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.

Exploring J-DISC: Some Preliminary Analyses

Abstract: J-DISC, a specialized digital library for information about jazz recording sessions that includes rich structured and searchable metadata, has the potential for supporting a wide range of studies on jazz, especially the musicological work of those interested in the social network aspects of jazz creation and production. This paper provides an overview of the entire J-DISC dataset. It also presents some exemplar analyses across this dataset to better illustrate the kinds of uses that musicologists could make of this collection. Our illustrative analyses include both informetric and network analyses of the entire J-DISC data which comprises data on 2,711 unique recording sessions associated with 3,744 distinct artists including such influential jazz figures as Dizzy Gillespie, Don Byas, Charlie Parker, John Coltrane and Kenny Dorham, etc. Our analyses also show that around 60% of the recording sessions included in J-DISC were recorded in New York City, Englewood Cliffs (NJ), Los Angeles (CA) and Paris during the year of 1923 to 2011. Furthermore, our analyses of the J-DISC data show the top venues captured in the J-DISC data include Rudy Van Gelder Studio, Birdland and Reeves Sound Studios. The potential research uses of the J-DISC data in both the DL (Digital Libraries) and MIR (Music Information Retrieval) domains are also briefly discussed.

Dynamic classification explorer for music digital libraries

Abstract: This paper outlines a dynamic classification explorer for music digital library users and researchers. System provides multiple simultaneous classification visualizations and synchronized audio.

Capisco: low-cost concept-based access to digital libraries

Abstract: In this article, we present the conceptual design and report on the implementation of Capisco—a low-cost approach to concept-based access to digital libraries. Capisco avoids the need for complete semantic document markup using ontologies by leveraging an automatically generated Concept-in-Context (CiC) network. The network is seeded by a priori analysis of Wikipedia texts and identification of semantic metadata. Our Capisco system disambiguates the semantics of terms in the documents by their semantics and context and identifies the relevant CiC concepts. Supplementary to this, the disambiguation of search queries is done interactively, to fully utilize the domain knowledge of the scholar. For established digital library systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing, and query interface) would require major technological effort and would most likely be disruptive. In addition to presenting Capisco, we describe ways to harness the results of our developed semantic analysis and disambiguation, while retaining the existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications.

Providing Pin-point Page-level Precision to 1 Trillion Tokens of Text for Workset Creation

Abstract: We report on the work undertaken developing a web environment that allows users to search over 1 trillion tokens of text -- down to the page-level -- of the HathiTrust Part-of-Speech Extracted Features Dataset to help produce worksets for scholarly analysis. We present an extended example of the web environment in use, along with details about its implementation.

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.