http://www.bibsonomy.org/burst/user/neilernst/InformationBibSonomy BuRST Feed for /user/neilernst/Information2008-07-26T21:38:38+02:00http://www.bibsonomy.org/bibtex/2fe254bec82e3dd5510e0a4aff89f2cb1/neilernstneilernst2008-04-28T17:42:32+02:00Repository Versions Model Database Object-Oriented Information <span style="color:#555555;">Philip A. <a href="http://www.bibsonomy.org/author/Bernstein">Bernstein</a> and Thomas <a href="http://www.bibsonomy.org/author/Bergstraesser">Bergstraesser</a> and Jason <a href="http://www.bibsonomy.org/author/Carlson">Carlson</a> and Shankar <a href="http://www.bibsonomy.org/author/Pal">Pal</a> and Paul <a href="http://www.bibsonomy.org/author/Sanders">Sanders</a> and David <a href="http://www.bibsonomy.org/author/Shutt">Shutt</a> </span><em>Information Systems</em><em>24(2):71--98</em><em>#apr#1999. </em>Mon Apr 28 17:42:32 CEST 2008Meta-Modelling and Methodology EngineeringInformation Systems#apr#271--98Microsoft repository version 2 and the open information model,241999Repository Versions Model Database Object-Oriented Information Microsoft Repository is an object-oriented meta-data management facility that ships in Microsoft Visual Studio and Microsoft SQL Server. It includes two main components: - - A repository engine that implements a set of object-oriented interfaces on top of a SQL database system. A developer can use these interfaces to define information models (i.e., schemas) and manipulate instances of the models.- - The Open Information Model, which is a set of information models that cover object modeling, database modeling, and component reuse. The repository system is designed to meet the persistent storage needs of software tools. Its main technical goals are: - - Compatibility with Microsoft's Component Object Model (COM) architecture- - Extensibility by customers and independent software vendors, so they can add behavior to objects stored by the repository engine and extend information models provided by Microsoft and others.- - Flexible and efficient versioning, configuration management, and checkout/checkin to support team-oriented activities. This paper describes the programming interface and implementation of the repository engine and the Open Information Model.http://www.bibsonomy.org/bibtex/268d4e2635a5ab93fdd83f021c799251f/neilernstneilernst2008-04-10T22:03:52+02:00information empirical system theory <span style="color:#555555;">Shirley <a href="http://www.bibsonomy.org/author/Gregor">Gregor</a> </span><em>MIS Quarterly</em><em>30(3):491-506</em><em>September2006. </em><em>referenced in Hannay et al . </em>Thu Apr 10 22:03:52 CEST 2008MIS QuarterlySeptemberreferenced in Hannay et al3491-506The nature of theory in information systems302006information empirical system theory he aim of this research essay is to examine the structural nature of theory in information systems. Despite the importance of theory, questions relating to its form and structure are neglected in comparison with questions relating to epistemology. The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory. A taxonomy is proposed that classifies information systems theories with respect to the manner in which four central goals are addressed: analysis, explanation, prediction, and prescription. Five interrelated types of theory are distinguished: (1) theory for analyzing, (2) theory for explaining, (3) theory for predicting, (4) theory for explaining and predicting, and (5) theory for design and action. Examples illustrate the nature of each theory type. The applicability of the taxonomy is demonstrated by classifying a sample of journal articles. The paper contributes by showing that multiple views of theory exist and by exposing the assumptions underlying different viewpoints. In addition, it is suggested that the type of theory under development can influence the choice of an epistemological approach. Support is given for the legitimacy and value of each theory type. The building of integrated bodies of theory that encompass all theory types is advocated.An overview of "Information extraction"http://www.bibsonomy.org/bibtex/2ee6de663fac26a3777328c769ca3cc70/neilernstneilernst2008-02-18T18:11:47+01:00information unstructured extraction <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/McCallum">McCallum</a> </span><em>Queue</em><em>3(9):48--57</em>(<em>2005</em>)Mon Feb 18 18:11:47 CET 2008Queue948--57Information extraction: distilling structured data from unstructured text32005information unstructured extraction In 2001 the U.S. Department of Labor was tasked with building a Web site that would help people find continuing education opportunities at community colleges, universities, and organizations across the country. The department wanted its Web site to support fielded Boolean searches over locations, dates, times, prerequisites, instructors, topic areas, and course descriptions. Ultimately it was also interested in mining its new database for patterns and educational trends. This was a major data-integration project, aiming to automatically gather detailed, structured information from tens of thousands of individual institutions every three months.The first and biggest problem was that much of the data wasn't available even in semi-structured form, much less normalized, structured form. Although some of the larger organizations had internal databases of their course listings, almost none of them had publicly available interfaces to their databases. The only universally available public interfaces were Web pages designed for human browsing. Unfortunately, but as expected, each organization used different text formatting. Some of these Web pages contained two-dimensional text tables; many others used a stylized collection of paragraphs for each course offering; still others had a single paragraph of English prose containing all the information about each course.The task thus required extracting structured information from English that had been formatted in a mixture of two-dimensional layout and free-running prose--a daunting technical challenge, but one that was ultimately solved successfully. More details about the solution follow, but first, let's place this problem in context.SpringerLink - Journal Articlehttp://www.bibsonomy.org/bibtex/233d2d1cee731505d5eadb164a9247a40/neilernstneilernst2008-01-09T04:26:02+01:00Cost–benefit Decision Tradeoffs visualization Risk Requirements Information should-read <span style="color:#555555;">Martin S. <a href="http://www.bibsonomy.org/author/Feather">Feather</a> and Steven <a href="http://www.bibsonomy.org/author/Cornford">Cornford</a> </span><em>Requirements Engineering</em><em>8(4):248-265</em><em>November2003. </em>Wed Jan 09 04:26:02 CET 2008Requirements EngineeringNovember4248-265Quantitative risk-based requirements reasoning82003Cost–benefit Decision Tradeoffs visualization Risk Requirements Information should-read At NASA we have been developing and applying a risk management framework, "Defect Detection and Prevention"(DDP). It is based on a simple quantitative model of risk and is supported by custom software. We have used it to aid in study and planning for systems that employ advanced technologies. The framework has proven successful at identifying problematic requirements(those which will be the most difficult to attain), at optimizing the allocation of resources so as to maximize requirements attainment, at identifying areas where research investments should be made, and at supporting tradeoff analyses among major alternatives. We describe the DDP model, the information that populates a model, how DDP is used, and its tool support. DDP has been designed to aid decision making early in development. Detailed information is lacking at this early stage. Accordingly, DDP exhibits a number of strategic compromises between fidelity and tractability. The net result is an approach that appears both feasible and useful during early requirements decision making.http://www.bibsonomy.org/bibtex/25f4064ed9c21fdb4d8671ce2e4aede97/neilernstneilernst2007-12-20T17:29:27+01:00user visualisation interfaces hierarchical Timeline information relationships <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/André">Andr&#233;</a> and Max L. <a href="http://www.bibsonomy.org/author/Wilson">Wilson</a> and Alistair <a href="http://www.bibsonomy.org/author/Russell">Russell</a> and Daniel A. <a href="http://www.bibsonomy.org/author/Smith">Smith</a> and Alisdair <a href="http://www.bibsonomy.org/author/Owens">Owens</a> and m.c. <a href="http://www.bibsonomy.org/author/schraefel">schraefel</a> </span><em>UIST2007 (ACM Symposium on User Interface Software and Technology), </em><em>Newport, Rhode Island, USA, </em><em>ACM SigCHI, </em><em>October2007. </em>Thu Dec 20 17:29:27 CET 2007Newport, Rhode Island, USAUIST2007 (ACM Symposium on User Interface Software and Technology)OctoberContinuum: designing timelines for hierarchies, relationships and scale2007user visualisation interfaces hierarchical Timeline information relationships Temporal events, while often discrete, also have interesting relationships within and across times: larger events are often collections of smaller more discrete events (battles within wars; artists' works within a form); events at one point also have correlations with events at other points (a play written in one period is related to its performance, or lack of performance, over a period of time). Most temporal visualisations, however, only represent discrete data points or single data types along a single timeline: this event started here and ended there; this work was published at this time; this tag was popular for this period. In order to represent richer, faceted attributes of temporal events, we present Continuum. Continuum enables hierarchical relationships in temporal data to be represented and explored; it enables relationships between events across periods to be expressed, and in particular it enables user-determined control over the level of detail of any facet of interest so that the person using the system can determine a focus point, no matter the level of zoom over the temporal space. We present the factors motivating our approach, our evaluation and implementa-tion of this new visualisation which makes it easy for anyone to apply this interface to rich, large-scale datasets with temporal data. http://www.bibsonomy.org/bibtex/2ab5b4e9ac528476f3c959343b6723c3a/neilernstneilernst2007-11-01T22:08:48+01:00requirements evolution information <span style="color:#555555;">Anders <a href="http://www.bibsonomy.org/author/Malmsjö">Malmsj&#246;</a> and Erika <a href="http://www.bibsonomy.org/author/Övelius">&#214;velius</a> </span><em>Systems Research and Behavioral Science</em><em>20(3):243-253</em>(<em>2003</em>)Thu Nov 01 22:08:48 CET 2007Systems Research and Behavioral Science3243-253Factors that induce change in information systems202003requirements evolution information Change cannot effectively be dealt with unless the nature of change is understood. This attitude to handling change is a point of departure for this work. Society changes, and conditions for organizations change. This will have a critical effect on the conditions for information systems. If necessary corrections are not made to the information system due to new conditions based on new demands on the information system, the information system will eventually be a system that no one will ask for. The purpose of this work is to specify the basis for making adequate corrections on information systems due to new conditions. Change factors, which will influence the conditions for an information system, have been identified by analysing studies in the literature where change factors that induce change to organizations are dealt with. A synthesis of change factors on the level of the organization has been transformed to the level of the individual, where the actual interaction between the information system and its context takes place. Furthermore, an empirical study based on approximately 150 interviews considering users' information needs in three Swedish government authorities has been considered in a synthesis. Based on that the following change factors have been found: external factors: type of work performed, working climate, time at disposal, competition, technology, laws and regulations, economy, feedback, environmental demands and expectations, culture, conflicts; internal factors: stress, experience, habits and motivation.Based on the RE2006 paperhttp://www.bibsonomy.org/bibtex/2d036a65fe6c0ba8402fcb2cdb6b7c88d/neilernstneilernst2007-06-08T22:57:46+02:00requirements classification automated information retrieval <span style="color:#555555;">Jane <a href="http://www.bibsonomy.org/author/Cleland-Huang">Cleland-Huang</a> and Raffaella <a href="http://www.bibsonomy.org/author/Settimi">Settimi</a> and Xuchang <a href="http://www.bibsonomy.org/author/Zou">Zou</a> and Peter <a href="http://www.bibsonomy.org/author/Solc">Solc</a> </span><em>Requirements Engineering</em><em>12(2):103--120</em>(<em>2007</em>)Fri Jun 08 22:57:46 CEST 2007Requirements Engineering2103--120Automated classification of non-functional requirements122007requirements classification automated information retrieval This paper describes a technique for automating the detection and classification of non-functional requirements related to properties such as security, performance, and usability. Early detection of non-functional requirements enables them to be incorporated into the initial architectural design instead of being refactored in at a later date. The approach is used to detect and classify stakeholders’ quality concerns across requirements specifications containing scattered and non-categorized requirements, and also across freeform documents such as meeting minutes, interview notes, and memos. This paper first describes the classification algorithm and then evaluates its effectiveness through reporting a series of experiments based on 30 requirements specifications developed as term projects by MS students at DePaul University. A new and iterative approach is then introduced for training or retraining a classifier to detect and classify non-functional requirements (NFR) in datasets dissimilar to the initial training sets. This approach is evaluated against a large free-form requirements document obtained from Siemens Logistics and Automotive Organization. Although to the NFR classifier is unable to detect all of the NFRs, it is useful for supporting an analyst in the error-prone task of manually discovering NFRs, and furthermore can be used to quickly analyse large and complex documents in order to search for NFRs.http://www.bibsonomy.org/bibtex/2444598c2e7ab48d9e6f75fcf58a9c82e/neilernstneilernst2007-01-18T19:15:36+01:00knowledge agent agile information <span style="color:#555555;">Kevin C. <a href="http://www.bibsonomy.org/author/Desouza">Desouza</a> </span><em>August2006. </em>Thu Jan 18 19:15:36 CET 2007August328Agile Information Systems : Conceptualization, Construction, and Management2006knowledge agent agile information This book presents cutting-edge research and thinking on agile information systems. The concept of agile information systems has gained strength over the last 3 years, coming into the MIS world from manufacturing, where agile manufacturing systems has been an important concept for several years now. The idea of agility is powerful: with competition so fierce today and the speed of business so fast, a companys ability to move with their customers and support constant changing business needs is more important than ever. Agile information systems: have the ability to add, remove, modify, or extend functionalities with minimal penalties in terms of time, cost, and effort have the ability to process information in a flexible manner have the ability to accommodate and adjust to the changing needs of the end-users. This is the first book to bring together academic experts, researchers, and practitioners to discuss how companies can create and deploy agile information systems. Contributors are well-regarded academics known to be on the cutting-edge of their fields. The Editor, Kevin Desouza, has organized the chapters under three categories: discussion of the concept of agile information systems (i.e. defining agile information management, its attributes, antecedents, consequences, etc.) discussion of information systems within the context of agility (i.e., descriptions of agile information systems and their attributes, how to build agile information systems, etc.) discussion of organizational management issues in the context of agile information systems (i.e., how to prepare the organization for agile information systems, management of agile information systems for improved organizational performance, etc.)http://www.bibsonomy.org/bibtex/2cc2cfb7552620c3a74237d1a5eb998d4/neilernstneilernst2007-01-02T16:28:49+01:00information tropos agent evolution modeling <span style="color:#555555;">N. <a href="http://www.bibsonomy.org/author/Su">Su</a> and J. <a href="http://www.bibsonomy.org/author/Mylopoulos">Mylopoulos</a> </span><em>International Conference on Conceptual Modeling - ER 2006, </em><em>page296--310. </em>(<em>2006</em>)Tue Jan 02 16:28:49 CET 2007International Conference on Conceptual Modeling - ER 2006296--310Conceptualizing the Co-evolution of Organizations and Information Systems: An Agent-Oriented Perspective2006information tropos agent evolution modeling http://www.bibsonomy.org/bibtex/2800245c0a8b7fd9bd4df074514fd55e5/neilernstneilernst2006-11-08T21:08:12+01:00information system ontology <span style="color:#555555;">Y. <a href="http://www.bibsonomy.org/author/Wand">Wand</a> and R. <a href="http://www.bibsonomy.org/author/Weber">Weber</a> </span><em>IEEE Transactions on Software Engineering</em><em>16(11):1282-1292</em><em>November1990. </em><em> . </em>Wed Nov 08 21:08:12 CET 2006IEEE Transactions on Software EngineeringNovember 111282-1292An ontological model of an information system161990information system ontology An ontological model of an information system that provides precise definitions of fundamental concepts like system, subsystem, and coupling is proposed. This model is used to analyze some static and dynamic properties of an information system and to examine the question of what constitutes a good decomposition of an information system. Some of the major types of information system formalisms that bear on the authors' goals and their respective strengths and weaknesses relative to the model are briefly reviewed. Also articulated are some of the fundamental notions that underlie the model. Those basic notions are then used to examine the nature and some dynamics of system decomposition. The model's predictive power is discussed.sdasdahttp://www.bibsonomy.org/bibtex/2c8b3ab5a8cf88d014ea7f4b546d16e73/neilernstneilernst2006-10-03T23:08:30+02:00knowledge visualization information acquisition representation <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Gaines">Gaines</a> and M. <a href="http://www.bibsonomy.org/author/Shaw">Shaw</a> </span><em>Int. Journal of Human-Computer Studies: Special Issue on Knowledge-Based Hypermedia</em><em>43(3):323--361</em>(<em>1995</em>)Tue Oct 03 23:08:30 CEST 2006Int. Journal of Human-Computer Studies: Special Issue on Knowledge-Based Hypermedia3323--361Concept Maps as Hypermedia Components431995knowledge visualization information acquisition representation Concept mapping has a history of use in many disciplines as a formal or semi-formal diagramming technique. Concept maps have an abstract structure as typed hypergraphs, and computer support for concept mapping can associate visual attributes with node types to provide an attractive and consistent appearance. Computer support can also provide interactive interfaces allowing arbitrary actions to be associated with nodes such as hypermedia links to other maps and documents. This article describes a general concept mapping system that is open architecture for integration with other systems, scriptable to support arbitrary interactions and computations, and cutomizable to emulate many styles of map. The system supports collaborative development of concept maps across local area and wide area networks, and integrates with World-Wide Web in both client helper and server gateway roles. A number of applications are illustrated ranging through education, artificial intelligence, active documents, hypermedia indexing and concurrent engineering. It is proposed that concept maps be regarded as basic components of any hypermedia system, complementing text and images with formal and semi-formal active diagrams.sdasdahttp://www.bibsonomy.org/bibtex/29344d04f5edd5adf4a2b1ac4552f8d6d/neilernstneilernst2006-09-19T21:40:18+02:00query visualization information <span style="color:#555555;">Bongwon <a href="http://www.bibsonomy.org/author/Suh">Suh</a> and Ben <a href="http://www.bibsonomy.org/author/Bederson">Bederson</a> </span><em>University of Maryland, Human Computer Interaction Lab, </em><em>Washington DC, </em>(<em>2001</em>)Tue Sep 19 21:40:18 CEST 2006Washington DCO{ZONE}: {A} {Z}oomable {I}nterface for {N}avigating {O}ntology {I}nformation2001query visualization information Not previously uploadedhttp://www.bibsonomy.org/bibtex/2da7361f241093a273633f29da99f7906/neilernstneilernst2006-09-18T06:26:07+02:00design visualization information <span style="color:#555555;">Diane <a href="http://www.bibsonomy.org/author/Tang">Tang</a> and Chris <a href="http://www.bibsonomy.org/author/Stolte">Stolte</a> and Robert <a href="http://www.bibsonomy.org/author/Bosch">Bosch</a> </span><em>Information Visualization</em><em>3(2):65--79</em>(<em>2004</em>)Mon Sep 18 06:26:07 CEST 2006Information Visualization265--79Design choices when architecting visualizations32004design visualization information In this paper, we focus on some of the key design decisions we faced during the process of architecting a visualization system and present some possible choices, with their associated advantages and disadvantages. We frame this discussion within the context of Rivet, our general visualization environment designed for rapidly prototyping interactive, exploratory visualization tools for analysis. As we designed increasingly sophisticated visualizations, we needed to refine Rivet in order to be able to create these richer displays for larger and more complex data sets. The design decisions we discuss in this paper include the internal data model, data access, semantic meta-data information the visualization can use to create effective visual encodings, the need for data transformations in a visualization tool, modular objects for flexibility, and the tradeoff between simplicity and expressiveness when providing methods for creating visualizations.Not previously uploadedhttp://www.bibsonomy.org/bibtex/218e786ecc368f649fd5c01167c3a7891/neilernstneilernst2006-09-18T06:26:07+02:00information visualization <span style="color:#555555;">Martin <a href="http://www.bibsonomy.org/author/Graham">Graham</a> and Jessie B. <a href="http://www.bibsonomy.org/author/Kennedy">Kennedy</a> and Chris <a href="http://www.bibsonomy.org/author/Hand">Hand</a> </span><em>Advanced Visual Interfaces, </em><em>page41--50. </em><em>Palermo, Italy, </em>(<em>2000</em>)Mon Sep 18 06:26:07 CEST 2006Palermo, ItalyAdvanced Visual Interfaces41--50A Comparison of Set-Based and Graph-Based Visualisations of Overlapping Classification Hierarchies2000information visualization The visualisation of hierarchical information sets has been a staple of Information Visualisation since the field came into being in the early 1990?s. However, at present, support for visualising the correlations between multiple, overlapping sets of hierarchical information has been lacking. This is despite the realisation that for certain tasks this information is as important as the information that forms the individual hierarchies. In response to this, we have produced two early visualisation prototypes, one based on a graph visualisation, and the other on a set-based metaphor, that endeavour to display such information in a readily perceived form to potential users. The science of botanical taxonomy is used as an example of a field where such a visualisation would be useful, and also as a resource for example information sets that the prototypes can act upon. Technical and perceptual issues involved in the design and implementation of both prototypes are discussed. Following this, informal user testing on both prototypes is described, which utilised user observation techniques to elicit qualitative feedback from the taxonomists. These findings are then used to emphasise the shortcomings and advantages of each prototype, and from these probable issues for future prototyping and development are drawn.Not previously uploadedhttp://www.bibsonomy.org/bibtex/2af9d0d4eda5649e389b1a20217ef710d/neilernstneilernst2006-09-18T06:26:07+02:00visualization information <span style="color:#555555;">Ken <a href="http://www.bibsonomy.org/author/Fishkin">Fishkin</a> and Maureen C. <a href="http://www.bibsonomy.org/author/Stone">Stone</a> </span><em>Human Factors in Computing Systems, </em><em>page415--420. </em><em>Denver, Colorado, </em>(<em>1995</em>)Mon Sep 18 06:26:07 CEST 2006Denver, ColoradoHuman Factors in Computing Systems415--420Enhanced Dynamic Queries via Movable Filters1995visualization information Traditional database query systems allow users to constructcomplicated database queries from specialized databaselanguage primitives. While powerful and expressive, suchsystems are not easy to use, especially for browsing orexploring the data. Information visualization systems addressthis problem by providing graphical presentations of the dataand direct manipulation tools for exploring the data. Recentwork in this area has reported the value of dynamic queriescoupled with two-dimensional data representations forprogressive refinement of user queries. However, the queriesgenerated by these systems are limited to conjunctions ofglobal ranges of parameter values. In this paper, we extenddynamic queries by encoding each operand of the query as aMagic Lens filter. Compound queries can be constructed byoverlapping the lenses. Each lens includes a slider and a set ofbuttons to control the value of the filter function and to definethe compostion operation generated by overlapping the lenses.We demonstrate a system that supports multiple simultaneousgeneral real-valued queries on databases with incomplete data,while maintaining the simple visual interface of dynamic querysystemssdasdahttp://www.bibsonomy.org/bibtex/27cbdc856696de5e7aded8c69af9acd8d/neilernstneilernst2006-09-09T19:26:51+02:00user complexity visualization study medical hci information <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Gorman">Gorman</a> and Mary <a href="http://www.bibsonomy.org/author/Lavelle">Lavelle</a> and Lois <a href="http://www.bibsonomy.org/author/Delcambre">Delcambre</a> and David <a href="http://www.bibsonomy.org/author/Maier">Maier</a> </span>(<em>2002</em>)Sat Sep 09 19:26:51 CEST 2006Following experts at work in their own information spaces: {U}sing observational methods to develop tools for the digital library2002user complexity visualization study medical hci information sdasdahttp://www.bibsonomy.org/bibtex/24856010786f9fb313028f7a25c3af020/neilernstneilernst2006-03-24T16:34:33+01:00requirements visualization information knowledge management <span style="color:#555555;">Julia <a href="http://www.bibsonomy.org/author/Ahlers">Ahlers</a> and Henrik <a href="http://www.bibsonomy.org/author/Weimer">Weimer</a> </span><em>Sixth International Conference on Information Visualisation (IV?02), </em><em>page367--371. </em><em>London, UK, </em><em>IEEE, </em>(<em>2002</em>)Fri Mar 24 16:34:33 CET 2006London, UKSixth International Conference on Information Visualisation (IV?02)367--371Challenges in {I}nteractive {V}isualization for {K}nowledge {M}anagement2002requirements visualization information knowledge management Today, knowledge management is widely respected as a promising tool to simultaneously improve product quality, product time to market and overall cost. In practice, one of the key challenges however is to provide mechanisms for the structuring, navigation, retrieval and visualization of knowledge. In this paper, we present and discuss these challenges from a practical perspective and discuss some promising trails to their overcoming.sdasdahttp://www.bibsonomy.org/bibtex/201244fd1d4a03276ce1d3279a52d7375/neilernstneilernst2006-03-24T16:34:33+01:00information protege visualization <span style="color:#555555;">Harith <a href="http://www.bibsonomy.org/author/Alani">Alani</a> </span><em>Knowledge Capture 03 - Workshop on Visualizing Information in Knowledge Engineering, </em><em>page2--7. </em><em>Sanibel Island, FL, </em><em>ACM, </em>(<em>2003</em>)Fri Mar 24 16:34:33 CET 2006Sanibel Island, FLKnowledge Capture 03 - Workshop on Visualizing Information in Knowledge Engineering2--7T{GV}iz{T}ab: {A}n {O}ntology {V}isualisation {E}xtension for {P}rotege2003information protege visualization sdasdahttp://www.bibsonomy.org/bibtex/2e2fdc0b6e98a03a24a5b0e5cab53eaec/neilernstneilernst2006-03-24T16:34:33+01:00hypermedia visualization information <span style="color:#555555;">Keith <a href="http://www.bibsonomy.org/author/Andrews">Andrews</a> </span><em>IEEE Computer Graphics and Applications</em><em>18(4):40--42</em>(<em>1998</em>)Fri Mar 24 16:34:33 CET 2006IEEE Computer Graphics and Applications440--42Visualizing {R}ich, {S}tructured {H}ypermedia181998hypermedia visualization information Very large hypermedia collections, say many thousands of documents and links, are often unmanageable. Users can have considerable difficulty finding particular information and comprehending its extent and scope. Support for explicit hierarchical structure of the collection, such as the Yahoo classification scheme, helps users by suggesting specific paths through the information space. Such hierarchical structure can also be visualized, either independently from, or in association with, the associative hyperlinks between individual documents. Furthermore, the availability of rich metadata fields for collections and individual documents, including attributes such as author, title, size, keywords, and creation date, permits enhancing visualizations by mapping attribute values to aspects of the visual presentation. The author discusses visualization techniques that were developed for the Hyperwave information serversdasdahttp://www.bibsonomy.org/bibtex/24cf9d7e86f72e811fd79ab62ced053da/neilernstneilernst2006-03-24T16:34:33+01:00interface visualization information zoom <span style="color:#555555;">L. <a href="http://www.bibsonomy.org/author/Bartram">Bartram</a> and F. <a href="http://www.bibsonomy.org/author/Henigman">Henigman</a> and J. <a href="http://www.bibsonomy.org/author/Dill">Dill</a> </span><em>IEEE Systems, Man and Cybernetics, </em>(<em>1995</em>)Fri Mar 24 16:34:33 CET 2006IEEE Systems, Man and CyberneticsThe {I}ntelligent {Z}oom as {M}etaphor and {N}avigation {T}ool in a {M}ulti-{S}creen {I}nterface for {N}etwork {C}ontrol {S}ystems1995interface visualization information zoom While most supervisory control system interfaces use multiple screens, they lack support for understanding, navigating and manipulating the underlying information space. We propose the Intelligent Zoom as a network system metaphor which will provide the needed support. We use the zoom as an overview screen, to which additional work screens have been added, but this reintroduces many of the problems which the zoom solved. In this paper we explore the issues in designing a two-screen interface which exploits the strength of the zoom as a monitoring and navigation tool.