HSPD Summary:

The HSPD suffers from the various limitations inherent in the use
of a DBMS for information management.  Relational databases are
structured with a presumption that the user has a knowledge of
the language of the subject field and a grasp of the set
intersection techniques that are required to effectively query
the database and retrieve desired information.  Without the
specification of appropriate query sets using valid key words, a
DBMS system such as dBASE has little practical utility.  The
dBASE software is capable of synonym recognition which can
enhance information retrieval performance.  However, a search
operation will ignore data fields that may closely match search
criteria but do not include the key word specified in the user
query.  

A significant handicap represented by this method of data
retrieval is that dBASE and other DBMS software do not
communicate to the user a sense of the structural relationships
between the information fields contained in the knowledge base. 
A skillful dBASE user can retrieve information that matches
search criteria, and yet not only fail to access all the data
relevant to the search (if the system ignores close fits), but
also fail to comprehend the patterns of information that are the
foundation of knowledge.  This failing of DBMS applications can
be attributed to the fact that the system is structured according
to individual words rather than ideas.  

<dfile12>   Evaluation Criteria
<dfile13>   HSPD
<dfile22>   HSPD: Attributes 1.
<dfile24>   HSPD: Limitations 1.
<dfile33>   HSPD: Why DBMS?
<dfile34>   HSPD: Required Capabilities
<dfile35>   HSPD: Utility
<dfile36>   HSPD: NPS Use