Object ID Distribution and Encoding in the Semantic Binary Engine

نویسندگان

  • Naphtali Rishe
  • Armando Barreto
  • Maxim Chekmasov
  • Dmitry Vasilevsky
  • Scott Graham
  • Sonal Sood
  • Ouri Wolfson
چکیده

The semantic binary engine is a database management system built on the principles of the Semantic Binary Data Model (Rishe, 1992). A semantic binary database is a set of facts about objects. Objects belong to categories, are connected by relations, and may have attributes. The concept of an object is at the core of the data model and it is crucial to have efficient algorithms that allow the semantic binary engine to store, retrieve, modify and delete information about objects in the semantic database. In this paper, we discuss the concept of object IDs for object identification and methods for object ID distribution and encoding in the database. Several encoding schemes and their respective efficiencies are discussed: Truncated Identical encoding, End Flag encoding, and Length First encoding.

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تاریخ انتشار 2005