Workshop on Desktop Search

The first SIGIR workshop on Desktop Search was held on 23rd July 2010 in Geneva, Switzerland. The workshop consisted of 2 industrial keynotes, 10 paper presentations in a combination of oral and poster format and several discussion sessions. This report presents an overview of the scope and contents of the workshop and outlines the major outcomes

Workshop on evaluating personal search

The first ECIR workshop on Evaluating Personal Search was held on 18th April 2011 in Dublin, Ireland. The workshop consisted of 6 oral paper presentations and several discussion sessions. This report presents an overview of the scope and contents of the workshop and outlines the major outcomes

A spiral model for adding automatic, adaptive authoring to adaptive hypermedia

At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or their evaluation. In order to tackle these problems, we have looked into the causes of the complexity. Manual annotation has proven to be a bottleneck for authoring of adaptive hypermedia. One such solution is the reuse of automatically generated metadata. In our previous work we have proposed the integration of the generic Adaptive Hypermedia authoring environment, MOT ( My Online Teacher), and a semantic desktop environment, indexed by Beagle++. A prototype, Sesame2MOT Enricher v1, was built based upon this integration approach and evaluated. After the initial evaluations, a web-based prototype was built (web-based Sesame2MOT Enricher v2 application) and integrated in MOT v2, conforming with the findings of the first set of evaluations. This new prototype underwent another evaluation. This paper thus does a synthesis of the approach in general, the initial prototype, with its first evaluations, the improved prototype and the first results from the most recent evaluation round, following the next implementation cycle of the spiral model [Boehm, 88]

Exploring Memory Cues to Aid Information Retrieval from Personal LifeLog Archives

The expansion of personal information archives and the emerging field of Personal Lifelogs (PLs) are creating new challenges for information retrieval (IR). While studies have demonstrated the difficulties of IR for these massive data collection [1], we should also think about how we can opportunities and benefits from integrating these data sources as a component of “digital memories” , considering their rich connections with the users‟ memory. We observed that most existing approaches to personal archive IR are mostly technology-driven. Although in recent years studies in Personal Information management (PIM) have claimed to make use of the human memory features, and many works have been reported as investigating well-remembered features of computer files (documents, email, photos). Yet, these explorations are usually confined to the attributes or feature that current computer file systems or technology have provided. I believe that there are important and potentially useful data attributes that these studies have ignored. In addition, current personal search interfaces provide searching options based on what is available in the system, e.g. require users to fill in the calendar date, regardless of the fact that people actually don‟t often encode „time‟ in such a way. My PhD project aims to explore what users actually tend to recall in different personal achieve information seeking tasks, how to present searching options to cater for the right type or format of information that users can recall, and how to exploit this information in an IR system for personal lifelog archives. In this paper, I discuss the limits and advantages of some related work, and present my current and proposed study, with an outlook of an interface that I plan to develop to explore my proposals

Memory support for desktop search

The user's memory plays a very important role in desktop search. A search query with insufficiently or inaccurately recalled information may make the search dramatically less effective. In this paper, we discuss three approaches to support user’s memory during desktop search. These include extended types of well remembered search options, the use of past search queries and results, and search from similar items. We will also introduce our search system which incorporates these features

Managed Forgetting to Support Information Management and Knowledge Work

Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigating knowledge work and information management support measures inspired by human forgetting. In this paper, we give an overview of solutions we have found during the last five years as well as challenges that still need to be tackled. Additionally, we share experiences gained with the prototype of a first forgetful information system used 24/7 in our daily work for the last three years. We also address the untapped potential of more explicated user context as well as features inspired by Memory Inhibition, which is our current focus of research.Comment: 10 pages, 2 figures, preprint, final version to appear in KI - K\"unstliche Intelligenz, Special Issue: Intentional Forgettin

The Fascinator: A lightweight, modular contribution to the Fedora-commons world

4th International Conference on Open RepositoriesThis presentation was part of the session : Fedora User Group PresentationsDate: 2009-05-20 01:30 PM – 03:00 PMThe Australian government has supported the development of repository infrastructure for several years now. One product of this support was the ARROW project (Australian Research Repositories Online to the World). The ARROW project sponsored a hybrid commercial/open-source approach to building vendor-supported repository infrastructure with open-source underpinnings. One of the open-source contributions, which complements the vendor-sourced product adopted by many of the ARROW partners is a simple to install and configure front-end web service for Fedora repositories known as "The Fascinator". The Fascinator was conceived initially as a way to prove a point in an ongoing dialogue within the ARROW project about repository architecture. The goal was to test the hypothesis that it would be possible to build a useful, fast, flexible web front end for a repository using a single fast indexing system to handle browsing via facets, full-text search, multiple 'portal' views of subsets of a large corpus, and most importantly, easy-to administer security that could handle the most common uses cases seen in the ARROW community. This contrasted with the approach taken by ARROW's commercial partner, which used several different indices to achieve only some of the same functionality in an environment which was much more complex to manage and configure. We will give an overview of the product in both functional and technical terms. Functionally, The Fascinator offers: Click-to-create portals. Easy to configure security based on a query-based filter system, the repository owner can express security in terms of saved-searches that define what a user or group is allowed to see. Highly flexible indexing of a Fedora repository for administrators (and by extension anything the harvesting module can scrape-up). Technically, The Fascinator is a modular system, written in Java so it is easy to deploy with Fedora and Solr, consisting of: An indexing system for Fedora which builds on the standard G-Search supplied with the software, and some work done by the Muradora team. A configurable harvesting application which can ingest data from OAI-PMH, ORE, and local file systems. A web portal application which can be used to build flexible front end websites or act as a service to other sites via an HTTP API. An OAI-PMH (and ATOM archive) system which can create sub-feeds from a repository very easily without complexities like OAI-PMH sets. An easy to use installer for Unix based platforms allowing a systems administrator to install the application along with Fedora and Solr with a few keystrokes. While The Fascinator's goals were modest it has been met with some enthusiasm by repository managers in Australia and beyond, and is being trialled and/or piloted in a small number of sites across the world.ARROW project, Monash Universit