An approach for indirect spatial data extraction by learning restricted finite state automata from web documents created using Bulgarian language are outlined in the paper. It uses heuristics to generalize initial finite-state automata that recognizes only the positive examples and nothing else into automata that recognizes as larger language as possible without extracting any non-positive exam...

Web Data Extraction has become a very serious problem especially having vision based features. We have studied different approaches in a lane range of application domains. Many approaches to extracting vision based data from the Web have been designed to solve specific problems and operate in web application domains. Other techniques reuses in the meadow of Information Extraction. This paper ai...

There are many challenges developers face when attempting to reliably extract data from the Web. One of these challenges is the resilience of the extraction system to changes in the web pages information is being extracted from. This article compares the resilience of information extraction systems that use position based extraction with an ontology based extraction system and a system that com...

With the accelerated Internet development a huge amount of data have been accumulated and stored on the Web. Web pages usually contain various contents, which are relevant or irrelevant with the main topic. The extraction of useful or relevant information in mass information becomes more complex and time consuming. Identifying of useful data region is a significant problem for information extra...

Web data extraction becomes a hot topic after the invention of World Wide Web, because the large amount of information on the Web makes it challenging to retrieve useful information. Due to the diverse designs and presentations of information on different Web sites, it is hard to implement a general solution to extract data across different Web sites. This paper presents a novel method based on...

We propose a software architecture for semantics-based annotation of data extracted from Web sources. Starting from the LiXto suite, which enables semi-automated extraction of XML data from regular documents, we present a solution for attaching background information to individual tags by means of so-called decorations. Decoration is carried out as an inferential activity in the formal context ...

We would like to make all the web content usable in the same way as it is in 5 star Linked (Open) Data. We face several challenges. Either there are no LODs in the domain of interest or the data project is no longer maintained or even something is broken (links, SPARQL endpoint etc.). We propose a dynamic logic extension of the semantic model. Data could bear also information about their creati...

This paper studies the problem of extracting data records on the response pages returned from web databases or search engines. Existing solutions to this problem are based primarily on analyzing the HTML DOM trees and tags of the response pages. While these solutions can achieve good results, they are too heavily dependent on the specifics of HTML and they may have to be changed should the resp...