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Semantic Information Retrieval Model: Fuzzy Ontology Approach

Zeinab E.Attia, Ahmed M. Gadallah, Hesham A. Hefny
2014 International Journal of Computer Applications  
The paper proposes a multi-view information retrieval model. The model has the ability to deal with the multi-field topics problem using a predefined multi-field or multi-view fuzzy ontology.  ...  Respecting the natural relationship between concepts and terms, the model enhances the recall measure compared with previously proposed fuzzy ontology-based information retrieval models.  ...  Both the document annotation process and the query expansion process depend on a fuzzy ontology.  ... 
doi:10.5120/15940-5156 fatcat:v75rgforvne37olnq3lg75q2xm

Representing and Utilising Knowledge for Understanding Structured Documents

Thomas Bayer
1992 IAPR International Workshop on Machine Vision Applications  
This paper presents a document analysis system which is capable of extracting the semantics of specific text portions of structured documents.  ...  The specific inference algorithm of Fresco is presented which combines the two different knowledge sourcesthe document model and the algorithmic model.  ...  Since fuzzy functions are used for evaluation of instances, the analysis is fault tolerant to a certain degree, dependent on the sharpness of the fuzzy membership functions.  ... 
dblp:conf/mva/Bayer92 fatcat:7pnjspgixzdilct67q333z6fau

Fuzzy logic in construction management

Fjoder Klashanov, I. Ilin, O. Kalinina
2018 MATEC Web of Conferences  
The article is devoted to the development of a model of management of technological processes of construction on the basis of fuzzy logic.  ...  This is due to the emergence of new information flows, which depends both on internal and external multiple factors with elements of ambiguity and chance, but we need to make, to store, quickly process  ...  Thus, in verbal description, is developed by a logical-linguistic model in a complex nondeterministic domains with fuzzy logic and fuzzy definitions followed by the construction of a task tree that allows  ... 
doi:10.1051/matecconf/201817001111 fatcat:leszkxifubeyhh6zxfybkruica

An integrative approach to simulation model discovery: Combining system theory, process mining and fuzzy logic

Yan Wang, Grégory Zacharewicz, Mamadou Kaba Traoré, David Chen
2018 Journal of Intelligent & Fuzzy Systems  
The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.  ...  HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not.  ...  We propose that each document generates one SES structure as well as one Fuzzy-DEVS atomic model. Each attribute in a document defines a level in the corresponding SES structure.  ... 
doi:10.3233/jifs-17403 fatcat:3ykb44c35zdx5bn3ddlg2yjjvy

Fuzzy Logic Applications for Knowledge Discovery: a Survey

Jorge Ropero, Carlos Leon, Alejandro Carrasco, Ariel Gomez, Octavio Rivera
2011 International Journal of Advancements in Computing Technology  
In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE).  ...  Computational Intelligence, and mainly Fuzzy Logic, emerges as an ideal tool for IR and IE systems.  ...  Given a term and a document, the function of influence associates every position in the text with a value dependent on the distance to the nearer occurrence of the same term.  ... 
doi:10.4156/ijact.vol3.issue6.22 fatcat:j2d7fl6irzgvbn2qualdgshuqq

Fuzzy approaches to access information on the web: recent developments and research trends

Enrique Herrera-Viedma, Gabriella Pasi
2003 European Society for Fuzzy Logic and Technology  
In this paper some research trends are presented concerning the application of fuzzy techniques to model flexible systems for the access to information on the WWW.  ...  We also identify some research directions which are worth to explore by the fuzzy community.  ...  In [5] a fuzzy indexing model of documents structured in logical sections (such as XML documents) has been defined.  ... 
dblp:conf/eusflat/Herrera-ViedmaP03 fatcat:q4wugzf2efethf75jicu7f73l4

Sense-Based Information Retrieval Using Fuzzy Logic and Swarm Intelligence

Alia Karim Abdul Hassan, Mustafa Jasim Hadi
2017 International Journal of Multimedia and Ubiquitous Engineering  
It uses the fuzzy logic to improve the WSD accuracy through tuning the synonyms weights while uses the swarm intelligence, specifically the artificial bee colony (ABC) approach, to address the latency  ...  However, there are two problems still facing IR systems based on sense, the first is the extent of WSD accuracy, and the second is the delay when addressing a large-scale document collections.  ...  The work depends on two soft computing techniques inspired from the fuzzy logic and the swarm intelligence.  ... 
doi:10.14257/ijmue.2017.12.1.31 fatcat:equu2j47l5durdrh5d5yqqon54

A Conceptual Framework for Understanding a Fuzzy System

José Maria Alonso, Luis Magdalena
2009 European Society for Fuzzy Logic and Technology  
Understanding of fuzzy systems is a subjective task which strongly depends on the person (experience, preferences, knowledge, etc.) who makes the assessment.  ...  The word Interpretability is becoming more and more frequent in the fuzzy literature. It is admitted as the main advantage of fuzzy systems and it should be given a main role in fuzzy modeling.  ...  For instance, BUDI [18] is a meta-searcher based on fuzzy logic which uses a fuzzy similarity function for comparing documents.  ... 
dblp:conf/eusflat/AlonsoM09 fatcat:4potuxpuwneqbjt3bqdkgc6loq

Implementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text Summarization

2010 Journal of Computer Science  
The second approach based on fuzzy logic results in an efficient system since fuzzy logic mimics decision making of humans.  ...  To overcome this limitation, we developed a new text summarizer based on fuzzy logic.  ...  These feature vectors are fed as an input to the fuzzy logic model that provides the fuzzy score for every vector. The fuzzy score obtained for the text document (Document No.  ... 
doi:10.3844/jcssp.2010.1366.1376 fatcat:o4wdtgmhozfwvc7s4f4ncaxx4e

Classification Using Fuzzy Cognitive Maps & Fuzzy Inference System

Kanika Bhutani, Yogita Gigras
2015 Zenodo  
This paper mainly deals with classification on the basis of soft computing techniques Fuzzy cognitive maps and fuzzy inference system.  ...  But the data available for classification contain some missing or ambiguous data so it is better to use the Neutrosophic logic for classification.  ...  The proposed model is compared with the decision trees on same dataset.  ... 
doi:10.5281/zenodo.34788 fatcat:vb4nl47v6rcezahbu3wpkeerhy

Logical and uncertainty models for information access: current trends

2000 Knowledge engineering review (Print)  
We believe that some of these issues will be central to future research on theory and applications of logical and uncertainty models for information access.  ...  The current trends of research in information access as emerged from the 1999 Workshop on Logical and Uncertainty Models for Information Systems (LUMIS'99) are briefly reviewed in this paper.  ...  The level of importance of the edge depends on the recognized mark, its content, the text associated with the pending node, and the depth of the tree representing the structure.  ... 
doi:10.1017/s026988890000103x fatcat:r34ntttvwfbqfoazppkjjev7mu

Document classification in information retrieval system based on neutrosophic sets

Barbary El
2020 Filomat  
The aim of the present paper is to suggest a neutrosophic set model for information retrieval and to develop methods and algorithms for information retrieval based on the neutrosophic set model.  ...  We define an innovative algorithm for classifying documents based on Euclidian distance between two neutrosophic sets.  ...  Adrian Rubio Solis and George Panoutsos in [24] have presented a new structure for creating Granular Computing, Neural-Fuzzy modelling structures through the use of Neutrosophic Logic to speak to the  ... 
doi:10.2298/fil2001089b fatcat:dv5vq2v7h5fuppkdrb6nhg56pi

Fuzzy Logic, Soft Computing, and Applications [chapter]

Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego
2009 Lecture Notes in Computer Science  
We survey on the theoretical and practical developments of the theory of fuzzy logic and soft computing.  ...  Specifically, we briefly review the history and main milestones of fuzzy logic (in the wide sense), the more recent development of soft computing, and finalise by presenting a panoramic view of applications  ...  Successful diagnoses and surgical outcomes depend on the experience and skill of examiners and surgeons, but dependence on the subjective abilities of these healthcare professionals carries with it the  ... 
doi:10.1007/978-3-642-02478-8_30 fatcat:6asrztozdve6rju4dh3467ypxm

Implementation of an efficient Fuzzy Logic based Information Retrieval System

Prabhjot Singh, Sumit Dhawan, Shubham Agarwal, Narina Thakur
2015 EAI Endorsed Transactions on Scalable Information Systems  
Each query is assigned a score value based on its fuzzy similarity with the index keywords. The relevant documents are retrieved based on the score value.  ...  The performance and accuracy of the proposed fuzzy similarity model is compared with Cosine similarity model using Precision-Recall curves.  ...  Experiments Boolean Information Retrieval Model Currently, most of the commercial information retrieval systems are based on the Boolean logic model.  ... 
doi:10.4108/sis.2.5.e5 fatcat:f2voioejqbghlgkaets4fjknta

Fuzzy Logic Techniques in Multimedia Databases Querying: A Preliminary Investigation of the Potentials [chapter]

Didier Dubois, Henri Prade, Florence Sèdes
1999 Database Semantics  
Fuzzy logic is known for providing a convenient tool for interfacing linguistic categories with numerical data and for expressing user's preference in a gradual and qualitative way.  ...  Moreover, the particular case of semi-structured documents is briefly discussed. Lastly, potentials of flexible constraint satisfaction problems in document production are pointed out. 211  ...  The idea of approximate equality, of similarity plays a key role also in the modelling of fuzzy dependencies.  ... 
doi:10.1007/978-0-387-35561-0_13 fatcat:ixhdopbijjhf5ay6fy54kwcdsa
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