Linking with Meaning: Ontological Hypertext for Scholars

The links in ontological hypermedia are defined according to the relationships between real-world objects. An ontology that models the significant objects in a scholar’s world can be used toward producing a consistently interlinked research literature. Currently the papers that are available online are mainly divided between subject- and publisher-specific archives, with little or no interoperability. This paper addresses the issue of ontological interlinking, presenting two experimental systems whose hypertext links embody ontologies based on the activities of researchers and scholars

LORE: A Compound Object Authoring and Publishing Tool for Literary Scholars based on the FRBR

4th International Conference on Open RepositoriesThis presentation was part of the session : Conference PresentationsDate: 2009-06-04 10:30 AM – 12:00 PMThis paper presents LORE (Literature Object Re-use and Exchange), a light-weight tool designed to enable scholars and teachers of literature to author, edit and publish OAI-ORE-compliant compound information objects that encapsulate related digital resources and bibliographic records. LORE provides a graphical user interface for creating, labelling and visualizing typed relationships between individual objects using terms from a bibliographic ontology based on the IFLA FRBR. After creating a compound object, users can attach metadata and publish it to a Fedora repository (as an RDF graph) where it can be searched, retrieved, edited and re-used by others. LORE has been developed in the context of the Australian Literature Resource project (AustLit) and hence focuses on compound objects for teaching and research within the Australian literature studies community.NCRIS National eResearch Architecture Taskforce (NeAT

Visions of a Semantic Molecular Future

Booklet handout distributed at the VSMF Symposium held at the Unilever Centre on 2011-01-17The event looks forward. Scholarship (universities, research, teaching, publishing) has been slow to take up the opportunities of this digital century. This is an opportunity to identify and build the future.EPSRC (Pathways to Impact Award). Unilever plc (Unilever Centre for Molecular Science Informatics

Digitometric Services for Open Archives Environments

We describe “digitometric” services and tools that add value to open-access eprint archives using the Open Archives Initiative (OAI) Protocol for Metadata Harvesting. Celestial is an OAI cache and gateway tool. Citebase Search enhances OAI-harvested metadata with linked references harvested from the full-text to provide a web service for citation navigation and research impact analysis. Digitometrics builds on data harvested using OAI to provide advanced visualisation and hypertext navigation for the research community. Together these services provide a modular, distributed architecture for building a “semantic web” for the research literature

Learning How to Play Nicely: Repositories and CRIS

More than 60 delegates convened at the Rose Bowl in Leeds on 7 May 2010 for this event to explore the developing relationship and overlap between Open Access research repositories and so called 'CRISs' – Current Research Information Systems – that are increasingly being implemented at universities. The Welsh Repository Network (WRN) [1], a collaborative venture between the Higher Education institutions (HEIs) in Wales, funded by JISC, had clearly hit upon an engaging topic du jour. The event, jointly supported by JISC [2] and ARMA (Association of Research Managers and Administrators)[3], was fully booked within just five days of being announced. In the main, delegates were either research managers and administrators, or repository managers, and one of the themes that came up throughout the day was the need for greater communication between research offices and libraries (where repository services are often managed.) As well as JISC and ARMA, euroCRIS [4], a not-for- profit organisation that aims to be an internationally recognised point of reference for CRISs, was represented at the event. Delegates could also visit the software exhibition and speak with representatives of Atira, Symplectic Ltd and Thomson Reuters, among others

LORE: A Compound Object Authoring and Publishing Tool for the Australian Literature Studies Community

This paper presents LORE (Literature Object Re-use and Exchange), a light-weight tool which is designed to allow scholars and teachers of Australi-an literature to author, edit and publish compound information objects encapsulating related digital resources and bibliographic records. LORE enables users to easily create OAI-ORE-compliant compound objects, which build on the IFLA FRBR model, and also enables them to describe and publish them to an RDF repository as Named Graphs. Using the tool, literary scholars can create typed relationships between individual atomic objects using terms from a bibli-ographic ontology and can attach metadata to the compound object. This paper describes the implementation and user interface of the LORE tool, as developed within the context of an ongoing case study being conducted in collaboration with AustLit: The Australian Literature Resource, which focuses on compound objects for teaching and research within the Australian literature studies community

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 developing mechanisms to translate among them. Of particular interest in this model is an event, which facilitates understanding of the lifecycle of resources and the association of metadata descriptions with points in this lifecycle

SMAN : Stacked Multi-Modal Attention Network for cross-modal image-text retrieval

This article focuses on tackling the task of the cross-modal image-text retrieval which has been an interdisciplinary topic in both computer vision and natural language processing communities. Existing global representation alignment-based methods fail to pinpoint the semantically meaningful portion of images and texts, while the local representation alignment schemes suffer from the huge computational burden for aggregating the similarity of visual fragments and textual words exhaustively. In this article, we propose a stacked multimodal attention network (SMAN) that makes use of the stacked multimodal attention mechanism to exploit the fine-grained interdependencies between image and text, thereby mapping the aggregation of attentive fragments into a common space for measuring cross-modal similarity. Specifically, we sequentially employ intramodal information and multimodal information as guidance to perform multiple-step attention reasoning so that the fine-grained correlation between image and text can be modeled. As a consequence, we are capable of discovering the semantically meaningful visual regions or words in a sentence which contributes to measuring the cross-modal similarity in a more precise manner. Moreover, we present a novel bidirectional ranking loss that enforces the distance among pairwise multimodal instances to be closer. Doing so allows us to make full use of pairwise supervised information to preserve the manifold structure of heterogeneous pairwise data. Extensive experiments on two benchmark datasets demonstrate that our SMAN consistently yields competitive performance compared to state-of-the-art methods