On representation schemes for promising electronically
Decision Support Systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Data on the Web: from relations to semistructured data and XML
Data on the Web: from relations to semistructured data and XML
On Lean Messaging with Unfolding and Unwrapping for Electronic Commerce
International Journal of Electronic Commerce
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As technology and society continue to evolve, the size of the corpus of government policies and procedures continues to more than keep pace. The U.S. Federal Tax Code today consumes over 2.8 million words or 6000 pages. There are more than 20,000 cross-references both within the code itself and to external regulations. Navigating the sea of information is a daunting task for the IRS let alone a well-intentioned tax payer, or policy-maker seeking to eliminate redundancies, inconsistencies, or loopholes. While tools for tasks such as compliance checking or query answering have long held promise, automated reasoning, however intelligent, needs something to reason upon, a formalized knowledge base of some kind. In other domains people may be the primary targets of knowledge engineering; in the policy realm, much of the requisite knowledge resides in legal and regulatory documents.