Verfügbarkeit: Deep web query interface understanding and integration

Deep web query interface understanding and integration:

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Bibliographische Detailangaben
Beteiligte Personen:	Dragut, Eduard C. (VerfasserIn), Meng, Weiyi (VerfasserIn), Yu, Clement T. (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	San Rafael, Calif. Morgan & Claypool 2012
Schriftenreihe:	Synthesis lectures on data management 26
Schlagwörter:	Deep Web Information Retrieval
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026221349&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	Includes bibliographical references
Umfang:	XVII, 150 S.
ISBN:	9781608458943

Internformat

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Datensatz im Suchindex

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adam_text	Xl I Contents Preface ..................................................................xv Acknowledgments ......................................................xvii 1 Introduction ..............................................................1 1.1 Deep Web vs. Surface Web ...............................................2 1.2 Web Database Technology ...............................................4 1.3 Paradigms for Integrated Access of the Deep Web .......................... 10 1.3.1 Data Collection ................................................. 10 1.3.2 Metasearching .................................................. 16 1.4 Book Overview ........................................................20 2 Query Interface Representation and Extraction ............................. 23 2.1 Characteristics of Deep Web Query Interfaces .............................24 2.1.1 Query Interface Metadata ........................................26 2.1.2 Domain Specific Properties of Query Interfaces ......................28 2.2 Query Interface Representation Models ...................................29 2.2.1 Flat Representation ..............................................29 2.2.2 Hierarchical Representation .......................................29 2.3 Query Interface Extraction ..............................................32 2.3.1 Heuristic-Based Extraction .......................................33 2.3.2 Rule-Based Extraction ...........................................37 2.3.3 Statistical Learning Based Extraction ...............................42 3 Query Interface Clustering and Categorization ............................. 45 3.1 Deep Web Sources Discovery ...........................................46 3.1.1 Search Forms versus Non-Search Forms ............................47 3.1.2 Locate Deep Web Sources ........................................47 3.1.3 Generating Input Values for Textboxes ..............................49 3.2 Query Interface Clustering ..............................................53 3.2.1 Clustering Features ..............................................53 3.2.2 Schema (Metadata^Based Clustering ..............................55 XU 3.2.3 Vocabulary-Based Clustering ...................................... 3.3 Query Interface Categorization .......................................... 3.3.1 Cluster Assignment .............................................. 3.3.2 Supervised Domain-Assisted Classification Methods ................. 64 4 Query Interface Matching ................................................ 70 4.1 Traditional Attribute Matching .......................................... 72 4.2 Query Interface Attribute Matching Challenges ............................ 4.3 Clustering Based Attribute Matching ..................................... 4.3.1 A HAC-Based Query Interface Matching .......................... 75 4.3.2 l:m Matching ................................................... 78 80 4.3.3 Clustering by Positive and Predictive Matches ....................... Я2 4.4 Statistical-Based Attribute Matching ..................................... 4.4.1 MGSsd Algorithm for Schema Matching ........................... 83 87 4.4.2 Correlation Mining .............................................. 4.5 Instance Based Attribute Matching ...................................... 4.5.1 Matching by Query Probing ...................................... 4.5.2 Gathering Instances from the Web ................................. 5 Query Interface Attribute Integration ..................................... 5.1 Traditional Attribute Integration ......................................... 5.2 Generating Global Attributes ........................................... 5.2.1 Global Attribute Label Selection .................................. 5.2.2 Integration of Domain Type ..................................... 5.3 Domain Value Integration ............................................. ^ 5.3.1 Integration of Non-numerical Domains ............................ 5.3.2 Integration of Numerical Domains ................................. 6 Query Interface Integration ............................................ 6.1 Traditional Schema Integration ................. ..................... ^ 6.2 Query Interface Merging ................ ............... ^ 6.2.1 Structure Alignment ............... .............· ^ 6.2.2 FieldGrouping ..................... ............ I16 6.2.3 Merging Query Interfaces ....................................... l2° 6.3 Labeling Integrated Query Interfaces .................................... l24 6.3.1 Semantic Rules on Names ....... ........... ^ 6.3.2 Labeling Consistency for Groups - Horizontal Consistency .......... l2? Xlii 6.3.3 Labeling Internal Nodes — Vertical Consistency ..................... 130 6.3.4 Consistent Labeled Integrated Interface ...........................131 Summary and Future Research ........................................... 135 Bibliography ........................................................... 139 Authors Biographies ................................................... 149
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id	DE-604.BV041247261
illustrated	Not Illustrated
indexdate	2024-12-20T16:34:08Z
institution	BVB
isbn	9781608458943
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-026221349
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physical	XVII, 150 S.
publishDate	2012
publishDateSearch	2012
publishDateSort	2012
publisher	Morgan & Claypool
record_format	marc
series	Synthesis lectures on data management
series2	Synthesis lectures on data management
spellingShingle	Dragut, Eduard C. Meng, Weiyi Yu, Clement T. Deep web query interface understanding and integration Synthesis lectures on data management Deep Web (DE-588)7664173-9 gnd Information Retrieval (DE-588)4072803-1 gnd
subject_GND	(DE-588)7664173-9 (DE-588)4072803-1
title	Deep web query interface understanding and integration
title_auth	Deep web query interface understanding and integration
title_exact_search	Deep web query interface understanding and integration
title_full	Deep web query interface understanding and integration Eduard C. Dragut, Weiyi Meng, Clement T. Yu
title_fullStr	Deep web query interface understanding and integration Eduard C. Dragut, Weiyi Meng, Clement T. Yu
title_full_unstemmed	Deep web query interface understanding and integration Eduard C. Dragut, Weiyi Meng, Clement T. Yu
title_short	Deep web query interface understanding and integration
title_sort	deep web query interface understanding and integration
topic	Deep Web (DE-588)7664173-9 gnd Information Retrieval (DE-588)4072803-1 gnd
topic_facet	Deep Web Information Retrieval
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026221349&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV036766043
work_keys_str_mv	AT draguteduardc deepwebqueryinterfaceunderstandingandintegration AT mengweiyi deepwebqueryinterfaceunderstandingandintegration AT yuclementt deepwebqueryinterfaceunderstandingandintegration

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