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18 Sep 2008
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| |  | Somekh, Bridget | Designing software to maximize learning read moreAbstract: This paper starts from the assumption that any evaluation of educational software should focus on whether or not, and the extent to which, it maximizes learning. It is particularly concerned with the impact of software on the quality of learning. The paper reviews key texts in the literature on learning, including some which relate directly to software development, and suggests ways in which a range of learning theories can inform the process of software design. The paper sets out to make a contribution to both the design and the evaluation of educational software. | 1996 |
02 Sep 2008
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| | | Feasey, David | Meaning, Meta Data and E-Learning read moreAbstract: This white paper analyzes some of the
reasons why e-learning has failed, thus far, to
deliver on its promise of anytime, anywhere
learning. We focus on online self-study
courseware as the best example of e-learning
content implementation to date and uncover
some underlying challenges to adoption of
initiatives such as interactivity, a learning-
and learner-centered model, learning objects,
the emerging e-learning standards and the
use of metadata to solve the search and
retrieval problem. We recommend a renewed
focus on ontologies as machine
representations of knowledge domains, and
a blended meta data management model as
critical parts of an emerging e-learning
infrastructure. | 2002 |
27 Jun 2008
|
| | | Wilson, Scott | Personal Learning Environments: Challenging the Dominant Design of Educational Systems read moreAbstract: Current systems used in education follow a consistent design pattern, not supportive of lifelong learning or personalization, is asymmetric in terms of user capability, and which is disconnected from the global ecology of Internet services. In this paper we propose an alternative design pattern for educational systems thatemphasizes symmetric connections with a range of services both in formal and informal learning, worstrategies for implementation and experimentation. | 2006 |
| | | Devedzic, Vladan | Education and the Semantic Web read moreAbstract: Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. Developments in the Semantic Web, while contributing to the solution to these problems, also raise new issues that must be considered if we are to progress. This paper surveys the basics of the Semantic Web and discusses its importance in future Web-based educational applications. | 2004 |
23 Jun 2008
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| | | Han, H. | Two supervised learning approaches for name disambiguation in author citations read moreAbstract: Due to name abbreviations, identical names, name misspellings, and pseudonyms in publications or bibliographies (citations), an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, Web search, database integration, and may cause improper attribution to authors. We investigate two supervised learning approaches to disambiguate authors in the citations. One approach uses the naive Bayes probability model, a generative model; the other uses support vector machines (SVMs) [V. Vapnik (1995)] and the vector space representation of citations, a discriminative model. Both approaches utilize three types of citation attributes: coauthor names, the title of the paper, and the title of the journal or proceeding. We illustrate these two approaches on two types of data, one collected from the Web, mainly publication lists from homepages, the other collected from the DBLP citation databases. | 2004 |
21 Jun 2008
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| | | Montebello, M. | Information overload-an IR problem? read moreAbstract: Information overload on the World Wide Web (WWW) is a well recognised problem. Research to subdue this problem and extract maximum benefit from the Internet is still in its infancy. With huge amounts of information connected to the Internet, efficient and effective discovery of resources and knowledge has become an imminent research issue. A vast array of network services is growing up around the Internet and a massive amount of information is added everyday. Despite the potential benefits of existing indexing, retrieving and searching techniques in assisting users in the browsing process, little has been done to ensure that the information presented is of a high recall and precision standard. Therefore, search for specific information on this massive and exploding information resource base becomes highly critical. The author discusses the issues involved in resolving the information overload over the WWW and argues that this is solely an information retrieval problem. As a contribution to the field he proposes a general architecture to subdue information overload and describes how this architecture has been instantiated in a functional system he developed | 1998 |
12 Jun 2008
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| | | Mothe, Josiane | Combining mining and visualization tools to discover the geographic structure of a domain read moreAbstract: Science monitoring is a core issue in the new world of business and research. Companies and institutes need to monitor the activities of their competitors, get information on the market, changing technologies or government policies. This paper presents the Tétralogie platform that is aimed at allowing a user to interactively discover trends in scientific research and communities from large textual collections that include information about geographical location. Tétralogie consists of several agents that communicate with each other on users’ demands in order to deliver results to them. Metadata and document content are extracted before being mined. Results are displayed in the form of histograms, networks and geographical maps; these complementary types of presentations increase the possibilities of analysis compared to the use of these tools separately. We illustrate the overall process through a case study of scientific literature analysis and show how the different agents can be combined to discover the structure of a domain. The system correctly predicts the country contribution to a field in future years and allows exploration of the relationships between countries. | 2006 |
19 May 2008
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| | | Bollacker, K. D. | Discovering relevant scientific literature on the Web read moreAbstract: Scientific literature on the Web makes up a massive, noisy, disorganized database. Unlike large, single-source databases such as a corporate customer database, the Web database draws from many sources, each with its own organization. Also, owing to its diversity, most records in this database are irrelevant to an individual researcher. Furthermore, the database is constantly growing in content and changing in organization. All these characteristics make the Web a difficult domain for knowledge discovery. To quickly and easily gather useful knowledge from such a database, users need the help of an information filtering system that automatically extracts only relevant records as they appear in a stream of incoming records. To this end, we have developed the CiteSeer. CiteSeer is an automatic generator of digital libraries of scientific literature. It uses sophisticated acquisition, parsing, and presentation methods to eliminate most of the manual effort of finding useful publications on the Web | 2000 |
| | | Bollacker, K. D. | Discovering relevant scientific literature on the Web read moreAbstract: Scientific literature on the Web makes up a massive, noisy, disorganized database. Unlike large, single-source databases such as a corporate customer database, the Web database draws from many sources, each with its own organization. Also, owing to its diversity, most records in this database are irrelevant to an individual researcher. Furthermore, the database is constantly growing in content and changing in organization. All these characteristics make the Web a difficult domain for knowledge discovery. To quickly and easily gather useful knowledge from such a database, users need the help of an information filtering system that automatically extracts only relevant records as they appear in a stream of incoming records. To this end, we have developed the CiteSeer. CiteSeer is an automatic generator of digital libraries of scientific literature. It uses sophisticated acquisition, parsing, and presentation methods to eliminate most of the manual effort of finding useful publications on the Web | 2000 |
17 Apr 2008
|
| | | Stutt, A. | Semantic Learning Webs read moreAbstract: By 2020, micro p rocessors will likely be as cheap and plentiful as scrap paper,
s c a t t e red by the millions into the environment, allowing us to place
intelligent systems eve ry w h e re. This will change eve rything around us,
including the nature of commerce, the wealth of nations, and the way we
communicate, work, play, and live. This will give us smart homes, cars, T V s ,
j e we l l e ry, and money. We will speak to our appliances, and they will speak back.
Scientists also expect the In t e rnet will wire up the entire planet and evo l ve into
a membrane consisting of millions of computer networks, creating an
“intelligent planet.” The In t e rnet will eventually become a “Magic Mi r ro r” that
appears in fairy tales, able to speak with the wisdom of the human ra c e .
Michio Kaku, Visions: How Science Will Re vo l u t i o n i ze the Twe n t y - Fi r s t
C e n t u ry, 1998
If the semantic web needed a symbol, a good one to use would be a Na va h o
d ream-catcher: a small we b, lovingly hand-crafted, [easy] to look at, and
ru m o red to catch dreams; but really more of a symbol than a re a l i t y.
Pat Ha yes, Catching the Dreams, 2002 | 2004 |
16 Apr 2008
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| | | Sigala, Marianna | Integrating Web 2.0 in e-learning environments: a socio-technical approach read moreAbstract: The great diffusion of Web 2.0 is having a tremendous effect and change on the way people search, find, collaboratively develop and consume information and knowledge. Education and learning are not an exception of Web 2.0 trends, as the number of Web 2.0 empowered e-learning environments are booming. Although research in Web 2.0 applications in learning is rising, the studies tend to be very descriptive failing to identify and discuss the pedagogical theories and models that support and enhance the exploitation of Web 2.0 tools in (e)-learning environments. This paper aims to first discuss the use of Web 2.0 in (e)-learning and the new skills that they enable, and then, debate the pedagogical theories that support the exploitation of Web 2.0 for creating personalised and collaborative learning environments. To achieve that, a socio-technical approach is suggested. | 2008 |
27 Mar 2008
|
| | | Arnheim, Rudolf | Visual Thinking read moreAbstract: Sorry no abstract available for this article | 1969 |
29 Feb 2008
|
| | | Groth, D. P. | Information provenance and the knowledge rediscovery problem read moreAbstract: Visualizations leverage innate human capabilities for recognizing interesting aspects of data. Even if users might agree on what is interesting about a visualization, the steps that they use in the knowledge discovery process may be significantly different. This results in an inability to effectively recreate the exact conditions of the discovery process, which we call the knowledge rediscovery problem. Because we cannot expect a user to fully document each of their interactions, there is a need for visualization systems to maintain user trace data in a way that enhances a user's ability to communicate what they found to be interesting, as well as how they found it. We present a model for representing user interactions that articulates with a corresponding set of annotations, or observations that are made during the exploration. Such ability is critical to addressing the knowledge rediscovery problem, and is a fundamental component for systems that must provide information provenance. | 2004 |
| | | Groth, D. P. | Tracking Personal Histories for Knowledge Discovery Tasks read moreAbstract: Interactive visualizations provide an ideal setting for
exploring the use and exploitation of personal histories.
Even though visualizations leverage innate human
capabilities for recognizing interesting aspects of data, it is
unlikely that two users will follow the exact process for
discovery. This results in an inability to effectively
recreate the exact conditions of the discovery process,
which we call the knowledge rediscovery problem.
Because we cannot expect a user to fully document each of
their interactions, there is a need for visualization systems
to maintain user trace data in a way that enhances a user's
ability to communicate what they found to be interesting,
as well as how they found it. This project presents a model
for representing user interactions that articulates with a
corresponding set of annotations, or observations that are
made during the exploration. This problem is only made
more challenging when pervasive computing and
corresponding interactions across devices is factored in. | 2005 |
| | | Groth, Dennis P. | Tracking and Organizing Visual Exploration Activities across Systems and Tools read moreAbstract: Modern knowledge discovery activities occur in highly dynamic environments. Specific activities may involve multiple tools, techniques, systems, individuals, and locations. In addition to these complexities, the span of time involved with discovery may vary from short to long, as well as being contiguous or disjoint. This paper presents a framework for tracking the history, or provenance, of the discovery process across applications, systems, and users. The resulting capabilities provide fine-grained provenance information relative to the discovered information. Along with the provenance framework, a prototype system is used to demonstrate the main concepts of the proposed approach. | 2007 |
28 Feb 2008
|
| | | Keim, D. A. | Challenges in Visual Data Analysis read moreAbstract: In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information "concealed" in the data. The emerging field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most important technical research challenges in the field. | 2006 |
| | | Thomas, J. J. | A visual analytics agenda read moreAbstract: Researchers have made significant progress in disciplines such as scientific and information visualization, statistically based exploratory and confirmatory analysis, data and knowledge representations, and perceptual and cognitive sciences. Although some research is being done in this area, the pace at which new technologies and technical talents are becoming available is far too slow to meet the urgent need. National Visualization and Analytics Center's goal is to advance the state of the science to enable analysts to detect the expected and discover the unexpected from massive and dynamic information streams and databases consisting of data of multiple types and from multiple sources, even though the data are often conflicting and incomplete. Visual analytics is a multidisciplinary field that includes the following focus areas: (i) analytical reasoning techniques, (ii) visual representations and interaction techniques, (iii) data representations and transformations, (iv) techniques to support production, presentation, and dissemination of analytical results. The R&D agenda for visual analytics addresses technical needs for each of these focus areas, as well as recommendations for speeding the movement of promising technologies into practice. This article provides only the concise summary of the R&D agenda. We encourage reading, discussion, and debate as well as active innovation toward the agenda for visual analysis. | 2006 |
| | | Kaestle, G. | Sharing experiences from scientific experiments read moreAbstract: The ESP2Net project is developing technologies that enable effective collaborative scientific data sharing to support collaboration among scientists, accelerate production of scientific data products, and improve understanding of the science. We have defined a Scientific Experiment Markup Language (SEML) to capture scientific experiments in hypermedia documents as a basic unit of information sharing. A collection of SEML documents can be viewed as an online electronic experiment logbook that captures the entire experiment experience by including the process and interrelationships between experiments to allow an experiment to be re-created. Complementary means of sharing the experiences from scientific experiments (browsing, searching, dissemination, and mining) are provided by integrating OASIS transparent distributed scientific object access, Conquest dynamic distributed query processing services, and active information dissemination services introduced in semantic multicast | 1999 |
| | | Harry,, Beth | Mapping the Process: An Exemplar of Process and Challenge in Grounded Theory Analysis read moreAbstract: This article responds to recent calls for greater clarity and transparency regarding methods in qualitative research. On the basis of a 3-year ethnographic study of the overrepresentation of minorities in special education, the authors address key tenets of grounded theory and attempt to reconcile some of the methodological challenges inherent in naturalistic inquiry. They discuss theoretical considerations and use a visual model to illustrate how they applied grounded theory to this complex and sensitive topic. Emphasizing the social nature of decision making in special education, the authors point to the appropriateness of qualitative methods to the investigation of such issues. | 2005 |
| | | Yang, Di | Managing Discoveries in The Visual Analytics Process read moreAbstract: Visualization systems traditionally focus on graphical representation
of information. They tend not to provide integrated analytical
services that could aid users in tackling complex knowledge discovery
tasks. Users’ exploration in such environments is usually
impeded due to several problems: 1) valuable information is hard
to discover when too much data is visualized on the screen; 2) Users
have to manage and organize their discoveries off line, because
no systematic discovery management mechanism exists; 3) their
discoveries based on visual exploration alone may lack accuracy;
and 4)they have no convenient access to the important knowledge
learned by other users. To tackle these problems, it has been recognized
that analytical toolsmust be introduced into visualization systems.
In this paper, we present a novel analysis-guided exploration
system, called the Nugget Management System (NMS). It leverages
the collaborative effort of human comprehensibility and machine
computations to facilitate users’ visual exploration processes.
Specifically, NMS first helps users extract the valuable information
(nuggets) hidden in datasets based on their interests. Given that
similar nuggets may be rediscovered by different users, NMS consolidates
the nugget candidate set by clustering based on their semantic
similarity. To solve the problem of inaccurate discoveries,
localized data mining techniques are applied to refine the nuggets
to best represent the captured patterns in datasets. Visualization
techniques are then employed to present our collected nugget pool
and thus create the nugget view. Based on the nugget view, interaction
techniques are designed to help users observe and organize
the nuggets in a more intuitive manner and eventually faciliate
their sense-making process. We integrated NMS into XmdvTool, a
freeware multivariate visualization system. User studies were performed
to compare the users’ efficiency and accuracy in finishing
tasks on real datasets, with and without the help of NMS. Our user
studies confirmed the effectiveness of NMS. | 2007 |
| | | Frawley, W. J. | Knowledge Discovery in Databases: an Overview read moreAbstract: This article presents an overview of the state
of the art in research on knowledge discovery
in databases. We analyze Knowledge Discovery
and define it as the nontrivial extraction of
implicit, previously unknown, and potentially
useful information from data. We then
compare and contrast database, machine
learning, and other approaches to discovery
in data. We present a framework for knowledge
discovery and examine problems in
dealing with large, noisy databases, the use
of domain knowledge, the role of the user in
the discovery process, discovery methods, and
the form and uses of discovered knowledge.
We also discuss application issues, including
the variety of existing applications and
propriety of discovery in social databases. We
present criteria for selecting an application
in a corporate environment. In conclusion,
we argue that discovery in databases is both
feasible and practical and outline directions
for future research, which include better use
of domain knowledge, efficient and incremental
algorithms, interactive systems, and
integration on multiple levels. | 1992 |
27 Feb 2008
|
| | | Butler, A. R. | Three dogmas of metadata and undiscovered knowledge read moreAbstract: The prevalence of metadata and technologies supporting metadata have failed to achieve their anticipated objectives (shared data, loose coupling, productivity, intelligence) because they represent an unrealistic, or at least incomplete, picture of the concept "metadata". Three emergent assumptions typically adopted by designers using metadata are identified, assumptions that contain the seeds of the inevitable failure of such designs. We also suggest a number of methodologies to extricate the architect (and more critically, partner architects) from such dogma. | 2005 |
| | | Butler, A. R. | Three dogmas of metadata and undiscovered knowledge read moreAbstract: The prevalence of metadata and technologies supporting metadata have failed to achieve their anticipated objectives (shared data, loose coupling, productivity, intelligence) because they represent an unrealistic, or at least incomplete, picture of the concept "metadata". Three emergent assumptions typically adopted by designers using metadata are identified, assumptions that contain the seeds of the inevitable failure of such designs. We also suggest a number of methodologies to extricate the architect (and more critically, partner architects) from such dogma. | 2005 |
24 Feb 2008
|
| | | erson, Paul | What is Web 2.0? Ideas, technologies and implications for education read moreAbstract: Sorry no abstract available for this article | |
| | | Rip, A. | Qualitative conditions of scientometrics: The new challenges read moreAbstract: While scientometrics is now an established field, there are challenges. A closer look at how scientometricians aggregate building blocks into artfully made products, and point-represent these (e.g. as the map of field X) allows one to overcome the dependence on judgements of scientists for validation, and replace or complement these with intrinsic validation, based on quality checks of the several steps. Such quality checks require qualitative analysis of the domains being studied. Qualitative analysis is also necessary when noninstitutionalized domains and/or domains which do not emphasize texts are to be studied. A further challenge is to reflect on the effects of scientometrics on the development of science; indicators could lead to ‘induced’ aggregation. The availability of scientometric tools and insights might allow scientists and science to become more reflexive. | 1997 |
24 Dec 2007
|
| | | Dhraief, Hadhami | Open Learning Repositories and Metadata Modeling read moreAbstract: Building repositories for e-learning is an iterative process and course content and course structure
are always changing. We realized the necessity to separate content from structure of a given course during the
conception of our first e-learning repository, which we called KBS-Hyperbook, several years ago at our
institute. This system has been built around a conceptual model for structure and contents of the domain,
which is expressed in the O-Telos conceptual modelling language. To ease exchange of metadata between
such repositories, the Open Learning Repository (OLR), an e-learning repository we built during the last year
to experiment with various features useful for such repositories, has been developed using RDF/RDFS as
modelling language.
In the first part of this paper, we describe the OLR system in more detail, and show how it uses RDF/RDFS as
its underlying modelling language to express information about the learning objects contained in the
repository, as well as information about the relationships between these learning objects. Based on our
experience in meta-modelling using different modelling languages, we will in the second part of this paper
discuss RDF/RDFS and O-Telos modelling in more depth and will analyse similarities and differences of
these two modelling languages. | 2001 |
15 Dec 2007
|
| | | Sui, Daniel Z. | The Message is the Medium: Geographic Education in the Age of the Internet read moreAbstract: When McLuhan and Fiore (1967) boldly declared that “the medium
is the message,” they were calling our attention to the subtle and complex
roles of the medium in shaping our thoughts and behaviors. Today,
people seem to be unable to discuss anything without mentioning the
Internet-the latest electronic medium for communication. The Internet’s
explosive growth during the past five years has raised numerous
issues regarding fundamental geographic concepts such as space, place,
and time (Adams and Warf 1997, Brunn 1998). As more geography
departments offer virtual field trips, on-line courses, and even on-line
degree programs, the Internet is also changing the way we teach geography
(0 Tuathail and McCormack 1998). Similar to previous technical
advances, the current episode has generated both enormous enthusiasm
and serious concerns (Hiltz 1994, Talbott 1995, Rochlin 1996, Tapscott
1998). This special issue addresses conceptual, cognitive, and pedagogic
issues in the age of the Internet, and this introduction situates the current
transformation and its implications for geography and geographic
education in a broader historical and conceptual context. We hope to
provoke geographers to think beyond technical issues and stimulate
further discussion about how the Internet will transform traditional
geographic concepts and how cognitive and pedagogical theories can be
incorporated into the e-merging virtual geography department. | 1999 |
09 Dec 2007
|
| | | Elmqvist, Niklas | CiteWiz: a tool for the visualization of scientific citation networks read moreAbstract: We present CiteWiz, an extensible framework for visualization of scientific citation networks. The system is based on a taxonomy of citation database usage for researchers, and provides a timeline visualization for overviews and an influence visualization for detailed views. The timeline displays the general chronology and importance of authors and articles in a citation database, whereas the influence visualization is implemented using the Growing Polygons technique, suitably modified to the context of browsing citation data. Using the latter technique, hierarchies of articles with potentially very long citation chains can be graphically represented. The visualization is augmented with mechanisms for parent-child visualization and suitable interaction techniques for interacting with the view hierarchy and the individual articles in the dataset. We also provide an interactive concept map for keywords and co-authorship using a basic force-directed graph layout scheme. A formal user study indicates that CiteWiz is significantly more efficient than traditional database interfaces for high-level analysis tasks relating to influence and overviews, and equally efficient for low-level tasks such as finding a paper and correlating bibliographical data.Information Visualization (2007) 6, 215-232. doi:10.1057/palgrave.ivs.9500156 | 2007 |
06 Dec 2007
|
| | | Heer, Jeffrey | Vizster: Visualizing Online Social Networks read moreAbstract: Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual friendship relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large scale online social networks. Our design builds upon familiar node link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the systems usability, capacity for facilitating discovery, and potential for fun and engaged social activity. | 2005 |
| | | Arpinar, I. B. | Handbook of Geographic Information Science read moreAbstract: Sorry no abstract available for this article | 2004 |
| | | Bilgic, Mustafa | D-Dupe: An Interactive Tool for Entity Resolution in Social Networks read moreAbstract: Sorry no abstract available for this article | 2006 |
| | | Brennan, Susan E. | Toward a Multi-Analyst, Collaborative Framework for Visual Analytics read moreAbstract: Sorry no abstract available for this article | 2006 |
| | | Eccles, Ryan | Stories in GeoTime read moreAbstract: A story is a powerful abstraction used by intelligence analysts to conceptualize threats and understand patterns as part of the analytical process. This paper demonstrates a system that detects geo-temporal patterns and integrates story narration to increase analytic sense-making cohesion in GeoTime. The GeoTime geotemporal event visualization tool was augmented with a story system that uses narratives, hypertext linked visualizations, visual annotations, and pattern detection to create an environment for analytic exploration and communication, thereby assisting the analyst in identifying, extracting, arranging and presenting stories within the data The story system lets analysts operate at the story level with higher-level abstractions of data, such as behaviors and events, while staying connected to the evidence. The story system was developed and evaluated in collaboration with analysts. | 2007 |
| | | Eccles, Ryan | Stories in GeoTime read moreAbstract: A story is a powerful abstraction used by intelligence analysts to conceptualize threats and understand patterns as part of the analytical process. This paper demonstrates a system that detects geo-temporal patterns and integrates story narration to increase analytic sense-making cohesion in GeoTime. The GeoTime geotemporal event visualization tool was augmented with a story system that uses narratives, hypertext linked visualizations, visual annotations, and pattern detection to create an environment for analytic exploration and communication, thereby assisting the analyst in identifying, extracting, arranging and presenting stories within the data The story system lets analysts operate at the story level with higher-level abstractions of data, such as behaviors and events, while staying connected to the evidence. The story system was developed and evaluated in collaboration with analysts. | 2007 |
| | | Luo, Hangzai | Analyzing Large-Scale News Video Databases to Support Knowledge Visualization and Intuitive Retrieval read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Elmqvist, Niklas | DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Kim, SungYe | Visual Analytics on Mobile Devices for Emergency Response read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Keim, Daniel A. | Activity Analysis Using Spatio-Temporal Trajectory Literature Fingerprinting: Literature Fingerprinting: A New Method for Visual Literary Analysis read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Shaw, Chris D. | IMAS: The Interactive Multigenomic Analysis System read moreAbstract: This paper introduces a new Visual Analysis tool named IMAS (Interactive Multigenomic Analysis System), which combines common analysis tools such as Glimmer, BLAST, and Clustal-W into a unified Visual Analytic framework. IMAS displays the primary DNA sequence being analyzed by the biologist in a highly interactive, zoomable visual display. The user may analyze the sequence in a number of ways, and visualize these analyses in a coherent, sequence aligned form, with all related analysis products grouped together. This enables the user to rapidly perform analyses of DNA sequences without the need for tedious and error-prone cutting and pasting of sequence data from text files to and from web-based databases and data analysis services, as is now common practice. | 2007 |
| | | Pan, Chi-Chun | FemaRepViz: Automatic Extraction and Geo-Temporal Visualization of FEMA National Situation Updates read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Pan, Chi-Chun | FemaRepViz: Automatic Extraction and Geo-Temporal Visualization of FEMA National Situation Updates read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Nam, Eun J. | ClusterSculptor: A Visual Analytics Tool for High-Dimensional Data read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Tesone, Daniel R. | Balancing Interactive Data Management of Massive Data with Situational Awareness through Smart Aggregation read moreAbstract: Sorry no abstract available for this article | 2007 |
| | | Yang, Di | Analysis Guided Visual Exploration of Multivariate Data read moreAbstract: Sorry no abstract available for this article | 2007 |
05 Dec 2007
|
| | | McGreal, Rory | Online Education Using Learning Objects read moreAbstract: Sorry no abstract available for this article | 2004 |
| | | Polsani, Pithamber R. | Use and Abuse of Reusable Learning Objects read moreAbstract: The term Learning Object, first popularized by Wayne Hodgins in 1994 when he named the CedMA working group Learning Architectures, APIs and Learning Objects, has become the Holy Grail of content creation and aggregation in the computer-mediated learning field. The terms Learning Objects (LOs) and Reusable Learning Objects are frequently employed in uncritical ways, thereby reducing them to mere slogans. The serious lack of conceptual clarity and reflection is evident in the multitude of definitions and uses of LOs. The objectives of this paper are to assess current definitions of the term Learning Object, to articulate the foundational principles for developing a concept of LOs, and to provide a methodology and broad set of guidelines for creating LOs. | 2003 |
04 Dec 2007
|
| | | Yi, Ji S. | Toward a Deeper Understanding of the Role of Interaction in Information Visualization read moreAbstract: Even though interaction is an important part of information visualization (Infovis), it has garnered a relatively low level of attention from the Infovis community. A few frameworks and taxonomies of Infovis interaction techniques exist, but they typically focus on low-level operations and do not address the variety of benefits interaction provides. After conducting an extensive review of Infovis systems and their interactive capabilities, we propose seven general categories of interaction techniques widely used in Infovis: 1) Select, 2) Explore, 3) Reconfigure, 4) Encode, 5) Abstract/Elaborate, 6) Filter, and 7) Connect. These categories are organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system. The categories can act as a framework to help discuss and evaluate interaction techniques and hopefully lay an initial foundation toward a deeper understanding and a science of interaction. | 2007 |
| | | Yi, Ji S. | Toward a Deeper Understanding of the Role of Interaction in Information Visualization read moreAbstract: Even though interaction is an important part of information visualization (Infovis), it has garnered a relatively low level of attention from the Infovis community. A few frameworks and taxonomies of Infovis interaction techniques exist, but they typically focus on low-level operations and do not address the variety of benefits interaction provides. After conducting an extensive review of Infovis systems and their interactive capabilities, we propose seven general categories of interaction techniques widely used in Infovis: 1) Select, 2) Explore, 3) Reconfigure, 4) Encode, 5) Abstract/Elaborate, 6) Filter, and 7) Connect. These categories are organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system. The categories can act as a framewo |
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