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Research on Semantic Information Retrieval Based on Improved Fish Swarm Algorithm

Ming Hu
2022 Journal of Web Engineering  
In order to improve the effectiveness of semantic information retrieval, the improved fish swarm algorithm is proposed to carry out semantic information retrieval.  ...  Secondly, the information retrieval model based on semantic similarity is constructed, and the mathematical model is deduced.  ...  In this research, the improved fish swarm algorithm is establish to carry out semantic information retrieval.  ... 
doi:10.13052/jwe1540-9589.21313 fatcat:edgumq3chjb45cvbiusi75yqqe

Comparing Performance of Various Optimization Algorithms for Effective Information Retrieval – A Review

Tahera Shaikh
2017 International Journal for Research in Applied Science and Engineering Technology  
The researchers have introduced various optimization algorithms in the field of Information Retrieval like Swarm Intelligence and Genetic Algorithm.  ...  Information Retrieval (IR) is finding documents of an unstructured source like text that fulfills an information need from within large collections usually stored on computers.  ...  The authors have used various techniques to solve the problem of information retrieval, they have used optimization algorithms like swarm intelligence algorithms, there are various kinds of swarm intelligence  ... 
doi:10.22214/ijraset.2017.11117 fatcat:jid23wuawvh2zk5cclg5bjt37y

Applications of Nature-Inspired Algorithms in Different Aspects of Semantic Web

Deepika Chaudhary, Jaiteg Singh, D. P. Kothari
2018 Journal of Computer Science  
This paper presents a survey of vital nature-Inspired techniques that can be used for optimizing various areas of Semantic web applications such as knowledge base, content filtering, Information Retrieval  ...  Since the past decade, there has been a rapid increase of research in this field. Today Nature Inspired algorithms have permeated into almost all areas of sciences.  ...  Acknowledgment We thank our colleagues and all those who helped us and provided insight that greatly assisted the research. The contribution they made helped in drafting of the the paper.  ... 
doi:10.3844/jcssp.2018.221.227 fatcat:kzeajndwgba6jgpeauc4qm3h3m

Automated Information Retrieval Model Using FP Growth Based Fuzzy Particle Swarm Optimization

Raja Varma Pamba, Elizabeth Sherly, Kiran Mohan
2017 International Journal of Computer Science & Information Technology (IJCSIT)  
Research on diverse fields are fine tuning methodologies toward these goals that extracts the best of information relevant to the users search query.  ...  The proposed methodology find effective means to find all possible semantic relatable frequent sets with FP Growth algorithm.  ...  CONCLUSIONS In this proposed approach, the methodology takes into account primarily the base issues of any information retrieval systems effectively.  ... 
doi:10.5121/ijcsit.2017.9109 fatcat:m25ieywm3vdvbnrbrsnqgjrave

Meta-Heuristics Based Arf Optimization for Image Retrieval

Darsana B
2012 International Journal of Computer Science Engineering and Information Technology  
The proposed approach avoids the semantic gap in image retrieval by combining automatic relevance feedback and a modified stochastic algorithm.  ...  The user selects the query image, and based on that, the system ranks the whole dataset. The nearest images are retrieved and the first automatic relevance feedback is generated.  ...  Image Retrieval For the retrieved images, first automatic relevance feedback based on Latent Semantic Indexing (LSI) is generated.  ... 
doi:10.5121/ijcseit.2012.2215 fatcat:3pphre2l2fbongupl4vzkp3m54

Semantic-Based Facial Image-Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance

Manikandan Kalimuthu, Ilango Krishnamurthi
2015 Journal of Applied Mathematics  
The semantic-based facial image-retrieval system is concerned with the process of retrieving facial images based on the semantic information of query images and database images.  ...  In the second stage, a semantic gap between these features is reduced by a well-known adaptive particle swarm optimization (APSO) technique.  ...  Particle swarm optimization (PSO) is a population-based search algorithm. It is created to imitate the behavior of birds in search for food on a cornfield or a fish school.  ... 
doi:10.1155/2015/284378 fatcat:uctaj6azrvajnhvaf2lsb3ecxi

Distributed Retrieval of Images using Particle Swarm Optimization and Hadoop

Darsana B, G. Jagajothi
2013 International Journal of Computer Applications  
Automatic relevance feedback is implemented using Latent Semantic Analysis, and Particle swarm optimization provides meta-heuristic based development.  ...  One inherent problem associated with Content based Image Retrieval is the response time of the system to retrieve relevant result from the image database.  ...  Particle Swarm Optimization (PSO) is one such bio-inspired meta-heuristic algorithm, with stochastic nature, inspired by social behavior of bird flocking or fish schooling, introduced in the field of computational  ... 
doi:10.5120/12375-8719 fatcat:72q6zft2czd3fedxsrovkpsmne

A Survey on Sentiment Analysis using Swarm Intelligence

Akshi Kumar, Renu Khorwal, Shweta Chaudhary
2016 Indian Journal of Science and Technology  
be expounded for improved sentiment analysis.  ...  There are only few swarm algorithms which have been applied in this area and there are many other algorithms which can be explored, this study provides an insight into the various algorithms which can  ...  Another popular swarm algorithm is the PSO, a population based optimization technique based on social behavior of fish schooling and flock herding.  ... 
doi:10.17485/ijst/2016/v9i39/100766 fatcat:ta242dgr6jfdxkzxd2o74rzfyi

Sentiment Orientation Identification under Q&A Community based on Two-level Conditions Random Field Improved by Particle Swarm Optimization Algorithm

Wang Caiyin, Cui Lin, Li Hong
2015 International Journal of Smart Home  
Because the accuracy of traditional sentiment orientation identification algorithm is not high under Q&A community, this paper proposes a new method based on two-level conditional random field improved  ...  Aiming at the above-mentioned problem, based on the sentence-level, this paper puts sentiment analysis process into the sentiment polarity context information and dependent information between two tasks  ...  Question answering system sentiment analysis framework based on two-level conditional random fields model improved by particle swarm optimization algorithm that is abbreviated as PSO_TL CRF is shown in  ... 
doi:10.14257/ijsh.2015.9.4.15 fatcat:pi6jjdpuhvd3hc7qichg4bsjxa

Automatic image annotation via incorporating Naive Bayes with particle swarm optimization

Mohamed Sami, Nashwa El-Bendary, Aboul Ella Hassanien
2012 2012 World Congress on Information and Communication Technologies  
The proposed hybrid approach refines the output of multiclass classification that is based on the usage of Naive Bayes classifier for automatically labeling images with a number of words.  ...  This paper presents an automatic image annotation approach that integrates the Naive Bayes classifier with particle swarm optimization algorithm for classes probabilities weighting.  ...  The proposed approach in this paper is based on the Naive Bayes classifier with particle swarm optimization algorithm for classes probabilites weighting.  ... 
doi:10.1109/wict.2012.6409182 fatcat:zxvuaexxwverlj3opeaetu7k3m

Improved cuckoo search with particle swarm optimization for classification of compressed images

2015 Sadhana (Bangalore)  
The need for a general purpose Content Based Image Retrieval (CBIR) system for huge image databases has attracted information-technology researchers and institutions for CBIR techniques development.  ...  This paper investigates medical image retrieval problem for compressed images. An improved image classification algorithm for CBIR is proposed.  ...  Pseudo-code of PSO algorithm is given by (Settles 2005) : PSO is inspired by fish and bird swarm intelligence while Cuckoo Search (CS) is based on breeding behavior and brood parasitism of specific cuckoo  ... 
doi:10.1007/s12046-015-0440-0 fatcat:h3s2v45q25ehpiyxb7osnjclba

A Novel Multi-Parameter Tuned Optimizer for Information Retrieval based on Particle Swarm Optimization

2019 International journal of recent technology and engineering  
Tuning multi-parameter and parameter optimization in Information Retrieval has been a huge area of research and development, especially with BM25F scoring functions having a 2F+1 feature with F fields  ...  Particle Swarm Optimization (PSO) searches through the solution- space independently and discovers an optimal solution as opposed to improving and optimizing the gradient; henceforth it can straightforward  ...  This begets the need for an efficient search, retrieving relevant information from a corpus based on user need and ranking methods.  ... 
doi:10.35940/ijrte.c4455.098319 fatcat:jscjond3eneptfhqodcb4ee4p4

Similarity Calculation of 3D Model By Integrating Improved ACO into HNN

Xue-Yao Gao, Jia-Wei Li, Chun-Xiang Zhang
2020 IEEE Access  
A novel method of 3D model retrieval is given based on fish swarm, in which spatial bag of words is used as shape descriptor [27] .  ...  There are many methods of 3D model retrieval including geometrybased approach, graph-based one, view-based one, semantic-based one and shape distribution-based one.  ... 
doi:10.1109/access.2020.3019419 fatcat:riiky2vrqnfzhc5pgofk3mvhve

Evaluation of text document clustering approach based on particle swarm optimization

Stuti Karol, Veenu Mangat
2013 Open Computer Science  
It is a fundamental operation used in unsupervised document organization, text data mining, automatic topic extraction, and information retrieval.  ...  The proposed approach involves partitioning Fuzzy C-Means algorithm and K-Means algorithm each hybridized with Particle Swarm Optimization (PSO).  ...  Many researchers have also investigated the effect of the choice of a similarity measure on document clustering [36] [56] which focus on semantic similarity.  ... 
doi:10.2478/s13537-013-0104-2 fatcat:aqkdvyg5cvfpfgk6amqghgs6fq

Ambient Middleware for Context-Awareness (AMiCA)

Karen Lee, Tom Lunney, Kevin Curran, Jose Santos
2009 International Journal of Ambient Computing and Intelligence (IJACI)  
To determine the effectiveness of this middleware framework, a cloud computing based Ambient Intelligent application will be developed which will integrate with research in the areas of Swarm Intelligence  ...  , Bayesian networks and the semantic web.  ...  Using semantic technologies in conjunction with reasoning algorithms based on Swarm Intelligence/Bayesian networks offers a potential unique contribution.  ... 
doi:10.4018/jaci.2009070105 fatcat:bq6nn2jv6bgojnkathszprs3iy
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