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VII Other Topics
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22 Advanced Querying and Information Retrieval
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225 Information-Retrieval Systems
The eld of information retrieval has developed in parallel with the eld of databases In the traditional model used in the eld of information retrieval, information is organized into documents, and it is assumed that there is a large number of documents Data contained in documents is unstructured, without any associated schema The process of information retrieval consists of locating relevant documents, on the basis of user input, such as keywords or example documents The Web provides a convenient way to get to, and to interact with, information sources across the Internet However, a persistent problem facing the Web is the explosion of stored information, with little guidance to help the user to locate what is interesting Information retrieval has played a critical role in making the Web a productive and useful tool, especially for researchers Traditional examples of information-retrieval systems are online library catalogs and online document-management systems such as those that store newspaper articles The data in such systems are organized as a collection of documents; a newspaper article or a catalog entry (in a library catalog) are examples of documents In the context of the Web, usually each HTML page is considered to be a document A user of such a system may want to retrieve a particular document or a particular class of documents The intended documents are typically described by a set of keywords for example, the keywords database system may be used to locate books on database systems, and the keywords stock and scandal may be used to locate articles about stock-market scandals Documents have associated with them a set of keywords, and documents whose keywords contain those supplied by the user are retrieved Keyword-based information retrieval can be used not only for retrieving textual data, but also for retrieving other types of data, such as video or audio data, that have descriptive keywords associated with them For instance, a video movie may have associated with it keywords such as its title, director, actors, type, and so on There are several differences between this model and the models used in traditional database systems Database systems deal with several operations that are not addressed in information-retrieval systems For instance, database systems deal with updates and with the associated transactional requirements of concurrency control and durability These matters are viewed as less important in information systems Similarly, database systems deal with structured information organized with relatively complex data models (such as the relational model or objectoriented data models), whereas information-retrieval systems traditionally have used a much simpler model, where the information in the database is organized simply as a collection of unstructured documents Information-retrieval systems deal with several issues that have not been addressed adequately in database systems For instance, the eld of information retrieval has dealt with the problems of managing unstructured documents, such as approximate searching by keywords, and of ranking of documents on estimated degree of relevance of the documents to the query
Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
VII Other Topics
22 Advanced Querying and Information Retrieval
The McGraw Hill Companies, 2001
Information-Retrieval Systems
2251 Keyword Search
Information-retrieval systems typically allow query expressions formed using keywords and the logical connectives and, or, and not For example, a user could ask for all documents that contain the keywords motorcycle and maintenance, or documents that contain the keywords computer or microprocessor, or even documents that contain the keyword computer but not database A query containing keywords without any of the above connectives is assumed to have ands implicitly connecting the keywords In full text retrieval, all the words in each document are considered to be keywords For unstructured documents, full text retrieval is essential since there may be no information about what words in the document are keywords We shall use the word term to refer to the words in a document, since all words are keywords In its simplest form an information retrieval system locates and returns all documents that contain all the keywords in the query, if the query has no connectives; connectives are handled as you would expect More sophisticated systems estimate relevance of documents to a query so that the documents can be shown in order of estimated relevance They use information about term occurrences, as well as hyperlink information, to estimate relevance; Section 22511 and 22512 outline how to do so Section 22513 outlines how to de ne similarity of documents, and use similarity for searching Some systems also attempt to provide a better set of answers by using the meanings of terms, rather than just the syntactic occurrence of terms, as outlined in Section 22514
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