Abstract: A system and method for prioritizing a fetch order of web pages. The method comprises extracting by a web crawler a set of candidate web pages to be crawled. Each web page in the set of candidate web pages is associated with a website in a computer network. A determination is made to determine if a first website score for the website is in a website score database. The first website score is associated with web pages in the set of candidate web pages if the first website score exists in the website score database. The set of candidate web pages is prioritized with respect to an associated website score for each web page in the candidate set of web pages. Content is retrieved from the set of candidate web. Hyperlinks are extracted from the content. The hyperlinks are stored in a memory unit.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.

Abstract: A system and method for prioritizing a fetch order of web pages. The method comprises extracting by a web crawler a set of candidate web pages to be crawled. Each web page in the set of candidate web pages is associated with a website in a computer network. A determination is made to determine if a first website score for the website is in a website score database. The first website score is associated with web pages in the set of candidate web pages if the first website score exists in the website score database. The set of candidate web pages is prioritized with respect to an associated website score for each web page in the candidate set of web pages. Content is retrieved from the set of candidate web. Hyperlinks are extracted from the content. The hyperlinks are stored in a memory unit.

Abstract: A system and method for prioritizing a fetch order of web pages. The method comprises extracting by a web crawler a set of candidate web pages to be crawled. Each web page in the set of candidate web pages is associated with a website in a computer network. A determination is made to determine if a first website score for the website is in a website score database. The first website score is associated with web pages in the set of candidate web pages if the first website score exists in the website score database. The set of candidate web pages is prioritized with respect to an associated website score for each web page in the candidate set of web pages. Content is retrieved from the set of candidate web. Hyperlinks are extracted from the content. The hyperlinks are stored in a memory unit.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.

Abstract: To respond to queries that relate to co-occurring entities on the Web, a compact sparse matrix representing entity co-occurrences is generated and then accessed to satisfy queries. The sparse matrix has groups of sub-rows, with each group corresponding to an entity in a document corpus. The groups are sorted from most occurring entity to least occurring entity. Each sub-row within a group corresponds to an entity that co-occurs in the document corpus, within a co-occurrence criterion, with the entity represented by the group, and to facilitate query response the sub-rows within a group are sorted from most occurring co-occurrence to least occurring co-occurrence.