Semantic Analysis of Web Pages Using Web Patterns
Miloš Kudělka, Václav Snåšel, Ondřej Lehečka, Eyas El‐Qawasmeh
Abstract
Miloš Kudělka, Václav Snåšel, Ondřej Lehečka, Eyas El‐Qawasmeh
Abstract
This paper introduces a novel method for semantic analysis of Web pages. Analysis is performed with regard to unwritten and empirically proven agreement between users and Web designers using Web patterns. This method is based on extraction of patterns which are characteristics for concrete domain. Patterns provide formalization of the agreement and allow assignment of semantics to parts of Web pages. Experimental results verify the effectives of the proposed method
OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper introduces a novel method for semantic analysis of Web pages. Analysis is performed with regard to unwritten and empirically proven agreement between users and Web designers using Web patterns. This method is based on extraction of patterns which are characteristics for concrete domain. Patterns provide formalization of the agreement and allow assignment of semantics to parts of Web pages. Experimental results verify the effectives of the proposed method
Key concepts: Computer science, Web page, Semantic Web Stack, Social Semantic Web, World Wide Web, Data Web, Semantic Web, Web standards