Open AccessBook
Deep Web Query Interface Understanding and Integration
Eduard C. Dragut,Weiyi Meng,Clement Yu +2 more
- 18 Jun 2012
41
TL;DR: This book introduces the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep Web data sources and provides in-depth and comprehensive coverage of the key technologies needed to create high quality integrated query interfaces automatically.
read more
Abstract: There are millions of searchable data sources on the Web and to a large extent their contents can only be reached through their own query interfaces. There is an enormous interest in making the data in these sources easily accessible. There are primarily two general approaches to achieve this objective. The first is to surface the contents of these sources from the deep Web and add the contents to the index of regular search engines. The second is to integrate the searching capabilities of these sources and support integrated access to them. In this book, we introduce the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep Web data sources. These techniques are critical for producing an integrated query interface for each domain. The interface serves as the mediator for searching all data sources in the concerned domain. While query interface integration is only relevant for the deep Web integration approach, the extraction and understanding of query interfaces are critical for both deep Web exploration approaches. This book aims to provide in-depth and comprehensive coverage of the key technologies needed to create high quality integrated query interfaces automatically. The following technical issues are discussed in detail in this book: query interface modeling, query interface extraction, query interface clustering, query interface matching, query interface attribute integration, and query interface integration. Table of Contents: Introduction / Query Interface Representation and Extraction / Query Interface Clustering and Categorization / Query Interface Matching / Query Interface Attribute Integration / Query Interface Integration / Summary and Future Research
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Book
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum,Luna Dong,Simon Razniewski,Fabian M. Suchanek +3 more
- 12 Jul 2021
TL;DR: In this paper, the authors survey fundamental concepts and practical methods for creating and curating large-scale knowledge bases, including methods for discovering and canonicalizing entities and their semantic types and organizing them into clean taxonomies.
•Posted Content
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
TL;DR: In this article, the authors survey fundamental concepts and practical methods for creating and curating large-scale knowledge bases, including methods for discovering and canonicalizing entities and their semantic types and organizing them into clean taxonomies.
90
The ontological key: automatically understanding and integrating forms to access the deep Web
Tim Furche,Georg Gottlob,Giovanni Grasso,Xiaonan Guo,Giorgio Orsi,Christian Schallhart +5 more
- 01 Oct 2013
TL;DR: In this article, the authors present opal, the first comprehensive approach to form understanding and integration, which identifies form labeling and form interpretation as the two main tasks involved in form understanding.
22
•Posted Content
The Ontological Key: Automatically Understanding and Integrating Forms to Access the Deep Web
TL;DR: In this paper, a Datalog-based template language is used to define a domain ontology of forms in a given domain, which is then used for form understanding and integration.
22
Automatic Filling of Hidden Web Forms: A Survey
Gustavo Zanini Kantorski,Viviane Pereira Moreira,Carlos A. Heuser +2 more
- 21 May 2015
TL;DR: A survey of methods for Web Form Filling is presented, analyzing the existing solutions with respect to the type of forms that they handle and the filling strategy adopted and provides a comparative analysis of 15 key works in this area.
17
References
A Survey of Web Information Extraction Systems
TL;DR: This paper surveys the major Web data extraction approaches and compares them in three dimensions: the task domain, the automation degree, and the techniques used and believes these criteria provide qualitatively measures to evaluate various IE approaches.
•Book
Database Systems
Carolyn E. Begg,Thomas Connolly +1 more
- 08 Jul 2004
TL;DR: New edition of database design practice allowing readers to readers, a strong emphasis on database students, it professionals alike and a minor quibble however.
899
A brief survey of web data extraction tools
Alberto H. F. Laender,Berthier Ribeiro-Neto,Altigran Soares da Silva,Juliana Silveira Teixeira +3 more
- 01 Jun 2002
TL;DR: A taxonomy for characterizing Web data extraction fools is proposed, a survey of major web data extraction tools described in the literature is briefly surveyed, and a qualitative analysis of them is provided.
854
Extracting structured data from Web pages
Arvind Arasu,Hector Garcia-Molina +1 more
- 09 Jun 2003
TL;DR: This paper presents an algorithm that takes, as input, a set of template-generated pages, deduces the unknown template used to generate the pages, and extracts, as output, the values encoded in the pages.
•Proceedings Article
Extracting Structured Data from Web Pages.
Arvind Arasu,Hector Garcia-Molina +1 more
- 01 Jan 2003
TL;DR: In this paper, the problem of automatically extracting the database values from template-generated web pages without any learning examples or other similar human input is studied, and a model that describes how values are encoded into pages using a template is proposed.
449
Related Papers (5)
Bo Liu,Huimin Zhang,Liuyan Liao +2 more
- 08 Jul 2016
Ying Wang,Tao Peng,Wanli Zuo,Huifeng Zhu +3 more
- 07 Nov 2009
Ritu Khare,Yuan An,Il-Yeol Song +2 more
- 27 Sep 2010