The future of the music industry in an age of digital distribution

This is an invited public lecture. The talk will cover how the music industry has changed due to digital technologies. During the talk I will look at how the changing balance between live music, music licensing and recorded music. I will also discuss online music subscription services and whether they might be a future for music distribution in China and elsewhere in the world. It will also look at how music artists and composers are affected by this change.

A recommendation approach dealing with multiple market segments

A new community and communication type of social networks - online dating - are gaining momentum. With many people joining in the dating network, users become overwhelmed by choices for an ideal partner. A solution to this problem is providing users with partners recommendation based on their interests and activities. Traditional recommendation methods ignore the users’ needs and provide recommendations equally to all users. In this paper, we propose a recommendation approach that employs different recommendation strategies to different groups of members. A segmentation method using the Gaussian Mixture Model (GMM) is proposed to customize users’ needs. Then a targeted recommendation strategy is applied to each identified segment. Empirical results show that the proposed approach outperforms several existing recommendation methods.

Integrating time forgetting mechanisms into topic-based user interest profiling

The rapid development of the World Wide Web has created massive information leading to the information overload problem. Under this circumstance, personalization techniques have been brought out to help users in finding content which meet their personalized interests or needs out of massively increasing information. User profiling techniques have performed the core role in this research. Traditionally, most user profiling techniques create user representations in a static way. However, changes of user interests may occur with time in real world applications. In this research we develop algorithms for mining user interests by integrating time decay mechanisms into topic-based user interest profiling. Time forgetting functions will be integrated into the calculation of topic interest measurements on in-depth level. The experimental study shows that, considering temporal effects of user interests by integrating time forgetting mechanisms shows better performance of recommendation.

Acquiring user information needs for recommender systems

Most recommender systems attempt to use collaborative filtering, content-based filtering or hybrid approach to recommend items to new users. Collaborative filtering recommends items to new users based on their similar neighbours, and content-based filtering approach tries to recommend items that are similar to new users' profiles. The fundamental issues include how to profile new users, and how to deal with the over-specialization in content-based recommender systems. Indeed, the terms used to describe items can be formed as a concept hierarchy. Therefore, we aim to describe user profiles or information needs by using concepts vectors. This paper presents a new method to acquire user information needs, which allows new users to describe their preferences on a concept hierarchy rather than rating items. It also develops a new ranking function to recommend items to new users based on their information needs. The proposed approach is evaluated on Amazon book datasets. The experimental results demonstrate that the proposed approach can largely improve the effectiveness of recommender systems.

Ontology-based product's reputation model

Different reputation models are used in the web in order to generate reputation values for products using uses' review data. Most of the current reputation models use review ratings and neglect users' textual reviews, because it is more difficult to process. However, we argue that the overall reputation score for an item does not reflect the actual reputation for all of its features. And that's why the use of users' textual reviews is necessary. In our work we introduce a new reputation model that defines a new aggregation method for users' extracted opinions about products' features from users' text. Our model uses features ontology in order to define general features and sub-features of a product. It also reflects the frequencies of positive and negative opinions. We provide a case study to show how our results compare with other reputation models.

Slicing big data - Twitter, gambling and time sensitive information

Big Data presents many challenges related to volume, whether one is interested in studying past datasets or, even more problematically, attempting to work with live streams of data. The most obvious challenge, in a ‘noisy’ environment such as contemporary social media, is to collect the pertinent information; be that information for a specific study, tweets which can inform emergency services or other responders to an ongoing crisis, or give an advantage to those involved in prediction markets. Often, such a process is iterative, with keywords and hashtags changing with the passage of time, and both collection and analytic methodologies need to be continually adapted to respond to this changing information. While many of the data sets collected and analyzed are preformed, that is they are built around a particular keyword, hashtag, or set of authors, they still contain a large volume of information, much of which is unnecessary for the current purpose and/or potentially useful for future projects. Accordingly, this panel considers methods for separating and combining data to optimize big data research and report findings to stakeholders. The first paper considers possible coding mechanisms for incoming tweets during a crisis, taking a large stream of incoming tweets and selecting which of those need to be immediately placed in front of responders, for manual filtering and possible action. The paper suggests two solutions for this, content analysis and user profiling. In the former case, aspects of the tweet are assigned a score to assess its likely relationship to the topic at hand, and the urgency of the information, whilst the latter attempts to identify those users who are either serving as amplifiers of information or are known as an authoritative source. Through these techniques, the information contained in a large dataset could be filtered down to match the expected capacity of emergency responders, and knowledge as to the core keywords or hashtags relating to the current event is constantly refined for future data collection. The second paper is also concerned with identifying significant tweets, but in this case tweets relevant to particular prediction market; tennis betting. As increasing numbers of professional sports men and women create Twitter accounts to communicate with their fans, information is being shared regarding injuries, form and emotions which have the potential to impact on future results. As has already been demonstrated with leading US sports, such information is extremely valuable. Tennis, as with American Football (NFL) and Baseball (MLB) has paid subscription services which manually filter incoming news sources, including tweets, for information valuable to gamblers, gambling operators, and fantasy sports players. However, whilst such services are still niche operations, much of the value of information is lost by the time it reaches one of these services. The paper thus considers how information could be filtered from twitter user lists and hash tag or keyword monitoring, assessing the value of the source, information, and the prediction markets to which it may relate. The third paper examines methods for collecting Twitter data and following changes in an ongoing, dynamic social movement, such as the Occupy Wall Street movement. It involves the development of technical infrastructure to collect and make the tweets available for exploration and analysis. A strategy to respond to changes in the social movement is also required or the resulting tweets will only reflect the discussions and strategies the movement used at the time the keyword list is created — in a way, keyword creation is part strategy and part art. In this paper we describe strategies for the creation of a social media archive, specifically tweets related to the Occupy Wall Street movement, and methods for continuing to adapt data collection strategies as the movement’s presence in Twitter changes over time. We also discuss the opportunities and methods to extract data smaller slices of data from an archive of social media data to support a multitude of research projects in multiple fields of study. The common theme amongst these papers is that of constructing a data set, filtering it for a specific purpose, and then using the resulting information to aid in future data collection. The intention is that through the papers presented, and subsequent discussion, the panel will inform the wider research community not only on the objectives and limitations of data collection, live analytics, and filtering, but also on current and in-development methodologies that could be adopted by those working with such datasets, and how such approaches could be customized depending on the project stakeholders.

Health Care and the Law [Fifth Edition]

"Fully updated to reflect the rapid pace of change in the health law areas. Explains the legal process as it relates to the health care professional."--Libraries Australia. Table of Contents Part I. Introductory concepts -- 1. What is law -- 2. The legal structure -- 3. The legal process -- Part II. Patient relationships -- 4. Consent to health care by a competent adult -- 5. Consent to health care by a legally incompetent person -- 6. Negligence -- 7. Patient information and privacy -- 8. Patients' property -- 9. Contract -- Part III. Employment -- 10. Contracts to provide health care services -- 011. Accidents and injuries related to health care --12. Registration and practice --13. Drugs --14. Criminal law and health care --15. State involvement in birth and death: registration and coronial inquiries --16. State involvement in threats to health or welfare --17. Human tissue transplants and reproductive technology --18. Expanding recognition of human rights --19. Decision making, law and ethics: a discussion.

Australian Medical Liability [Second Edition]

"Australian Medical Liability is a comprehensive handbook focusing on medical liability in the context of the civil liability legislation across Australia. This thoroughly revised second edition provides a detailed and in depth commentary on the elements of medical liability caselaw and legislation."--Libraries Australia

Understanding the implications of digital interactions on the design of public urban spaces

This study investigated the impact of digital networked social interactions on the design of public urban spaces. Urban informatics, social media, ubiquitous computing, and mobile technology offer great potential to urban planning, as tools of communication, community engagement, and placemaking. The study considers the function of public spaces as 'third places,' that is, social places that are familiar, comfortable, social and meaningful for everyday life outside the home and work. Libraries were chosen as the study's focus. The study produced findings and insights at the intersection of urban planning (place), cultural geography and urban sociology (people), and information communication technology (technology) – the triad of urban informatics.

Knowledge unlatched : encouraging innovation in academic publishing through collective action and Open Access licensing

This case study examines the way in which Knowledge Unlatched is combining collective action and open access licenses to encourage innovation in markets for specialist academic books. Knowledge Unlatched is a not for profit organisation that has been established to help a global community of libraries coordinate their book purchasing activities more effectively and, in so doing, to ensure that books librarians select for their own collections become available for free for anyone in the world to read. The Knowledge Unlatched model is an attempt to re-coordinate a market in order to facilitate a transition to digitally appropriate publishing models that include open access. It offers librarians an opportunity to facilitate the open access publication of books that their own readers would value access to. It provides publishers with a stable income stream on titles selected by libraries, as well as an ability to continue selling books to a wider market on their own terms. Knowledge Unlatched provides a rich case study for researchers and practitioners interested in understanding how innovations in procurement practices can be used to stimulate more effective, equitable markets for socially valuable products.

Open access for scholarly books : policy and practice

Fierce debates have characterised 2013 as the implications of government mandates for open access have been debated and pathways for implementation worked out. There is no doubt that journals will move to a mix of gold and green and there will be an unsettled relationship between the two. But what of books? Is it conceivable that in those subjects, such as in the humanities and social sciences, where something longer than the journal article is still the preferred form of scholarly communications that these will stay closed? Will it be acceptable to have some publicly funded research made available only in closed book form (regardless of whether print or digital) while other subjects where articles are favoured go open access? Frances Pinter is in the middle of these debates, having founded Knowledge Unlatched (see www.knowledgeunlatched.org). KU is a global library consortium enabling open access books. Knowledge Unlatched is helping libraries to work together for a sustainable open future for specialist academic books. Its vision is a healthy market that includes free access for end users. In this session she will review all the different models that are being experimented with around the world. These include author-side payments, institutional subsidies, research funding body approaches etc. She will compare and contrast these models with those that are already in place for journal articles. She will also review the policy landscape and report on how open access scholarly books are faring to date Frances Pinter, Founder, Knowledge Unlatched, UK

The next publication revolution : open access and the post-2014 Research Excellence Framework

The world is increasingly moving towards more open models of publishing and communication. The UK government has demonstrated a firm commitment to ensuring that academic research outputs are made available to all who might benefit from access to them, and its open access policy attempts to make academic publications freely available to readers, rather than being locked behind pay walls or only available to researchers with access to well-funded university libraries. Open access policies have an important role to play in fostering an open innovation ecosystem and ensuring that maximum value is derived from investments in university-based research. But are we ready to embrace this change?

Review of community facilities in Australian retirement villages : a content analysis

Aim Facilities in retirement villages form a supportive environment for older residents. The purpose of this paper is to investigate the provision of these facilities in retirement villages, which are regarded as a viable accommodation option for the ever-increasing ageing population in Australia. Method A content analysis of 124 retirement villages operated by 22 developers in Queensland and South Australia was conducted for the research purpose. Results The most widely provided facilities are community centres, libraries, barbeque facilities, hairdressers/salons and billiards/snooker/pool tables. Commercial operators provide more facilities than not-for-profit organisations and larger retirement villages normally have more facilities due to the economics of scale involved. Conclusions The results of the study provide a useful reference for providing facilities within retirement villages that may support the quality lifestyles for the older residents.

Why not the best schools? The Australia Report

"The Australia Report is part of a set of six country reports that support Why not the best schools? It contains seven case studies of successful schools in Australia and examines the reasons for their success. Through interviews with principals, other school leaders and analysis of school reports, the reports examine how these schools achieved transformation and success by actively developing and building strength in four kinds of capital: intellectual, social, financial and spiritual ? and aligning them to their mission through outstanding governance. Why Not the Best Schools?: The Australia Report is part of a set of six country reports that support Why Not the Best Schools? by Brian Caldwell and Jessica Harris (ACER Press 2008). Why Not the Best Schools? draws on the findings of the International Project to Frame the Transformation of Schools conducted in Australia, China, England, Finland."--Libraries Australia

Imaginative cinematic geographies of Australia : the mapped view in Charles Chauvel's Jedda and Baz Luhrmann's Australia

Cinema is central to the mediation of history and the construction of imaginative geographies that offer a politicized view of the land and its people. This article investigates cinematic representations of landscape and analyses the ways in which maps and journeys in Charles Chauvel’s film Jedda (1955) and Baz Luhrmann’s Australia (2008)—both set in the far North of Australia—articulate conceptions of “Australianness” in relationship to Indigeneity and the land. We argue the exotic tropics and arid outback regions of northern Australia function metonymically as representative of the nation in these films, working to naturalize ideological values and affirm dominant narratives of history, identity, and entitlement.