Journal of Digital Information (Texas Digital Library - TDL E-Journals)
Not a member yet
252 research outputs found
Sort by
Identifying the Goal, User model and Conditions of Recommender Systems for Formal and Informal Learning
No full textThis article addresses open questions of the discussions in the first SIRTEL workshop at the EC-TEL conference 2007. It argues why personal recommender systems have to be adjusted to the specific characteristics of learning in Learning Networks. Personal recommender systems strongly depend on the context or domain they operate in, and it is often not possible to take one recommender system with a specific purpose from one context and transfer it to another context or domain. The article describes a number of distinctive differences for personalised recommendation to learners when compared to recommendations for consumers. Similarities and differences for informal and formal learning are discussed and used to define the recommendation goal that recommender systems in informal learning networks have to address. The article further suggests an evaluation approach for recommender systems in Learning Networks
Visualising Social Bookmarks
No full textSocial bookmarking tools are very popular nowadays. In most tools, users tag the bookmarks to describe them. Therefore, it is of- ten hard for users to discover implicit structures between tags, users and bookmarks. We think that this is essential for both end users to discover new bookmarks that could be of interest to them, and for researchers who want to study how people use social information re- trieval tools. In this work, a cluster map visualisation technique is customized to enable users to explore social bookmarks in the del.icio.us and the CALIBRATE system. The design of our visualisation aims to automatically identify tag and community structures, and visualises these structures in order to increase the users awareness of them
Special Issue on the Social and Psychological Aspects of Personal Information Management
No full textOther Spaces for Spatial Hypertext
No full textSpatial hypertext programs typically display a portion of a larger flat space in which items can be arranged, grouped, and manipulated. In terms of an old philosophical dispute, the space of spatial hypertext is a Newtonian absolute space rather than the Leibnizian relational space created by web pages and other node-and-link hypertexts. After discussing this difference, this essay proposes other spaces, including topologically complex spaces and an Aristotelian space that is polarized and oriented. These offer new possibilities for information triage and meaningful spatial configurations
On Understanding the Relationship Between Recollection and Refinding
No full textMemory has long since been acknowledged to be important to the processes involved in Personal Information Management, especially to re-finding previously accessed information. Nevertheless, relatively little is known about the role that memory plays in these processes or how the user\u27s recollections should be supported. Focusing, on email re-finding, this article investigates the relationship between recollection and information re-finding performance. A study is presented that examines the attributes participants remembered about email messages they were asked to re-find. The recollections are analysed statistically to learn if they influenced the participants\u27 re-finding performance. We discover that a relationship exists, although it is more complicated than researchers have previously suggested, and that specific attributes appear to influence the performance when they are remembered. We discuss our findings with respect to past and future work and also to the design of new re-finding tools
Metadata and Semantics in Digital Object Collections: A Case-Study on CIDOC-CRM and Dublin Core and a Prototype Implementation
No full textDigital collections often foster a large number of digital resources that need to be efficiently managed, described and disseminated. Metadata play a key role in these tasks as they offer the basis upon which more advanced services can be built. However, it is not always the case that such collections\u27 metadata expose explicit or even well-structured semantics. Ways to bridge this "semantic gap" are increasingly being sought, as our review of the current state-of-the-art reveals. Most importantly though, in this paper we comment on two well-known metadata standards, popular in cultural heritage applications, namely CIDOC-CRM and Dublin Core; as diverse their scope may be, we nevertheless show how applications can benefit from a transition to explicit semantic structures in these domains, in a way as painless as possible and conformant to Semantic Web standards. We conclude by presenting a concrete, prototype implementation that serves as a proof-of-concept about the ideas argued for
Expressing Personal Interpretations of Music Collections in Spatial Hypertext
No full textManaging music collections often involves prioritizing explicit metadata fields, e.g. artist, album, year, in order to structure the collection on a storage device or display it in an interface. These metadata values are used because they are independent of one\u27s interpretation of the music and, thus, equally recognizable for all users. This paper presents a study of how people develop interpretive organizations for music in spatial hypertext. The resulting organizations included a variety of personal interpretations that drew from participants\u27 knowledge of songs, memories associated with songs, and assessment of the mood of songs. Participants valued the expressive capabilities of spatial hypertext but missed the metadata-based tree views of the music collections for locating music
Students\u27 Organization Strategies of Personal
No full textAbstract. This study uses new powerful data mining methods in order to
observe students\u27 personal information space organization strategies in the
personal Web space allocated to them on the university servers. The study
included 518 users with a personal information space of at least 10 files. Data
regarding their personal information space were collected, and a clustering
algorithm was applied in order to identify profiles of students\u27 organization
strategies. Four clusters were found, refining the classical piling/filing
classification: piling, one folder filing, small folders filing and big folder filing.
Also, association was found between these profiles and personal information
space size. A discussion of these results is provided
User needs in television archive access: Acquiring knowledge necessary for system design
No full textThis paper presents a methodical approach for generating deep knowledge about users, as a prerequisite for design and construction of digital information access to cultural heritage information objects. We exemplify this methodical approach by reporting on an explorative study of information need characteristics in a television broadcast context. The methodical approach is inspired by naturalistic research, and our main data is nine in-depth interviews conducted with scholars and students within the academic field of Media Studies. The analysis identifies four characteristics. Firstly, broadcasts are needed as objects of analysis in empirical research. Secondly, the needs are related to three broadcast dimensions: 1) Transmission; 2) Archive; and 3) Reception. Thirdly, four fundamental types of information needs are verified in a television broadcast context: 1) Known item; 2) Factual data; 3) Known topic or content; and 4) Muddled topic or content. Fourthly, the interviewees’ needs consist of four phases: 1) Getting an overview of transmitted broadcasts; 2) Identification of borderline exemplars; 3) Selection of specific programmes; and 4) Verification of facts. The present paper presents novel research on characteristics of information needs in a television broadcast context. We demonstrate how one may go about generating knowledge which is imperative for the design and construction of future broadcast retrieval systems