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  • e-book 
    The Discipline of Organizing: 4th Professional Edition

    The Discipline of Organizing: 4th Professional Edition

    We organize things, we organize information, we organize information about things, and we organize information about information. But even though “organizing” is a fundamental and ubiquitous challenge, when we compare these activities their contrasts are more apparent than their commonalities. We propose to unify many perspectives about organizing with the concept of an Organizing System, defined as an intentionally arranged collection of resources and the interactions they support. Every Organizing System involves a collection of resources, a choice of properties or principles used to describe and arrange resources, and ways of supporting interactions with resources. By comparing and contrasting how these activities take place in different contexts and domains, we can identify patterns of organizing. We can create a discipline of organizing in a disciplined way. The 4th edition builds a bridge between organizing and data science. It reframes descriptive statistics as organizing techniques, expands the treatment of classification to include computational methods, and incorporates many new examples of data-driven resource selection, organization, maintenance, and personalization. It introduces a new “data science” category of discipline-specific content, both in the chapter text and in endnotes, marked with [DS] in editions that contain endnotes.

    Subjects:
    Industrial and Systems Engineering
    Keywords:
    Metadata Information resources management Information organization Textbooks
    Resource Type:
    e-book
     
  • Presentation 
    Industry 1: Managing Richly Connected Information

    Industry 1: Managing Richly Connected Information

    This video was recorded at 5th International Semantic Web Conference (ISWC), Athens 2006. We examine research issues that arise when most information items in an enterprise can be linked to each other via short paths, implicit or explicit. In such high-recall settings, the treatment of metadata management, indexing and ranking needs new attention. Additional issues arise as to the best way to handle updates to the connections, whether on or off the transaction path. Even traditional techniques, such as classification and clustering of documents, which stand to benefit from the extra information provided by the so-called network of meaning, need to be reexamined for how best to exploit the extra information. The talk ends with an examination of some promising avenues for using high recall as a driver for the next wave of business process automation

    Subjects:
    Computing, Data Science and Artificial Intelligence and Management
    Keywords:
    Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER