Superimposed Information Architecture for Digital Libraries

Archer, David W.; Delcambre, Lois; Corubolo, Fabio; Cassel, Lillian N.; Price, Susan; Murthy, Uma; Maier, David; Fox, Edward A.; Murthy, Sudarshan; McCall, John; Kuchibhotla, Kiran; Suryavanshi, Rahul

doi:10.1007/978-3-540-87599-4_10

Cited by 9 publications

(6 citation statements)

References 15 publications

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“…However, most of these systems do not combine the capabilities to work with textand content-based description and retrieval of parts of images. With regard to integrating subdocuments with digital libraries, we developed an architecture for representing SI in DSpace 8 [17]. The focus of that work was mainly on text documents, with limited support for images.…”

Section: Related Workmentioning

confidence: 99%

Superimposed Image Description and Retrieval for Fish Species Identification

Murthy

Fox

Chen

et al. 2009

Research and Advanced Technology for Digital Libraries

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Fish species identification is critical to the study of fish ecology and management of fisheries. Traditionally, dichotomous keys are used for fish identification. The keys consist of questions about the observed specimen. Answers to these questions lead to more questions till the reader identifies the specimen. However, such keys are incapable of adapting or changing to meet different fish identification approaches, and often do not focus upon distinguishing characteristics favored by many field ecologists and more user-friendly field guides. This makes learning to identify fish difficult for Ichthyology students. Students usually supplement the use of the key with other methods such as making personal notes, drawings, annotated fish images, and more recently, fish information websites, such as Fishbase. Although these approaches provide useful additional content, it is dispersed across heterogeneous sources and can be tedious to access. Also, most of the existing electronic tools have limited support to manage user created content, especially that related to parts of images such as markings on drawings and images and associated notes. We present SuperIDR, a superimposed image description and retrieval tool, developed to address some of these issues. It allows users to associate parts of images with text annotations. Later, they can retrieve images, parts of images, annotations, and image descriptions through text-and content-based image retrieval. We evaluated SuperIDR in an undergraduate Ichthyology class as an aid to fish species identification and found that the use of SuperIDR yielded a higher likelihood of success in species identification than using traditional methods, including the dichotomous key, fish web sites, notes, etc.

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Section: Related Workmentioning

confidence: 99%

Superimposed Image Description and Retrieval for Fish Species Identification

Murthy

Fox

Chen

et al. 2009

Research and Advanced Technology for Digital Libraries

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“…An annotation service addressing parts of documents managed by a digital library system through the concept of marks is presented by Archer et al [5]. Annotations can be stored either together with the document or in an external repository.…”

Section: Existing Annotation and Link Servicesmentioning

confidence: 99%

A model and architecture for open cross-media annotation and link services

Signer

Norrie

2011

Information Systems

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“…This allows for re-attachment of the annotation to text or locations within a document using a generalized document model. This research has been extended by Corubolo and colleagues [8] to cross formats and locations, and re-used in subsequent work in the context of DL architectures [3]. Although recent versions of the software have an RDF serialization for the annotation model, it would be difficult to describe the approach as web-centric.…”

Section: Previous Workmentioning

confidence: 99%

“…Strings are not web resources; they of course do not have a URI. However, there are many services that will happily assign URIs to strings for free, such as Twitter 3 , various blog platforms or Google Docs 4 . Henceforth we treat Content nodes as resources on the web with their own URIs, even if they did not start their existence with one.…”

Section: Open Annotation Data Modelmentioning

confidence: 99%

Making web annotations persistent over time

Sanderson

Sompel

2010

Proceedings of the 10th Annual Joint Conference on Digital Libraries

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As Digital Libraries (DL) become more aligned with the web architecture, their functional components need to be fundamentally rethought in terms of URIs and HTTP. Annotation, a core scholarly activity enabled by many DL solutions, exhibits a clearly unacceptable characteristic when existing models are applied to the web: due to the representations of web resources changing over time, an annotation made about a web resource today may no longer be relevant to the representation that is served from that same resource tomorrow.We assume the existence of archived versions of resources, and combine the temporal features of the emerging Open Annotation data model with the capability offered by the Memento framework that allows seamless navigation from the URI of a resource to archived versions of that resource, and arrive at a solution that provides guarantees regarding the persistence of web annotations over time. More specifically, we provide theoretical solutions and proof-of-concept experimental evaluations for two problems: reconstructing an existing annotation so that the correct archived version is displayed for all resources involved in the annotation, and retrieving all annotations that involve a given archived version of a web resource.

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Superimposed Information Architecture for Digital Libraries

Cited by 9 publications

References 15 publications

Superimposed Image Description and Retrieval for Fish Species Identification

Superimposed Image Description and Retrieval for Fish Species Identification

A model and architecture for open cross-media annotation and link services

Making web annotations persistent over time

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