Big Data Mining and Semantic Technologies: Challenges and Opportunities

Big data a term coined due to the explosion in the quantity and diversity of high frequency digital data which is having a potential for valuable insights has drawn the most attention in the area of research and development. Converting big data to actionable insights requires depth understanding of big data, its characteristics, challenges and current technological trends. A rise of big data is changing the existing data storage, management, processing and analytical mechanisms and leads to the new architecture/ecosystems to handle big data applications. This paper covers finding of our research study about big data characteristic, various types of analysis associated with it and basic big data types. First, we are presenting the big data study from data mining and analysis perspective and discuss the challenges and next, we present the result of research study on meaningful use of big data in the context of semantic technologies. Moreover, we discuss various case studies related to social media analysis and recent development trends to identify potential research directions for big data with semantic technologies. DOI: 10.17762/ijritcc2321-8169.150711

Clarifying creative nonfiction through the personal essay

In a recent issue of TEXT, Matthew Ricketson sought to clarify the &lsquo;boundaries between fiction and nonfiction&rsquo;.&nbsp;In his capacity as a teacher of the creative nonfiction form he writes, &lsquo;I have lost count of the number of times, in classes and in submitted work, that students have described a piece of nonfiction as a novel&rsquo;. The confusion thus highlighted is not restricted to Ricketson&rsquo;s journalism students. In our own university&rsquo;s creative writing cohort, students also struggle with difficulties in melding the research methodology of the journalist with the language and form of creative writing required to produce nonfiction stories for a 21st century readership.Currently in Australia creative nonfiction is enthusiastically embraced by publishers and teaching institutions. Works of memoir proliferate in the lists of mainstream publishers, as do anthologies of the essay form. During a time of increasing competition and desire for differentiation between institutions, when graduate outcomes form a basis for marketing university degrees, it is hardly surprising that, increasingly, tertiary writing teachers focus on this genre in their writing programs. A second tension has arisen in higher education more generally, which affects our writing students&rsquo; approaches to tertiary study. The student writers of the 21st century emerge from a digitally literate and socially collaborative generation: the NetGen(eration). From a learner-centric viewpoint, they could be described as time-poor, and motivated by work-integrated learning with its perceived close links to workplace contexts and to writing genres. They seek just-in-time learning to meet their immediate employment needs, which inhibits the development of their capacity to adapt their researching and writing to various genres and audiences. This article examines issues related to moving these NetGen student writers into the demanding and rapidly expanding creative nonfiction market. It is form rather than genre that denotes creative nonfiction and, we argue, it is the unique features of the personal essay, based as it is on doubt, discovery and the writer&rsquo;s personal voice that can be instrumental in teaching creative nonfiction writing to our digitally and socially literate cohort of students.<br /

NLP and the Humanities: The Revival of an Old Liaison

This paper presents an overview of some\ud emerging trends in the application of NLP\ud in the domain of the so-called Digital Humanities\ud and discusses the role and nature\ud of metadata, the annotation layer that is so\ud characteristic of documents that play a role\ud in the scholarly practises of the humanities.\ud It is explained how metadata are the\ud key to the added value of techniques such\ud as text and link mining, and an outline is\ud given of what measures could be taken to\ud increase the chances for a bright future for\ud the old ties between NLP and the humanities.\ud There is no data like metadata

DDB-KG: The German Bibliographic Heritage in a Knowledge Graph

Under the German government’s initiative “NEUSTART Kultur”, the German Digital Library or Deutsche Digitale Bibliothek (DDB) is undergoing improvements to enhance user-experience. As an initial step, emphasis is placed on creating a knowledge graph from the bibliographic record collection of the DDB. This paper discusses the challenges facing the DDB in terms of retrieval and the solutions in addressing them. In particular, limitations of the current data model or ontology to represent bibliographic metadata is analyzed through concrete examples. This study presents the complete ontological mapping from DDB-Europeana Data Model (DDB-EDM) to FaBiO, and a prototype of the DDB-KG made available as a SPARQL endpoint. The suitabiliy of the target ontology is demonstrated with SPARQL queries formulated from competency question

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DeepSQLi: Deep Semantic Learning for Testing SQL Injection

Security is unarguably the most serious concern for Web applications, to which SQL injection (SQLi) attack is one of the most devastating attacks. Automatically testing SQLi vulnerabilities is of ultimate importance, yet is unfortunately far from trivial to implement. This is because the existence of a huge, or potentially infinite, number of variants and semantic possibilities of SQL leading to SQLi attacks on various Web applications. In this paper, we propose a deep natural language processing based tool, dubbed DeepSQLi, to generate test cases for detecting SQLi vulnerabilities. Through adopting deep learning based neural language model and sequence of words prediction, DeepSQLi is equipped with the ability to learn the semantic knowledge embedded in SQLi attacks, allowing it to translate user inputs (or a test case) into a new test case, which is semantically related and potentially more sophisticated. Experiments are conducted to compare DeepSQLi with SQLmap, a state-of-the-art SQLi testing automation tool, on six real-world Web applications that are of different scales, characteristics and domains. Empirical results demonstrate the effectiveness and the remarkable superiority of DeepSQLi over SQLmap, such that more SQLi vulnerabilities can be identified by using a less number of test cases, whilst running much faster

\u27Ministering Confusion\u27: Rebellious Quaker Women (1650-1660)\u27

This paper assesses the position of women within the Quaker community, concentrating on their ministerial roles. Female prophets and preachers were visible during the first decade of Quakerism, and the early years prove fruitful for exploration of women\u27s experiences. In order to consider the difficulties women faced when taking a public role in support of Quakerism, some context on seventeenth-century attitudes to women will be provided. It will be argued that women had to challenge patriarchal notions that the \u27weaker\u27 sex should be silent, passive and obedient. In contrast to prevailing seventeenth-century norms, the potential radicalism of the Quaker approach to gender can be demonstrated. Yet, the majority of this paper deals with evidence showing that women were chastised by other Quakers for apparently departing from the conventional female roles. Hence, this paper examines the co-existence of radical, egalitarian attitudes to gender alongside more conservative, and restrictive evaluations of women\u27s ministry