A semantic and intelligent focused crawler based on semantic vector space model and membrane computing optimization algorithm

Liu, Wenjun; Gan, Zurui; Xi, Tiejun; Du, Yajun; Wu, Jing; He, Yu; Jiang, Pengjun; Liu, Xing; Lai, Xia

doi:10.1007/s10489-022-03180-5

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…A semantic and intelligent focused crawler based on the semantic vector space model (SVSM) and a membrane computing optimization algorithm (MCOA) were proposed for the semantic understanding and intelligent learning abilities. The MCOA method was used to optimize four weighted factors based on the rules of evolution and communication [22]. An optimization numerical spiking neural P system (ONSN P systems or ONSNPS) was proposed to solve continuous constrained optimization problems, in which a guider algorithm is introduced to finish individuals' crossover and selection, and a random mechanism was used for production function selection to achieve updated parameters [23].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Mode Membrane Computing Based Algorithm with Applications for Proton Exchange Membrane Fuel Cells

Zhao

Zhang

et al. 2023

Mathematics

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Membrane computing is a branch of natural computing which has been extended to solve various optimization problems. A hybrid mode membrane-computing-based algorithm (HMMCA) is proposed in this paper to solve complex unconstrained optimization problems with continuous variables. The algorithmic framework of HMMCA translates from its distributed cell-like membrane structure and communication rule. A non-deterministic evolutionary programming method and two computational rules are applied to enhance the computational performance. In a numerical simulation, 12 benchmark test functions with different variables are used to verify the algorithmic performance. The test results and comparison with three other algorithms illustrate its effectiveness and superiority. Moreover, a case study on a proton exchange membrane fuel cell (PEMFC) system parameter optimization problem is applied to validate its practicability. The results of the simulation and comparison with seven other algorithms demonstrate its practicability.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Mode Membrane Computing Based Algorithm with Applications for Proton Exchange Membrane Fuel Cells

Zhao

Zhang

et al. 2023

Mathematics

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A Study on Design, Development and Deployment of Web Crawler Algorithms and Their Metrics

Arthy,

Raja

2024

2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)

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A Focused Event Crawler with Temporal Intent

Hou

2023

Applied Sciences

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Temporal intent is an important component of events. It plays an important role in collecting them from the web with focused crawlers. However, traditionally focused crawlers usually only consider factors such as topic keywords, web page content, and anchor text, ignoring the relationship between web pages and the temporal intent of events. This leads to their poor crawling performance. This paper aims to understand the temporal intent of events and apply it within focused crawlers. First, a new temporal intent identification method is proposed based on Google Trends data. The method can automatically identify the start time of an event and quantify the temporal distribution of the event. Then, a new focused event crawler with temporal intent is proposed. The crawler incorporates the start time of the event into the similarity calculation module, and a new URL (Uniform Resource Locator) priority assignment method is developed using the quantified temporal distribution of temporal intent as the independent variable of a natural exponential function. Experimental results show that our method is effective in identifying the start time of events at the month level and quantifying the temporal distribution of events. Furthermore, compared to the traditional best-first crawling method, the precision of our method improves by an average of 10.28%, and a maximum of 25.21%. These results indicate that our method performs better in retrieving relevant pages and assigning URL priority. This also illustrates the importance of the relationship between web pages and the temporal intent of events.

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A semantic and intelligent focused crawler based on semantic vector space model and membrane computing optimization algorithm

Cited by 3 publications

References 35 publications

A Hybrid Mode Membrane Computing Based Algorithm with Applications for Proton Exchange Membrane Fuel Cells

A Hybrid Mode Membrane Computing Based Algorithm with Applications for Proton Exchange Membrane Fuel Cells

A Study on Design, Development and Deployment of Web Crawler Algorithms and Their Metrics

A Focused Event Crawler with Temporal Intent

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