Queensland University of Technology: Annual Report 2010

Our annual report provides an evaluation of our performance and achievements during the previous year, measured against our goals and strategic plans. It documents our performance in the three key areas of: teaching and learning research community service. The report includes a summary of financial performance and a copy of our audited accounts

Who Controls the Past Controls the Future - Life Annotation in Principle and Practice

The fields of the Semantic Web and Ubiquitous Computing are both relatively new fields within the discipline of Computer Science. Yet both are growing and have begun to overlap as people demand ever-smaller computers with persistent access to the internet. The Semantic Web has the potential to become a global knowledge store duplicating the information on the Web, albeit in a machine-readable form. Such a knowledge base combined with truly ubiquitous systems could provide a great benefit for humans. But what of personal knowledge? Information is generally of more use when linked to other information. Sometimes this information must be kept private, so integrating personal knowledge with the Semantic Web is not desirable. Instead, it should be possible for a computer system to collect and store private knowledge while also being able to augment it with public knowledge from the Web, all without the need for user effort. This thesis begins with a review of both fields, indicating the points at which they overlap. It describes the need for semantic annotation and various processes through which it may be achieved. A method for annotating a human's life using a combination of personal data collected using an ubiquitous system and public data freely available on the Semantic Web is suggested and conceptually compared to human memory. Context-aware computing is described along with its potential to annotate the life of a human being and the hypothesis that today's technology is able to carry out this task is presented. The work then introduces a portable system for automatically logging contextual data and describes a study which used this system to gather life annotations on one specific individual over the course of two years. The implementation of the system and its use is documented and the data collected is presented and evaluated. Finally the thesis offers the conclusion that one type of contextual data is not enough to answer most questions and that multiple forms of data need to be merged in order to get a useful picture of a person's life. The thesis concludes with a brief look into the future of the Semantic Web and how it has the potential to assist in achieving better results in this field of study

Exploring attributes, sequences, and time in Recommender Systems: From classical to Point-of-Interest recommendation

Tesis Doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingenieria Informática. Fecha de lectura: 08-07-2021Since the emergence of the Internet and the spread of digital communications throughout the world, the amount of data stored on the Web has been growing exponentially. In this new digital era, a large number of companies have emerged with the purpose of ltering the information available on the web and provide users with interesting items. The algorithms and models used to recommend these items are called Recommender Systems. These systems are applied to a large number of domains, from music, books, or movies to dating or Point-of-Interest (POI), which is an increasingly popular domain where users receive recommendations of di erent places when they arrive to a city. In this thesis, we focus on exploiting the use of contextual information, especially temporal and sequential data, and apply it in novel ways in both traditional and Point-of-Interest recommendation. We believe that this type of information can be used not only for creating new recommendation models but also for developing new metrics for analyzing the quality of these recommendations. In one of our rst contributions we propose di erent metrics, some of them derived from previously existing frameworks, using this contextual information. Besides, we also propose an intuitive algorithm that is able to provide recommendations to a target user by exploiting the last common interactions with other similar users of the system. At the same time, we conduct a comprehensive review of the algorithms that have been proposed in the area of POI recommendation between 2011 and 2019, identifying the common characteristics and methodologies used. Once this classi cation of the algorithms proposed to date is completed, we design a mechanism to recommend complete routes (not only independent POIs) to users, making use of reranking techniques. In addition, due to the great di culty of making recommendations in the POI domain, we propose the use of data aggregation techniques to use information from di erent cities to generate POI recommendations in a given target city. In the experimental work we present our approaches on di erent datasets belonging to both classical and POI recommendation. The results obtained in these experiments con rm the usefulness of our recommendation proposals, in terms of ranking accuracy and other dimensions like novelty, diversity, and coverage, and the appropriateness of our metrics for analyzing temporal information and biases in the recommendations producedDesde la aparici on de Internet y la difusi on de las redes de comunicaciones en todo el mundo, la cantidad de datos almacenados en la red ha crecido exponencialmente. En esta nueva era digital, han surgido un gran n umero de empresas con el objetivo de ltrar la informaci on disponible en la red y ofrecer a los usuarios art culos interesantes. Los algoritmos y modelos utilizados para recomendar estos art culos reciben el nombre de Sistemas de Recomendaci on. Estos sistemas se aplican a un gran n umero de dominios, desde m usica, libros o pel culas hasta las citas o los Puntos de Inter es (POIs, en ingl es), un dominio cada vez m as popular en el que los usuarios reciben recomendaciones de diferentes lugares cuando llegan a una ciudad. En esta tesis, nos centramos en explotar el uso de la informaci on contextual, especialmente los datos temporales y secuenciales, y aplicarla de forma novedosa tanto en la recomendaci on cl asica como en la recomendaci on de POIs. Creemos que este tipo de informaci on puede utilizarse no s olo para crear nuevos modelos de recomendaci on, sino tambi en para desarrollar nuevas m etricas para analizar la calidad de estas recomendaciones. En una de nuestras primeras contribuciones proponemos diferentes m etricas, algunas derivadas de formulaciones previamente existentes, utilizando esta informaci on contextual. Adem as, proponemos un algoritmo intuitivo que es capaz de proporcionar recomendaciones a un usuario objetivo explotando las ultimas interacciones comunes con otros usuarios similares del sistema. Al mismo tiempo, realizamos una revisi on exhaustiva de los algoritmos que se han propuesto en el a mbito de la recomendaci o n de POIs entre 2011 y 2019, identi cando las caracter sticas comunes y las metodolog as utilizadas. Una vez realizada esta clasi caci on de los algoritmos propuestos hasta la fecha, dise~namos un mecanismo para recomendar rutas completas (no s olo POIs independientes) a los usuarios, haciendo uso de t ecnicas de reranking. Adem as, debido a la gran di cultad de realizar recomendaciones en el ambito de los POIs, proponemos el uso de t ecnicas de agregaci on de datos para utilizar la informaci on de diferentes ciudades y generar recomendaciones de POIs en una determinada ciudad objetivo. En el trabajo experimental presentamos nuestros m etodos en diferentes conjuntos de datos tanto de recomendaci on cl asica como de POIs. Los resultados obtenidos en estos experimentos con rman la utilidad de nuestras propuestas de recomendaci on en t erminos de precisi on de ranking y de otras dimensiones como la novedad, la diversidad y la cobertura, y c omo de apropiadas son nuestras m etricas para analizar la informaci on temporal y los sesgos en las recomendaciones producida

From people to entities : typed search in the enterprise and the web

[no abstract

Factors Influencing Customer Satisfaction towards E-shopping in Malaysia

Online shopping or e-shopping has changed the world of business and quite a few people have decided to work with these features. What their primary concerns precisely and the responses from the globalisation are the competency of incorporation while doing their businesses. E-shopping has also increased substantially in Malaysia in recent years. The rapid increase in the e-commerce industry in Malaysia has created the demand to emphasize on how to increase customer satisfaction while operating in the e-retailing environment. It is very important that customers are satisfied with the website, or else, they would not return. Therefore, a crucial fact to look into is that companies must ensure that their customers are satisfied with their purchases that are really essential from the ecommerce’s point of view. With is in mind, this study aimed at investigating customer satisfaction towards e-shopping in Malaysia. A total of 400 questionnaires were distributed among students randomly selected from various public and private universities located within Klang valley area. Total 369 questionnaires were returned, out of which 341 questionnaires were found usable for further analysis. Finally, SEM was employed to test the hypotheses. This study found that customer satisfaction towards e-shopping in Malaysia is to a great extent influenced by ease of use, trust, design of the website, online security and e-service quality. Finally, recommendations and future study direction is provided. Keywords: E-shopping, Customer satisfaction, Trust, Online security, E-service quality, Malaysia

Privacy in location-based services

Während der letzten Jahre erfuhren mobile Geräte durch grössere Speicher, der Entwicklung schnellerer Prozessoren und höherer Übertragungsraten, um nur einige der wichtigsten Performanceparameter zu nennen, einen enormen Entwicklungsschub. Gleichzeitig sind die unterschiedlichen Positionierungssysteme mittlerweile ausgereift und klein genug, um in mobile Geräte verbaut werden zu können. Erst durch die Möglichkeit der Zusammenführung von solchen ausgereiften Positionierungs- mit existierenden Telekommunikationstechnologien kann die Basis für eine neue Generation kontextsensitiver Anwendungen und entsprechender Geschaeftsmodelle geschaffen werden. Abgesehen von den technischen Massnahmen die zum Schutz gegen Attacken, Verfaelschungen und Missbrauch sensitiver Daten eingesetzt werden, müssen diese auch allen rechtlichen Aspekten und Rahmenbedingungen von Telekommunikationssystemen entsprechen. In diesem Sinne muss das Ziel von Forschungen im Bereich neuer kontext-sensitiver Systeme und Anwendungen die mit Positionsdaten operieren der Schutz der Privatheit jedes einzelnen Nutzers sein. Diese Dissertation beginnt mit einer Diskussion über verschiedene Aspekte von Location-Based Systemen. Es werden weiters unterschiedliche Anforderungen aufgezeigt deren Erfüllung notwendig sind, um flexible Systeme anbieten zu können und die zudem den Schutz der Privatheit der Nutzer garantieren können. Der wohl wichtigste Beitrag dazu ist ein Mechanismus der auf dem Begriff des Pseudonyms basiert.Dieses Verfahren garantiert maximale Sicherheit und Schutz der Privatheit der Benutzer während der Nutzung von Diensten. Der zweite Beitrag der Dissertation ist eine Telekom Service Architektur die den erwähnten Pseudonym-basierten Mechanismus integriert. Durch Einbeziehen dedizierter Dienste von Telekommunikationsanbietern bildet diese Architektur die Basis für die Realisierung neuer Geschäftsmodelle und ermöglicht die Implementierung des pay-as-you-go Konzeptes. Dieses ermöglicht Kunden anonym mobile Dienste von Drittanbietern zu konsumieren, ähnlich dem anonymen Kauf von Gütern mit realem Geld. Schliesslich wird mit der Implementierung einer Service Platform sowohl die Funktionsweise des Pseudonym Mechanismus sowie die Interaktionen der in der System Architektur vorgesehenen Dienste und Komponenten die zur Realisierung von Location-Based Anwendungen benötigt werden demonstriert.During the last years the development of mobile devices has gained significant progress with respect to memory capabilities, advanced processing power and higher transfer rates to name only a few performance parameters. At the same time eclectic positioning and localization technologies are meanwhile mature enough to be integrated into mobile devices. Not until positioning, localization and telecommunication technologies can be combined, seamlessly the basis for the proliferation of a new generation of context-aware applications and business models can be build. In this respect, location and position information foster novel future context-awareapplications. But, if this information is in the wrong hands such applications may by the same token pose severe threat. Therefore, apart from technical means against attacks, forgery and misuse of sensitive user information the interaction of all these systems must comply with legal requirements that precisely prescribe all aspects of telecommunication systems. In this spirit, the main research ob jective addressed for the design of new context- aware and location-based systems must be the protection of the user’s privacy. This dissertation discusses first various aspects of location-based systems and out of it the various needs that have to be addressed to be able to provide flexible location-based services to mobile users by preserving privacy. The main contribution of this work is a mechanism that is based on the notion of pseudonyms. The use of this kind of pseudonyms provides maximum security and privacy for users during communication. The second contribution is a telecommunication service architecture that is tightly coupled with the pseudonym mechanism. It allows new business models to be applied by leveraging the use of some services of the telcos’ infrastructure. This service application further allows the implementation of the so called pay-as-you-go concept. This allows customers to anonymously consume mobile services that are offered by third party application providers similarly to buying physical goods with cash. Finally, we demonstrate the implementation of a service platform that allows us to illustrate the operation of the pseudonym mechanism and the interworking of the system architecture’s components that are tailored for the realization of location-based applications

MDSSF: a federated architecture for product procurement

In the AEC (Architecture / Engineering / Construction) industry, large construction projects are tackled by consortia of companies and individuals, who work collaboratively for the duration of the project. The consortia include design teams, product suppliers, contractors and inspection teams who must collaborate and conform to predefined scheduling constraints and standards. These projects are unique, complex and involve many participants from a number of organisations. Construction projects require consortia to procure supplies such as building materials and furniture from product suppliers. In large AEC projects, procurement of products, services and construction materials is an important and time consuming activity. Materials are sourced on a global basis from a large number of suppliers. The scale of the purchases made in large projects show that their procurement is a non-trivial exercise. Therefore, consortia members or the contractors require access to a large body of information about products or material information to aid procurement decision making. Web based communication and network technologies play an increasingly important role in supporting collaboration in AEC projects. However collaborative working in the construction industry is still restricted by the current limitations of network and communication technologies and their system architectures which are usually client/server based. The construction industry has been examining how the advancements in distributed computing technologies such as the Grid computing can remove some of the existing limitations and enhance collaboration. This research investigated how the procurement challenges such as accessing up-to-date product information available from a large number of products suppliers in an integrated manner using standard means could be addressed. A novel solution to the procurement challenges in the form of a distributed information sharing architecture is presented. The architecture uses the concepts of federated databases such as distribution of data and autonomy of databases and couples it with Grid computing to facilitate information exchange in a collaborative, coherent and integrated way to address the product procurement challenges