J. Stephen Downie

Bio: J. Stephen Downie is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Music information retrieval & Digital library. The author has an hindex of 30, co-authored 164 publications receiving 4135 citations. Previous affiliations of J. Stephen Downie include University of Western Ontario & National Center for Supercomputing Applications.

Remix and reuse of source code in software production

Abstract: The means of producing information and the infrastructure for disseminating it are constantly changing. The web mobilizes information in electronic formats, making it easier to copy, modify, remix, and redistribute. This has changed how information is produced, distributed, and used. People are not just consuming information; they are actively producing, remixing, and sharing information, using the web as a platform for creativity and production. This is true of software development as well. It is frequently commented by programmers and researchers who study software development, that programmers frequently copy and paste code. Although this practice is widely acknowledged, it is rarely studied directly, or explicitly accounted for in models of software development. However, this attitude is changing as software becomes more ubiquitous, and software development practice shifts away from the formal models of software engineering, towards a post-modernist perspective. This study explores how source code snippets in programming books and on the web are changing software development practice. By examining program source code using clone detection algorithms, this study provides a comprehensive view of code copying across 6,190 PHP-language applications. These data are used to explore the concept of a “remix” method of software production, where software and systems are built out of copied and pasted snippets of code. These findings are contrasted against both traditional models of information production coming from informetrics (e.g., authorship, citation analysis), and models from software engineering (e.g., the Lego Hypothesis). Explanations for observed phenomena are discussed borrowing metaphors from linguistics, which provide a richer explanation of copy-paste programming than offered by the Lego Hypothesis. The focus and findings of this study ultimately point to a pressing demand for further research centered on the notion of software as information. Software and software repositories hold a large amount of information about how it was produced, and how it is used, adapted, and maintained. Software informatics is proposed as an organizing label to study the science of information, practice, and communication around software. It studies the individual, collaborative, and social aspects of software production and use, spanning multiple representations of software from design, to source code, to application.

Analysis of queries to a Wizard-of-Oz MIR system: Challenging assumptions about what people really want.

Abstract: How do users of music information retrieval (MIR) systems express their needs? Using a Wizard of Oz approach to system evaluation, combined with a grounded theory analysis of 502 real-world music queries posted to Google Answers, this paper addresses this pivotal question.

Workshop on the creation of standardized test collections, tasks and metrics for music information retrieval (MIR) and music digital library (MDL) evaluation

Abstract: This workshop is designed to engage the participation of all those interested in MIR and MDL research and evaluation. Interested parties have been encouraged to submit formal "White Papers" outlining their individual perspectives on what needs to be done to create meaningful MIR and MDL test collections, retrieval tasks and evaluation metrics. Interested parties include musicologists, music theorists, audio-retrieval experts, symbolic-retrieval experts, librarians, lawyers, and business representatives. The compilation of these perspectives and the discussion that follows at the workshop are intended to form the bedrock upon which a solid foundation of future research can be built.

Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification

Abstract: With the rapid growth of research publications, there is a vast amount of scholarly knowledge that needs to be organized in digital libraries. To deal with this challenge, techniques relying on knowledge-graph structures are being advocated. Within such graph-based pipelines, inferring relation types between related scientific concepts is a crucial step. Recently, advanced techniques relying on language models pre-trained on large corpora have been popularly explored for automatic relation classification. Despite the remarkable contributions that have been made, many of these methods were evaluated under different scenarios, which limits their comparability. To address this shortcoming, we present a thorough empirical evaluation of eight Bert-based classification models by focusing on two key factors: 1) Bert model variants, and 2) classification strategies. Experiments on three corpora show that domain-specific pre-training corpus benefits the Bert-based classification model to identify the type of scientific relations. Although the strategy of predicting a single relation each time achieves a higher classification accuracy than the strategy of identifying multiple relation types simultaneously in general, the latter strategy demonstrates a more consistent performance in the corpus with either a large or small number of annotations. Our study aims to offer recommendations to the stakeholders of digital libraries for selecting the appropriate technique to build knowledge-graph-based systems for enhanced scholarly information organization.

Content-based multimedia information retrieval: State of the art and challenges

Abstract: Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100p recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.

Looking for Information: A Survey of Research on Information Seeking, Needs and Behavior

Abstract: Abbreviated Contents Figures and Tables Preface Introduction and Examples Concepts Relevant to Information Behavior Models, Paradigms, and Theories in the Study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections Appendix: Glossary Appendix: Questions for Discussion and Application References Index

Invisible colleges : diffusion of knowledge in scientific communities

Abstract: No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.

Sweet Anticipation: Music and the Psychology of Expectation

Abstract: A theory of expectations is used to explain how music evokes various emotions for readers interested in cognitive science and evolutionary psychology as well as music. The psychological theory of expectation that David Huron proposes in "Sweet Anticipation" grew out of experimental efforts to understand how music evokes emotions. These efforts evolved into a general theory of expectation that will prove informative to readers interested in cognitive science and evolutionary psychology as well as those interested in music. The book describes a set of psychological mechanisms and illustrates how these mechanisms work in the case of music. All examples of notated music can be heard on the Web. Huron proposes that emotions evoked by expectation involve five functionally distinct response systems: reactive responses (which engage defensive reflexes); tension responses (where uncertainty leads to stress); predictive responses (which reward accurate prediction); imaginative responses (which facilitate deferred gratification); and appraisal responses (which occur after conscious thought is engaged). For real-world events, these five response systems typically produce a complex mixture of feelings. The book identifies some of the aesthetic possibilities afforded by expectation, and shows how common musical devices (such as syncopation, cadence, meter, tonality, and climax) exploit the psychological opportunities. The theory also provides new insights into the physiological psychology of awe, laughter, and "spine-tingling chills." Huron traces the psychology of expectations from the patterns of the physical/cultural world through imperfectly learned heuristics used to predict that world to the phenomenal qualia experienced by those who apprehend the world.