Through the clock's workings

Through the Clock’s Workings is a world first: a remixed and remixable anthology of literature.----- Prominent Australian authors have written new short stories and released them under a Creative Commons Attribution Non-Commercial ShareAlike licence. What that means is you can remix the stories, but only if you acknowledge the author, the remix is not for commercial use, and your new work is available for others to remix. The authors’ stories were made available on our website and new and emerging writers were invited to create their own remixes to be posted on the website and considered for publication in the print anthology alongside the original stories.----- The result is a world first: a remixed and remixable anthology of literature. Buy your copy now from the Sydney University Press eStore or download the electronic version.----- So how do you use a remixable anthology? Simple.----- Step 1 - Read. Thumb your way through the pages at will. Find the stories you love, the ones you hate, the ones that could be better.----- Step 2 - Re/create. Each story is yours to share and to remix. Use only one paragraph or character or just make subtle changes. Change the genre, alter its formal or stylistic characteristics, or revise its message. Use as little or as much as you like - as long as it works.----- Step 3 - Share. Be part of a growing community of literature remixing. Email your remix to us and start sharing. The entire anthology can be remixed - the original stories, the remixes, and even the fonts.----- Through the Clock’s Workings is Read&Write!

Random Indexing K-tree

Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering.

Word Segmentation for Chinese Wikipedia Using N-Gram Mutual Information

In this paper, we propose an unsupervised segmentation approach, named "n-gram mutual information", or NGMI, which is used to segment Chinese documents into n-character words or phrases, using language statistics drawn from the Chinese Wikipedia corpus. The approach alleviates the tremendous effort that is required in preparing and maintaining the manually segmented Chinese text for training purposes, and manually maintaining ever expanding lexicons. Previously, mutual information was used to achieve automated segmentation into 2-character words. The NGMI approach extends the approach to handle longer n-character words. Experiments with heterogeneous documents from the Chinese Wikipedia collection show good results.

Collaborative Filtering Recommender Systems based on Popular Tags

The social tags in web 2.0 are becoming another important information source to profile users' interests and preferences for making personalized recommendations. However, the uncontrolled vocabulary causes a lot of problems to profile users accurately, such as ambiguity, synonyms, misspelling, low information sharing etc. To solve these problems, this paper proposes to use popular tags to represent the actual topics of tags, the content of items, and also the topic interests of users. A novel user profiling approach is proposed in this paper that first identifies popular tags, then represents users’ original tags using the popular tags, finally generates users’ topic interests based on the popular tags. A collaborative filtering based recommender system has been developed that builds the user profile using the proposed approach. The user profile generated using the proposed approach can represent user interests more accurately and the information sharing among users in the profile is also increased. Consequently the neighborhood of a user, which plays a crucial role in collaborative filtering based recommenders, can be much more accurately determined. The experimental results based on real world data obtained from Amazon.com show that the proposed approach outperforms other approaches.

Interestingness Measures for Multi-Level Association Rules

Association rule mining is one technique that is widely used when querying databases, especially those that are transactional, in order to obtain useful associations or correlations among sets of items. Much work has been done focusing on efficiency, effectiveness and redundancy. There has also been a focusing on the quality of rules from single level datasets with many interestingness measures proposed. However, with multi-level datasets now being common there is a lack of interestingness measures developed for multi-level and cross-level rules. Single level measures do not take into account the hierarchy found in a multi-level dataset. This leaves the Support-Confidence approach,which does not consider the hierarchy anyway and has other drawbacks, as one of the few measures available. In this paper we propose two approaches which measure multi-level association rules to help evaluate their interestingness. These measures of diversity and peculiarity can be used to help identify those rules from multi-level datasets that are potentially useful.

Enabling Open Access to Public Sector Information With Creative Commons Licences : The Australian Experience

This chapter considers how open content licences of copyright-protected materials – specifically, Creative Commons (CC) licences - can be used by governments as a simple and effective mechanism to enable reuse of their PSI, particularly where materials are made available in digital form online or distributed on disk.

Open Access and Public Sector Information : Policy Developments in Australia and Key Jurisdictions

This book chapter considers recent developments in Australia and key jurisdictions both in relation to the formation of a national information strategy and the management of legal rights in public sector information.

Network jamming : distributed performance using generative music

Generative music systems can be performed by manipulating the values of their algorithmic parameters, and their semi-autonomous nature provides an opportunity for coordinated interaction amongst a network of systems, a practice we call Network Jamming. This paper outlines the characteristics of this networked performance practice and discusses the types of mediated musical relationships and ensemble configurations that can arise. We have developed and tested the jam2jam network jamming software over recent years. We describe this system, draw from our experiences with it, and use it to illustrate some characteristics of Network Jamming.