Multivalent Annotations

Phelps, Thomas A.; Wilensky, Robert L.

doi:10.1007/bfb0026734

Cited by 42 publications

(12 citation statements)

References 9 publications

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“…In particular, a tablet PC's support of digital ink provides a natural mechanism for users to simply draw their annotations on top of the visual display [1]. CAV uses a model similar to the Multivalent Document [12] by storing data and annotations as separate layers. By stacking annotations on top of layers users never change the underlying data, but add annotations on top of that data.…”

Section: Figure 1: Visual Data Represented On Paper [5]mentioning

confidence: 99%

A collaborative annotation system for data visualization

Ellis

Groth

2004

Proceedings of the Working Conference on Advanced Visual Interfaces

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We present Collaborative Annotations on Visualizations (CAV), a system for annotating visual data in remote and collocated environments. Our system consists of a network framework, and a client application built for tablet PC's. CAV is designed to support the collection and sharing of annotations, through the use of mobile devices connected to visualization servers. We have developed a working system prototype based on tablet PC's that supports digital ink, voice and text annotation, and illustrates our approach in a variety of application domains, including biology, chemistry, and telemedicine. We have created an XML based open standard that supports access to a variety of client devices by publishing visualizations (data and annotations) as streams of images. CAV's primary goal is to enhance scientific discovery by supporting collaboration in the context of data visualizations.

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Section: Figure 1: Visual Data Represented On Paper [5]mentioning

confidence: 99%

A collaborative annotation system for data visualization

Ellis

Groth

2004

Proceedings of the Working Conference on Advanced Visual Interfaces

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“…This includes the multivalent document approach [25], the SLIMPad approach [6], the Annotea project [18] as well as some commercial systems (see, e.g., [11,16] for an overview). While none of these approaches supports a query framework for annotations, only [6] support the notion of concept like structures underlying annotations.…”

Section: Related Workmentioning

confidence: 99%

Integrating Scientific Data through External, Concept-Based Annotations

Gertz

Sattler

2003

Efficiency and Effectiveness of XML Tools and Techniques and Data Integration Over the Web

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In several scientific application domains, such as the computational sciences, the transparent and integrated access to distributed and heterogeneous data sources is key to leveraging the knowledge and findings of researchers. Standard database integration approaches, however, are either not applicable or insufficient because of lack of local and global schema structures. In these application domains, data integration often occurs manually in that researchers collect data and categorize them using "semantic indexing", in the most simple case through local bookmarking, which leaves them without appropriate data query, sharing, and management mechanisms.In this paper, we present a data integration technique suitable for such application domains. This technique is based on the notion of controlled data annotations, resembling the idea of associating semantic rich metadata with diverse types of data, including images and text-based documents. Using concept like structures defined by scientists, data annotations allows scientists to link such Web-accessible data at different levels of granularity to concepts. Annotated data describing instances of such concepts then provides for sophisticated query schemes that researchers can employ to query the distributed data in an integrated and transparent fashion. We present our data annotation framework in the context of the Neurosciences where researchers employ concepts and annotations to integrate and query diverse types of data managed and distributed among individual research groups.

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“…The original article to which this Erratum refers, Robert Wilensky “Digital library resources as a basis for collaborative work”, was published in Journal of the American Society for Information Science 51(3) 2000, 228–245. In addition to the articles cited in this work, please note that some of the concepts in Wilensky's article are also considered in “Multivalent Annotations” by Phelps, T.A., & Wilensky, R., and published in Proceedings of First European Conference on Research and Advanced Technology for Digital Libraries , Pisa, Italy, 1997. For readers who are interested in pursuing the subject further, more information can also be found in “Robust Intra‐Document Locations” also by Phelps, T.A., & Wilensky, R., and published in Proceedings of the 9th International World Wide Web Conference , Amsterdam, May 15–19, 2000.…”

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confidence: 99%

Erratum re: “Digital library resources as a basis for collaborative work” JASIST 51(3) 2000, 228–245

2008

J. Am. Soc. Inf. Sci.

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Multivalent Annotations

Cited by 42 publications

References 9 publications

A collaborative annotation system for data visualization

A collaborative annotation system for data visualization

Integrating Scientific Data through External, Concept-Based Annotations

Erratum re: “Digital library resources as a basis for collaborative work” JASIST 51(3) 2000, 228–245

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