@conference {19441,
	title = {A Dive into Online Community Properties},
	booktitle = {CSCW {\textquoteright}11},
	series = {CSCW {\textquoteright}11},
	year = {2011},
	month = {2011///},
	pages = {725 - 728},
	publisher = {ACM},
	organization = {ACM},
	abstract = {As digital communities grow in size their feature sets also grow with them. Different users have different experiences with the same tools and communities. Enterprises and other organizations seeking to leverage these communities need a straightforward way to analyze and compare a variety of salient attributes of these communities. We describe a taxonomy and tool for crowd-sourcing user based evaluations of enterprise relevant attributes of digital communities and present the results of a small scale study on its usefulness and stability across multiple raters.},
	keywords = {enterprise, Online communities, Taxonomy, Visualization},
	isbn = {978-1-4503-0556-3},
	url = {http://doi.acm.org/10.1145/1958824.1958955},
	author = {Wagstrom, Patrick and Martino, Jacquelyn and von Kaenel, Juerg and Marshini Chetty and Thomas, John and Jones, Lauretta}
}
@conference {19633,
	title = {Configuration Reasoning and Ontology For Web},
	booktitle = {IEEE International Conference on Services Computing, 2007. SCC 2007},
	year = {2007},
	month = {2007/07//},
	pages = {387 - 394},
	abstract = {Configuration plays a central role in the deployment and management of Web infrastructures and applications. A configuration often consists of assigning "values" to a pre-defined set of parameters defined in one or more files. Although the task of assigning values to (configuration) parameters looks simple, configuring infrastructures and applications is a very complex process. In this paper we present a framework for defining and analyzing configuration of an Apache server. We define the notion of "configuration space" of an Apache server as a set of possible values that can be assigned to configuration parameters. We then define the notion of an "obstacle" and "forbidden region" in the configuration space that should be avoided. We model configuration space using a logical framework based on OWL (Web ontology language). The obstacles and forbidden regions in the configuration space are modeled as constraints in the logical framework. These obstacles and forbidden regions are essentially "anti-patterns" that a typical installation should avoid. Given an instance of a configuration (that is, a "point" in the configuration space) we then check if the instance is "obstacle free" using logical reasoning.},
	keywords = {Apache server, Application software, configuration management, configuration reasoning, configuration space, File servers, Information security, Internet, knowledge representation languages, logical framework, logical reasoning, ontologies, ontologies (artificial intelligence), Orbital robotics, OWL, path planning, Robot kinematics, Runtime environment, Taxonomy, Web infrastructures management, Web ontology language, Web server},
	author = {Dana Dachman-Soled and Sreedhar, V.C.}
}
@article {12186,
	title = {EcoLens: Integration and interactive visualization of ecological datasets},
	journal = {Ecological Informatics},
	volume = {2},
	year = {2007},
	month = {2007/01/01/},
	pages = {61 - 69},
	abstract = {Complex multi-dimensional datasets are now pervasive in science and elsewhere in society. Better interactive tools are needed for visual data exploration so that patterns in such data may be easily discovered, data can be proofread, and subsets of data can be chosen for algorithmic analysis. In particular, synthetic research such as ecological interaction research demands effective ways to examine multiple datasets. This paper describes our integration of hundreds of food-web datasets into a common platform, and the visualization software, EcoLens, we developed for exploring this information. This publicly-available application and integrated dataset have been useful for our research predicting large complex food webs, and EcoLens is favorably reviewed by other researchers. Many habitats are not well represented in our large database. We confirm earlier results about the small size and lack of taxonomic resolution in early food webs but find that they and a non-food-web source provide trophic information about a large number of taxa absent from more modern studies. Corroboration of Tuesday Lake trophic links across studies is usually possible, but lack of links among congeners may have several explanations. While EcoLens does not provide all kinds of analytical support, its label- and item-based approach is effective at addressing concerns about the comparability and taxonomic resolution of food-web data.},
	keywords = {Data integration, Food webs, Taxonomy, Visualization},
	isbn = {1574-9541},
	doi = {10.1016/j.ecoinf.2007.03.005},
	url = {http://www.sciencedirect.com/science/article/pii/S1574954107000118},
	author = {Parr,Cynthia Sims and Lee,Bongshin and Bederson, Benjamin B.}
}
@conference {17412,
	title = {The eyes have it: a task by data type taxonomy for information visualizations},
	booktitle = {, IEEE Symposium on Visual Languages, 1996. Proceedings},
	year = {1996},
	month = {1996/09/03/6},
	pages = {336 - 343},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {A useful starting point for designing advanced graphical user interfaces is the visual information seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been proposed in recent years. The paper offers a task by data type taxonomy with seven data types (one, two, three dimensional data, temporal and multi dimensional data, and tree and network data) and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts)},
	keywords = {advanced graphical user interface design, Art, data mining, data type taxonomy, data visualisation, Data visualization, Displays, Eyes, Graphical user interfaces, Information filtering, Information filters, information visualizations, multi dimensional data, Multimedia databases, network data, Taxonomy, visual databases, visual information seeking, visual programming},
	isbn = {0-8186-7508-X},
	doi = {10.1109/VL.1996.545307},
	author = {Shneiderman, Ben}
}
@article {17222,
	title = {Image-browser taxonomy and guidelines for designers},
	journal = {IEEE Software},
	volume = {12},
	year = {1995},
	month = {1995/03//},
	pages = {21 - 32},
	abstract = {In many applications users must browse large images. Most designers merely use two one-dimensional scroll bars or ad hoc designs for two-dimensional scroll bars. However, the complexity of two-dimensional browsing suggests that more careful analysis, design, and evaluation might lead to significant improvements. Our exploration of existing 2D browsers has led us to identify many features and a wide variety of tasks performed with the browsers. We introduce an informal specification technique to describe 2D browsers and a task taxonomy, suggest design features and guidelines, and assess existing strategies. We focus on the tools to explore a selected image and so do not cover techniques to browse a series of images or to browse large-image databases},
	keywords = {analysis, Computer Graphics, design, designer guidelines, Equations, Europe, Evaluation, Formal specifications, Graphical user interfaces, Guidelines, IMAGE PROCESSING, image-browser taxonomy, informal specification technique, Laboratories, large image browsing, Layout, Road transportation, selected image exploration, SHAPE, Software design, task taxonomy, Taxonomy, tools, two-dimensional browsing, user interface management systems, visual databases},
	isbn = {0740-7459},
	doi = {10.1109/52.368260},
	author = {Plaisant, Catherine and Carr,D. and Shneiderman, Ben}
}
