The implementation of a functional query language front-end to a relational database system. Available in 2 volumes.

Database systems have a user interface one of the components of which will normally be a query language which is based on a particular data model. Typically data models provide primitives to define, manipulate and query databases. Often these primitives are designed to form self-contained query languages. This thesis describes a prototype implementation of a system which allows users to specify queries against the database in a query language whose primitives are not those provided by the actual model on which the database system is based, but those provided by a different data model. The implementation chosen is the Functional Query Language Front End (FQLFE). This uses the Daplex functional data model and query language. Using FQLFE, users can specify the underlying database (based on the relational model) in terms of Daplex. Queries against this specified view can then be made in Daplex. FQLFE transforms these queries into the query language (Quel) of the underlying target database system (Ingres). The automation of part of the Daplex function definition phase is also described and its implementation discussed.

Semantic search components:a blueprint for effective query language interfaces

Formulating complex queries is hard, especially when users cannot understand all the data structures of multiple complex knowledge bases. We see a gap between simplistic but user friendly tools and formal query languages. Building on an example comparison search, we propose an approach in which reusable search components take an intermediary role between the user interface and formal query languages.

An infrastructure for semantic web portals

This paper presents our Semantic Web portal infrastructure, which focuses on how to enhance knowledge access in traditional Web portals by gathering and exploiting semantic metadata. Special attention is paid to three important issues that affect the performance of knowledge access: i) high quality metadata acquisition, which concerns how to ensure high quality while gathering semantic metadata from heterogeneous data sources; ii) semantic search, which addresses how to meet the information querying needs of ordinary end users who are not necessarily familiar with the problem domain or the supported query language; and iii) semantic browsing, which concerns how to help users understand and explore the problem domain.

Discovering knowledge structures in mind maps of mental health risks

This thesis addressed the problem of risk analysis in mental healthcare, with respect to the GRiST project at Aston University. That project provides a risk-screening tool based on the knowledge of 46 experts, captured as mind maps that describe relationships between risks and patterns of behavioural cues. Mind mapping, though, fails to impose control over content, and is not considered to formally represent knowledge. In contrast, this thesis treated GRiSTs mind maps as a rich knowledge base in need of refinement; that process drew on existing techniques for designing databases and knowledge bases. Identifying well-defined mind map concepts, though, was hindered by spelling mistakes, and by ambiguity and lack of coverage in the tools used for researching words. A novel use of the Edit Distance overcame those problems, by assessing similarities between mind map texts, and between spelling mistakes and suggested corrections. That algorithm further identified stems, the shortest text string found in related word-forms. As opposed to existing approaches’ reliance on built-in linguistic knowledge, this thesis devised a novel, more flexible text-based technique. An additional tool, Correspondence Analysis, found patterns in word usage that allowed machines to determine likely intended meanings for ambiguous words. Correspondence Analysis further produced clusters of related concepts, which in turn drove the automatic generation of novel mind maps. Such maps underpinned adjuncts to the mind mapping software used by GRiST; one such new facility generated novel mind maps, to reflect the collected expert knowledge on any specified concept. Mind maps from GRiST are stored as XML, which suggested storing them in an XML database. In fact, the entire approach here is ”XML-centric”, in that all stages rely on XML as far as possible. A XML-based query language allows user to retrieve information from the mind map knowledge base. The approach, it was concluded, will prove valuable to mind mapping in general, and to detecting patterns in any type of digital information.

The effective use of implicit parallelism through the use of an object-oriented programming language

This thesis explores translating well-written sequential programs in a subset of the Eiffel programming language - without syntactic or semantic extensions - into parallelised programs for execution on a distributed architecture. The main focus is on constructing two object-oriented models: a theoretical self-contained model of concurrency which enables a simplified second model for implementing the compiling process. There is a further presentation of principles that, if followed, maximise the potential levels of parallelism. Model of Concurrency. The concurrency model is designed to be a straightforward target for mapping sequential programs onto, thus making them parallel. It aids the compilation process by providing a high level of abstraction, including a useful model of parallel behaviour which enables easy incorporation of message interchange, locking, and synchronization of objects. Further, the model is sufficient such that a compiler can and has been practically built. Model of Compilation. The compilation-model's structure is based upon an object-oriented view of grammar descriptions and capitalises on both a recursive-descent style of processing and abstract syntax trees to perform the parsing. A composite-object view with an attribute grammar style of processing is used to extract sufficient semantic information for the parallelisation (i.e. code-generation) phase. Programming Principles. The set of principles presented are based upon information hiding, sharing and containment of objects and the dividing up of methods on the basis of a command/query division. When followed, the level of potential parallelism within the presented concurrency model is maximised. Further, these principles naturally arise from good programming practice. Summary. In summary this thesis shows that it is possible to compile well-written programs, written in a subset of Eiffel, into parallel programs without any syntactic additions or semantic alterations to Eiffel: i.e. no parallel primitives are added, and the parallel program is modelled to execute with equivalent semantics to the sequential version. If the programming principles are followed, a parallelised program achieves the maximum level of potential parallelisation within the concurrency model.

Goal detection from natural language queries

This paper aims to identify the communication goal(s) of a user's information-seeking query out of a finite set of within-domain goals in natural language queries. It proposes using Tree-Augmented Naive Bayes networks (TANs) for goal detection. The problem is formulated as N binary decisions, and each is performed by a TAN. Comparative study has been carried out to compare the performance with Naive Bayes, fully-connected TANs, and multi-layer neural networks. Experimental results show that TANs consistently give better results when tested on the ATIS and DARPA Communicator corpora.

Utilising fiction to promote english language acquisition

Towards the end of the university stage, students residing in the United Arab Emirates and specialising in subjects other than English are expected- amongst other university requirements- to have acquired adequate communicative competence as well as a repertoire of critical thinking skills. Despite the efforts made within the field of teaching English to EFL university students in the country, the output gained in terms of acquired skills and competencies is still below expectations. The main concerns of the current thesis are, therefore, a) to investigate the factors which inhibit EFL university students’ progress in the areas of acquiring adequate communicative competence as well as critical thinking skills, and b) to propose a course book and pedagogic methods to improve students’ progress in the areas of acquiring adequate communicative competence as well as critical thinking skills. Believing in the essential role literature plays in enhancing critical thinking and promoting communicative competence on the part of EFL learners, the current study introduces a course, designed and implemented by the researcher: LEARN AND GAIN. The proposed course is fiction-based language teaching, adopting the view that literature is a resource rather than an object, thus advocating the use of literature as one of the main resources in foreign/second language acquisition. Investigating whether or not the proposed course was effective in promoting EFL university students’ communicative competence as well as enhancing their critical thinking skills, a study sample taken from the study population was selected. Adopting an experimental design, the research project involved two groups: experimental and control. The experimental group students were exposed to the proposed course whilst the control group students were exposed to a general English language course. To examine treatment effectiveness, the researcher set and administered a pre-post test. Divided into two main parts, communicative critical reading competence and communicative critical writing competence, the pre-post test measured subjects’ communicative critical reading competence and subjects’ communicative critical writing competence. In addition, a pre-post questionnaire was administered and a semi-structured interview was conducted involving the experimental group students, to gain an awareness of students’ attitudes towards learning literary texts in general, and the proposed course in particular. To examine issues of interest and relevance, gender differences: male vs. female, and university major: science vs. non-science, were also examined for enrichment purposes. For the purpose of gathering sufficient data about subjects’ achievements on the pre-post, the following statistical tests were conducted: Mann-Whitney test, and paired data t-test. Based on the statistical findings, the experimental group students’ performance on the communicative critical reading competence pre-post test and the communicative critical writing competence pre-post test was significantly better than their counterparts of the control group students. Speaking of gender differences in relation to language performance on the communicative critical reading competence pre-post test and the communicative critical writing competence pre-post test, no significant differences were cited. Neither did the researcher cite any significant performance differences between science/non-science students on the communicative critical reading competence pre-post test and the communicative critical writing competence pre-post test. As far as the questionnaire’s findings are concerned, the experimental group students’ responses to the post-questionnaire’s items were more positive than those of their responses to the pre-questionnaire’s, thus indicating some positive attitudes towards literature, which students possibly gained throughout the course of implementation. Relating the discussion to the interview’s results, students conveyed their satisfaction with the proposed course, emphasising that promoting English language skills through the use of literary texts was rewarding. In the light of findings and conclusions, a number of recommendations as well as implications have been proposed. The current study aimed to arrive at some appropriate suggestions to a number of enquiries, yet concluding with some areas of enquiry to be explored for further research.

Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing

Procedural knowledge is the knowledge required to perform certain tasks, and forms an important part of expertise. A major source of procedural knowledge is natural language instructions. While these readable instructions have been useful learning resources for human, they are not interpretable by machines. Automatically acquiring procedural knowledge in machine interpretable formats from instructions has become an increasingly popular research topic due to their potential applications in process automation. However, it has been insufficiently addressed. This paper presents an approach and an implemented system to assist users to automatically acquire procedural knowledge in structured forms from instructions. We introduce a generic semantic representation of procedures for analysing instructions, using which natural language techniques are applied to automatically extract structured procedures from instructions. The method is evaluated in three domains to justify the generality of the proposed semantic representation as well as the effectiveness of the implemented automatic system.

Cross ontology query answering on the semantic web:an initial evaluation

PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.

Implications of query caching for JXTA peers

This dissertation studies the caching of queries and how to cache in an efficient way, so that retrieving previously accessed data does not need any intermediary nodes between the data-source peer and the querying peer in super-peer P2P network. A precise algorithm was devised that demonstrated how queries can be deconstructed to provide greater flexibility for reusing their constituent elements. It showed how subsequent queries can make use of more than one previous query and any part of those queries to reconstruct direct data communication with one or more source peers that have supplied data previously. In effect, a new query can search and exploit the entire cached list of queries to construct the list of the data locations it requires that might match any locations previously accessed. The new method increases the likelihood of repeat queries being able to reuse earlier queries and provides a viable way of by-passing shared data indexes in structured networks. It could also increase the efficiency of unstructured networks by reducing traffic and the propensity for network flooding. In addition, performance evaluation for predicting query routing performance by using a UML sequence diagram is introduced. This new method of performance evaluation provides designers with information about when it is most beneficial to use caching and how the peer connections can optimize its exploitation.

Teacher use of personal narratives in the Japanese university english language classroom

While storytelling in conversation has been extensively investigated, much less is known about storytelling in the English language classroom, particularly teachers telling their personal experience stories, termed teacher personal narratives in this study. Teacher personal narratives, a combination of the ancient art of human storytelling and the current practices of teaching, offer an innovative approach to language teaching and learning. This thesis examines teacher personal narrative use in Japanese university English language classrooms and is of relevance to both practicing classroom teachers and teacher educators because it explores the role, significance, and effectiveness of personal stories told by teachers. The pedagogical implications which the findings may have for language teaching and learning as well as for teacher education programs are also discussed. Four research questions were posed: 1. What are the characteristics of teacher personal narratives? 2. When, how, and why do language teachers use personal narratives in the classroom? 3. What is the reaction of learners to teacher personal narratives? 4. How do teacher personal narratives provide opportunities for student learning? A mixed methods approach using the tradition of multiple case studies provided an in-depth exploration of the personal narratives of four teachers. Data collection consisted of classroom observations and audio recordings, teacher and student semi-structured interviews, student diaries, and Japan-wide teacher questionnaires. Ninety-seven teacher personal narratives were analyzed for their structural and linguistic features. The findings showed that the narrative elements of orientation, complication, and evaluation are almost always present in these stories, and that discourse and tense markers may aid in student noticing of the input which can lead to eventual student output. The data also demonstrated that reasons for telling narratives mainly fall into two categories: affectiveoriented and pedagogical-oriented purposes. This study has shown that there are significant differences between conversational storytelling and educational storytelling.

Something to talk about: Content and Language Integrated Learning in Modern Languages in British Higher Education. A case study of German at Aston University

This thesis investigates Content and Language Integrated Learning (CLIL) in German undergraduate programmes in the UK. At its core is a study of how one German department integrates the teaching of language and content in its undergraduate programmes and how instructors and students experience this approach. This micro-context is embedded in the wider macro-context of UK Higher Education and subject to outside forces - be they political, economic, socio-cultural - whose effects will manifest in more or less obvious ways. Data was collected via an online survey of Heads of German at British universities to determine the status quo of CLIL in UK Higher Education and to investigate how certain institutional parameters determine the introduction of CLIL in Higher Education. This project employs a mixed-method case study approach and is based on student questionnaires and semi-structured interview with German teaching staff. The study brings to light a number of significant aspects. For example, contrary to popular belief, content provision in the L2 is rather common at British universities, which is currently not reflected in the research. Student data indicates that German students perceive clear advantages in the university’s approach to CLIL. They consider German-taught content classes challenging yet beneficial for their language development. Staff interviews have yielded intriguing information about perceived advantages and disadvantages of CLIL, about its implications for classroom practice, and about instructors’ attitude towards teacher training, which echo findings from similar investigations in European contexts. Finally, the results of the macro-analysis and the case study are compared and contrasted with findings from European research on ICLHE/CLIL to determine differences and similarities with the British context, a set of recommendations is made regarding CLIL practice at the case study institution, and some implications these indings may have for the future of CLIL in British higher education are discussed.