Big Data analytics holds the promise of enabling new discoveries in medicine, more efficient business practices, and other important advances. However, much of the data involved in such analyses contains personally identifiable information (PII) that needs to be removed or obscured prior to release in order to protect individuals’ privacy. Anonymizing a dataset is not as easy as it seems, howev...

Previous studies on extracting class attributes from unstructured text consider either Web documents or query logs as the source of textual data. Web search queries have been shown to yield attributes of higher quality. However, since many relevant attributes found in Web documents occur infrequently in query logs, Web documents remain an important source for extraction. In this paper, we intro...

In this paper, a novel Web image processing algorithm is presented for text area identification. Statistics show that a significant part of Web text information is encoded in Web images. Since Web images have special characteristics that sometimes distinguish them from other types of images, commercial OCR products often fail to recognize Web images due to their special key characteristics. Thi...

In this paper, we analyze the nature and distribution of structured data on the Web. Web-scale information extraction, or the problem of creating structured tables using extraction from the entire web, is gathering lots of research interest. We perform a study to understand and quantify the value of Web-scale extraction, and how structured information is distributed amongst top aggregator websi...

Web data extraction software is required by the web analysis services such as Google, Amazon etc. The web analysis services should crawl the web sites of the internet, to analyze the web data. While extracting the web data, the analysis service should visit each and every web page of each web site. But the web pages will have more number of code part and very less quantity of the data part. In ...