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The presence of Latin in heavy metal music ranges from full texts, intros, song and album titles to band names, pseudonyms, and literary quotations. This chapter sheds light on heavy metal's fascination with the history and ‘arcane’ sound of Latin, and investigates its patterns of use in lyrics with the help of Natural Language Processing tools and digitally-available linguistic resources. First, the authors collected a corpus of lyrics containing differing amounts of Latin and enhanced it with descriptive metadata. Next, the authors calculated the richness of the vocabulary and the distribution of content words. The authors processed the corpus with a morphological analyser and performed both a manual and a computational search for intertextuality, including allusions, paraphrase and verbatim quotations of literary sources. The authors show that, despite it being a dead language, Latin is very frequently used in metal. Its historical status appears to fascinate bands and lends itself well to those religious, epic and mysterious themes so characteristic of the heavy metal world. The widespread use of Latin in metal lyrics, however, sees many bands simply reusing Latin texts – mostly from the Bible – or even misspelling literary quotations.

This paper explores which market and product category characteristics could influence the use of foreign language brand names (i.e. whether a brand uses a foreign language versus local language brand name) in some of the largest Latin American countries.

Hypotheses are tested using 880 brands from 39 product categories and nine Latin American markets using a hierarchical logistic regression.

Results revealed that foreign language brand names are more likely to be used in product categories related to local infrastructure, high-tech and global community. In contrast, local language brand names are more likely to be used in product categories associated to subscriptions. Findings also suggest that Hofstede's national cultural dimensions are significant factors. Finally, the results revealed that foreign language brand names are more likely to be used in markets with a low level of foreign language proficiency.

This paper shows the importance of considering market and product category characteristics and their potential influence on local versus foreign language branding in Latin America – an ignored issue in previous research.

The present paper uses Twitter to analyze the current state of the worldwide, Spanish-language, independent publishing market. The main purposes are to determine whether certain Latin American Spanish-language independent publishers function as gatekeepers of world literature and to analyze the geopolitical structure of this global market, addressing both the Europe-America dialectic and neocolonial practices.

After selecting the sample of publishers, the authors conducted a search for their Twitter profiles and located 131; they then downloaded data from the corresponding Twitter APIs. Finally, they applied social network analysis to study the presence of and interaction between the sample of independent publishers on this social media.

The results provide data-based evidence supporting the hypothesis of some literary critics who suggest that in Latin America, certain publishers act as gatekeepers to the mainstream book market. Therefore, Twitter could be considered a valid source of information to address the independent book market in Spanish. By extension, this approach could be applied to other cultural industries in which small and medium-sized agents develop a digital presence in social media.

This paper combines social network analysis and literary criticism to provide new evidence about the Spanish-language book market. It helps validate the aforementioned hypothesis proposed by literary critics and opens up new paths along which to pursue an interpretative, comparative analysis.

Describes some of the information retrieval issues faced by Arab libraries with bilingual (Arabic/English), biscript (Arabic/Latin) catalogues. Reviews earlier published work on multiscript bibliographic databases before focusing on controlled name and subject access points, including suggestions for how best to serve the information needs of a group of end‐users who are predominantly native Arabic‐speakers.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

The purpose of this paper is to investigate image search and retrieval problems in selected search engines in relation to Persian writing style challenges.

This study is an applied one, and to answer the questions the authors used an evaluative research method. The aim of the research is to explore the morphological and semantic problems of Persian language in connection with image search and retrieval among the three major and widespread search engines: Google, Yahoo and Bing. In order to collect the data, a checklist designed by the researcher was used and then the data were analyzed by descriptive and inferential statistics.

The results indicate that Google, Yahoo and Bing search engines do not pay enough attention to morphological and semantic features of Persian language in image search and retrieval. This research reveals that six groups of Persian language features include derived words, derived/compound words, Persian and Arabic Plural words, use of dotted T and the use of spoken language and polysemy, which are the major problems in this area. In addition, the results suggest that Google is the best search engine of all in terms of compatibility with Persian language features.

This study investigated some new aspects of the above-mentioned subject through combining morphological and semantic aspects of Persian language with image search and retrieval. Therefore, this study is an interdisciplinary research, the results of which would help both to offer some solutions and to carry out similar research on this subject area. This study will also fill a gap in research studies conducted so far in this area in Farsi language, especially in image search and retrieval. Moreover, findings of this study can help to bridge the gap between the user’s questions and search engines (systems) retrievals. In addition, the methodology of this paper provides a framework for further research on image search and retrieval in databases and search engines.

Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem.

The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries.

It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries.

The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data.

The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time.

According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

This article is a survey of the broad field of bibliographical control of linguistic scholarship in the Indo‐European languages, although some titles described here are also pertinent for non‐Indo‐European languages. Improvement of bibliographies in this field as well as desiderata are noted. Special attention is given to the characteristics of existing or needed bibliographies which will permit computerization; but the need for scholarly insight in planning and supervising the compilation of bibliographies is also emphasized. Major works such as the Linguistic Bibliography and the MLA International Bibliography are reviewed in some detail; and the linguistic bibliographies of individual Indo‐European languages, ranging from the rather extensive literature on Germanic and Romance languages to areas with smaller circles of interest such as the Celtic languages, also receive appropriate attention. Bibliographical coverage of both descriptive and historical linguistics is noted. The survey indicates duplication of effort in certain fields and suggests the need for co‐operative effort.

The first state high schools in New South Wales (NSW) were restricted to children with high academic ability. The purpose of this paper is to explore the lived experience of over 70 former students from three such schools, one coeducational, the other two single‐sex, with special attention to academic and social curricula.

The study investigates memories of a particular moment in the history of secondary schooling in NSW before the establishment of mass secondary education. The authors utilise theoretical concepts from recent oral history studies regarding memory communities and intersectionality.

In bringing ex‐students’ memories of both single‐sex and coeducational academically‐selective high schooling together, the study reports on the homogeneity of the memories of this type of schooling despite the different sexual structures of the schools. The respondents, it is argued, constitute a “memory community” in that they recalled their selection for high school as marking them out as intellectually superior, “special”. Their main differentiating feature arose from their sex and gender socialisation. Females were made more consistently conscious of their responsibilities within their schools’ gender regime.

The approach in this paper adjusts the focus of traditional oral history research in the history of education to “history from within” (rather than “from below”); to experiences of both academic and socialcurriculum (not “formal/informal”); to a gendered approach incorporating both sexes; and to a comparative approach across academically‐selective coeducational and single‐sex high schools.