DB IR IE II, in a best-effort, Web 2.0 fashion. 5. Broader Impacts ... Raises novel research issues. mass collab, best-effort, extraction, helping Joe Six-Pax ...
Efficient Keyword Search across Heterogeneous Relational Databases Mayssam Sayyadian, AnHai Doan University of Wisconsin - Madison Hieu LeKhac University of Illinois ...
Actually Bought a House in 2004. Buying period. queried 7-8 data sources over 3 weeks ... Dell laptop X200 with mouse ... Serious problem in many settings (e.g. ...
Dan Roth: AI, question answering, text/data integration. Jiawei Han: data mining ... many workshops in AI and DB communities: e.g., SIGMOD/VLDB-04. focused on ...
crucial for integrating and sharing across data sources, the ... A long-standing challenge for both database and AI fields. many annual workshops in both fields ...
If two citations match,then their authors will be matched in order. Ordering ... Smith, J = e4. Constraints: c1 = layout constraint p(c1) = 0.8. 15 ...
Numerous matching techniques have been developed ... Matching systems are still tuned manually, by trial and error ... Given schema S & matching system M. tunes ...
An Interactive Clustering-based Approach to Integrating Source Query Interfaces on the Deep Web ... hotwire.com. 4. Constructing Global Query Interface ...
Learning to Map between Ontologies on the Semantic Web. AnHai ... CLAN. A. Content Learner. Frequencies on different words in the text in the data instances ...
LSD Slides courtesy AnHai Doan. 2 ... LSD's Multi-Strategy Learning. Use a set of base learners ... ask LSD to propose mappings for remaining 2 sources ...
AnHai Doan. Database and Information System Group. University of Illinois, Urbana Champaign ... avg-value(price) avg-value(num-baths) Given a mapping combination ...
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Using Machine Learning to Discover and Understand Structured Data William W. Cohen Machine Learning Dept. and Language Technologies Inst. School of Computer Science
Contributions of base learners and the constraint handler ... Conclusion and Future Work. Improve over time. Extensible framework. Multiple types of knowledge ...
Title: Chapter 8: XML Subject: Collaborative Data Sharing Author: zives Keywords: Principles of Data Integration Description: QDB-MUD Keynote talk Last modified by
Title: PowerPoint Presentation Author: KDD Last modified by: KDD Document presentation format: On-screen Show (4:3) Other titles: Times New Roman Arial Unicode MS ...
bags of tokens. CS 652 Information Extraction and Information Integration. XML Learner ... bags of tokens including text tokens and structure tokens ...
University of Washington. Govind Kabra. University Highlights ... MetaCrawler, 1995. Erik Selberg now works at MSN Search. Internet Softbots, 1991. KnowItAll ...
How do you understand & combine the hundreds of schemata, with thousands of fields? ... Yet another schema-free query language. Assume data is encoded in a graph with: ...
Mark-up data on the web using ontologies. Enable intelligent ... James Cook. PhD, U Sydney. Data Instance. Find Prof. Cook, a professor in a Seattle ...
hence try to attend lectures regularly. Will not cover ALL materials on the s ... TAs will monitor and try their best to help with your questions. There ...
Discover a small set of candidate matches quickly. Key idea: using search ... Use other techniques to prune out candidates. The Internal of a Searcher. Search strategy ...
... Retrieval over Structured and Text Data ... Database) Web (text) Entity = researcher ... ER queries: 11 researchers, Q=name (no relevant text doc examples) ...
Title: Chapter 8: XML Subject: Collaborative Data Sharing Author: zives Keywords: Principles of Data Integration Description: QDB-MUD Keynote talk Last modified by
1. Secure XML Publishing without Information Leakage in the ... Northeastern University, Liaoning, China. Chen Li. 2. Example: Hospital XML data. patient ...
Structural Link Analysis from User Profiles and Friends Networks: ... LiveJournal Topology [1]: Tools and Security Model. LJMindMap.com 2004 mcfnord ...
Title: Chapter 8: XML Subject: Collaborative Data Sharing Author: zives Keywords: Principles of Data Integration Description: QDB-MUD Keynote talk Last modified by
TAs will monitor and try their best to help with your questions. There can be many questions ... tree of Relational Algebra operators, choice of algorithms ...
Using ML to automate the process. Learn annotation rule ... D., Fikes R., Rice J., and Wilder S. :An environment for merging and testing large ontologies. ...
The first hint Mr. Slippery had that his own True Name might be known--and, for ... head, nor the hairs of the body, nor the 'nails, teeth, skin, muscles, sinews, ...
What are the CS PhD programs in California (CA) that have job openings and are in the top 25? ... Ranking. Factors Determining. Provenance of Non-Answers ...