Finding proper information from web pages is very difficult. Because we face problems such as most of available data contains unnecessary information such as some product advertisements, Facebook or twitter posts. One more problem is, obtained data is not in structured format. To overcome these problems, we introduce a system which mainly focuses on extracting exact information in top-k list format. List data is very eventful source to retrieving information. This paper work on information extraction from top-k web pages which contains top-k instances for open domain knowledge based. For example-"Top 10 IT companies in India". As compare to structured information from web, Top-k list data is cleaner and ranked. Top-k data has interesting semantics. We propose a system which gives direct top-k list when user enters a search query within minimum time. Extraction of top-k list depends on 1] Extracting web URLs and its titles 2] Removing dust from web URLs 3] Using extraction algorithm extract exact top-k list.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.