The process of document annotation for the Semantic Web is complex and time consuming, as it requires a great deal of manual annotation. Information extraction from texts (IE) is a technology used by some of the most recent systems for actively supporting users in the process and reducing the burden of annotation. The integration of IE systems in annotation tools is quite a new development and ...

Open Information Extraction (Open IE) serves for the analysis of vast amounts of texts by extraction of assertions, or relations, in the form of tuples 〈argument 1; relation; argument 2〉. Various approaches to Open IE have been designed to perform in a fast, unsupervised manner. All of them require language specific information for their implementation. In this work, we introduce an approach to...

Information Extraction from the Web: Techniques and Applications

It is attractive to extract parts of Web pages for the following two purposes. One is to clip parts of Web pages as we clip articles of newspapers. Another is to utilize information on Web pages by software. In this paper we define operations to extract parts of Web pages, namely path set operations. The operations are for both clipping of parts of Web pages and information extraction from Web ...

A new approach to large-scale information extraction exploits both Web documents and query logs to acquire thousands of opendomain classes of instances, along with relevant sets of open-domain class attributes at precision levels previously obtained only on small-scale, manually-assembled classes.

Web has been one of major sources to acquire competitor intelligence. In this paper, we first present a framework to acquire competitor intelligence from the Web, which consists of profile extraction, events extraction and business relations extraction. Then we investigate the semantics of business relations in detail. A classification of business relations is presented, based on which a concep...

Within the larger area of automatic acquisition of knowledge from the Web, we introduce a method for extracting relevant attributes, or quantifiable properties, for various classes of objects. The method extracts attributes such as capital city and President for the class Country, or cost, manufacturer and side effects for the classDrug, without relying on any expensive language resources or co...

The internet has become an attractive avenue for global e-business, e-learning, knowledge sharing, etc. Due to continuous increase in the volume of web content, it is not practically possible for a user to extract information by browsing and integrating data from a huge amount of web sources retrieved by the existing search engines. The semantic web technology enables advancement in information...