Abstract
In this paper, we describe and exemplify our development of a cyber-tool, the Data Transcription and Analysis tool (DTA tool) that is currently being implemented in the Virtual Center for Language Acquisition through a Virtual Linguistic Lab (VLL). We review this cyber-tool’s design and accomplishments to date, assessing its ability to address. We explicate the architecture and usability of the DTA tool, we summarize its current status, possibilities for expansion, and related challenges we currently confront. We focus on the conceptual and functional structure of this tool here, and not on technical aspects of its programming.
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References
Berners-Lee T (2009). URL http://en.wikipedia.org/wiki/Linked_data, Ted Lecture. Tim Berners-Lee on the next Web
Bickel B, Comrie B, Haspelmath M (2008) Glossing rules: Conventions for interlinear morpheme-by-morpheme glosses. URL http://www.eva.mpg.de/lingua/resources/glossing-rules.php
Blume M, Lust B (2011) Data Transcription and Analysis Tool User’s Manual. With the collaboration of Shamitha Somashekar, and Tina Ogden
Blume M, Yang S, Lust B (in prep) Virtual Linguistics Lab (VLL) Research Methods Manual: Scientific Methods for Study of Language Acquisition. With the collaboration of Tina Ogden, Shamitha Somashekar, Yuchin Chien, Liliana Sánchez, Claire Foley, Marina Kalashnikova, Martha Rayas, Yarden Kedar and Natalia Buitrago
Chiarcos C, Hellmann S, Nordhoff S (this vol.) Introduction and overview. pp 1–12
Farrar S, Langendoen D (2003) A linguistic ontology for the semantic web. GLOT International 7:97–100
Khan H, Caruso B, Lowe B, Corson-Rikert J, Dietrich D, Steinhart G (2011) Datastar: Using the semantic web approach for data curation. International Journal of Digital Curation 2:209–221
Lowe B (2009) Datastar: Bridging XML and OWL in science metadata management. Metadata and Semantics Research 46:141–150, URL http://www.springerlink.com/content/q0825vj78ul38712/
Lust B, Flynn S, Blume M, Westbrooks E, Tobin T (2010) Constructing adequate documentation for multi-faceted cross linguistic language data: A case study from a virtual center for study of language acquisition. In: Language Documentation: Theory, Practice and Values, John Benjamins, Amsterdam/Philadelphia, pp 127–152
Simons G, Lewis W, Farrar S, Langendoen D, Fitzsimons B, Gonzalez H (2004) The semantics of markup. In: Proc. 4th Workshop on NLP and XML (NLPXML-2004), Barcelona, Spain, pp 25–32
Steinhart G (2010) Datastar: A data staging repository to support the sharing and publication of research data. In: 31st Annual IATUL Conference - The Evolving World of e-Science: Impact and Implicationsfor Science and Technology Libraries, West Lafayette, URL http://docs.lib.purdue.edu/iatul2010/conf/day2/8/
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© 2012 Springer-Verlag Berlin Heidelberg
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Blume, M., Flynn, S., Lust, B. (2012). Creating Linked Data for the Interdisciplinary International Collaborative Study of Language Acquisition and Use: Achievements and Challenges of a New Virtual Linguistics Lab. In: Chiarcos, C., Nordhoff, S., Hellmann, S. (eds) Linked Data in Linguistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28249-2_9
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DOI: https://doi.org/10.1007/978-3-642-28249-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28248-5
Online ISBN: 978-3-642-28249-2
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