Articoli correlati a Information Discovery on Graph-Structured Databases
Sinossi
Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships, and a XML database can be represented as a graph with XML elements as nodes and containment or ID-IDREF edges as hyperlinks. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity – users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. Since the keyword search query interface is very flexible, queries may not always be precise and can potentially return a large number of query results, especially in large document collections. Consequently, an important requirement for keyword search is to rank the query result. The goal of this book is to present various search techniques.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Ramakrishna Varadarajan received his Ph.D. and M.S. degrees in Computer Science from Florida International University, Miami, Florida in 2009 and 2006 respectively. Before that, he received my B.E. degree in Computer Science & Engineering from University of Madras, Chennai, India in 2004. He currently works as a Senior System Software Engineer.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Information Discovery on Graph-Structured Databases
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Scholars' Press Jun 2016, 2016
ISBN 10: 3659839353
ISBN 13: 9783659839351
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships, and a XML database can be represented as a graph with XML elements as nodes and containment or ID-IDREF edges as hyperlinks. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity - users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. Since the keyword search query interface is very flexible, queries may not always be precise and can potentially return a large number of query results, especially in large document collections. Consequently, an important requirement for keyword search is to rank the query result. The goal of this book is to present various search techniques. 116 pp. Englisch. Codice articolo 9783659839351
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Varadarajan RamakrishnaRamakrishna Varadarajan received his Ph.D. and M.S. degrees in Computer Science from Florida International University, Miami, Florida in 2009 and 2006 respectively. Before that, he received my B.E. degree in Co. Codice articolo 151429057
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Information Discovery on Graph-Structured Databases
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Scholars' Press Jun 2016, 2016
ISBN 10: 3659839353
ISBN 13: 9783659839351
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships, and a XML database can be represented as a graph with XML elements as nodes and containment or ID-IDREF edges as hyperlinks. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity - users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. Since the keyword search query interface is very flexible, queries may not always be precise and can potentially return a large number of query results, especially in large document collections. Consequently, an important requirement for keyword search is to rank the query result. The goal of this book is to present various search techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9783659839351
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships, and a XML database can be represented as a graph with XML elements as nodes and containment or ID-IDREF edges as hyperlinks. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity - users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. Since the keyword search query interface is very flexible, queries may not always be precise and can potentially return a large number of query results, especially in large document collections. Consequently, an important requirement for keyword search is to rank the query result. The goal of this book is to present various search techniques. Codice articolo 9783659839351
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Taschenbuch. Condizione: Neu. Information Discovery on Graph-Structured Databases | Ramakrishna Varadarajan | Taschenbuch | 116 S. | Englisch | 2016 | Scholars' Press | EAN 9783659839351 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 103633760
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