PPT-Query Processing:
Author : liane-varnes | Published Date : 2016-06-30
Query Formulation Ling573 NLP Systems and Applications April 14 2011 Roadmap Motivation Retrieval gaps Query F ormulation Question Series Query reformulation AskMSR
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Query Processing:: Transcript
Query Formulation Ling573 NLP Systems and Applications April 14 2011 Roadmap Motivation Retrieval gaps Query F ormulation Question Series Query reformulation AskMSR patterns MULDER parsebased formulation. Formulation & Expansion. Ling573. NLP Systems and Applications. May 2, 2013. Deeper Processing for Query Formulation. MULDER (Kwok, . Etzioni. , & Weld). Converts question to multiple search queries. Group 4: . Nipun . Garg, Surabhi . Mithal. http://www-users.cs.umn.edu/~smithal/. Chapter Organization. 2. OLD Organization. 5.1 . Evaluation of Spatial Operations . 5.2 . Query Optimization . 5.3 . Embedded CPU-GPU Architectures. Xuntao Cheng. , Bingsheng He, Chiew Tong Lau. Nanyang Technological University, Singapore. 1. Outline. Motivations. System Design. Evaluations. Conclusion. 2. Query Processing in the Era of IoT. Yuichi Iijima and . Yoshiharu Ishikawa. Nagoya University, Japan. Outline. Background and Problem Formulation. Related Work. Query Processing Strategies. Experimental Results. Conclusions. 1. 2. Imprecise. A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. Query Optimization Process. (simplified a bit). Parse the SQL query into a logical tree:. identify distinct blocks (corresponding to nested sub-queries or views). . Query rewrite phase:. apply . algebraic transformations. Formulation & Expansion. Ling573. NLP Systems and Applications. May 2, 2013. Deeper Processing for Query Formulation. MULDER (Kwok, . Etzioni. , & Weld). Converts question to multiple search queries. SpatialHadoop. Type: Research Paper (Experimental evaluation). Authors: Ahmed . Eldawy. , . Louai. . Alarabi. , Mohamed F. . Mokbel. Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. John . Sirmon. Senior Escalation Engineer – Microsoft Corporation. Microsoft CSS at PASS 2009. Session Objectives And Takeaways. Processing issues . When good cubes go bad. Troubleshooting processing simplified . SPARQL Endpoints. Dilshod IBRAGIMOV, KATJA HOSE, TORBEN BACH PEDERSEN, ESTEBAN ZIM. ÁNYI.. Earthquake . in the . Pacific in March 2011 tsunami a . A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. Dr. Susan Gauch. Query Term Weights. . The vector space model matches queries to documents with the inner product/cosine similarity measure. Query vector * Document vector (inner product). Normalized_q_vector. Query optimization. :. The process of choosing a suitable execution strategy for processing a query.. Two internal representations of a query:. Query Tree. Query Graph. Introduction to Query Processing (2). Bhargav Kanagal. Amol Deshpande. University of Maryland. Motivation: Information Extraction/Integration. [Gupta&Sarawagi’2006, . Jayram et al. 2006. ]. Structured entities extracted from text in the internet.
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