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ABSTRACT That music seekers consider song subject metadata to be helpful in their searching/browsing experience has been noted in prior published research. In an effort to develop a subject-based tagging system, we explored the creation of automatically generated song subject classifications. Our classifications were derived from two different sources of song-related text: 1) lyrics; and 2) user interpretations of lyrics collected from . While both sources contain subject-related information, we found that user-generated interpretations always outperformed lyrics in terms of classification accuracy. This suggests that user interpretations are more useful in the subject classification task than lyrics because the semantically ambiguous poetic nature of lyrics tends to confuse classifiers. An examination of top-ranked terms and confusion matrices supported our contention that users' interpretations work better for detecting the meaning of songs than what is conveyed through lyrics. [ABSTRACT FROM AUTHOR]

ABSTRACT Art images are characterized by affective properties that are rarely captured by current classification practices. We conducted a study to test three methods for developing affect descriptors for art images. The first method relied on affect tags derived from analysis of an image's subject matter and colors. The second method involved affect tags derived from analysis of a viewer's facial expressions of emotions associated with each image. The third method relied on affect tags assigned to an image by viewers. The strengths, limitations, and potential of each affect tagging method for art images are discussed. [ABSTRACT FROM AUTHOR]

ABSTRACT Infrastructures are not inherently durable or fragile, yet all are fragile over the long term. Durability requires care and maintenance of individual components and the links between them. Astronomy is an ideal domain in which to study knowledge infrastructures, due to its long history, transparency, and accumulation of observational data over a period of centuries. Research reported here draws upon a long-term study of scientific data practices to ask questions about the durability and fragility of infrastructures for data in astronomy. Methods include interviews, ethnography, and document analysis. As astronomy has become a digital science, the community has invested in shared instruments, data standards, digital archives, metadata and discovery services, and other relatively durable infrastructure components. Several features of data practices in astronomy contribute to the fragility of that infrastructure. These include different archiving practices between ground- and space-based missions, between sky surveys and investigator-led projects, and between observational and simulated data. Infrastructure components are tightly coupled, based on international agreements. However, the durability of these infrastructures relies on much invisible work - cataloging, metadata, and other labor conducted by information professionals. Continual investments in care and maintenance of the human and technical components of these infrastructures are necessary for sustainability. [ABSTRACT FROM AUTHOR]

ABSTRACT Scientific software is as important to scientific studies as raw data. Yet, attention to this genre of research data is limited in studies on data reuse, citation, and metadata standards. This paper presents results from an exploratory study that examined how scientific software's reuse information is presented in the current citation practice and natural language descriptions in research papers. We selected LAMMPS, popular simulation software used in material science, for this study. Both descriptive metadata elements and the types of reuse are examined from a sample of 400 research papers. The results indicate that both descriptive metadata elements and reuse types about LAMMPS are presented in incomplete and inconsistent ways, and this interferes with the values of scientific software, as a type of research data. Our findings necessitate future studies on the metadata standards to facilitate the identification of information related with scientific software reuse. [ABSTRACT FROM AUTHOR]

ABSTRACT In this poster we describe the Linked Open Data (LOD) for Digital Special Collections project at the University of Illinois at Urbana-Champaign and describe some of the particular challenges that legacy metadata poses for representation in LOD formats. LOD formats are primarily based on the World Wide Web Consortium's Resource Description Framework standard which demands both that entities be named by opaque universal identifiers whenever possible but also that metadata descriptions for entities be as unambiguous as possible. The challenges for disambiguating those descriptions are illustrated through examples drawn from digital special collections based at four different digital libraries. [ABSTRACT FROM AUTHOR]

ABSTRACT Everyday hundreds of millions of metadata records provide users access to information. To remain functional, metadata schemas changes in response to shifts in information user needs and standards of information representation. This poster presents results of the longitudinal quantitative analysis of change occurring in a select group of library metadata records over time. This study traces the evolution of a sample of OCLC WorldCat metadata records created in MARC format according to new RDA standard of information representation. The same records were obtained at four data collection points at approximately one year intervals. Findings reveal a significant increase in the number of instances of a variety of metadata elements: both those introduced by the RDA standard and traditional pre-RDA elements. This study, along with related research, contributes to the understanding of metadata change and its relation to improvements in metadata quality and information access. [ABSTRACT FROM AUTHOR]

Considering the value of dates in the life cycle of the digital resource, capturing and storing dates metadata in a structured way can have a significant impact on information retrieval. There are a number of format conventions in common use for encoding the date and time values; the Extended Date/Time Format (EDTF) is one of the most expressive. This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from one of the largest digital aggregators, Digital Public Library of America (DPLA), and compares it to EDTF specifications. This benchmark study provides empirical data - at both the individual provider level and the group level (content hubs or service hubs) - about the overall level and patterns of application of date metadata in DPLA metadata records in relation to EDTF. [ABSTRACT FROM AUTHOR]

The macroeconomic data domain is complex, and the plethora of metadata practices and standards makes using and harmonizing datasets more difficult for researchers. This poster explains the impetus behind and the progress made in the first year of a cooperative project to improve and streamline metadata for economic time series data. [ABSTRACT FROM AUTHOR]

Within data repositories and archives, evaluation guidelines and criteria used to appraise and select an object for ingest can have crucial impact on the subsequent curation workflow. The decisions made during the appraisal and selection process can greatly affect the compatibility, effectiveness, and cohesiveness of the data and resources that are made available by repositories and archives. This poster presents the motivations and objectives for creating the Research Data Archive Dataset Appraisal and Selection System at the National Center for Atmospheric Research. An overview of the analysis process that was used to determine the system implementation requirements will also be provided. Additionally, features and capabilities of the current system will be presented along with the summary of the functions that are under consideration for the next phase of implementation. The poster concludes with the discussion on the benefits of such a system to any repository or archive that aims to provide data stewardship for longevity. [ABSTRACT FROM AUTHOR]

The preservation of ergodic digital artifacts, such as videogames, is a complex and uncertain archival task. This study examines how fan fiction metadata can facilitate the preservation of digital experiences. Based on a preliminary assessment of fan fiction associated with the videogame Mass Effect, collections of fan fiction metadata constitute a promising resource to identify and document player experiences, particularly those involving game characters and their relationships. [ABSTRACT FROM AUTHOR]

Heterogeneous graph based information recommendation have been proved useful in recent studies. Given a heterogeneous graph scheme, there are many possible meta paths between the query node and the result node, and each meta path addresses a hypothesis-based ranking function. In prior researches, meta paths are manually selected by domain experts. However, when the graph scheme becomes complex, this method can be inefficient. In this study, we propose feature generation tree, a novel feature selection method for heterogeneous graph mining based recommendation algorithms, which adds graph structure information into the original "feature selection for ranking" algorithm and saves a fair amount of time for feature computation. In our preliminary experiment, the proposed method outperforms the original "feature selection for ranking" algorithm in both efficiency and effectiveness. [ABSTRACT FROM AUTHOR]

Linked data presents numerous implementation challenges in cultural heritage institutions. The Digital Public Library of America (DPLA) has emerged as a resource for cultural heritage institutions to contribute metadata records for their digital assets to a national aggregation platform, one that is actively being developed to express contributed metadata as linked data. At present, there is a dearth of literature on the DPLA, and especially on its hubs. This poster aims to fill that gap by documenting the formation of the Missouri Hub, the DPLA Service Hub for Missouri, as a model for institutions with similar collective goals of exposing and enriching their data through the DPLA. Using Rogers's (2003) Diffusion of innovations theory, we apply a postimplementation descriptive application of Rogers's model for the innovation process in an organization to the formation of the Missouri Hub. The five steps to implementation are presented, including the initiation and decision process. This poster presents and analyzes one approach to adopting and implementing the DPLA, an innovation supporting cultural heritage institutions and their goals of exposing and enriching their data. By working collaboratively, the institutions were able to achieve a goal that they could not attain individually. [ABSTRACT FROM AUTHOR]