SIMILE is a joint project between MIT Libraries, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), HP Labs and the World Wide Web Consortium (W3C). It is investigating the application of Semantic Web tools, such as the Resource Description Framework (RDF), to the problem of dealing with heterogeneous metadata. This report describes how XML and RDF tools are used to perform da...

Web databases contain a large amount of structured data which are accessible via their query interfaces only. Query results are presented in dynamically generated web pages, usually in the form of data records, for human use. The problem of automatically extracting data records from query result pages is critical for web data integration applications, such as comparison shopping sites, meta-sea...

Web databases contain a huge amount of structured data which are easily obtained via their query interfaces only. Query results are presented in dynamically generated web pages, usually in the form of data records, for human use. Decisive for web data integration applications is the problem of automatically extracting data records from query result pages, such as comparison shopping sites, meta...

We discuss the novel problem of supporting analytical business intelligence queries over web-based textual content, e.g., BI-style reports based on 100.000’s of documents from an ad-hoc web search result. Neither conventional search engines nor conventional Business Intelligence and ETL tools address this problem, which lies at the intersection of their capabilities. “Google Squared” or our sys...

The explosive growth and popularity of the World Wide Web has resulted in a huge number of information sources on the Internet. However, due to the heterogeneity and the lack of structure of Web information sources, access to this huge collection of information has been limited to browsing and keyword searching. Sophisticated Webmining applications, such as comparison shopping, require expensiv...

We discuss the novel problem of supporting analytical business intelligence queries over web-based textual content, e.g., BI-style reports based on 100.000’s of documents from an ad-hoc web search result. Neither conventional search engines nor conventional Business Intelligence and ETL tools address this problem, which lies at the intersection of their capabilities. “Google Squared” or our sys...

This paper studies the problem of identification and extraction of structured data items from the nested and flat records of given web pages. Each of such pages may contain several groups of structured records. Most of the existing methods still have certain limitations. In this paper, we propose a more novel and effective technique for the extraction of data items. Given a page, the proposed t...

Online data request and respond to a user query with result records are programmed in HTML files. Extracting information from the unstructured bases has matured into a significant technical challenge whereas generally, data extraction had to deal with changes in physical hardware plans, the majority of current data mining deals with extracting data from the unstructured data sources, and from d...