19 Result(s)
within
Computer Science
Information Storage and Retrieval
Jane Hunter
Conference Paper
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Chapter and Conference Paper
An Indexing, Browsing, Search and Retrieval System for Audiovisual Libraries
This paper describes an application which enables the computerassisted generation of Dublin Core-based metadata descriptions and online digital visual summaries for videos. It is a Java application which integ...
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Chapter and Conference Paper
The Application of an Event-Aware Metadata Model to an Online Oral History Archive
In this paper we test the ABC event-aware metadata model, developed within the Harmony project, by applying it to a complex multimedia oral history archive. Based on a metadata schema, generated using the ABC ...
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Chapter and Conference Paper
An Event-Aware Model for Metadata Interoperability
We describe the ABC modeling work of the Harmony Project. The ABC model provides a foundation for understanding interoperability of individual metadata modules — as described in the Warwick Framework — and for...
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Chapter and Conference Paper
Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL
This paper proposes an approach to the problem of generating metadata for composite mixed-media digital objects by appropriately combining and exploiting existing knowledge or metadata associated with the indi...
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Chapter and Conference Paper
Implementing Preservation Strategies for Complex Multimedia Objects
Addressing the preservation and long-term access issues for digital resources is one of the key challenges facing informational organisations such as libraries, archives, cultural institutions and government a...
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Chapter and Conference Paper
Does eScience Need Digital Libraries?
eScience has emerged as an important framework for dramatically rethinking the conduct of scientific research using information technology. There is an unparalleled opportunity for the international eScience a...
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Chapter and Conference Paper
Implementing a Secure Annotation Service
Annotation systems enable “value-adding” to digital resources by the attachment of additional data in the form of comments, explanations, references, reviews and other types of external, subjective remarks. Th...
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Chapter and Conference Paper
Provenance Explorer – Customized Provenance Views Using Semantic Inferencing
This paper presents Provenance Explorer, a secure provenance visualization tool, designed to dynamically generate customized views of scientific data provenance that depend on the viewer’s requirements and/or acc...
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Chapter and Conference Paper
VIRGIL – Providing Institutional Access to a Repository of Access Grid Sessions
This paper describes the VIRGIL (Virtual Meeting Archival) system which was developed to provide a simple, practical, easy-to-use method for recording, indexing and archiving large scale distributed videoconfe...
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Chapter and Conference Paper
Annotating Relationships Between Multiple Mixed-Media Digital Objects by Extending Annotea
Annotea provides an annotation protocol to support collaborative Semantic Web-based annotation of digital resources accessible through the Web. It provides a model whereby a user may attach supplementary infor...
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Chapter and Conference Paper
PODD: An Ontology-Driven Data Repository for Collaborative Phenomics Research
Phenomics, the systematic study of phenotypes, is an emerging field of research in biology. It complements genomics, the study of genotypes, and is becoming an increasingly critical tool to understand phenomen...
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Chapter and Conference Paper
A Collaborative Scholarly Annotation System for Dynamic Web Documents – A Literary Case Study
This paper describes ongoing work within the Aus-e-Lit project at the University of Queensland to provide collaborative annotation tools for Australian Literary Scholars. It describes our implementation of an ...
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Chapter and Conference Paper
High Speed Capture, Retrieval and Rendering of Segment-Based Annotations on 3D Museum Objects
The aim of the 3D Semantic Annotation (3DSA) system is to deliver a Web-based semantic tagging and annotation service for 3D cultural heritage objects - that enables users to attach semantic tags/annotations t...
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Chapter and Conference Paper
Using Semantic Web Technologies to Build a Community-Driven Knowledge Curation Platform for the Skeletal Dysplasia Domain
In this paper we report on our on-going efforts in building SKELETOME – a community-driven knowledge curation platform for the skeletal dysplasia domain. SKELETOME introduces an ontology-driven knowledge engin...
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Chapter and Conference Paper
Experiences with Modeling Composite Phenotypes in the SKELETOME Project
Semantic annotation of patient data in the skeletal dysplasia domain (e.g., clinical summaries) is a challenging process due to the structural and lexical differences existing between the terms used to describ...
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Chapter and Conference Paper
Semantic Similarity-Driven Decision Support in the Skeletal Dysplasia Domain
Biomedical ontologies have become a mainstream topic in medical research. They represent important sources of evolved knowledge that may be automatically integrated in decision support methods. Grounding clini...
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Chapter and Conference Paper
Reasoning on Crowd-Sourced Semantic Annotations to Facilitate Cataloguing of 3D Artefacts in the Cultural Heritage Domain
The 3D Semantic Annotation (3DSA) system expedites the classification of 3D digital surrogates from the cultural heritage domain, by leveraging crowd-sourced semantic annotations. More specifically, the 3DSA s...
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Chapter and Conference Paper
Load Balancing for Imbalanced Data Sets: Classifying Scientific Artefacts for Evidence Based Medicine
Data skewness is a challenge encountered, in particular, when applying supervised machine learning approaches in various domains, such as in healthcare and biomedical information engineering. Evidence Based Me...
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Chapter and Conference Paper
Formal Acknowledgement of Citizen Scientists’ Contributions via Dynamic Data Citations
Data citation provides a valuable method for rewarding citizen scientists by formally acknowledging the contributions that they make to valuable scientific datasets. The difficulty is that citizen science data...
