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
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
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
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
Finding and extracting data records from web pages
EUC'07 Proceedings of the 2007 international conference on Embedded and ubiquitous 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
A language for end-user web augmentation: Caring for producers and consumers alike
ACM Transactions on the Web (TWEB)
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Many HTML pages are generated by software programs by querying some underlying databases and then filling in a template with the data. In these situations the metainformation about the data structure is lost, so automated software programs cannot process these data in such powerful manners as information from databases. We propose a set of novel techniques for detecting structured records in a web page and extracting the data values that constitute them. Our method needs only an input page. It starts by identifying the data region of interest in the page. Then it is partitioned into records by using a clustering method that groups similar subtrees in the DOM tree of the page. Finally, the attributes of the data records are extracted by using a method based on multiple string alignment. We have tested our techniques with a high number of real web sources, obtaining high precision and recall values.