore, the aims of this study is to review and compare the existing SOA maturity models that were commonly referred such as SOAMM, SIMM, CSOAMM, Inaganti’s Model,

iSOAMM, Welke’s Model and SOASMM in order to

determine which model should be enhanced to reflect the true definition of SOA. The findings implies that the existing models have their own strengths and weaknesses and based on these findings, this study identify that Welke’s model is the most suitable model that should be enhanced. This study has successfully analyze the existing models and identify an issue that deserve future investigation such as the need to provide two dimensional evaluations for both IT benefits and business benefits and the need to improve the evaluation processes in the SOA maturity model

Baharom, Fauziah

Hamzah, Mohd Hamdi Irwan

Mohd, Haslina

Automatic information extraction (IE) from online published scientific resources (mainly semi-structured and unstructured) like articles, proceedings, editorials etc. is among the hottest areas of research in text mining. This information is essential for various reasons like tagging, searching, indexing the documents and search engine optimization. In this regard, various techniques possessing considerable accuracy besides other merits, have been proposed in the literature. However, their efficiency is limited to domain-specific documents with static and well-defined formats. Whereas the accuracy is significantly challenged with a slight modification in the document format. Hence, it can be safely stated that so far, no scheme is robust enough for broader types, domains, and formats of documents from diverse publishing societies. To address this issue, an Ontological Framework for IE (OFIE) using a fuzzy rule-based system (FRBS) and an efficient word sense disambiguation (WSD) technique is proposed in this research. The FRBS module is responsible for IE in a precise manner by incorporating fuzzy regular expressions with an added tolerance factor conceived experimentally. FRBS is applied to XML and text converted versions of the same input document to extract two streams. Afterwards, the WSD module synthesizes both streams and yields the outcome that is promising semantically as well as syntactically. The domain is significantly wide-ranging and comprises of articles from well-known publishing services like IEEE, ACM, Elsevier, Springer, and few others. It is observed from extensive experiments and contrasting with state-of-the-art techniques that the proposed scheme is robust to changes in format, extracts better information, and exhibits a significant precision, recall and F-score as 89.14%, 89.6% and 89%, respectively in testing phase. As an outcome, the extracted information can be stored in a digital library for the sake of archiving and retrieval by means of extract, transform and load (ETL) process

Zaman, Gohar

UTHM Institutional Repository

An ontological framework for information extraction using fuzzy rule-based system and word sense disambiguation

UUM Repository

A comparative study of service-oriented architecture maturity model

http://repo.uum.edu.my/20129/1/KMICe2016%20399-404.pdf

A comparative study of service-oriented architecture maturity model

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