International Journal of Web & Semantic Technology (IJWesT)

THE CLOUDY FUTURE OF GOVERNMENT IT: CLOUD COMPUTING AND THE PUBLIC SECTOR AROUND THE WORLD David C. Wyld Department of Management, Southeastern Louisiana University, Hammond, LA USA ABSTRACT Cloud computing is fast creating a revolution in the way information technology is used and procured by organizations and by individuals. In this article, we examine what cloud computing is and the importance of this new model of computing. We then examine non-military uses of cloud computing in governments across the globe, from the Unites States to Europe and Asia. Then, we look at the resource – people and computing – issues involved in shirting to cloud computing. The author then presents his six-step “Cloud Migration Strategy” for governmental agencies to shift to cloud computing. Finally, we look “over the horizon” to the implications for public sector organizations and the information technology community as the cloud computing revolution progresses. KEYWORDS Cloud comput...

STRUCTURAL WEIGHTS IN ONTOLOGY MATCHING Mohammad Mehdi Keikha 1 and Mohammad Ali Nematbakhsh 2 and Behrouz Tork Ladani 3 1 Computer Science Department, University of Sistan and Baluchestan, Zahedan, Iran 2,3 Computer Engineering Department, University of Isfahan, Isfahan, Iran ABSTRACT Ontology matching finds correspondences between similar entities of different ontologies. Two ontologies may be similar in some aspects such as structure, semantic etc. Most ontology matching systems integrate multiple matchers to extract all the similarities that two ontologies may have. Thus, we face a major problem to aggregate different similarities. Some matching systems use experimental weights for aggregation of similarities among different matchers while others use machine learning approaches and optimization algorithms to find optimal weights to assign to different matchers. However, both approaches have their own deficiencies. In this paper, we will point out the problem...

SENTIMENT ANALYSIS OF DOCUMENT BASED ON ANNOTATION Archana Shukla Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad ABSTRACT I present a tool which tells the quality of document or its usefulness based on annotations. Annotation may include comments, notes, observation, highlights, underline, explanation, question or help etc. comments are used for evaluative purpose while others are used for summarization or for expansion also. Further these comments may be on another annotation. Such annotations are referred as meta-annotation. All annotation may not get equal weightage. My tool considered highlights, underline as well as comments to infer the collective sentiment of annotators. Collective sentiments of annotators are classified as positive, negative, objectivity. My tool computes collective sentiment of annotations in two manners. It counts all the annotation present on the documents as well as it also computes ...