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Intelligent Systems, IEEE

Issue 1 • Date Jan.-Feb. 2010

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Displaying Results 1 - 16 of 16
  • [Front cover]

    Publication Year: 2010 , Page(s): c1
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  • [Front cover]

    Publication Year: 2010 , Page(s): c2
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  • Contents

    Publication Year: 2010 , Page(s): 1
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  • A Tiger Jump: From Special Issues to Special Interest Groups?

    Publication Year: 2010 , Page(s): 2 - 3
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  • IEEE Intelligent Systems Commends Volunteer Reviewers

    Publication Year: 2010 , Page(s): 4 - 5
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  • In The News

    Publication Year: 2010 , Page(s): 6 - 10
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  • Introduction to Mobile Information Retrieval

    Publication Year: 2010 , Page(s): 11 - 15
    Cited by:  Papers (2)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1394 KB) |  | HTML iconHTML  

    The new frontier of mobile information retrieval will combine context awareness and content adaptation. View full abstract»

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  • Music Recommendation Using Content and Context Information Mining

    Publication Year: 2010 , Page(s): 16 - 26
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1544 KB) |  | HTML iconHTML  

    Mobile devices such as smart phones are becoming popular, and realtime access to multimedia data in different environments is getting easier. With properly equipped communication services, users can easily obtain the widely distributed videos, music, and documents they want. Because of its usability and capacity requirements, music is more popular than other types of multimedia data. Documents and videos are difficult to view on mobile phones' small screens, and videos' large data size results in high overhead for retrieval. But advanced compression techniques for music reduce the required storage space significantly and make the circulation of music data easier. This means that users can capture their favorite music directly from the Web without going to music stores. Accordingly, helping users find music they like in a large archive has become an attractive but challenging issue over the past few years. View full abstract»

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  • Personal Information Access Using Proactive Search and Mobile Hypertext

    Publication Year: 2010 , Page(s): 27 - 36
    Cited by:  Papers (1)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3490 KB) |  | HTML iconHTML  

    A new framework combining proactive search with mobile hypertext lets mobile phone users avoid text entry and tailors search results to suit the context. Mobile phones and devices are evolving steadily, adding increasingly advanced capabilities. Today's smart phones, for example, have PClike functionality with complete operating system software that provides a platform for developers. Even phones without an operating system often have such functions as email, Internet navigation, music players, e-book readers, and GPS, in addition to the usual text messaging (short message service, SMS), camera, and phone. So now, besides holding telephone numbers and text messages, mobile phones also allow access to video clips, calendars, task lists, notes, and so on. View full abstract»

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  • The Context-Aware Browser

    Publication Year: 2010 , Page(s): 38 - 47
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1119 KB) |  | HTML iconHTML  

    The typical scenario of a user seeking information on the Web requires significant effort to get the desired information. In a world where information is essential, it can be crucial for users to get the desired information quickly even when they are away from their desktop computers. The Context-Aware Browser for mobile devices senses the surrounding environment, infers the user's current context, and proactively searches for and activates relevant Web documents and applications. View full abstract»

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  • A Comparative Study of Mobile-Based Landmark Recognition Techniques

    Publication Year: 2010 , Page(s): 48 - 57
    Cited by:  Papers (15)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (716 KB) |  | HTML iconHTML  

    Mobile-based landmark recognition is becoming increasingly appealing due to the proliferation of mobile devices coupled with improving processing techniques, imaging capability, and networking infrastructure. This article provides a general overview of existing mobile-based and nonmobile-based landmark recognition systems and their differences. We discuss content and context analysis and compare landmark classification methods. We also present the experimental results of our own mobile landmark recognition evaluations based on content analysis, context analysis, and integrated content-context analysis. View full abstract»

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  • Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base

    Publication Year: 2010 , Page(s): 58 - 67
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1659 KB) |  | HTML iconHTML  

    Digitizing a historical document using ontologies and natural language processing techniques can transform it from arcane text to a useful knowledge base.The Handbook on Architecture (Handbuch der Architektur) was perhaps one of the most ambitious publishing projects ever. Like a 19thcentury Wikipedia, it attempted nothing less than a full account of all architectural knowledge available at the time, both past and present. It covers topics from Greek temples to contemporary hospitals and universities; from the design of individual construction elements such as window sills to large-scale town planning; from physics to design; from planning to construction. It also discusses architectural history and styles and a multitude of other topics, such as building conception, statics, and interior design.Not surprisingly, this project took longer than planned. The encyclopedia's first volume was partly published in 1880, and over the next 63 years more than 100 architects worked on what would become more than 140 individual publications with over 25,000 pages. One important insight of our work is that targeted text analysis support, already available today, can easily be integrated into common desktop tools to support users for their task at hand. While NLP techniques are far from perfect or comprehensive, they can already deliver knowledge discovery support that goes significantly beyond the currently used approach of full-text search and information retrieval. View full abstract»

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  • Trends & Controversies

    Publication Year: 2010 , Page(s): 68 - 83
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1050 KB) |  | HTML iconHTML  

    Business Intelligence (BI), a term coined in 1989, has gained much traction in the IT practitioner community and academia over the past two decades. According to Wikipedia, BI refers to the "skills, technologies, applications, and practices used to support decision making" (http://en.wikipedia.org/wiki/Business_intelligence). On the basis of a survey of 1,400 CEOs, the Gartner Group projected BI revenue to reach US$3 billion in 2009. Through BI initiatives, businesses are gaining insights from the growing volumes of transaction, product, inventory, customer, competitor, and industry data generated by enterprise-wide applications such as enterprise resource planning (ERP), customer relationship management (CRM), supply-chain management (SCM), knowledge management, collaborative computing, Web analytics, and so on. The same Gartner survey also showed that BI surpassed security as the top business IT priority in 2006. View full abstract»

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  • Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge

    Publication Year: 2010 , Page(s): 84 - 88
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (575 KB) |  | HTML iconHTML  

    In this article we present our experience developing QuestSemantics (QS), an agent-based platform that uses fine-grained business knowledge to support semiautomatic discovery, annotation, filtering and retrieval of information resources on the Internet and in intranets. We designed QS to maximize the separation between the different types of knowledge represented-domain versus task-specific knowledge, and application versus generic knowledge. The goal of this separation is to achieve reusability and easy customization of the platform's various agents, thus allowing semantics based search in various task and domain scenarios. View full abstract»

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  • [Advertisement - Back cover]

    Publication Year: 2010 , Page(s): c3
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  • [Advertisement - Back cover]

    Publication Year: 2010 , Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

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Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona