QuoteRef: kentW1_1985

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references i-l
database record
database entities
existence of database entities
information retrieval by relevance
attribute-value pairs as information
information as facts
database schema


Kent, W., "The realities of Data: Basic properties of data reconsidered", in Steel, T.B., Jr., Meersman, R. (ed.), Database Semantics (DS-1), Proceedings IFIP WG 2.6, Elsevier Science Publishers B.V. (North-Holland), January 1985 (c) 1986, pp. 175-188. Google

176 ;;Quote: data records are entities; inserted, deleted, retrieved, identifies, typed
176 ;;Quote: most data models use data records for real entities and assume that other things are not real entities
177 ;;Quote: there are no objective criteria for the entities identified by data analysis; boundary between entity and non-entity is highly subjective
177 ;;Quote: "important" is subjective and a continuous scale; different things are important to different people in different contexts at different times
177 ;;Quote: the target of most information can be replaced by any of the things involved in the information; e.g., employees in a department
180 ;;Quote: some records correspond one-to-one with entities; the entity exists only if the record exists; referential integrity and primary keys
181 ;;Quote: a field in a record contains a character string that represents something in the real world; e.g., a color
181+;;Quote: any of the things in the real world can be represented by different strings in different fields
181 ;;Quote: a record represents an aggregate of facts, i.e., connections between fields
181+;;Quote: information is expressed by the connections among fields; e.g., a money field is connected to the salary of an employee
181 ;;Quote: describe fields of a data record by entity type, representation type, and relationship to other fields; what, how, and why
183 ;;Quote: a record stores multiple, single-valued facts about the primary key, or it stores a multi-valued/n-ary fact
183 ;;Quote: in fact-based data analysis, identify single-valued facts and multi-valued facts; don't distinguish entities, relationships, or attributes
185 ;;Quote: a data dictionary documents each field by what it is, how it's represented, and why it's there; ties conceptual schema to database

Related Topics up

ThesaHelp: references i-l (342 items)
Topic: database record (22 items)
Topic: database entities (12 items)
Topic: existence of database entities (19 items)
Topic: information retrieval by relevance (33 items)
Group: information   (46 topics, 1160 quotes)
Topic: attribute-value pairs as information (57 items)
Topic: information as facts (21 items)
Topic: database schema (29 items)

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