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We will review how appropriate constellations of data can be obtained from the database structures presented in the preceding chapters Three types of database structure su ce to distinguish databases from the point of view of information retrieval Relational data structures Hierarchical data structures Network data structures Each of the model structures may be implemented in various ways In fact, the same software system might be con gured to provide any of the three types In a relational structure the data are stored in tabular form Operations combine and select from tuples, using fetch arguments selected from the query and from intermediate tuples All binding occurs at query-processing time The result is presented as a relation in the user s workspace In a hierarchical structure the search arguments de ne currency indicators Fetch arguments de ne entry points into the database Get-next operations are con ned to the hierarchical structure The result presented is a broom or a record composed of one segment of each segment type Frequently network database structures are used to present hierarchically structured results In a network structure there are nearly arbitrary connections which bind data records to successor and predecessor records The retrieval process enters the structure using a fetch argument and then navigates through the structure using get-next, get-owner, or get-member operations, collecting data values on the way These data values are delivered incrementally to the query-processing process, and are used to control the progress of the query The result is not made available as a unit, since its structure is not predictable Figure 10-1 sketches the alternatives

Question 4-7. Describe the difference between the prefix and postfix operators. Question 4-8. Let x = 25 and y = 5. What do these expressions evaluate to

The manner in which the database systems present the results will obviously in uence how the user perceives the information-retrieval process It is still possible to interpose programs between the user and the primary database-manipulation facilities which put a di erent facade on the database structure Bibliographic Data

(x (x (x (x >= y) >= y * 5) == y) = y)

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A short note on a class of information-retrieval systems which do not involve data-processing is in order These are the bibliographic systems which maintain data about collections of publications They typically have records composed of authors, keywords, abstract, and a reference Figure 4-21 presented the internal structure of one such system The data stored is preprocessed and a single record will have information value, if correctly retrieved, without further processing The records may be complex: each element can contain multiple entries and require multiple indexes or linkages for access The content may be full text or just abstracted material and references to more detailed data The search arguments are also often complex Bibliographic systems are frequently and correctly called information-storage systems, since what they contain is already potential information The contents is selected, prepared, and classi ed with the expectation of eventual retrieval and use The entities stored are complete and independent Example 10-1

(x >= !(x > !(x < ((x > ((x > y) y) y) y) y) && (y <= x) && (x > y) || !(x < y)) && (x > y) && ((y < x) || (x > y))) && (x == y)

253 Binary versus Ternary Relationships *

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