Keyword search in databases: Jeffrey Xu Yu, Lu Qin, and Lijun Chang
It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a d...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[San Rafael, California]
Morgan & Claypool Publishers
[2010]
|
| Schriftenreihe: | Synthesis lectures on data management
Lecture #1 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3,we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structuredXMLdatabase. In Chapter 5,we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content |
| Beschreibung: | 1 Online-Ressource (155 Seiten) |
| ISBN: | 9781608451968 |
| DOI: | 10.2200/S00231ED1V01Y200912DTM001 |
Internformat
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| 520 | 3 | |a It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content | |
| 520 | 3 | |a The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3,we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structuredXMLdatabase. In Chapter 5,we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics | |
| 520 | 3 | |a It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content | |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:31:42Z |
| indexdate | 2024-07-10T09:15:16Z |
| institution | BVB |
| isbn | 9781608451968 |
| language | English |
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| series | Synthesis lectures on data management |
| series2 | Synthesis lectures on data management |
| spelling | Yu, Jeffrey Xu Verfasser (DE-588)1222915162 aut Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang [San Rafael, California] Morgan & Claypool Publishers [2010] © 2010 1 Online-Ressource (155 Seiten) txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on data management Lecture #1 It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3,we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structuredXMLdatabase. In Chapter 5,we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics Datenbanksystem (DE-588)4113276-2 gnd rswk-swf Stichwort (DE-588)4183255-3 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Keyword searching Database searching Electronic books Datenbanksystem (DE-588)4113276-2 s Stichwort (DE-588)4183255-3 s Information Retrieval (DE-588)4072803-1 s DE-604 Qin, Lu Verfasser aut Chang, Lijun Verfasser aut Erscheint auch als Druck-Ausgabe 978-1-60845-195-1 Synthesis lectures on data management Lecture #1 (DE-604)BV036731811 1 https://doi.org/10.2200/S00231ED1V01Y200912DTM001 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Yu, Jeffrey Xu Qin, Lu Chang, Lijun Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang Synthesis lectures on data management Datenbanksystem (DE-588)4113276-2 gnd Stichwort (DE-588)4183255-3 gnd Information Retrieval (DE-588)4072803-1 gnd |
| subject_GND | (DE-588)4113276-2 (DE-588)4183255-3 (DE-588)4072803-1 |
| title | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_auth | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_exact_search | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_exact_search_txtP | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_full | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_fullStr | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_full_unstemmed | Keyword search in databases Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| title_short | Keyword search in databases |
| title_sort | keyword search in databases jeffrey xu yu lu qin and lijun chang |
| title_sub | Jeffrey Xu Yu, Lu Qin, and Lijun Chang |
| topic | Datenbanksystem (DE-588)4113276-2 gnd Stichwort (DE-588)4183255-3 gnd Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Datenbanksystem Stichwort Information Retrieval |
| url | https://doi.org/10.2200/S00231ED1V01Y200912DTM001 |
| volume_link | (DE-604)BV036731811 |
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