Search Engines for Extracting, Managing, and Analyzing Knowledge from the SEC Filings in XBRL and Be - PowerPoint PPT Presentation

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Search Engines for Extracting, Managing, and Analyzing Knowledge from the SEC Filings in XBRL and Be

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Title: Search Engines for Extracting, Managing, and Analyzing Knowledge from the SEC Filings in XBRL and Be


1
Search Engines for Extracting, Managing, and
Analyzing Knowledge from the SEC Filings in XBRL
and Beyond
  • Rajendra P. SrivastavaErnst Young Professor
    and DirectorEY Center for Auditing Research
    Adv. Technology
  • 13th World Continuous Auditing Reporting
  • Faculty of Economics, University of
  • Via Voltapaletto, 11, Ferrara (Italy),
  • June 15-16, 2007

2
Outline
  • Background of FRAANK (Financial Reporting and
    Auditing Agent with Net Knowledge)
  • Current Features of FRAANK 2.1
  • Knowledge Extraction by FRAANK from SEC Filings
  • Role of FRAANK 2.1 in Creating Empirically Based
    Industry Specific Taxonomies
  • Live Demonstration
  • SEEK_INF (Search Engine for Extracting Knowledge
    from Industrial Filings)

3
Background of FRAANK
  • Spring 1996 FRAANK was born to
  • Capture 10Ks and 10Qs from SEC Edgar database
  • Parse BS, IS and CF to create electronic
    Documents
  • 2001 Adopted to XBRL Taxonomy 1.0
  • 2002-06 Text Parsing, Tagging, and Display
  • Items on 10K and Footnotes to FS
  • Auditors Report
  • Intelligence to find Auditor, Place, Date, and
    Type
  • 2005-07 Moved to XBRL Taxonomy 2.1
  • 2007 FRAANK 2.1

4
Academic Publications on FRAANK
(http//www.eycarat.ku.edu)
  • 2000 Nelson, Kogan, Srivastava, Vasarhelyi, Lu.
    Virtual Auditing Agents The EDGAR Agent
    Challenge, Decision Support Systems (28) 3
    241-253.
  • 2002 Bovee, Ettredge, Srivastava, Vasarhelyi.
    Does the Year 2000 XBRL Taxonomy Accommodate
    Current Business Financial Reporting Practice?
    Journal of Information Systems, Vol. 16, No. 2,
    Fall 165-182.
  • 2005 Bovee, Kogan, Srivastava, Vasarhelyi,
    Nelson. Financial Reporting and Auditing Agent
    with Net Knowledge (FRAANK) and eXtensible
    Business Reporting Language (XBRL). Journal of
    Information Systems, Vol. 19, No. 1 (Spring) pp.
    19-41.

5
Current Features of FRAANK 2.1
  • Uses XBRL 2.1 Taxonomy (Calculation Tree)
  • Parses BS, IS, CF in 10Ks and 10Qs and tags them
    using XBRL 2.1
  • Creates KU_Tags for items not found in XBRL 2.1
  • Creates a database of line items identified as
    not having XBRL 2.1 tags
  • Parses Non-Financial Information in 10K
  • Items, Footnotes, Audit Report, SOX 404 Report
  • Identifies auditor, place, date, type, and tags
    using XBRL 2.1
  • Identifies Effective In-effective SOX 404 Report

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  • Questions!
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