New indices for text: PAT Trees and PAT arrays
Information retrieval
WebL - a programming language for the Web
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Generating finite-state transducers for semi-structured data extraction from the Web
Information Systems - Special issue on semistructured data
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
IEPAD: information extraction based on pattern discovery
Proceedings of the 10th international conference on World Wide Web
Building intelligent web applications using lightweight wrappers
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
A brief survey of web data extraction tools
ACM SIGMOD Record
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Proceedings of the 27th International Conference on Very Large Data Bases
Visual Web Information Extraction with Lixto
Proceedings of the 27th International Conference on Very Large Data Bases
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Semi-Automatic Wrapper Generation for Commercial Web Sources
Proceedings of the IFIP TC8 / WG8.1 Working Conference on Engineering Information Systems in the Internet Context
On the Automatic Extraction of Data from the Hidden Web
Revised Papers from the HUMACS, DASWIS, ECOMO, and DAMA on ER 2001 Workshops
Data extraction and label assignment for web databases
WWW '03 Proceedings of the 12th international conference on World Wide Web
Extracting structured data from Web pages
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Using the structure of Web sites for automatic segmentation of tables
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Thresher: automating the unwrapping of semantic content from the World Wide Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Clustering web pages based on their structure
Data & Knowledge Engineering - Special issue: WIDM 2003
HW-STALKER: a machine learning-based system for transforming QURE-Pagelets to XML
Data & Knowledge Engineering
Structured Data Extraction from the Web Based on Partial Tree Alignment
IEEE Transactions on Knowledge and Data Engineering
Automatically maintaining wrappers for semi-structured web sources
Data & Knowledge Engineering
Semantic deep web: automatic attribute extraction from the deep web data sources
Proceedings of the 2007 ACM symposium on Applied computing
Crawling the content hidden behind web forms
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Extracting web data using instance-based learning
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Semistructured data: the TSIMMIS experience
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
Detecting data records in semi-structured web sites based on text token clustering
Integrated Computer-Aided Engineering
Crawling Deep Web Using a New Set Covering Algorithm
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Information extraction for search engines using fast heuristic techniques
Data & Knowledge Engineering
Answering table augmentation queries from unstructured lists on the web
Proceedings of the VLDB Endowment
Providing resilient XPaths for external adaptation engines
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Collective extraction from heterogeneous web lists
Proceedings of the fourth ACM international conference on Web search and data mining
Data extraction from web pages based on structural-semantic entropy
Proceedings of the 21st international conference companion on World Wide Web
Towards a method for unsupervised web information extraction
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Clustering visually similar web page elements for structured web data extraction
ICWE'12 Proceedings of the 12th international conference on Web Engineering
TEX: An efficient and effective unsupervised Web information extractor
Knowledge-Based Systems
An unsupervised technique to extract information from semi-structured web pages
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Towards web-scale structured web data extraction
Proceedings of the sixth ACM international conference on Web search and data mining
SearchResultFinder: federated search made easy
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Leveraging spatial join for robust tuple extraction from web pages
Information Sciences: an International Journal
Selecting queries from sample to crawl deep web data sources
Web Intelligence and Agent Systems
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Many web sources provide access to an underlying database containing structured data. These data can be usually accessed in HTML form only, which makes it difficult for software programs to obtain them in structured form. Nevertheless, web sources usually encode data records using a consistent template or layout, and the implicit regularities in the template can be used to automatically infer the structure and extract the data. In this paper, we propose a set of novel techniques to address this problem. While several previous works have addressed the same problem, most of them require multiple input pages while our method requires only one. In addition, previous methods make some assumptions about how data records are encoded into web pages, which do not always hold in real websites. Finally, we have also tested our techniques with a high number of real web sources and we have found them to be very effective.