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 mediators that allow users to integrate data from several Web sources rely on wrappers that extract the relevant data from the Web documents. Wrappers turn collections of Web pages into database-like tables by applying a set of extraction rules to each individual document. Even though the extraction rules can be written by humans, this is undesirable because the process is tedious, ...

by Jin Xu The evolution of the World Wide Web has brought us enormous and ever growing amounts of data and information. With the abundant data provided by the web, it has become an important resource for research. Design and implementation of a web mining research support system has become a challenge for people with interest in utilizing information from the web for their research. However, tr...

SHELDON is the first true hybridization of NLP machine reading and the Semantic Web. It extracts RDF data from text using a machine reader: the extracted RDF graphs are compliant to Semantic Web and Linked Data. It goes further and applies Semantic Web practices and technologies to extend the current human-readable web. The input is represented by a sentence in any language. SHELDON includes di...

Data Extraction from the World Wide Web is a well known, non solved, and a critical problem when complex information systems are designed. These problems are related to the extraction, management and reuse of the huge amount of Web data available. These data have usually a high heterogeneity, volatility and low quality (i.e. format and content mistakes), so it is quite hard to build realible sy...

The World Wide Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images serving various different purposes. Identifying the functional categories of these images has important applications including information extraction, web mining, web page summarization and mobile access. This paper describes a study on the functional cate...

In this paper, we address the problem of extracting data records and their attributes from unstructured biomedical full text. There has been little effort reported on this in the research community. We argue that semantics is important for record extraction or finer-grained language processing tasks. We derive a data record template including semantic language models from unstructured text and ...

Information on the web is increasing every minute. Redundancy in information is growing rapidly. Data mining is the technique used to extract this data as per the user’s query. Technically data mining analyzing and summarizing it into useful information. Keyword search is an important tool for exploring and searching large data corpuses whose structure is either unknown, or constantly changing....