2013 International Conference on Collaboration Technologies and Systems (CTS)

20-24 May 2013

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Displaying Results 1 - 25 of 110
  • CTS 2013 preface

    Publication Year: 2013, Page(s):1 - 3
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  • Committees

    Publication Year: 2013, Page(s):1 - 11
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  • CTS 2013 keynotes

    Publication Year: 2013, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Collaboration across communities

    Publication Year: 2013, Page(s):1 - 2
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  • CTS 2013 tutorials

    Publication Year: 2013, Page(s):1 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (471 KB)

    Provides an abstract for each of the tutorial presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • CTS 2013 various panel and poster sessions [multiple abstracts]

    Publication Year: 2013, Page(s):1 - 17
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  • CTS 2013 sponsors

    Publication Year: 2013, Page(s):1 - 4
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  • Table of contents

    Publication Year: 2013, Page(s):1 - 9
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  • Author index

    Publication Year: 2013, Page(s):1 - 7
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  • [Copyright notice]

    Publication Year: 2013, Page(s): 1
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  • Random acts of kindness: The intelligent and context-aware future of reciprocal altruism and community collaboration

    Publication Year: 2013, Page(s):1 - 12
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3993 KB) | HTML iconHTML

    In today's world of increasing scarcity of resources and economic stagnation, we still see rapid developments in computer science and user experience towards increasingly mobile, intelligent and context-aware computing systems. These innovations represent a new frontier for transformative innovation on a societal level. They hold the promise of breakthroughs in how people can collaborate through d... View full abstract»

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  • From renaissance scholars to renaissance communities: Learning and education in the 21st century

    Publication Year: 2013, Page(s):13 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1881 KB) | HTML iconHTML

    The understanding, framing, and support of learning, working, communicating, and collaborating is media-dependent: tools, materials, and social arrangements have always been involved in defining and conceptualizing these activities. Historically the emphasis has been to educate and support individual “Renaissance scholars”. In today's world, most of the significant problems are syste... View full abstract»

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  • Comparative performance analysis of a Big Data NORA problem on a variety of architectures

    Publication Year: 2013, Page(s):22 - 34
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (923 KB) | HTML iconHTML

    Non Obvious Relationship Analysis (NORA) is one of the most stressing classes of Big Data Analytics problems. This paper proposes a reference NORA problem that is representative of real problems, and can rationally scale to very large sizes. It then develops a highly concurrent implementation that can run on large systems. Each step of this implementation is sized in terms of how much of four diff... View full abstract»

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  • Synergizing people, process, and technology to motivate knowledge sharing and collaboration Industry case study

    Publication Year: 2013, Page(s):35 - 39
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (545 KB) | HTML iconHTML

    Intel is the world's largest Semiconductor chip manufacturing company with over 95,000 employees and 164 sites in 63 countries across the globe. Not only does Intel's IT group keep Intel's business operations running, it also contributes to Intel's business transformation via user experience research and architecture path finding for leading edge technologies. IT sees social computing as a strateg... View full abstract»

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  • Big data, deep data, and the effect of system architectures on performance

    Publication Year: 2013, Page(s):40 - 41
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (97 KB) | HTML iconHTML

    Summary form only given. “Big Data” traditionally refers to some combination of high volume of data, high velocity of change, and/or wide variety and complexity of the underlying data. Solving such problems has evolved into using paradigms like MapReduce on large clusters of compute nodes. More recently, a growing number of “Deep Data” problems have arisen where it is t... View full abstract»

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  • Big data: A review

    Publication Year: 2013, Page(s):42 - 47
    Cited by:  Papers (102)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (695 KB) | HTML iconHTML

    Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining ric... View full abstract»

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  • Addressing big data issues in Scientific Data Infrastructure

    Publication Year: 2013, Page(s):48 - 55
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1054 KB) | HTML iconHTML

    Big Data are becoming a new technology focus both in science and in industry. This paper discusses the challenges that are imposed by Big Data on the modern and future Scientific Data Infrastructure (SDI). The paper discusses a nature and definition of Big Data that include such features as Volume, Velocity, Variety, Value and Veracity. The paper refers to different scientific communities to defin... View full abstract»

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  • A disk based stream oriented approach for storing big data

    Publication Year: 2013, Page(s):56 - 64
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (474 KB) | HTML iconHTML

    This paper proposes an extension to the generally accepted definition of Big Data and from this extended definition proposes a specialized database design for storing high throughput data from low-latency sources. It discusses the challenges a financial company faces with regards to processing and storing data and how existing database technologies are unsuitable for this niche task. A prototype d... View full abstract»

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  • Big data, little decisions: Tightening the loop between data crunching and human expertise

    Publication Year: 2013, Page(s):65 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    This presentation is a case study examining how LexisNexis uses scaled active learning on the HPCC Systems environment to focus manual topical annotations on critical documents pulled from a large corpus. The active learning system uses natural language processing and machine learning techniques to identify and present “next best” training set candidates to legal editors, combining m... View full abstract»

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  • HPCC systems and opera solutions deliver a comprehensive suite of tools to support Travel Agents identify and capture new-sell/cross-sell/up-sell opportunities A case study

    Publication Year: 2013, Page(s):67 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2695 KB) | HTML iconHTML

    Summary form only given. New-sell/cross-sell/up-sell opportunity identification and capture for Travel Agents. Volume and velocity are two of the three V's that define Big Data [1]. This is especially true in the global travel industry, where billions of messages are being passed between travel agents and travel providers on a continual basis, arriving at rates of hundreds/thousands per second (th... View full abstract»

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  • Enabling technology for Collaborative Semantic Search (CSS)

    Publication Year: 2013, Page(s):69 - 75
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (883 KB) | HTML iconHTML

    Intelligence analysts are slowly drowning in a flood of human and computer-generated information. Modern semantic search engines such as KBSI's Collaborative Semantic Search (CSS) technology application may provide significant leverage to address this problem by empowering analysts to express their information needs. Because analysts seldom work in isolation, a shared understanding of analysis goa... View full abstract»

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  • Runtime generation of data processors on local user computers

    Publication Year: 2013, Page(s):76 - 83
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (701 KB) | HTML iconHTML

    Data interoperability in scientific research is a major challenge. Heterogeneous data file formats, data structure formats, and data storage schemas are prevalent in the scientific research community. This poses a great challenge for collaboration between researchers due to data interoperability issues. In our prior work, we have addressed these challenges by proposing a web-enabled approach for g... View full abstract»

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  • Social network analysis as an augmentation of qualitative research

    Publication Year: 2013, Page(s):84 - 85
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (338 KB) | HTML iconHTML

    As a primarily qualitative researcher, relying heavily on ethnographic and interview techniques for data collection and Grounded Theory as a mode of analysis, colleagues are often surprised that social network analysis (SNA) is a staple of my research process. The end products of qualitative work rarely show network statistics or visualizations generated along the way, and yet the research would b... View full abstract»

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  • Using public social media to find answers to questions

    Publication Year: 2013, Page(s):86 - 88
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (644 KB) | HTML iconHTML

    On some social media platforms, such as Twitter, Youtube, Pinterest, and tumblr, much of the content generated by users is publicly accessible and communication can be easily initiated between strangers who have never previously communicated before. The communities that have risen up around these platforms, particularly on Twitter, can also be inclusive and supportive of interactions between stran... View full abstract»

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  • NodeXL: Simple network analysis for social media

    Publication Year: 2013, Page(s):89 - 93
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3571 KB) | HTML iconHTML

    NodeXL (http://nodexl.codeplex.com/) is an application that simplifies basic network analysis tasks and supports analysis of social media networks. Using the widely familiar framework of a spreadsheet, NodeXL integrates the features needed to collect, store, analyze, visualize and publish network datasets. The tool connects to a wide range of data sources and to other SNA packages through GraphML ... View full abstract»

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