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A Gentle Introduction to Controlled Query Evaluation in DL-Lite Ontologies
Controlled query evaluation (CQE) is an approach for confidentiality-preserving query answering where a function called censor alters query answers...
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Multi-model query languages: taming the variety of big data
A critical issue in Big Data management is to address the variety of data–data are produced by disparate sources, presented in various formats, and...
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Saturation-Based Boolean Conjunctive Query Answering and Rewriting for the Guarded Quantification Fragments
Query answering is an important problem in AI, database and knowledge representation. In this paper, we develop saturation-based Boolean conjunctive...
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Query semantic reconstruction for background in few-shot segmentation
Few-shot segmentation (FSS) aims to segment unseen classes using a few annotated samples. Typically, a prototype representing the foreground class is...
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OVI-3: A NoSQL visual query system supporting efficient anti-joins
The aim of this work was to develop a technique to speed up complex joins in an incremental visual query system. When designing a visual, highly...
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Query-based information retrieval system adopting whale manhattan optimization-based deep belief neural network
The Information Retrieval system aims to discover relevant documents and display them as query responses. However, the ever-changing nature of user...
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Natural language query formalization to SPARQL for querying knowledge bases using Rasa
The idea of data to be semantically linked and the subsequent usage of this linked data with modern computer applications has been one of the most...
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Symbol question conversion in structured query language using fuzzy with deep attention based rain LSTM
Effective communication between human and machine is achieved using Natural Language Processing (NLP). However, the users are not aware about the...
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Temporal-logic query checking over finite data streams
This paper describes a technique for solving temporal-logic queries over finite sets of finite-length data streams . Such data streams arise in many...
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Neural Network Guided Fast and Efficient Query-Based Stemming by Predicting Term Co-occurrence Statistics
In information retrieval (IR) systems, stemming is used as a recall enhancing strategy to address the vocabulary mismatch problem arising due to...
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Context-Aware Query Term Difficulty Estimation for Performance Prediction
Research has already found that many retrieval methods are sensitive to the choice and order of terms that appear in a query, which can significantly... -
Keyword Embeddings for Query Suggestion
Nowadays, search engine users commonly rely on query suggestions to improve their initial inputs. Current systems are very good at recommending... -
QuOTeS: Query-Oriented Technical Summarization
When writing an academic paper, researchers often spend considerable time reviewing and summarizing papers to extract relevant citations and data to... -
Multiple Query Satisfiability of Constrained Horn Clauses
We address the problem of checking the satisfiability of a set of constrained Horn clauses (CHCs) possibly including more than one query. We propose... -
An evolutionary game theory based approach for query expansion
In Information Retrieval (IR) Systems, an essential technique employed to improve accuracy and efficiency is Query Expansion (QE). QE is the...
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BalancedQR: A Framework for Balanced Query Recommendation
Online search engines are an extremely popular tool for seeking information. However, the results returned sometimes exhibit undesirable or even... -
Efficient query processing techniques for next-page retrieval
In top- k ranked retrieval the goal is to efficiently compute an ordered list of the highest scoring k documents according to some stipulated...
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SPARQL Query Generator (SQG)
This paper describes a program—SPARQL Query Generator (SQG)—which takes as input an OWL ontology, a set of object descriptions in terms of this...