Applying ontology learning and multi-objective ant colony optimization method for focused crawling to meteorological disasters domain knowledge
J Liu, Y Dong, Z Liu, D Chen - Expert Systems with Applications, 2022 - Elsevier
The focused crawler based on semantic analysis is a research hotspot in the field of
information retrieval. The domain ontology is generally applied to construct the topic model …
information retrieval. The domain ontology is generally applied to construct the topic model …
Glider: A reinforcement learning approach to extract UI scripts from websites
Web automation scripts (tasklets) are used by personal AI assistants to carry out human
tasks such as reserving a car or buying movie tickets. Generating tasklets today is a tedious …
tasks such as reserving a car or buying movie tickets. Generating tasklets today is a tedious …
Naviqate: Functionality-guided web application navigation
End-to-end web testing is challenging due to the need to explore diverse web application
functionalities. Current state-of-the-art methods, such as WebCanvas, are not designed for …
functionalities. Current state-of-the-art methods, such as WebCanvas, are not designed for …
An efficient focused crawler using LSTM-CNN based deep learning
Focused Crawler searches the internet for topic-specific web pages. Its effectiveness is
determined on the multidimensional nature of the web pages. The main task of any Focused …
determined on the multidimensional nature of the web pages. The main task of any Focused …
Etna: Harvesting action graphs from websites
O Riva, J Kace - The 34th Annual ACM Symposium on User Interface …, 2021 - dl.acm.org
Knowledge bases, such as Google knowledge graph, contain millions of entities (people,
places, etc.) and billions of facts about them. While much is known about entities, little is …
places, etc.) and billions of facts about them. While much is known about entities, little is …
Discovering obscure looking glass sites on the web to facilitate internet measurement research
S Zhuang, JH Wang, J Wang, Z Pan, T Wu, F Li… - Proceedings of the 17th …, 2021 - dl.acm.org
Despite researchers have noticed that Looking Glass (LG) vantage points (VPs) are
valuable for Internet measurement researches, they can only exploit VPs from well-known …
valuable for Internet measurement researches, they can only exploit VPs from well-known …
Tree-based focused web crawling with reinforcement learning
A focused crawler aims at discovering as many web pages relevant to a target topic as
possible, while avoiding irrelevant ones. Reinforcement Learning (RL) has been utilized to …
possible, while avoiding irrelevant ones. Reinforcement Learning (RL) has been utilized to …
A personalized machine-learning-enabled method for efficient research in ethnopharmacology. the case of the southern balkans and the coastal zone of asia minor
Ethnopharmacology experts face several challenges when identifying and retrieving
documents and resources related to their scientific focus. The volume of sources that need to …
documents and resources related to their scientific focus. The volume of sources that need to …
Reinforcement learning approaches in dynamic environments
M Han - 2018 - inria.hal.science
Reinforcement learning is learning from interaction with an environment to achieve a goal. It
is an efficient framework to solve sequential decision-making problems, using Markov …
is an efficient framework to solve sequential decision-making problems, using Markov …
Smart Bilingual Focused Crawling of Parallel Documents
Crawling parallel texts $\unicode {x2014} $ texts that are mutual translations $\unicode
{x2014} $ from the Internet is usually done following a brute-force approach: documents are …
{x2014} $ from the Internet is usually done following a brute-force approach: documents are …