The production and use of semantically rich accounting reports on the Internet: XML and XBRL

Abstract

Most major corporations in the U.S. (and a growing number of companies around the world) are reporting some level of financial information on their Web sites. However, it is not clear that the stakeholders are fully satisfied with this Web-based data. The time and effort allocated to the mechanics of Web retrieval are actually increasing because of the difficulty of finding pages and specific data within the enormity of the public Web (over 1 billion pages) or of many corporate intranets. One way to deal with this vast information source would be to automate the Web search mechanics by developing and using intelligent software agents. However, developing these agents in the current Web environment is very problematic. Three factors are preconditions for effective utilization of the Web. First, appropriate metadata representation of financial reporting information on the Web is required that could improve the accuracy of searches (the resource discovery problem). Second, accounting data points within Web pages should be able to be reliably parsed (the attribute recognition problem). Third, standard mechanisms are required that will encourage or require corporations to report in a consistent fashion. The reality of the Web is that it falls far short of a reliable communication medium for accounting and financial information on all three of these factors. The eXtensible Markup Language (XML) provides a method to tag financial information to greatly improve the automation of information location and retrieval, and provides technical solutions to the resource discovery and attribute recognition problems. However, if every company were free to develop its own labels for its XML tags, then the searching for financial information would be only marginally improved. The recent development by a consortium lead by the American Institute of CPAs (AICPA) of the so-called “eXtensible Business Reporting Language” (XBRL) is an initiative to develop an XML-based Web-based business reporting specification. The widespread adoption of XBRL would mean that both humans and intelligent software agents could operate on financial information disseminated on the Web with a high degree of accuracy and reliability. XBRL provides rich research opportunities, including new taxonomies, database accounting, financial statement assurance, intelligent agents, human/computer interfaces, standard development process, adoption incentives, global adoption, and formal ontologies.