Philip Bohannon
ABSTRACT
In this demonstration, we showcase the technologies that we are building at Yahoo! for Web-scale Information Extraction. Given any new Website, containing semi-structured information about a pre-specified set of schemas, we show how to populate objects in the corresponding schema by automatically extracting information from the Website.
- Tobias Anton. Xpath-wrapper induction by generating tree traversal patterns. In LWA, pages 126--133, 2005.Google Scholar
- Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. Open information extraction from the web. In International Joint Conference on Artificial Intelligence, pages 2670--2676, 2007. Google ScholarDigital Library
- Lorenzo Blanco, Nilesh N. Dalvi, and Ashwin Machanavajjhala. Highly efficient algorithms for structural clustering of large websites. In WWW, pages 437--446, 2011. Google ScholarDigital Library
- Michael J. Cafarella, Alon Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. Webtables: exploring the power of tables on the web. VLDB, 1(1):538--549, 2008. Google ScholarDigital Library
- Nilesh Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, Sathiya Keerthi, and Srujana Merugu. A web of concepts (keynote). In PODS. Providence, Rhode Island, USA, June 2009. Google ScholarDigital Library
- Nilesh N. Dalvi, Ravi Kumar, and Mohamed A. Soliman. Automatic wrappers for large scale web extraction. PVLDB, 4(4):219--230, 2011. Google ScholarDigital Library
- Pedro DeRose, Warren Shen, Fei Chen, AnHai Doan, and Raghu Ramakrishnan. Building structured web community portals: A top-down, compositional, and incremental approach. In VLDB, pages 399--410, 2007. Google ScholarDigital Library
- Hazem Elmeleegy, Jayant Madhavan, and Alon Y. Halevy. Harvesting relational tables from lists on the web. PVLDB, 2(1):1078--1089, 2009. Google ScholarDigital Library
- Oren Etzioni, Michael Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates. Web-scale information extraction in Knowitall: (preliminary results). In WWW, pages 100--110, 2004. Google ScholarDigital Library
- Rahul Gupta and Sunita Sarawagi. Answering table augmentation queries from unstructured lists on the web. In VLDB, 2009. Google ScholarDigital Library
- Wei Han, David Buttler, and Calton Pu. Wrapping web data into XML. SIGMOD Record, 30(3):33--38, 2001. Google ScholarDigital Library
- Chun-Nan Hsu and Ming-Tzung Dung. Generating finite-state transducers for semi-structured data extraction from the web. Information Systems, 23(8):521--538, 1998. Google ScholarDigital Library
- Nickolas Kushmerick, Daniel S. Weld, and Robert B. Doorenbos. Wrapper induction for information extraction. In IJCAI, pages 729--737, 1997.Google Scholar
- Jussi Myllymaki and Jared Jackson. Robust web data extraction with XML path expressions. Technical Report RJ 10245, IBM, 2002.Google Scholar
- Arnaud Sahuguet and Fabien Azavant. Building light-weight wrappers for legacy web data-sources using w4f. In VLDB, pages 738--741, 1999. Google ScholarDigital Library
- Pierre Senellart, Avin Mittal, Daniel Muschick, Rémi Gilleron, and Marc Tommasi. Automatic wrapper induction from hidden-web sources with domain knowledge. In WIDM, pages 9--16, 2008. Google ScholarDigital Library
Index Terms
- Automatic web-scale information extraction
Recommendations
Web-scale information extraction in knowitall: (preliminary results)
WWW '04: Proceedings of the 13th international conference on World Wide WebManually querying search engines in order to accumulate a large bodyof factual information is a tedious, error-prone process of piecemealsearch. Search engines retrieve and rank potentially relevantdocuments for human perusal, but do not extract facts, ...
Automatic information extraction from unstructured mammography reports using distributed semantics
Graphical abstractDisplay Omitted
Highlights- Proposed a hybrid information extraction system for unstructured mammography reports.
AbstractTo date, the methods developed for automated extraction of information from radiology reports are mainly rule-based or dictionary-based, and, therefore, require substantial manual effort to build these systems. Recent efforts to ...
A robust web personal name information extraction system
Highlights Features are extracted with various lightweight methods and from broad resources. The unsupervised features improve the robustness of a disambiguation system. Our AE system integrates various extraction approaches with high precision. Each ...
Comments