The Web is a valuable repository of information. However, its size and its lack of structure difficult the search and extraction of knowledge. In this paper, we propose an automatic and autonomous methodology to retrieve and represent information from the Web in a standard way for a desired domain. It is based on the intensive use of a publicly available search engine and the analysis of a larg...

Tables on web pages contain a huge amount of semantically explicit information, which makes them a worthwhile target for automatic information extraction and knowledge acquisition from the Web. However, the task of table extraction from web pages is difficult, because of HTML’s design purpose to convey visual instead of semantic information. In this paper, we propose a robust technique for tabl...

Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to solve this problem by applying machine learning to automatically generate extractors. For example, WIEN, Stalker, Softmealy, etc. However, this approach still requires human intervention to provide training examples. In...

Information Extraction (IE) is the technique for transforming unstructured textual data into structured representation that can be understood by machines. The exponential growth of the Web generates an exceptional quantity of data for which automatic knowledge capture is essential. This work describes the methodology for Web scale Information Extraction adopted by the LODIE project (Linked Open...

Information Extraction from Unstructured Web Text

ISSN 2250 – 107X | © 2011 Bonfring Abstract--The World Wide Web has more online web database which can be searched through their web query interface. Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages. Extracting structured data from deep Web pages is a challenging task due to the underlying complic...

The enormous amount of information available through the World Wide Web requires the development of effective tools for extracting and summarizing relevant data from Web sources. In this article we present a data model for representing Web documents and an associated SQL-like query language. Our framework provides an easy-to-use and well-formalized method for automatic generation of wrappers ex...

Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical intere...

This paper gives an overview of the WEB Task at the Fourth NTCIR Workshop (‘NTCIR-4 WEB’) conducted from 2003 to 2004. Through the NTCIR-4 WEB, we investigated the evaluation methods used to measure some tasks of Web information access, such as information retrieval, information classification, and information extraction. We used a 100-gigabyte document dataset that was mainly gathered from the...

This paper presents some requirements for a new ontology-based authoring environment. By analyzing some systems that use ontologies for several tasks, we identified some features and purposes and showed how they can contribute to help define a new authoring environment based on ontologies to represent information before a document is published. The systems analysed fulfil specific tasks such as...