Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

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User intent, also known as search intent or query intent, refers to the underlying goal or purpose behind a user's search query when they use a search engine. It represents what the user is looking to accomplish or find when they enter a specific keyword or phrase into a search engine.

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Accessing and navigating the Self-Service Banner 9.0 for budget queries can be simplified by following a step-by-step guide. From initiating a new finance query to selecting relevant columns and submitting the query, this process ensures accuracy and efficiency in tracking budget status by account.

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This content covers the fundamentals of query optimization in Database Management Systems (DBMS), including steps involved, required information for evaluating queries, cost-based query sub-system, and the role of various components like query parser, optimizer, plan generator, and cost estimator. I

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Active Learning (AL) is a subset of machine learning where a learning algorithm interacts with a user to label data for desired outputs. It aims to minimize the labeling bottleneck by achieving high accuracy with minimal labeled instances, thus reducing the cost of obtaining labeled data. Techniques

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Spatial data management research focuses on designing robust spatial data structures, inventing new models, constructing query languages, and optimizing query processing. This study explores the estimation of query performance and selectivity, specifically in R-trees, for efficient access planning.

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The Solomon Project delved into copy detection, dynamic detection, opinion influence, and data fusion over the years 2007 to 2012. It explored applications in data integration, query answering, record linkage, and source selection. The research evolved from closed studies to ongoing and new research

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This workshop focuses on developing language skills through the use of wh-questions. Participants engage in pair work, individual activities, and a presentation to practice asking and answering personal questions. The session includes activities such as writing personal questions, answering question

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Explore the innovative research on Shifting Bloom Filters conducted at Peking University, China, featuring evaluations, conclusions, background information, and insights on membership, association, and multiplicity queries. The study delves into hash functions, theoretical results, and the Shifting

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Open question answering over tables and text is a challenging area in natural language processing. Various paradigms such as text-based QA, table/KB-only QA, and combined text and table QA have been explored. Incompleteness in answering specific questions like identifying the runner-up song on Billb

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The study delves into how to assess the completeness of query answers when dealing with partially complete databases. By analyzing data from a telecommunication company’s data warehouse, the query results are examined to determine if all warnings generated by maintenance objects with hardware team

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Investigating natural language interfaces for querying structured MOF data stored in a knowledge graph, this project focuses on developing strategies using NLP to translate NL questions to KG queries. The MOF-KG integrates datasets, enabling query, computation, and reasoning for deriving new knowled

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Exploring themes of loneliness and connection, 'Under the Answering Sky' delves into the complex emotions evoked by solitude and the desire for companionship. Through vivid imagery and thoughtful lyric and figurative devices, the poem contemplates the interactions between the living and the dead, hi

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Explore the relationships between query complexity measures, including quantum query complexity, adversary bounds, and spectral sensitivity, in the context of symmetric functions. Analysis includes sensitivity graphs, the quantum query model, and approximate counting methods. Results cover spectral

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Facing challenges like data conflicts, instance and structure heterogeneity, the field of data integration encounters complexities in schema matching, model management, and query answering. Existing solutions assuming independence of data sources are now impacted by advanced technologies enabling ea

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In this lecture, Mohammad Hammoud discusses the importance of relational query languages (QLs) in manipulating and retrieving data in databases. He covers the strong formal foundation of QLs, their distinction from programming languages, and their effectiveness for accessing large datasets. The sess

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This lecture outlines the structure and query process of Priority Search Trees (PST) in computational geometry. It covers heap-based point queries, range trees for windowing queries, handling query ranges in 1D and 2D spaces, and using heaps to efficiently handle query ranges. The content discusses

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The English Regents exam consists of four parts: Listening Passage, Reading Comprehension, Literary Analysis, and Critical Lens Essay. Part One involves listening to a passage and answering questions. Part Two tests reading comprehension with non-fiction passages. Part Three focuses on analyzing lit

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Using a Dynamic Semantic Parser approach, the research focuses on Sequential Question Answering (SQA) by structuring queries based on semantic parses of tables as single-table databases. The goal is to generate structured queries for questions by defining formal query languages and actions for trans

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Utilizing enhanced lexical semantic models, this study presents approaches for sentence selection in question answering tasks, emphasizing tree-based techniques like tree edit-distance and quasi-synchronous grammar to match dependency trees. It discusses challenges in dependency tree matching, compu

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Query optimization plays a crucial role in improving database performance. This paper discusses techniques for optimizing join enumeration in transformation-based query optimizers, focusing on avoiding cross-products in join orders. It explores efficient algorithms for generating cross-product-free

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The study explores incorporating contrastive learning into abstractive summarization systems to improve discernment between salient and non-salient content in summaries, aiming for higher relevance to the query. By designing a contrastive learning framework and utilizing segment scores, the system c

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These notes explore practical tools for corpus search including regular expressions and the corpus query language (CQL/CQP). They provide an introduction to using corpora effectively for pattern identification, with examples and explanations. The guide includes information on levels of annotation an

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BlinkDB is a framework built on Apache Hive, designed to support interactive SQL-like aggregate queries over massive datasets. It creates and maintains samples from data for fast, approximate query answers, supporting various aggregate functions with error bounds. The architecture includes modules f

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The quiz competition involves six teams, each consisting of two students, answering questions about famous personalities and freedom fighters. Students earn one mark for each correct answer in the 6 rounds with no negative marking. Images are provided to identify the personalities. Questions range f

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Investigation into query completeness over incomplete databases, highlighting the importance of data completeness for accurate query answering. Examples and reasoning provided to illustrate the challenges and considerations in ensuring query completeness.

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In this guide, learn strategies for analyzing reading passages, summarizing content, and effectively answering questions. Discover the importance of pre-reading, highlighting key information, and understanding question types. Practice with tasks like creating mind maps, summarizing passages in sente

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Question answering systems in natural language processing (NLP) have evolved significantly, offering solutions beyond just retrieving relevant documents. These systems cater to the fundamental human need for answers to specific questions. They excel in finding answers within document collections, da

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This research project aims to improve question answering over social media platforms by leveraging word embedding and summarization methods. The approach involves retrieving a large set of candidate answers from various sources, learning to rank these answers, and summarizing the top-ranked ones. Te

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Designing a scalable query system for evaluating complex game environments involves key elements like defining required features, structuring query elements, and understanding function models for optimal performance. The system must be customizable, support debugging, and allow runtime parameter adj

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Jena SPARQL for Mac is a powerful tool for querying RDF graphs using SPARQL. Learn about RDF graphs, models, triples, and how SPARQL queries work. Explore ARQ, a query engine that supports the SPARQL RDF Query language and features multiple query languages. Discover how to install ARQ and execute SP

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Diverse types of question answering approaches include factoid querying, compositional querying of structured databases/knowledge graphs, reading comprehension, and visual question answering. Limitations of factoid question answering are also discussed, highlighting the need for specific queries and

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WikiQA Dataset provides a challenge for open-domain question answering, focusing on identifying answers from large-scale knowledge bases such as Freebase and high-quality text sources like Wikipedia. The dataset includes questions sampled from search engine query logs, with candidate sentences sourc

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This content discusses the WikiQA dataset, a challenge dataset for open-domain question answering. It covers topics such as question answering with knowledge base, answer sentence selection, QA sentence dataset, issues with QA sentence dataset, and WikiQA dataset details. Various aspects of open-dom

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Delve into the intriguing world of question answering with insights on various types of QA tasks and approaches like reading-based QA, reasoning-focused systems, and graph-based reasoning. Understand the relevance of QA in today's mobile world, its utility as a benchmark for AI, and its application

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This research explores various aspects of questioning behavior on social networks, including the types of questions asked, how they are phrased, who asks them, which questions receive answers, and motivations for answering. It also delves into known information about collaborative search, online que

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BlinkDB is a framework built on Hive and Spark that creates and maintains offline samples for fast, approximate query processing. It provides error bars for queries executed on the same data and ensures correctness. The paper introduces innovations like sample creation techniques, error latency prof

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This study presents an approach for unsupervised relation detection by aligning query patterns extracted from knowledge graphs and query click logs. The process involves automatic alignment of query patterns to determine relations in a knowledge graph, aiding in tasks like spoken language understand

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Revealing the intricacies of parallel query processing on big data, this content explores various computation models such as MapReduce, MUD, and MRC. It delves into the MPC model in detail, showcasing the tradeoffs between space exponent and computation rounds. The study uncovers lower bounds on spa

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Exploring the intersection of database access control and data privacy, this paper delves into the implications of data privacy concerns on Database Management Systems (DBMS). It discusses the need for more than just access control mechanisms and highlights the evolving landscape of data publishing,

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