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The user of statement-oriented languages is typically an intermediary between the requester of the information and the system Some training is required to use the available facilities and the system The relations and connections which comprise the database and the binding implemented among them have to be understood to allow this approach to be e ective There are often minor syntax and keyword di erences between query languages and similar programming languages These di erences lead to errors and frustrations 10-3-4 Natural Language The speci cation of queries with many parameters tends to be awkward when not supported by forms or formatted display screens It seems then much more desirable to allow free-form English-like input This can also provide the ability to have expressions of much greater complexity than can be obtained using formatted queries We cannot yet expect that computers will understand English, or any other language which is natural to humans, in a general sense The problem of using natural language in queries in a database environment is happily much less di cult than the problem of understanding English in general In a formatted database which relates to some enterprise or problem area the user will operate in a well-de ned context A limited area of discourse makes it possible to parse queries without confusion due to the ambiguities of natural English If natural language queries are being supported a parsing scheme which recognizes the functions of verbs, nouns, adverbs, etc has to be present The schema de nes the data names which are known to the system In general, computer systems distinguish rigorously between attribute names and attribute values, even though both may have overlapping vocabularies The structure of the internal schema representation used in SOCRATE as illustrated in Fig 8-7 shows a dictionary which encompasses both attribute names and values from de ned domains Here it is possible to decide which query terms are values and which ones are attribute names The database dictionary, in addition to the terms used in the schema, should include the words for the basic actions to be performed: FIND, GET, etc, as well as those words that describe common operations: IS, HAS, EQUALS Within limited elds success has been achieved in English-like communication without parsing the query according to grammatical rules The query is tested only for word matches If the general parsing problem is avoided, it is not fair to talk about a natural-language or English query capability The actual e ectiveness of pseudo-natural-language systems has to be carefully evaluated, since the examples presented in the literature provided by the supplier are obviously chosen to convey the strength rather than the weakness of the given approach Pseudo-English can lead to expectations which are eventually frustrated Statements in pseudo-English have to be translated into a form which matches the structure of the database Where the database has a hierarchical structure, one can expect that the query will be decomposed according to rules which generate a hierarchical subtree When a full or partial match is found, the broom of the node found provides data elements which are relevant to the query In network data structures interaction is required Pseudo-English can cope well with the limited path choices, but screen selection will provide faster interaction.

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You ve seen how to make your if statement take action for two possible options, but what if there are more than two choices In that case, you can nest if statements that is, contain one if inside another to handle complex conditions. For example, suppose you need to write a program to evaluate the temperature and specifically to return the following types of information: If the temperature is 32 degrees or lower, the program should warn you about ice on the road. If the temperature is exactly 32 degrees, the program should tell you that there may be water on the road. If the temperature is higher than 32 degrees, the program should assure you that there is no ice. There are many good ways to write this program. Example 5-6 illustrates one approach using nested if statements.

Sec 10-4

using using using using System; System.Collections.Generic; System.Linq; System.Text;

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Most systems today which support natural English translate the statements to a relational query format Relational queries have a high degree of independence from the underlying database structure, unless there are many relations in the database In that case a universal relation view, as de ned in Sec 9-1-2, can provide another intermediary step The relational query is subsequently analyzed to permit e cient execution as described in Secs 9-2-7 and 9-3-2, or it may be mapped into a hierarchical or network system If the semantics of a databases network structure can be exploited for query processing, the apparent intelligence of the natural-language understanding processes can be greatly enhanced

namespace Example_5_6_ _ _ _Nested_if_Statements { class Program { static void Main( )

Example 10-7 shows the capability of a powerful translator from English to a formal propositional language [Kellogg71 ] Example 10-7

{ int temp = 32; if (temp <= 32) { Console.WriteLine("Warning! Ice on road!"); if (temp == 32) { Console.WriteLine("Temp exactly freezing, beware of water."); } else { Console.WriteLine("Watch for black ice! Temp: {0}", temp); } } else { Console.WriteLine("No ice; drive with confidence."); } } } }

RETURN(TOTAL(IMPLICATION(IS large,(IS western,city)),smoggy))

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