Textual Database

A strict separation of these three types of databases is difficult hence most databases contain a mixture of data types. Therefore the classification given here is based on the predominating data type. For example, the major emphasis of a patent database is on hterature, whereas it also comprises numeric and structural data. Another type is the integrated database, which provides a supplement of additional information, especially bibhographic data. Thus, different database types are merged, a textual database and one or more factual databases. 

Besides such textual databases that provide bibhographic information, sequence databases have attained an even more important role in biochemistry. Sequence databases are composed of amino add sequences of peptides or proteins as well as nudeotide sequences of nudeic acids. The 20 amino adds are mostly represented by a three-letter code or by one letter according to the biochemical conventions) the four nudeic adds are defined by a one-letter code. Thus the composition of a biochemical compound is searchable by text retrieval methods. 

The project "Deutsches Patent- und Fachlnformatlons-system" is an attempt to make all the Important information elements contained in a patent document accessible via an on-line databank service. This means all information in a document has to be transformed in such a way that it can be transmitted through public networks using ASCII 7-blt code. Textual databases present no difficulties in transferring data, also with an extended character set, because of a great variety of solutions offered to get the Information through the networks to the end-user. Even chemical structures up to a certain complexity can be represented by special use of given ASCII-characters and symbols. This was one of the reasons that on-line Information systems based on chemical sciences could provide the users with almost all the information contained in a document. 

Previous studies at Sheffield have demonstrated the efficiency of the DAP for nearest neighbour searching in textual databases and we have thus investigated its use for the implementation of the Jarvis-Patrick method . The efficiency of the DAP for non-numeric processing arises in large part from the bit-serial nature of the PE ALUs, which permits very high computational speeds if the processing... 

The internal structure of a full-text database is significantly different from that of other types such as relational (row/column/table-oriented) or object-oriented databases. The domain of a full-text database is the indexing and storage of large amounts of textual data. Indexes based on words occurring in the text corpus, proximity operators to locate phrases and close spatial relationships between words, and probabilistic thesauri to define word, concept, and content clusters are important characteristics of this type of database. See Bibliographic Database Object-oriented Database Object-Relational Database Relational Database and Textual Database. 

A database which contains numerical data, namely experimental values and/or calculated values. A statistical database, containing statistically processed data, is a type of numerical database. Numerical databases are normally stored in a field-oriented fashion in database tables. See Textual Database. 

A database which is either a full-text database or a reference database. A full-text database contains the whole information of a document, whereas a reference database often confines itself to bibliographic information and/or abstracts. CAS is a well known textual database in chemistry. See Numerical Database. 

Research project databases include information on abstracts and reports categorized by research projects. Such factual databases allow one to search for projects in various fields of science and technology wdth numeric and textual queries. 

Provides access to textual and numeric data in its databases for information retrieval and reporting needs. Features word proximity and phrase searching thesaurus and index. 

In this work the cases in the database are stored on their own MS-Excel worksheets. The stored cases are copied on a retrieval calculation data sheet during the retrieval phase. All retrieval parameters in this application are textual string parameters. Thus the comparison between casebase and input problem is simple. When the input value is equal with the case value, the distance is 1, otherwise the distance is 0. The weighted suitability of parameters is then calculated by Equation 9. The weighting factors are introduced by the user. Overall suitability is calculated by Equation 10. Cases are ranked according to their overall suitability and the five nearest cases are shown for the user on an output worksheet. 

Chemscape Server is a communication device that allows a Web server to communicate with ISIS/Host for performing registration, searching, and browsing across a variety of chemical, textual, and relational database types. 

The THECOMAC database contains the stability constant, enthalpy, and entropy values for the complexations of the alkaline and alkaline earth metal cations with cyclic polyethers in water and organic solvents, and includes more than 3,500 records. Each record contains 22 textual and digital fields and 2D chemical structures of ligands. The database includes thermodynamic values for 330 cyclic polyethers containing oxygen coordination centers only.41... 

Solvent extraction Database (SXD) software has been developed by A. Varnek et al.51 Each record of SXD corresponds to one extraction equilibrium and contains 90 fields to store bibliographic information, system descriptions, chemical structures of extractants, and thermodynamic and kinetic data in textual, numerical, and graphical forms. A search can be performed by any field including 2D structure. SXD tools allow the user to compare plots from different records and to select a subset of data according to user-defined constraints (identical metal, content of aqueous or organic phases, etc.). This database, containing about 3,500 records, is available on the INTERNET (http //infochim.u-strasbg.fr/sxd). 

Besides chemical structure databases, both proprietary and public databases contain a wealth of numerical and textual information pertinent to chemistry. 

Welcome to O fflLl, Online Mendelian Inheritance in Man. This database is a catalog of human genes and genetic disorders authored and edited by Dr. Victor A. McKusick and his colleagues at Johns Hopkins and elsewhere, and developed for the World Wide Web by NCBL the National Center for Biotechnology Information. The database contains textual information and references. It also contains copious links to MEDLINE and sequence records in the Entrez system, and links to additional related resources atNCBI and elsewhere. 

Textual descriptions of the exposure assessment results might be useful if statements about the mean, the central tendency estimate (median) or a selected quantile of the exposure distribution are given without a description of uncertainty. However, each of the point estimates mentioned will have a different level of uncertainty with respect to model assumptions, database and calculation method. A typical wording to describe results might be, for example ... 

In addition to handling large amounts of data generated automatically, the LIMS database must handle data from a number of data sources Instruments, terminals, personal work stations, and other computers. Not only does data exist in several forms but textual information such as header records, comments, reports and other documents must be accommodated. There exist well-defined relationships among the various data types in the laboratory. The dataset relationships must be carefully considered in designing the database. All data in the LIMS must be accessible by key fields such as sample number, method, instrument I.D. or laboratory. It is also necessary to support access of the stored data by ad hoc queries to extract information for correlations, summaries, retrospective studies and special reports. 

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