International Business Machines Corporation

Neeraj Agrawal

Sachindra Joshi

Sreeram Viswanath Balakrishnan

Raghuram Krishnapuram

Sumit Negi

Scott Holmes

Ana Lelescu

Kiran Mehta

Hongcheng Mi

A method () of crawling the Web () is disclosed. The method () crawls () Web pages on the Web starting from a given () set of seed Universal Resource Locators (URLs). Crawled Web pages are partitioned () into sets of relevant and irrelevant pages. A set of exclusion and/or inclusion patterns are discovered () from the sets of relevant and irrelevant pages, and subsequent crawling of the Web is restricted through the set of exclusion and/or inclusion patterns.

System and method for focused re-crawling of web sites

A cost efficient solution for supporting and deploying custom text analytics applications suited is to provide third party application developers a sand-boxed application development environment such as an appliance computer system, allowing users to leverage data integration, indexing and pre-existing mining platform capabilities for a domain-specific data. Thus, embodiments herein present a system, method, etc. for identifying and delivering domain specific unstructured content for advanced business analysis. The system generally comprises a cluster computer system, a gateway computer system and an appliance computer system.

Automated process for identifying and delivering domain specific unstructured content for advanced business analysis

System and a method for focused re-crawling of Web sites

Documents are represented based on their structure, which arises from the relationship between various elements in the document. After representing documents based on their structure in vector form, a method of measuring similarity between vectors is used to obtain the measure of structural similarity between two given documents.

Determining structural similarity in semi-structured documents

Growing community of inventors

New Delhi, India

Neeraj Agrawal