Search (16 results, page 1 of 1)

  • × author_ss:"Greenberg, J."
  1. Greenberg, J.; Murillo, A.; Ogletree, A.; Boyles, R.; Martin, N.; Romeo, C.: Metadata capital : automating metadata workflows in the NIEHS viral vector core laboratory (2014) 0.02 
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    Abstract
    This paper presents research examining metadata capital in the context of the Viral Vector Core Laboratory at the National Institute of Environmental Health Sciences (NIEHS). Methods include collaborative workflow modeling and a metadata analysis. Models of the laboratory's workflow and metadata activity are generated to identify potential opportunities for defining microservices that may be supported by iRODS rules. Generic iRODS rules are also shared along with images of the iRODS prototype. The discussion includes an exploration of a modified capital sigma equation to understand metadata as an asset. The work aims to raise awareness of metadata as an asset and to incentivize investment in metadata R&D.
    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  2. Greenberg, J.; Mayer-Patel, K.; Trujillo, S.: YouTube: applying FRBR and exploring the multiple description coding compression model (2012) 0.02 
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    Abstract
    Nearly everyone who has searched YouTube for a favorite show, movie, news cast, or other known item, has retrieved multiple videos clips (or segments) that appear to duplicate, overlap, and relate. The work presented in this paper considers this challenge and reports on a study examining the applicability of the Functional Requirements for Bibliographic Records (FRBR) for relating varying renderings of YouTube videos. The paper also introduces the Multiple Description Coding Compression (MDC2) to extend FRBR and address YouTube preservation/storage challenges. The study sample included 20 video segments from YouTube; 10 connected with the event, Small Step for Man (US Astronaut Neil Armstrong's first step on the moon), and 10 with the 1966 classic movie, "Batman: The Movie." The FRBR analysis used a qualitative content analysis, and the MDC2 exploration was pursued via high-level approach of protocol modeling. Results indicate that FRBR is applicable to YouTube, although the analyses required a localization of the Work, Expression, Manifestation, and Item (WEMI) FRBR elements. The MDC2 exploration illustrates an approach for exploring FRBR in the context of other models, and identifies a potential means for addressing YouTube-related preservation/storage challenges.
    Date
    29. 5.2015 10:53:13
  3. White, H.; Willis, C.; Greenberg, J.: HIVEing : the effect of a semantic web technology on inter-indexer consistency (2014) 0.02 
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    Abstract
    Purpose - The purpose of this paper is to examine the effect of the Helping Interdisciplinary Vocabulary Engineering (HIVE) system on the inter-indexer consistency of information professionals when assigning keywords to a scientific abstract. This study examined first, the inter-indexer consistency of potential HIVE users; second, the impact HIVE had on consistency; and third, challenges associated with using HIVE. Design/methodology/approach - A within-subjects quasi-experimental research design was used for this study. Data were collected using a task-scenario based questionnaire. Analysis was performed on consistency results using Hooper's and Rolling's inter-indexer consistency measures. A series of t-tests was used to judge the significance between consistency measure results. Findings - Results suggest that HIVE improves inter-indexing consistency. Working with HIVE increased consistency rates by 22 percent (Rolling's) and 25 percent (Hooper's) when selecting relevant terms from all vocabularies. A statistically significant difference exists between the assignment of free-text keywords and machine-aided keywords. Issues with homographs, disambiguation, vocabulary choice, and document structure were all identified as potential challenges. Research limitations/implications - Research limitations for this study can be found in the small number of vocabularies used for the study. Future research will include implementing HIVE into the Dryad Repository and studying its application in a repository system. Originality/value - This paper showcases several features used in HIVE system. By using traditional consistency measures to evaluate a semantic web technology, this paper emphasizes the link between traditional indexing and next generation machine-aided indexing (MAI) tools.
  4. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.02 
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    Abstract
    The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.
  5. Greenberg, J.; Zhao, X.; Monselise, M.; Grabus, S.; Boone, J.: Knowledge organization systems : a network for AI with helping interdisciplinary vocabulary engineering (2021) 0.01 
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    Abstract
    Knowledge Organization Systems (KOS) as networks of knowledge have the potential to inform AI operations. This paper explores natural language processing and machine learning in the context of KOS and Helping Interdisciplinary Vocabulary Engineering (HIVE) technology. The paper presents three use cases: HIVE and Historical Knowledge Networks, HIVE for Materials Science (HIVE-4-MAT), and Using HIVE to Enhance and Explore Medical Ontologies. The background section reviews AI foundations, while the use cases provide a frame of reference for discussing current progress and implications of connecting KOS to AI in digital resource collections.
  6. Shoffner, M.; Greenberg, J.; Kramer-Duffield, J.; Woodbury, D.: Web 2.0 semantic systems : collaborative learning in science (2008) 0.01 
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    Abstract
    The basic goal of education within a discipline is to transform a novice into an expert. This entails moving the novice toward the "semantic space" that the expert inhabits-the space of concepts, meanings, vocabularies, and other intellectual constructs that comprise the discipline. Metadata is significant to this goal in digitally mediated education environments. Encoding the experts' semantic space not only enables the sharing of semantics among discipline scientists, but also creates an environment that bridges the semantic gap between the common vocabulary of the novice and the granular descriptive language of the seasoned scientist (Greenberg, et al, 2005). Developments underlying the Semantic Web, where vocabularies are formalized in the Web Ontology Language (OWL), and Web 2.0 approaches of user-generated folksonomies provide an infrastructure for linking vocabulary systems and promoting group learning via metadata literacy. Group learning is a pedagogical approach to teaching that harnesses the phenomenon of "collective intelligence" to increase learning by means of collaboration. Learning a new semantic system can be daunting for a novice, and yet it is integral to advance one's knowledge in a discipline and retain interest. These ideas are key to the "BOT 2.0: Botany through Web 2.0, the Memex and Social Learning" project (Bot 2.0).72 Bot 2.0 is a collaboration involving the North Carolina Botanical Garden, the UNC SILS Metadata Research center, and the Renaissance Computing Institute (RENCI). Bot 2.0 presents a curriculum utilizing a memex as a way for students to link and share digital information, working asynchronously in an environment beyond the traditional classroom. Our conception of a memex is not a centralized black box but rather a flexible, distributed framework that uses the most salient and easiest-to-use collaborative platforms (e.g., Facebook, Flickr, wiki and blog technology) for personal information management. By meeting students "where they live" digitally, we hope to attract students to the study of botanical science. A key aspect is to teach students scientific terminology and about the value of metadata, an inherent function in several of the technologies and in the instructional approach we are utilizing. This poster will report on a study examining the value of both folksonomies and taxonomies for post-secondary college students learning plant identification. Our data is drawn from a curriculum involving a virtual independent learning portion and a "BotCamp" weekend at UNC, where students work with digital plan specimens that they have captured. Results provide some insight into the importance of collaboration and shared vocabulary for gaining confidence and for student progression from novice to expert in botany.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  7. Greenberg, J.: Theoretical considerations of lifecycle modeling : an analysis of the Dryad Repository demonstrating automatic metadata propagation, inheritance, and value system adoption (2009) 0.01 
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    Abstract
    The Dryad repository is for data supporting published research in the field of evolutionary biology and related disciplines. Dryad development team members seek a theoretical framework to aid communication about metadata issues and plans. This article explores lifecycle modeling as a theoretical framework for understanding metadata in the repostiroy enivornment. A background discussion reviews the importance of theory, the status of a metadata theory, and lifecycle concepts. An analysis draws examples from the Dryad repository demonstrating automatic propagation, metadata inheritance, and value system adoption, and reports results from a faceted term mapping experiment that included 12 vocabularies and approximately 600 terms. The article also reports selected key findings from a recent survey on the data-sharing attitudes and behaviors of nearly 400 evolutionary biologists. Te results confirm the applicability of lifecycle modeling to Dryad's metadata infrastructure. The article concludes that lifecycle modeling provides a theoretical framework that can enhance our understanding of metadata, aid communication about the topic of metadata in the repository environment, and potentially help sustain robust repository development.
  8. Greenberg, J.: Subject control of ephemera : MARC format options (1996) 0.01 
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    Abstract
    Provides an overview of the MARC format and the structure of the bibliographic MARC record. Discusses the MARC-AMC and MARC-VM formats as options for controlling ephemera, lists popular controlled vocabulary tools for subject control over ephemera material and examines subject analysis methodologies. Considers the specific MARC field options for the subject control of ephemera and provides 3 worked examples. Concludes that, while it can be argued that the MARC format does not provide an ideal control system for ephemera, it does offer an excellent means of controlling ephemera in the online environment and permits ephemera to be intellectually linked with related materials of all formats
  9. Greenberg, J.: User comprehension and application of information retrieval thesauri (2004) 0.01 
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    Abstract
    While information retrieval thesauri may improve search results, there is little research documenting whether general information system users employ these vocabulary tools. This article explores user comprehension and searching with thesauri. Data was gathered as part of a larger empirical query-expansion study involving the ProQuest Controlled Vocabulary. The results suggest that users' knowledge of thesauri is extremely limited. After receiving a basic thesaurus introduction, however, users indicate a desire to employ these tools. The most significant result was that users expressed a preference for thesauri employment through interactive processing or a combination of automatic and interactive processing, compared to exclusively automatic processing. This article defines information retrieval thesauri, summarizes research results, considers circumstances underlying users' knowledge and searching with thesauri, and highlights future research needs.
  10. Greenberg, J.: Metadata generation : processes, people and tools (2003) 0.00 
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    Source
    Bulletin of the American Society for Information Science. 29(2003) no.2, S.16-19
  11. Greenberg, J.: ¬A quantitative categorical analysis of metadata elements in image-applicable metadata schemes (2001) 0.00 
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    Date
    29. 9.2001 18:42:27
  12. White, H.C.; Carrier, S.; Thompson, A.; Greenberg, J.; Scherle, R.: ¬The Dryad Data Repository : a Singapore framework metadata architecture in a DSpace environment (2008) 0.00 
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    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  13. Greenberg, J.: Optimal query expansion (QE) processing methods with semantically encoded structured thesaurus terminology (2001) 0.00 
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    Date
    29. 9.2001 14:00:11
  14. Greenberg, J.: Understanding metadata and metadata scheme (2005) 0.00 
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    Date
    29. 9.2008 19:11:00
  15. Greenberg, J.: Automatic query expansion via lexical-semantic relationships (2001) 0.00 
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