Abstract: Methods and systems are provided for automatically generating company profiles. Independent seed source services each crawl web pages to collect seeds from different web-based sources. A seed enricher module can then fetch additional information for each of the collected seeds from other different web-based sources and generate an enriched company seed for each collected seed. The enriched company seeds can then be automatically clustered into different clusters that each represent a particular company. A particular value for each attribute of each cluster that is determined to have the highest score can then be selected for inclusion in a corresponding company profile for that cluster.

Abstract: Methods and systems are provided for automatically enriching collected seeds. Each website that is associated with each collected seed is processed via a web crawler that crawls a home webpage for the company associated with that collected seed to verify, based on similarity between company name and website name, that a website associated with that home page belongs to that company. When verification is successful, other webpages on the website are processed to fetch information using different extractor algorithms each being designed to fetch a specific attribute for that company. Search engine(s) and third-party APIs can also be used to collect additional company information that can be added to each collected seed. Each collected seed is then enriched by adding all of the additional company information to the original seed data.

Abstract: Methods and systems are provided for automatically generating company profiles. Independent seed source services each crawl web pages to collect seeds from different web-based sources. A seed enricher module can then fetch additional information for each of the collected seeds from other different web-based sources and generate an enriched company seed for each collected seed. The enriched company seeds can then be automatically clustered into different clusters that each represent a particular company. A particular value for each attribute of each cluster that is determined to have the highest score can then be selected for inclusion in a corresponding company profile for that cluster.

Abstract: Methods and systems are provided for automatically generating company profiles. Independent seed source services each crawl web pages to collect seeds from different web-based sources. A seed enricher module can then fetch additional information for each of the collected seeds from other different web-based sources and generate an enriched company seed for each collected seed. The enriched company seeds can then be automatically clustered into different clusters that each represent a particular company. A particular value for each attribute of each cluster that is determined to have the highest score can then be selected for inclusion in a corresponding company profile for that cluster.

Abstract: Methods and systems are provided for automatically generating company profiles. Independent seed source services each crawl web pages to collect seeds from different web-based sources. A seed enricher module can then fetch additional information for each of the collected seeds from other different web-based sources and generate an enriched company seed for each collected seed. The enriched company seeds can then be automatically clustered into different clusters that each represent a particular company. A particular value for each attribute of each cluster that is determined to have the highest score can then be selected for inclusion in a corresponding company profile for that cluster.

Abstract: Methods and systems are provided for automatically generating ratings for company profiles stored in a repository. A company rating module can automatically generate a rating score for each company profile stored in the repository by processing a plurality of input metrics. The rating scores can then be used by a CRM application to identify highest ranked company profiles in response to a user input. The highest ranked company profiles are displayed for selection, and when a user selects one of the profiles, fields of a CRM record being created via the CRM application are auto-filled with information from the selected one of the company profiles to auto populate the new CRM record with the data for the selected company profile.

Abstract: Methods and systems are provided for automatically enriching a company profile with a company logo by extracting candidate images from various sources and determining which image most closely corresponds the company logo. A company logo module can search different web-based sources for different images that are candidate logos for the particular company; determine which image most closely corresponds to a company logo for the particular company; select the image that most closely corresponds to the company logo as the company logo to be included in the company profile for the particular company, and add the selected image to the company profile for the particular company to enrich it.

Abstract: Methods and systems are provided for automatically identifying candidates from a plurality of different websites, determining which candidates correspond to company executives for a company profile, and generating an executive profile for the company profile. A company executive determination module can search, using a search engine API, different web-based sources to identify candidate webpages that potentially include information that relates to one or more executives of a particular company having a company profile that is part of a repository; download each of the candidate webpages; extract data from each of the candidate web pages that relates to an executive for the particular company, where the extracted data comprises: executive details that correspond to company executives; process the extracted data to generate at least one executive profile for the company profile; and add the at least one executive profile for the particular company to the company profile to enrich it.

Abstract: Methods and systems are provided for verifying quality of company profiles stored in a repository, and when the company profiles pass a quality test, publishing the repository. A quality gate and publisher module can process information from selected ones of the company profiles that make up the current version of the repository to automatically compute a repository quality score. The repository quality score indicates whether the current version of the repository meets quality standards to publish the current version of the repository to a data store.

Abstract: Methods and systems are provided for automatically determining and selecting correct company names from websites based on HTML extracted from home webpages of different companies. An HTML source file is downloaded from a home webpage of a company, and many candidate company names are extracted from the HTML source file along with support indicators that are used as support for determining the company names. Each support indicator is an extracted name that has been determined to have similarities to the company name extracted from the home webpage of each company. A clustering algorithm clusters similar company names and supporters together into different clusters. A score is computed for each cluster using a heuristic formula, and a cluster having the highest score is selected. Selection rules are then applied to select a top ranked name from each of the selected clusters as a company name.

Abstract: Methods and systems are provided for automatically enriching collected seeds. Each website that is associated with each collected seed is processed via a web crawler that crawls a home webpage for the company associated with that collected seed to verify, based on similarity between company name and website name, that a website associated with that home page belongs to that company. When verification is successful, other webpages on the website are processed to fetch information using different extractor algorithms each being designed to fetch a specific attribute for that company. Search engine(s) and third-party APIs can also be used to collect additional company information that can be added to each collected seed. Each collected seed is then enriched by adding all of the additional company information to the original seed data.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor virtual computing environments are described. An example method includes determining a computing resource status of a computing host that is operating a container engine, comparing the computing resource status to a threshold, and in response to determining that computing resource status does not exceed the threshold, executing a monitoring operation in a container hosted by the container engine.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor virtual computing environments are described. An example method includes determining a computing resource status of a computing host that is operating a container engine, comparing the computing resource status to a threshold, and in response to determining that computing resource status does not exceed the threshold, executing a monitoring operation in a container hosted by the container engine.