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A web service is a software system designed to support interoperable machine‐to‐machine or application‐to‐application interactions over networks. Descriptions enable web services to be discovered, used by other web services, and composed into new web services. Web service composition is a mechanism for creating new web services by reusing existing ones. In order to compose a web service, the right primitive services have to be discovered. A matchmaking technique enables discovering these services. Web services have functional, non‐functional, behavioral, and semantic characteristics. These four aspects of web services provide different key information about the service; therefore they have to be considered for description, matching, and composition. The purpose of this paper is to propose a formal description framework and a formal matchmaking technique that allows describing and discovering web services by considering their four characteristics.

In this paper, the description framework combines two existing languages for functional, semantic, and behavioral description, along with a simple and new language for non‐functional description.

A case study is used to illustrate the description framework and the matchmaking technique. The implementation and performance evaluation of the matchmaking technique is presented. The framework formalizes and integrates the languages in a common semantic domain in order to match and manipulate the different aspects together and formally. Isabelle is used by the matchmaking technique for discovering the partially and fully matched services.

The contribution of this paper lies in the new description framework and the new matchmaking technique.

In data engineering, view formalisms are used to provide flexibility to users and user applications by allowing them to extract and elaborate data from the stored data sources. Conversely, since the introduction of EXtensible Markup Language (XML), it is fast emerging as the dominant standard for storing, describing, and interchanging data among various web and heterogeneous data sources. In combination with XML Schema, XML provides rich facilities for defining and constraining user‐defined data semantics and properties, a feature that is unique to XML. In this context, it is interesting to investigate traditional database features, such as view models and view design techniques for XML. However, traditional view formalisms are strongly coupled to the data language and its syntax, thus it proves to be a difficult task to support views in the case of semi‐structured data models. Therefore, in this paper we propose a Layered View Model (LVM) for XML with conceptual and schemata extensions. Here our work is three‐fold; first we propose an approach to separate the implementation and conceptual aspects of the views that provides a clear separation of concerns, thus, allowing analysis and design of views to be separated from their implementation. Secondly, we define representations to express and construct these views at the conceptual level. Thirdly, we define a view transformation methodology for XML views in the LVM, which carries out automated transformation to a view schema and a view query expression in an appropriate query language. Also, to validate and apply the LVM concepts, methods and transformations developed, we propose a viewdriven application development framework with the flexibility to develop web and database applications for XML, at varying levels of abstraction.

This chapter will focus on how inclusive pedagogic practices can be played out in primary and secondary classrooms where the goal is using languages other than the learners’ home language as both the medium and content of learning (i.e. learning to use language and using languages to learn). This requires an approach which is inclusive, flexible and relates to any context – both languages and subject classrooms. The focus will be on how using an integrated approach to the curriculum, in which languages are used as a tool for learning, has the potential to be motivating and accessible to very diverse learners.

The chapter includes two lessons – the primary lesson plan will expand how simple language can be used to develop and enjoy painting and art with young students and the secondary lesson plan will focus on how a visual approach to thematic or cross-disciplinary work, such as natural disasters, can supplement and support deeper understanding of other areas of the curriculum as well as building confidence in communicating in an alternative language.

This study aims to explore the perceptions of language learners and instructors on using augmented reality (AR) in a hybrid learning environment.

Mixed-method research design was used to elicit information from 62 participants on the study’s objective. Data were collected and analyzed to examine the participants’ views on using AR in language teaching in a hybrid environment.

This study unveils that while most studies acknowledge AR as an effective instructional delivery, students and instructors perceive some setbacks. Other novel insights provided by this study reveal necessities to consider before implementing AR in classroom settings.

This study provides insights into the widely reported effectiveness of AR in the English language-teaching domain. This study suggests that considering the dispositions of learners and instructors toward digitally enhanced learning, using AR without good teaching practices and approaches may not yield expected learning outcomes.

This study advances scientific knowledge on the use of AR in hybrid learning models by providing empirical evidence to show the perceived effectiveness of AR. It further provides a robust understanding of the pedagogical implications of using AR in classroom settings drawing from diverse lenses. This helps ensure that educational settings that integrate AR consider the novel findings of this study before such implementation.

The purpose of this paper is to report the results and the methods of a study which applied grounded theory to the information-seeking behaviour of social scientists when searching Arabic and English academic databases using both languages.

The research applied the grounded theory approach using search experiments and semi-structured interviews. Think-aloud protocol during the experiment was used to capture the data from the subjects to allow a detailed analysis for the experiment. The semi-structured interviews followed each experiment and were analysed using the Strauss and Corbin (1990) version of the grounded theory, as were the think-aloud protocols.

The results of the think-aloud protocols and the semi-structured interviews suggest that the information needs of the subjects varied depending on the language used. In addition, it was discovered that social scientists followed more tactics in searching the Arabic database for the same tasks searched in English during the experiment. This allowed more search strategies and search tactics to appear in seeking information in Arabic language. The study also proposed a model to account for the cross-language information-seeking behaviour.

This study identifies and compares the information-seeking behaviour of the social scientists in Jordanian universities in searching both Arabic and English academic databases. Therefore, the findings of this study cannot be generalized to other Arab countries, unless there was similar context.

Few studies have investigated information-seeking behaviour using academic Arabic databases and proposed information-seeking behaviour models. No studies have compared information-seeking behaviour when using Arabic and English academic databases. The value of the current study arises by being the first study to identify and compare the information-seeking behaviour of social scientists by using grounded theory and proposing a cross-language information-seeking behaviour model.

Using videos in language learning has been investigated in the literature to enhance second language learning. The previous studies have explored the effect of videos on learning a foreign language, especially vocabulary learning. The purpose of this study is to investigate the effect of videos on learning present progressive tense in the perspective of semiotics.

A total of 30 Arab English foreign language (EFL) learners participated in the study and were assigned into two groups. The first group was taught present progressive tense with the help of videos (the semiotics group). The second group was taught the same content using a traditional way, i.e. without videos.

Results of the post-test indicated that participants in the semiotics group outscored the participants who did not learn through videos to learn present progressive tense. The study concluded that using videos is a useful tool to enhance learning present progressive tense.

To the authors’ knowledge, no study has been conducted to examine the effect of semiotics on learning L2 grammar, especially the present progressive tense. Therefore, this study explores the impact of using videos, as a form of semiotics, to help EFL learners learn present progressive tense.

With the rapid emergence and explosion of the internet and the trend of globalization, a tremendous number of textual documents written in different languages are electronically accessible online from the world wide web. Efficiently and effectively managing these documents written in different languages is important to organizations and individuals. Therefore, the purpose of this paper is to propose letter frequency neural networks to enhance the performance of language identification.

Initially, the paper analyzes the feasibility of using a windowing algorithm in order to find the best method in selecting the features of Arabic script documents language identification using backpropagation neural networks. Previously, it had been found that the sliding window and non‐sliding window algorithm used as feature selection methods in the experiments did not yield a good result. Therefore, this paper proposes, a language identification of Arabic script documents based on letter frequency using a backpropagation neural network and used the datasets belonging to Arabic, Persian, Urdu and Pashto language documents which are all Arabic script languages.

The experiments have shown that the average root mean squared error of Arabic script document language identification based on letter frequency feature selection algorithm is lower than the windowing algorithm.

This paper highlights the fact that using neural networks with proper feature selection methods will increase the performance of language identification.

There is a huge amount of information and data stored in publicly available online databases that consist of large text files accessed by Boolean search techniques. It is widely held that less use is made of these databases than could or should be the case, and that one reason for this is that potential users find it difficult to identify which databases to search, to use the various command languages of the hosts and to construct the Boolean search statements required. This reasoning has stimulated a considerable amount of exploration and development work on the construction of search interfaces, to aid the inexperienced user to gain effective access to these databases. The aim of our paper is to review aspects of the design of such interfaces: to indicate the requirements that must be met if maximum aid is to be offered to the inexperienced searcher; to spell out the knowledge that must be incorporated in an interface if such aid is to be given; to describe some of the solutions that have been implemented in experimental and operational interfaces; and to discuss some of the problems encountered. The paper closes with an extensive bibliography of references relevant to online search aids, going well beyond the items explicitly mentioned in the text. An index to software appears after the bibliography at the end of the paper.

This study aims to explore motives behind teachers' and students' use of translanguaging and how they use it in Tanzanian public secondary school classrooms.

Data were collected using interviews and non-participant observations.

The findings indicate that translanguaging was used to facilitate content comprehension, promote classroom interaction and increase students' motivation to learn. Translanguaging was implemented using three strategies: paraphrasing an English text into Kiswahili, translating an English text into its Kiswahili equivalent and word-level translanguaging.

By highlighting the motivations for translanguaging and corresponding strategies associated with translanguaging pedagogy in the Tanzanian context, this study has significant practical implications for teachers and students to showcase their linguistic and multimodal knowledge, while fostering a safe learning space that relates to students' daily experiences.

The study offers new insights into previous research on the role of language-supportive pedagogy appropriate for teachers and students working within bi-/multilingual education settings.