Discovering semantic similarity association in semantic search system

2009 ◽  
Author(s):  
Shahdad Shariatmadari ◽  
Ali Mamat ◽  
Hamidah Ibahim ◽  
Norwati Mustapha
Keyword(s):  
Semantic Similarity ◽  
Semantic Search ◽  
Search System

scholarly journals Cross-Cultural Religious Tourism with Impression Distance Search System

2020 ◽  
Author(s):  
Piyaporn Nurarak ◽  
Shiori Sasaki ◽  
Irene Erlyn Wina Rachmawan ◽  
Yasushi Kiyoki
Keyword(s):  
Cross Cultural ◽  
Semantic Search ◽  
Experimental Results ◽  
Cultural Communication ◽  
Search System ◽  
Cross Cultural Communication ◽  
Emotional Distance ◽  
Religious Tourism ◽  
Global Tourism ◽  
Different Cultures

Cross-cultural religious tourism is computational to promote cross-cultural communication and understanding according to impression distance. Our motivation to implement semantic search with an emotion-oriented context into the proposed system is to realize global tourism recommendations expressed in different cultures. The objectives of this paper are (1) to find the religious places by using the tourist’s emotional distance, (2) to find similar religious places not only in the same culture but also in the different cultures with the tourist’s emotional distance calculations. Experimental results demonstrate the feasibility and applicability of this method.

scholarly journals Semantic Search Enhanced with Rating Scores

2020 ◽  
Vol 12 (4) ◽  
pp. 67
Author(s):  
Anna Formica ◽  
Elaheh Pourabbas ◽  
Francesco Taglino
Keyword(s):  
Semantic Similarity ◽  
Semantic Search ◽  
Digital Resources ◽  
User Request ◽  
Reference Ontology ◽  
Better Than

This paper presents SemSime, a method based on semantic similarity for searching over a set of digital resources previously annotated by means of concepts from a weighted reference ontology. SemSime is an enhancement of SemSim and, with respect to the latter, it uses a frequency approach for weighting the ontology, and refines both the user request and the digital resources with the addition of rating scores. Such scores are High, Medium, and Low, and in the user request indicate the preferences assigned by the user to each of the concepts representing the searching criteria, whereas in the annotation of the digital resources they represent the levels of quality associated with each concept in describing the resources. The SemSime has been evaluated and the results of the experiment show that it performs better than SemSim and an evolution of it, referred to as S e m S i m R V .

Semantic Search System using Word Embeddings for query expansion

2019 ◽  
Author(s):  
Miguel A. Silva-Fuentes ◽  
Hugo D. Calderon-Vilca ◽  
Edwin F. Calderon-Vilca ◽  
Flor C. Cardenas-Marino
Keyword(s):  
Query Expansion ◽  
Semantic Search ◽  
Word Embeddings ◽  
Search System

scholarly journals OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Jingshan Huang ◽  
Fernando Gutierrez ◽  
Harrison J. Strachan ◽  
Dejing Dou ◽  
Weili Huang ◽  
...  
Keyword(s):  
Target Gene ◽  
Gene Interaction ◽  
Semantic Search ◽  
Interaction Data ◽  
Microrna Target ◽  
Search System

scholarly journals Development of intelligent semantic search system for rubber research data in Thailand

2017 ◽  
Author(s):  
Nattapong Kaewboonma ◽  
Jirapong Panawong ◽  
Ekkawit Pianhanuruk ◽  
Marut Buranarach
Keyword(s):  
Research Data ◽  
Semantic Search ◽  
Search System

Semantic Search System For Real Time Occupancy

2021 ◽  
Author(s):  
Parwinder Singh ◽  
Kartikeya Satish Acharya ◽  
Michail J. Beliatis ◽  
Mirko Presser
Keyword(s):  
Real Time ◽  
Semantic Search ◽  
Search System

GSSP – A Generic Semantic Search Platform

2015 ◽  
pp. 220-239
Author(s):  
Sara Paiva ◽  
Manuel Ramos-Cabrer ◽  
Alberto Gil-Solla
Keyword(s):  
Quality Management ◽  
Search Engines ◽  
Management System ◽  
Quality Management System ◽  
Semantic Search ◽  
Search System ◽  
Search Results ◽  
Ongoing Work ◽  
Specific Goal

Semantic search has been rapidly growing as a way to improve search results. The meaning of the input expression has revealed to produce better results than the traditional keyword appearance. Regarding search engines, there are currently several proposals but all of them are already implemented to a specific goal. We find important to develop a generic semantic search system so it rapidly be adapted to any system and domain that has search needs. This work introduces GSSP, a generic semantic search platform proposal. We present the platform and the several steps that need to be followed in order for the platform to be used. We also provide the ongoing work that is being done to apply GSSP to a Quality Management System.

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