Recent Developments in Cultural Heritage Image Databases: Directions for User-Centered Design

published or submitted for publicatio

Meeting of the MINDS: an information retrieval research agenda

Since its inception in the late 1950s, the field of Information Retrieval (IR) has developed tools that help people find, organize, and analyze information. The key early influences on the field are well-known. Among them are H. P. Luhn's pioneering work, the development of the vector space retrieval model by Salton and his students, Cleverdon's development of the Cranfield experimental methodology, Spärck Jones' development of idf, and a series of probabilistic retrieval models by Robertson and Croft. Until the development of the WorldWideWeb (Web), IR was of greatest interest to professional information analysts such as librarians, intelligence analysts, the legal community, and the pharmaceutical industry

Transition in Rural Communities

This metasynthesis examines transition planning and services in rural communities, especially those in Alaska. It considers the barriers and challenges to transition implementation, the cultural responsiveness of rural educators, the developments in and suggestions for transition services, and approaches and strategies for transition planning. It illuminates the importance of building community relationships and tapping into human resources. Finally, the metasynthesis stresses the rural educator's need for cultural sensitivity in rural Alaska Native communities

Semantic annotation, publication, and discovery of Java software components: an integrated approach

Component-based software development has matured into standard practice in software engineering. Among the advantages of reusing software modules are lower costs, faster development, more manageable code, increased productivity, and improved software quality. As the number of available software components has grown, so has the need for effective component search and retrieval. Traditional search approaches, such as keyword matching, have proved ineffective when applied to software components. Applying a semantically- enhanced approach to component classification, publication, and discovery can greatly increase the efficiency of searching and retrieving software components. This has been already applied in the context of Web technologies, and Web services in particular, in the frame of Semantic Web Services research. This paper examines the similarities between software components and Web services and adapts an existing Semantic Web Service publication and discovery solution into a software component annotation and discovery tool which is implemented as an Eclipse plug-in

Supporting user tasks and context: challenges for Semantic Web research

Whilst the tasks users perform online are often complex and wide-ranging, the tools currently available may not adequately support them. Attempts to classify user behaviors online have tended to focus on the medium of the web, where searching and browsing are seen as the primary modes of interaction. This paper introduces a comprehensive user-oriented classification of online tasks that emphasizes the user’s goals without assuming the use of particular internet tools or technologies. Taking greater account of a user’s context is also discussed as an essential component in better supporting performance of tasks online. Finally we consider how Semantic Web technologies can support the development of task-focused context-aware tools