Search Results - SEMANTIC SEARCH

Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Semantic Clustering of Search Engine Results by Sara Saad Soliman, Maged F. El-Sayed, Yasser F. Hassan

    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. …”
    Get full text
    Article
  5. 5
  6. 6

    Reproductive Health and Semantics: Representations of Abortion in Semantic Models and Search Applications by Brian Dobreski, Laura Ridenour, Melissa Resnick

    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. …”
    Get full text
    Article
  7. 7

    SEARCHSENSE: A SEMANTIC META SEARCH ENGINE by Maged El-Sayed

    “…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. …”
    Get full text
    Article
  8. 8
  9. 9

    Enhance the content search by using Semantic Web by Aeman Jamali, Asim Riaz

    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. …”
    Get full text
    Article
  10. 10

    GBSS:researches on group-based semantic search by CHEN Hai-tao, GONG Zheng-hu, HUANG Zun-guo

    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.…”
    Get full text
    Article
  11. 11
  12. 12

    Evidence for optimal semantic search throughout adulthood by Jeffrey C. Zemla, Diane C. Gooding, Joseph L. Austerweil

    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. …”
    Get full text
    Article
  13. 13

    GBSS:researches on group-based semantic search by CHEN Hai-tao, GONG Zheng-hu, HUANG Zun-guo

    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.…”
    Get full text
    Article
  14. 14
  15. 15

    Lightweight Semantic Similarity Search of Data Products by Antonio D'Ambrosio, Paolo Platter, Martina Salis, Francesco Simbola, Diego Reforgiato Recupero, Daniele Riboni

    Published in IEEE Access (2025-01-01)
    “…Previous works have proposed different methods to search for joinability or semantic similarity in relational database systems. …”
    Get full text
    Article
  16. 16

    Image region semantic enhancement and symmetric semantic completion for text-to-image person search by Ting Tuo, Lijun Guo, Rong Zhang, Yirui Wang, Jiangbo Qian, Shangce Gao

    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. …”
    Get full text
    Article
  17. 17
  18. 18
  19. 19
  20. 20

    MEASURING THE PERFORMANCE OF SIMILARITY PROPAGATION IN AN SEMANTIC SEARCH ENGINE by S. K. Jayanthi, S. Prema

    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. …”
    Get full text
    Article

Search Tools: