scholarly journals Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain

2017 ◽  
Author(s):  
José M. Chaves-González ◽  
Jorge Martinez-Gil
Keyword(s):  
Evolutionary Algorithm ◽  
Semantic Similarity ◽  
Pearson Correlation ◽  
Similarity Metrics ◽  
Biomedical Domain ◽  
Similarity Functions ◽  
New Approach ◽  
Domain Specific ◽  
Similarity Ratings ◽  
Very High

One of the most challenging problems in the semantic web field consists of computing the semantic similarity between different terms. The problem here is the lack of accurate domain-specific dictionaries, such as biomedical, financial or any other particular and dynamic field. In this article we propose a new approach which uses different existing semantic similarity methods to obtain precise results in the biomedical domain. Specifically, we have developed an evolutionary algorithm which uses information provided by different semantic similarity metrics. Our results have been validated against a variety of biomedical datasets and different collections of similarity functions. The proposed system provides very high quality results when compared against similarity ratings provided by human experts (in terms of Pearson correlation coefficient) surpassing the results of other relevant works previously published in the literature.

Intelligent recognition of semantic relationships based on antonymy

2020 ◽  
Vol 16 (3) ◽  
pp. 263-290
Author(s):  
Hui Guan ◽  
Chengzhen Jia ◽  
Hongji Yang
Keyword(s):  
Semantic Similarity ◽  
New Approach ◽  
Word Similarity ◽  
Semantic Relationships ◽  
Proposed Model ◽  
Path Distance ◽  
The Hierarchical Structure ◽  
Thinking Process ◽  
Similarity Measuring ◽  
Intelligent Recognition

Since computing semantic similarity tends to simulate the thinking process of humans, semantic dissimilarity must play a part in this process. In this paper, we present a new approach for semantic similarity measuring by taking consideration of dissimilarity into the process of computation. Specifically, the proposed measures explore the potential antonymy in the hierarchical structure of WordNet to represent the dissimilarity between concepts and then combine the dissimilarity with the results of existing methods to achieve semantic similarity results. The relation between parameters and the correlation value is discussed in detail. The proposed model is then applied to different text granularity levels to validate the correctness on similarity measurement. Experimental results show that the proposed approach not only achieves high correlation value against human ratings but also has effective improvement to existing path-distance based methods on the word similarity level, in the meanwhile effectively correct existing sentence similarity method in some cases in Microsoft Research Paraphrase Corpus and SemEval-2014 date set.

Self-Perceived Creativity

2009 ◽  
Vol 25 (3) ◽  
pp. 194-203 ◽  
Author(s):  
Shulamith Kreitler ◽  
Hernan Casakin
Keyword(s):  
The Self ◽  
Experimental Task ◽  
Self Assessment ◽  
Specific Domain ◽  
Specific Product ◽  
Domain Specific ◽  
Design Representation ◽  
Design Requirements ◽  
Small Museum ◽  
Very High

In view of unclear previous findings about the validity of self-assessed creativity, the hypothesis guiding the present study was that validity would be proven if self-assessed creativity was examined with respect to a specific domain, specific product, specific aspects of creativity, and in terms of specific criteria. The participants were 52 architecture students. The experimental task was to design a small museum in a described context. After completing the task, the students self-assessed their creativity in designing with seven open-ended questions, the Self-Assessment of Creative Design questionnaire, and a list of seven items tapping affective metacognitive aspects of the designing process. Thus, 21 creativity indicators were formed. Four expert architects, working independently, assessed the designs on nine creativity indicators: fluency, flexibility, elaboration, functionality, innovation, fulfilling specified design requirements, considering context, mastery of skills concerning the esthetics of the design representation, and overall creativity. The agreement among the architects’ evaluations was very high. The correlations between the nine corresponding indicators in students’ assessment of their design and those of the experts were positive and significant with respect to three indicators: fluency, flexibility, and overall creativity. On the contrary, the correlations of the rest noncorresponding indicators with those of the experts were not significant. The findings support the validity of self-assessed creativity with specific restrictions.

scholarly journals AN EVOLUTIONARY ALGORITHM FOR FAST INTENSITY BASED IMAGE MATCHING BETWEEN OPTICAL AND SAR SATELLITE IMAGERY

2018 ◽  
Vol IV-3 ◽  
pp. 83-90 ◽  
Author(s):  
Peter Fischer ◽  
Philipp Schuegraf ◽  
Nina Merkle ◽  
Tobias Storch
Keyword(s):  
Evolutionary Algorithm ◽  
Satellite Imagery ◽  
Image Matching ◽  
Optimal Solution ◽  
Search Problem ◽  
Computational Costs ◽  
Radar Sensors ◽  
Function Calls ◽  
Point Detection ◽  
Very High

This paper presents a hybrid evolutionary algorithm for fast intensity based matching between satellite imagery from SAR and very high-resolution (VHR) optical sensor systems. The precise and accurate co-registration of image time series and images of different sensors is a key task in multi-sensor image processing scenarios. The necessary preprocessing step of image matching and tie-point detection is divided into a search problem and a similarity measurement. Within this paper we evaluate the use of an evolutionary search strategy for establishing the spatial correspondence between satellite imagery of optical and radar sensors. The aim of the proposed algorithm is to decrease the computational costs during the search process by formulating the search as an optimization problem. Based upon the canonical evolutionary algorithm, the proposed algorithm is adapted for SAR/optical imagery intensity based matching. Extensions are drawn using techniques like hybridization (e.g. local search) and others to lower the number of objective function calls and refine the result. The algorithm significantely decreases the computational costs whilst finding the optimal solution in a reliable way.

Handling Quantity in Variability Models for System-of-Systems

2021 ◽  
Vol 31 (05) ◽  
pp. 693-724
Author(s):  
Daisuke Shimbara ◽  
Motoshi Saeki ◽  
Shinpei Hayashi ◽  
Øystein Haugen
Keyword(s):  
System Of Systems ◽  
Tree Structure ◽  
Entire System ◽  
Simple Experiment ◽  
Domain Specific ◽  
High Degree ◽  
Variability Model ◽  
Very High ◽  
Different Levels ◽  
Parent Node

Problem: Modern systems contain parts that are themselves systems. Such complex systems thus have sets of subsystems that have their own variability. These subsystems contribute to the functionality of a whole system-of-systems (SoS). Such systems have a very high degree of variability. Therefore, a modeling technique for the variability of an entire SoS is required to express two different levels of variability: variability of the SoS as a whole and variability of subsystems. If these levels are described together, the model becomes hard to understand. When the variability model of the SoS is described separately, each variability model is represented by a tree structure and these models are combined in a further tree structure. For each node in a variability model, a quantity is assigned to express the multiplicity of its instances per one instance of its parent node. Quantities of the whole system may refer to the number of subsystem instances in the system. From the viewpoint of the entire system, constraints and requirements written in natural language are often ambiguous regarding the quantities of subsystems. Such ambiguous constraints and requirements may lead to misunderstandings or conflicts in an SoS configuration. Approach: A separate notion is proposed for variability of an SoS; one model considers the SoS as an undivided entity, while the other considers it as a combination of subsystems. Moreover, a domain-specific notation is proposed to express relationships among the variability properties of systems, to solve the ambiguity of quantities and establish the total validity. This notation adapts an approach, named Pincer Movement, which can then be used to automatically deduce the quantities for the constraints and requirements. Validation: The descriptive capability of the proposed notation was validated with four examples of cloud providers. In addition, the proposed method and description tool were validated through a simple experiment on describing variability models with real practitioners.

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