From Keyword Search to Exploration: How Result Visualization Aids Discovery on the Web

A key to the Web's success is the power of search. The elegant way in which search results are returned is usually remarkably effective. However, for exploratory search in which users need to learn, discover, and understand novel or complex topics, there is substantial room for improvement. Human computer interaction researchers and web browser designers have developed novel strategies to improve Web search by enabling users to conveniently visualize, manipulate, and organize their Web search results. This monograph offers fresh ways to think about search-related cognitive processes and describes innovative design approaches to browsers and related tools. For instance, while key word search presents users with results for specific information (e.g., what is the capitol of Peru), other methods may let users see and explore the contexts of their requests for information (related or previous work, conflicting information), or the properties that associate groups of information assets (group legal decisions by lead attorney). We also consider the both traditional and novel ways in which these strategies have been evaluated. From our review of cognitive processes, browser design, and evaluations, we reflect on the future opportunities and new paradigms for exploring and interacting with Web search results

Virtual studio: a digital repository in architectural education

The “virtual studio” is a project exploring the potential of virtual learning environments to augment conventional studio culture in the Lincoln School of Architecture. Staff saw an opportunity to bridge the long-acknowledged divide in learning between theory, technology and studio practice by linking a wide range of digital material and media from across the curriculum within a single virtual space, both formal learning objects created by staff and work produced by students. Early in its development the project was expanded to link with Lincoln’s JISC-funded Institutional Repository which aims to establish a digital repository of teaching and learning objects and peer-reviewed research across the University. The School of Architecture was to be an initial test bed for the creation of a more generic, university-wide repository. However, architecture is an atypical discipline; its emphasis is more visual than literary, more practice than research-based and its approach to teaching and learning is more fluid and varied than either the sciences or the humanities (Stevens, 1998). If we accept that it is social interests that underlie the development of technology rather than any inevitable or rational progress (Bijker, 1997), the question arises as to what extent an institutional repository can reconcile architectural interests with the interests of other disciplines. Architecture and the design disciplines are marginal actors in the debate surrounding digital archive development, this paper argues, and they bring problems to the table that are not easily resolved given available software and that lie outside the interests of most other actors in academia

Robust audio indexing for Dutch spoken-word collections

Abstract—Whereas the growth of storage capacity is in accordance with widely acknowledged predictions, the possibilities to index and access the archives created is lagging behind. This is especially the case in the oral history domain and much of the rich content in these collections runs the risk to remain inaccessible for lack of robust search technologies. This paper addresses the history and development of robust audio indexing technology for searching Dutch spoken-word collections and compares Dutch audio indexing in the well-studied broadcast news domain with an oral-history case-study. It is concluded that despite significant advances in Dutch audio indexing technology and demonstrated applicability in several domains, further research is indispensable for successful automatic disclosure of spoken-word collections

A lightweight web video model with content and context descriptions for integration with linked data

The rapid increase of video data on the Web has warranted an urgent need for effective representation, management and retrieval of web videos. Recently, many studies have been carried out for ontological representation of videos, either using domain dependent or generic schemas such as MPEG-7, MPEG-4, and COMM. In spite of their extensive coverage and sound theoretical grounding, they are yet to be widely used by users. Two main possible reasons are the complexities involved and a lack of tool support. We propose a lightweight video content model for content-context description and integration. The uniqueness of the model is that it tries to model the emerging social context to describe and interpret the video. Our approach is grounded on exploiting easily extractable evolving contextual metadata and on the availability of existing data on the Web. This enables representational homogeneity and a firm basis for information integration among semantically-enabled data sources. The model uses many existing schemas to describe various ontology classes and shows the scope of interlinking with the Linked Data cloud

Publication, Testing and Visualization with EFES : A tool for all stages of the EpiDoc XML editing process

EpiDoc is a set of recommendations, schema and other tools for the encoding of ancient texts, especially inscriptions and papyri, in TEI XML, that is now used by upwards of a hundred projects around the world, and large numbers of scholars seek training in EpiDoc encoding every year. The EpiDoc Front-End Services tool (EFES) was designed to fill the important need for a publication solution for researchers and editors who have produced EpiDoc encoded texts but do not have access to digital humanities support or a well-funded IT service to produce a publication for them. This paper will discuss the use of EFES not only for final publication, but as a tool in the editing and publication workflow, by editors of inscriptions, papyri and similar texts including those on coins and seals. The edition visualisations, indexes and search interface produced by EFES are able to serve as part of the validation, correction and research apparatus for the author of an epigraphic corpus, iteratively improving the editions long before final publication. As we will argue, this research process is a key component of epigraphic and papyrological editing practice, and studying these needs will help us to further enhance the effectiveness of EFES as a tool. To this end we also plan to add three major functionalities to the EFES toolbox: (1) date visualisation and filter—building on the existing “date slider,” and inspired by partner projects such as Pelagios and Godot; (2) geographic visualization features, again building on Pelagios code, allowing the display of locations within a corpus or from a specific set of search results in a map; (3) export of information and metadata from the corpus as Linked Open Data, following the recommendations of projects such as the Linked Places format, SNAP, Chronontology and Epigraphy.info, to enable the semantic sharing of data within and beyond the field of classical and historical editions. Finally, we will discuss the kinds of collaboration that will be required to bring about desired enhancements to the EFES toolset, especially in this age of research-focussed, short-term funding. Embedding essential infrastructure work of this kind in research applications for specific research and publication projects will almost certainly need to be part of the solution.Peer reviewe

Associating characters with events in films

The work presented here combines the analysis of a film's audiovisual features with the analysis of an accompanying audio description. Specifically, we describe a technique for semantic-based indexing of feature films that associates character names with meaningful events. The technique fuses the results of event detection based on audiovisual features with the inferred on-screen presence of characters, based on an analysis of an audio description script. In an evaluation with 215 events from 11 films, the technique performed the character detection task with Precision = 93% and Recall = 71%. We then go on to show how novel access modes to film content are enabled by our analysis. The specific examples illustrated include video retrieval via a combination of event-type and character name and our first steps towards visualization of narrative and character interplay based on characters occurrence and co-occurrence in events

Representing archaeological uncertainty in cultural informatics

This thesis sets out to explore, describe, quantify, and visualise uncertainty in a cultural informatics context, with a focus on archaeological reconstructions. For quite some time, archaeologists and heritage experts have been criticising the often toorealistic appearance of three-dimensional reconstructions. They have been highlighting one of the unique features of archaeology: the information we have on our heritage will always be incomplete. This incompleteness should be reflected in digitised reconstructions of the past. This criticism is the driving force behind this thesis. The research examines archaeological theory and inferential process and provides insight into computer visualisation. It describes how these two areas, of archaeology and computer graphics, have formed a useful, but often tumultuous, relationship through the years. By examining the uncertainty background of disciplines such as GIS, medicine, and law, the thesis postulates that archaeological visualisation, in order to mature, must move towards archaeological knowledge visualisation. Three sequential areas are proposed through this thesis for the initial exploration of archaeological uncertainty: identification, quantification and modelling. The main contributions of the thesis lie in those three areas. Firstly, through the innovative design, distribution, and analysis of a questionnaire, the thesis identifies the importance of uncertainty in archaeological interpretation and discovers potential preferences among different evidence types. Secondly, the thesis uniquely analyses and evaluates, in relation to archaeological uncertainty, three different belief quantification models. The varying ways that these mathematical models work, are also evaluated through simulated experiments. Comparison of results indicates significant convergence between the models. Thirdly, a novel approach to archaeological uncertainty and evidence conflict visualisation is presented, influenced by information visualisation schemes. Lastly, suggestions for future semantic extensions to this research are presented through the design and development of new plugins to a search engine