DelosDLMS - The Integrated DELOS Digital Library Management System

Abstract

DelosDLMS is a prototype of a next-generation Digital Library (DL) management system. It is realized by combining various specialized DL functionalities provided by partners of the DELOS network of excellence. Currently, DelosDLMS combines text and audiovisual searching, offers new information visualization and relevance feedback tools, provides novel interfaces, allows retrieved information to be annotated and processed, integrates and processes sensor data streams, and finally, from a systems engineering point of view, is easily configured and adapted while being reliable and scalable. The prototype is based on the OSIRIS/ISIS platform, a middleware environment developed by ETH Zürich and now being extended at the University of Basel.

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

“…In addition, active components can be used for implementing arbitrary data transformations and act as proxy components to thirdparty link services. Various third-party applications and services have been integrated based on the active component approach including a paper-based image retrieval process for digital libraries [32] as well as PaperPoint [33], an interactive paper-driven presentation tool for giving PowerPoint presentations.…”

Open Search Environments: The Free Alternative to Commercial Search Services

“…In contrast, the DelosDLMS digital library framework exemplifies a heavyweight approach to integation. 16 In DelosDLMS, services are either loosely or tightly coupled in a serviceoriented architecture using web service middleware.…”

Content-based layouts for exploratory metadata search in scientific research data

“…The experimental library software INVISQUE [42] uses an index card metaphor to realize a visual interactive exploration of library content. While approaches in providing 'content summary solutions' for generic data types like audio or image, or other multimedia data exist for years [28,1], concepts for organizing scientific data by its content in the DL workflow are scarce. In [30], content summaries are provided via a k-means clustering approach.…”