Search Results - SEMANTIC SEARCH
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Semantic Search Enhanced with Rating Scores
Published in Future Internet (2020-04-01)Subjects: “…semantic search…”
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Semantic sentence structure search engine
Published in Annals of computer science and information systems (2014-09-01)Get full text
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Towards semantic search for mathematical notation
Published in Annals of computer science and information systems (2018-09-01)Get full text
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Semantic Clustering of Search Engine Results
Published in The Scientific World Journal (2015-01-01)“…This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents. …”
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Comparison and Evaluation of Semantic Search Engines
Published in Iranian Journal of Information Processing & Management (2015-02-01)Subjects: “…semantic search engines…”
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Reproductive Health and Semantics: Representations of Abortion in Semantic Models and Search Applications
Published in Social Media + Society (2023-08-01)“…Wikidata’s influence on semantically supported web search is more difficult to ascertain as search engines’ treatment of abortion appears purposely exceptional, though a strong influence from Wikipedia was noted. …”
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SEARCHSENSE: A SEMANTIC META SEARCH ENGINE
Published in International Journal of Intelligent Computing and Information Sciences (2018-01-01)“…The research has been carried out through multiple projects that were implemented over several years with main overall focus on designing an effective semantic search engine. SearchSense employs the semantic technology to bridge the gap between search engines and their users and to provide a better presentation of web search results. …”
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About one approach to implementing semantic search
Published in Karbala International Journal of Modern Science (2019-03-01)Subjects: “…semantic search…”
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Enhance the content search by using Semantic Web
Published in JISR on Computing (2013-12-01)“… The content search of web content for large data and information presents enormous resourcing and quality challenges. …”
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GBSS:researches on group-based semantic search
Published in Tongxin xuebao (2006-01-01)“…A group-based semantic search method-GBSS was presented.With regard to architecture,GBSS introduced a hybrid architecture in which the storage and search of raw data was based on DHT network,but the storage and search of meta-data was based on unstructured P2P network.With regard to search algorithm,GBSS presented a file grouping method without users’ description and constructs friend relations between nodes based on search interests and sharing files.The design idea came from some conclusions of P2P researches and complex network researches.The forwarding of user requests came use of friend relations in search process,which integrated effective caching strategy.The simulation tests prove that the GBSS algorithm is efficient,stable,and the performance improved times compared with traditional algorithms.…”
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11
Effective semantic search using thematic similarity
Published in Journal of King Saud University: Computer and Information Sciences (2014-07-01)Subjects: “…Semantic search…”
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Evidence for optimal semantic search throughout adulthood
Published in Scientific Reports (2023-12-01)“…How effectively does the mind of an individual adjust its search to account for changes due to aging? We tested 746 people ages 25 through 69 on a semantic fluency task (free listing animals) and found that, on average, retrieval follows an optimal path through semantic memory. …”
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13
GBSS:researches on group-based semantic search
Published in Tongxin xuebao (2006-01-01)“…A group-based semantic search method-GBSS was presented.With regard to architecture,GBSS introduced a hybrid architecture in which the storage and search of raw data was based on DHT network,but the storage and search of meta-data was based on unstructured P2P network.With regard to search algorithm,GBSS presented a file grouping method without users’ description and constructs friend relations between nodes based on search interests and sharing files.The design idea came from some conclusions of P2P researches and complex network researches.The forwarding of user requests came use of friend relations in search process,which integrated effective caching strategy.The simulation tests prove that the GBSS algorithm is efficient,stable,and the performance improved times compared with traditional algorithms.…”
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14
Intent Identification by Semantically Analyzing the Search Query
Published in Modelling (2024-02-01)Subjects: “…keyword search…”
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15
Lightweight Semantic Similarity Search of Data Products
Published in IEEE Access (2025-01-01)“…Previous works have proposed different methods to search for joinability or semantic similarity in relational database systems. …”
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Image region semantic enhancement and symmetric semantic completion for text-to-image person search
Published in Scientific Reports (2025-07-01)“…Abstract Mask learning has emerged as a promising approach for Text-to-Image Person Search (TIPS), yet it faces two key challenges: (1) There tends to be semantic inconsistency between image regions and text phrases. (2) Current approaches primarily focus on masking text tokens to facilitate cross-modal alignment, overlooking the important role that text plays in guiding the learning of intricate details within images, which can lead to missed opportunities for capturing these details. …”
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Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task
Published in Frontiers in Human Neuroscience (2019-10-01)Subjects: “…semantic search…”
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Comparing the Performance of Information Retrieval of Semantic and Keyword Search Engines Based on Phrase Search
Published in نشریه مطالعات دانشپژوهی (2023-02-01)Subjects: “…semantic search engines…”
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Comparison of Language Models for English-Latvian Semantic Search
Published in Applied Computer Systems (2025-01-01)Subjects: “…semantic search…”
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MEASURING THE PERFORMANCE OF SIMILARITY PROPAGATION IN AN SEMANTIC SEARCH ENGINE
Published in ICTACT Journal on Soft Computing (2013-10-01)“…This research work focuses on two main themes: Semantic web search through online and Domain based search through offline. …”
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