Integrated configuration of enterprise systems for interoperability : towards process model and business document specification alignment

Enterprise Systems (ES) can be understood as the de facto standard for holistic operational and managerial support within an organization. Most commonly ES are offered as commercial off-the-shelf packages, requiring customization in the user organization. This process is a complex and resource-intensive task, which often prevents small and midsize enterprises (SME) from undertaking configuration projects. Especially in the SME market independent software vendors provide pre-configured ES for a small customer base. The problem of ES configuration is shifted from the customer to the vendor, but remains critical. We argue that the yet unexplored link between process configuration and business document configuration must be closer examined as both types of configuration are closely tied to one another.

Learner strategy instruction and student uptake of strategies in a Japanese as a foreign language context

The Japanese language is recognised as being more difficult than European languages, needing three times more tuition time to reach comparable levels of proficiency. Encouraging Japanese as a Foreign Language (JFL) students to become aware of, and effectively use, learner strategies is one way to assist them become more controlled, effective learners leading to enhanced language learning. This thesis investigates the development and implementation of a JFL curriculum implemented in a university course for students learning JFL. The curriculum was developed specifically to assist beginner university students with the development of learner strategies appropriate for a JFL reading context. The theoretical underpinning of the study was informed by Educational Criticism (Eisner, 1998), which aims to describe, interpret and evaluate the processes of interaction between the teacher, the learner and the curriculum and the students' learning processes in a tertiary JFL classroom. The study investigated the effect on student learning processes of a JFL reading program that incorporated explicit learner strategy instruction and identified factors that enhanced or impeded the development of learner strategy knowledge. The participants in the study were 29 students enrolled in the course, 10 of whom volunteered to undertake additional tasks, and the two teachers who implemented the curriculum. Data collection involved a number of different strategies to observe the students' participation in the classroom and learning experiences. Learning processes were investigated through TOL protocols, classroom observations, course evaluations, interviews, and learner strategy use measurement instruments (SILL, SILK and SORS) to document student uptake of learner strategies. The design of the study and its applied focus recognised my expertise as a JFL teacher, curriculum writer and researcher, an approach that aligns with the purpose of a Professional Doctorate. Four general thematics, or principles, were identified in this study: „h Explicit learner strategy instruction provides the context for students to develop awareness of learner strategies and take control of their learning; „h Collaborative learning and interaction with teachers offers students the opportunity for shared knowledge construction; „h Reflection offers teachers and students the opportunity to reflect on their own learning style and strategy knowledge, and raises awareness of other available strategies; and „h Diverse cultural and linguistic backgrounds have an impact on curriculum implementation and student uptake of learner strategies. The study¡¦s methodological contribution is that it is one of the first in Australia to use Educational Criticism (Eisner, 1998) as a research methodology. The findings contribute to theoretical knowledge in the fields of Applied Linguistics, Second Language Teaching and Learning, Second Language Acquisition and JFL Teaching and Learning by offering new knowledge on the importance of learner strategies in the beginner JFL classroom, the potential of explicit strategy instruction, the value of reflection for both teachers and students, and the important role of the teacher in the process of curriculum implementation. The general principles identified and the findings of this in-depth study of a JFL classroom can be drawn upon to inform other teaching practice situations, and invite practitioners from not just Japanese, but from other language areas and other disciplines, to examine and improve their own practices, and suggest further research questions to pursue this line of enquiry.

Rethinking cultural sensitivity : a response to criticism

We welcome Olga Kanitsaki’s comments on our paper ‘Rethinking cultural sensitivity’ (Nursing Inquiry 1996 3: 3-10) and appreciate the opportunity to respond. The main point we seek to emphasize here is the fundamental difference between our position and that of Kanitsaki. Our analysis is based on the recognition that the term ‘culture’ is historically and politically grounded. Its meaning changes over time and its contemporary usage (and popularity) thus demands explanation. The analytical task we undertook in our work was to emphasize the politics of culture rather than posing the political as one of a number of cultural dimensions (alongside the social, religious or technological)...

Use of a photographic food diary method to document dietary intake in people with Parkinson's Disease

Cognitive impairment and physical disability are common in Parkinson’s disease (PD). As a result diet can be difficult to measure. This study aimed to evaluate the use of a photographic dietary record (PhDR) in people with PD. During a 12-week nutrition intervention study, 19 individuals with PD kept 3-day PhDRs on three occasions using point-and-shoot digital cameras. Details on food items present in the PhDRs and those not photographed were collected retrospectively during an interview. Following the first use of the PhDR method, the photographer completed a questionnaire (n=18). In addition, the quality of the PhDRs was evaluated at each time point. The person with PD was the sole photographer in 56% of the cases, with the remainder by the carer or combination of person with PD and the carer. The camera was rated as easy to use by 89%, keeping a PhDR was considered acceptable by 94% and none would rather use a “pen and paper” method. Eighty-three percent felt confident to use the camera again to record intake. Of the photos captured (n=730), 89% were of adequate quality (items visible, in-focus), while only 21% could be used alone (without interview information) to assess intake. Over the study, 22% of eating/drinking occasions were not photographed. PhDRs were considered an easy and acceptable method to measure intake among individuals with PD and their carers. The majority of PhDRs were of adequate quality, however in order to quantify intake the interview was necessary to obtain sufficient detail and capture missing items.

A topic based document relevance ranking model

Topic modelling has been widely used in the fields of information retrieval, text mining, machine learning, etc. In this paper, we propose a novel model, Pattern Enhanced Topic Model (PETM), which makes improvements to topic modelling by semantically representing topics with discriminative patterns, and also makes innovative contributions to information filtering by utilising the proposed PETM to determine document relevance based on topics distribution and maximum matched patterns proposed in this paper. Extensive experiments are conducted to evaluate the effectiveness of PETM by using the TREC data collection Reuters Corpus Volume 1. The results show that the proposed model significantly outperforms both state-of-the-art term-based models and pattern-based models.

Pattern-based topics for document modelling in information filtering

Many mature term-based or pattern-based approaches have been used in the field of information filtering to generate users’ information needs from a collection of documents. A fundamental assumption for these approaches is that the documents in the collection are all about one topic. However, in reality users’ interests can be diverse and the documents in the collection often involve multiple topics. Topic modelling, such as Latent Dirichlet Allocation (LDA), was proposed to generate statistical models to represent multiple topics in a collection of documents, and this has been widely utilized in the fields of machine learning and information retrieval, etc. But its effectiveness in information filtering has not been so well explored. Patterns are always thought to be more discriminative than single terms for describing documents. However, the enormous amount of discovered patterns hinder them from being effectively and efficiently used in real applications, therefore, selection of the most discriminative and representative patterns from the huge amount of discovered patterns becomes crucial. To deal with the above mentioned limitations and problems, in this paper, a novel information filtering model, Maximum matched Pattern-based Topic Model (MPBTM), is proposed. The main distinctive features of the proposed model include: (1) user information needs are generated in terms of multiple topics; (2) each topic is represented by patterns; (3) patterns are generated from topic models and are organized in terms of their statistical and taxonomic features, and; (4) the most discriminative and representative patterns, called Maximum Matched Patterns, are proposed to estimate the document relevance to the user’s information needs in order to filter out irrelevant documents. Extensive experiments are conducted to evaluate the effectiveness of the proposed model by using the TREC data collection Reuters Corpus Volume 1. The results show that the proposed model significantly outperforms both state-of-the-art term-based models and pattern-based models

The Deleuze Spray, New York 1977 : an Interview with Sanford Kwinter, Professor of Architectural Theory and Criticism at the Harvard Graduate School of Design, on the Architectural Reception of Gilles Deleuze in America

So what do you want to know? I was in Paris between ‘75 and ‘78. But about half way through, Sylvère published the Anti-Oedipus issue of Semiotext(e) and, actually, that was for me one of the deciding events that made me decide to come to the United States, to come study at Columbia University. There appeared to be this little group working at Columbia working around these issues. In 1970, in Paris even, Deleuze was a cult – there was an incredibly small number of people following Deleuze... A transcript of my Interview with Kwinter about the Architectural Reception of Deleuze in America, which took place at Jerry’s,' Soho, New York, 15 January 2003. The transcript appeared as an Appendix at the back of my Masters Thesis undertaken at Yale School of Architecture, printed May 2003.

Travel journalists’ attitudes toward public relations : findings from a representative survey

The impact of public relations on emerging fields such as travel journalism has not gained much attention, despite the broader growth of lifestyle journalism, and its particular dependence on PR. This study reports the findings of a representative survey of Australian travel journalists, focusing on their views of PR. Results show that travel journalists are wary of PR, although they believe they can be relatively immune from its influence and see some PR activities as quite useful. Cluster analysis identifies three distinct groups based on their views of PR, which range from a positive attitude to strong criticism. Their backgrounds and differences are explored, pointing to gender, job status, and background in mainstream journalism as main determinants for differences.

The interactive PRP for diversifying document rankings

The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations. In this poster we focus on the Interactive PRP (iPRP), which rejects the assumption of independence between documents made by the PRP. Although the theoretical framework of the iPRP is appealing, no instantiation has been proposed and investigated. In this poster, we propose a possible instantiation of the principle, performing the first empirical comparison of the iPRP against the PRP. For document diversification, our results show that the iPRP is significantly better than the PRP, and comparable to or better than other methods such as Modern Portfolio Theory.

An analogy between the double slit experiment and document ranking

In the last years several works have investigated a formal model for Information Retrieval (IR) based on the mathematical formalism underlying quantum theory. These works have mainly exploited geometric and logical–algebraic features of the quantum formalism, for example entanglement, superposition of states, collapse into basis states, lattice relationships. In this poster I present an analogy between a typical IR scenario and the double slit experiment. This experiment exhibits the presence of interference phenomena between events in a quantum system, causing the Kolmogorovian law of total probability to fail. The analogy allows to put forward the routes for the application of quantum probability theory in IR. However, several questions need still to be addressed; they will be the subject of my PhD research

Using emotion to diversify document rankings

The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.

Document ranking with quantum probabilities

In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum probability theory is used to estimate the probability of relevance of a document given a user's query. We posit that quantum probability theory can lead to a better estimation of the probability of a document being relevant to a user's query than the common approach, i. e. the Probability Ranking Principle (PRP), which is based upon Kolmogorovian probability theory. Following our hypothesis, we formulate an analogy between the document retrieval scenario and a physical scenario, that of the double slit experiment. Through the analogy, we propose a novel ranking approach, the quantum probability ranking principle (qPRP). Key to our proposal is the presence of quantum interference. Mathematically, this is the statistical deviation between empirical observations and expected values predicted by the Kolmogorovian rule of additivity of probabilities of disjoint events in configurations such that of the double slit experiment. We propose an interpretation of quantum interference in the document ranking scenario, and examine how quantum interference can be effectively estimated for document retrieval. To validate our proposal and to gain more insights about approaches for document ranking, we (1) analyse PRP, qPRP and other ranking approaches, exposing the assumptions underlying their ranking criteria and formulating the conditions for the optimality of the two ranking principles, (2) empirically compare three ranking principles (i. e. PRP, interactive PRP, and qPRP) and two state-of-the-art ranking strategies in two retrieval scenarios, those of ad-hoc retrieval and diversity retrieval, (3) analytically contrast the ranking criteria of the examined approaches, exposing similarities and differences, (4) study the ranking behaviours of approaches alternative to PRP in terms of the kinematics they impose on relevant documents, i. e. by considering the extent and direction of the movements of relevant documents across the ranking recorded when comparing PRP against its alternatives. Our findings show that the effectiveness of the examined ranking approaches strongly depends upon the evaluation context. In the traditional evaluation context of ad-hoc retrieval, PRP is empirically shown to be better or comparable to alternative ranking approaches. However, when we turn to examine evaluation contexts that account for interdependent document relevance (i. e. when the relevance of a document is assessed also with respect to other retrieved documents, as it is the case in the diversity retrieval scenario) then the use of quantum probability theory and thus of qPRP is shown to improve retrieval and ranking effectiveness over the traditional PRP and alternative ranking strategies, such as Maximal Marginal Relevance, Portfolio theory, and Interactive PRP. This work represents a significant step forward regarding the use of quantum theory in information retrieval. It demonstrates in fact that the application of quantum theory to problems within information retrieval can lead to improvements both in modelling power and retrieval effectiveness, allowing the constructions of models that capture the complexity of information retrieval situations. Furthermore, the thesis opens up a number of lines for future research. These include: (1) investigating estimations and approximations of quantum interference in qPRP; (2) exploiting complex numbers for the representation of documents and queries, and; (3) applying the concepts underlying qPRP to tasks other than document ranking.

The Seventeenth Australasian Document Computing Symposium

Newsletter ACM SIGIR Forum: The Seventeenth Australian Document Computing Symposium was held in Dunedin, New Zealand on the 5th and 6th of December 2012. In total twenty four papers were submitted. From those eleven were accepted for full presentation and 8 for short presentation. A poster session was held jointly with the Australasian Language Technology Workshop.

The ranking based constrained document clustering method and its application to social event detection

With the growing size and variety of social media files on the web, it’s becoming critical to efficiently organize them into clusters for further processing. This paper presents a novel scalable constrained document clustering method that harnesses the power of search engines capable of dealing with large text data. Instead of calculating distance between the documents and all of the clusters’ centroids, a neighborhood of best cluster candidates is chosen using a document ranking scheme. To make the method faster and less memory dependable, the in-memory and in-database processing are combined in a semi-incremental manner. This method has been extensively tested in the social event detection application. Empirical analysis shows that the proposed method is efficient both in computation and memory usage while producing notable accuracy.

Perceptions of document relevance

This article presents a study of how humans perceive and judge the relevance of documents. Humans are adept at making reasonably robust and quick decisions about what information is relevant to them, despite the ever increasing complexity and volume of their surrounding information environment. The literature on document relevance has identified various dimensions of relevance (e.g., topicality, novelty, etc.), however little is understood about how these dimensions may interact. We performed a crowdsourced study of how human subjects judge two relevance dimensions in relation to document snippets retrieved from an internet search engine. The order of the judgment was controlled. For those judgments exhibiting an order effect, a q–test was performed to determine whether the order effects can be explained by a quantum decision model based on incompatible decision perspectives. Some evidence of incompatibility was found which suggests incompatible decision perspectives is appropriate for explaining interacting dimensions of relevance in such instances.