Semantic information retrieval.Text
On the Performance of Latent Semantic Indexing-based Information Retrieval
... Information Retrieval ( IR ) deals with the repre- sentation, storage, organization of and access to information ...for text retrieval can be primarily divided into two categories: ...
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Fuzzy Cross Domain Concept Mining
... Latent Semantic Analysis (LSA)[2]. In general text mining involves extractions of terms, concept using Bag of Words (BOW) or N-Gram so that each document can be represented by vector ...Latent ...
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TEXT MINING WITH ENRICHED TEXT FOR ENTITY ORIENTED RETRIEVAL AND TEXT CLUSTERING
... of text constitute what we mean by “semantics" in the course of this thesis, namely considering the semantic relationships that may exist between words in the text ...the semantic ...
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A robust framework for web information extraction and retrieval
... the semantic web technology had been widely adopted in information retrieval due to its capability to store multiple descriptions about a single object ...large-scale text analytics called ...
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Care episode retrieval: distributional semantic models for information retrieval in the clinical domain
... The main distinguishing features specific to the W2V model are the linear (as opposed to the traditionally non-linear) hidden layer, and the usage of the efficient hierarchical soft-max output layer, which allows for a ...
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Information Retrieval: A Survey - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... a text categoriza- tion module based on this technique; the module provides a front-end filtering function for the larger Document Retrieval through LINguistic Knowledge (DR-LINK) text ...
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A Linear Algebraic Technique with an Application in Semantic Image Retrieval
... it text, image, or even video) can be described by a series of observations, or measurements, made about its ...term-occurrence information for both ‘visual’ terms and textual annotation ...
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A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness
... of semantic information into a GVSM retrieval model can improve performance by considering the semantic relatedness between the query and document ...computing semantic relatedness ...
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SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM
... Information Retrieval (IR for short) which finds information that actually need among large collection of documents is concerned with representing, searching, and manipulating large collections of ...
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Information Storage And Retrieval Systems Theory And Impl 2e Kowalski GJ (2002) pdf
... the Text Structurer, which attempts to identify general discourse level areas within an ...Analytical Information, Cause/Effect Dimension and Attributed Quotations in the more recent versions of DR-LINK ...
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REVIEW ON ONTOLOGY BASED TECHNIQUES IN INFORMATION RETRIEVAL SYSTEMS
... Abstract: Information Retrieval [IR] is a method used for searching documents, searching information contained by documents, and for searching metadata about documents, and also for relational ...
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Semantic Query Expansion for Arabic Information Retrieval
... LUCENE depends on the Vector Space Model (VSM) of information retrieval, and the Boolean model to determine how relevant a given Document is to a User's query. LUCENE has very useful set of features, as the ...
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Information Retrieval based on Semantic Navigation in Medical Corpus
... to semantic navigation based on multiple ...with semantic descriptions during some their tasks, as modeling, presentation and selection of knowledge classified in documents and according to their ...that ...
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Analysis on the technology improvement of the library network information retrieval efficiency
... online information resources .A typical traditional retrieval is to find out a small part related to an individual or a user from a large number of ...useful information from data without knowing the ...
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Education Web Information Retrieval and Classification with Big Data Analysis
... education information on the Internet is getting more and more abun- dant, more and more extensive; it has become the most important information for mul- tiple data source (Wu et ...useful ...
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Text extraction from cricket video- Comparative study of algorithms
... superimposed text in cricket videos is ...imposed text region extraction of super imposed text in video is ...the text from the cricket ...extracting text the algorithms can be ...
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Semantic Search based on Ontology Alignment for Information Retrieval
... FREyA, NLP-Reduce and AutoSPARQL are some of the Natural Language Interfaces developed for Semantic Search systems. NLP Reduce is a Natural Language Interface for semantic search. It is naive and ...
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A fuzzy semantic information retrieval system for transactional applications
... In schools and industry, simulation tools based on MATLAB and Simulink are popular for science and engineering applications. MATLAB has many instructions and tools for designing applications and developing algorithms, ...
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Information Retrieval Data Structures And Algorithms FRAKES WB (2004) pdf
... I exaggerated, of course, when I said that we are still using ancient technology for information retrieval. The basic concept of indexes--searching by keywords--may be the same, but the implementation is a ...
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