Abstract: Systems and methods for enhanced advertising using semantic search are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a semantic group with which content of a search result relates, further determining a facet of the semantic group with which the content of the search result relates, identifying an advertisement based on the facet of the semantic group, assigning an index to the advertisement as being associated with the facet of the semantic group, storing the index of the advertisement in a machine-readable storage medium, and/or presenting the advertisement to the user for viewing in a user interface in conjunction with the search result.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Abstract: Systems and methods for automatic mapping of a location identifier pattern of an object to a semantic type using object metadata are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags associated with a website that is hosted by a web server. The method further includes, detecting a web page in the website in which a tag of the set of tags is identified, extracting a pattern from a Universal Resource Locator (URL) of the web page, and/or storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type. The tag corresponds to a semantic type with which the content embodied in the web page has a semantic relationship and the pattern corresponds to the semantic type with which the content embodied in the web page has a semantic relationship.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Abstract: An application that enables users to effectively utilize and manage knowledge and data the user posses and allows other users to effectively and seamlessly benefit from the user's knowledge and data over a computer network is also disclosed. A method of processing content created by a user utilizing a semantic, ontology-driven portal on a computer network is described. The semantic portal application provides the user with a content base, such as a semantic form or meta-form, for creating a semantic posting. The semantic portal utilizes a knowledge data structure, such as a taxonomy or ontology, in preparing a semantic posting based on the information provided by the user via the content base. The semantic portal application prepares a preview of a semantic posting for evaluation by the user. The semantic posting is then either modified by the user or accepted and posted by the user for external parties to view.

Abstract: Systems and methods for generating user-customized search results and building a semantics-enhanced search engine are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of generating user-customized search results using user-defined semantic types. The method includes, identifying a first set of URI patterns that are associated with a first set of semantic types defined by a first user, storing the first set of URI patterns in a database embodied in a computer-readable storage medium, and/or semantically categorizing a first set of search results for the first user, as having content related to one or more of the first set of semantic types defined by the first user. The first set of search results can be categorized using the first set of URI patterns.

Abstract: Systems and methods for generating user-customized search results and building a semantics-enhanced search engine are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of generating user-customized search results using user-defined semantic types. The method includes, identifying a first set of URI patterns that are associated with a first set of semantic types defined by a first user, storing the first set of URI patterns in a database embodied in a computer-readable storage medium, and/or semantically categorizing a first set of search results for the first user, as having content related to one or more of the first set of semantic types defined by the first user. The first set of search results can be categorized using the first set of URI patterns.

Abstract: Systems and methods of a knowledge management networking are disclosed here. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of hosting a web-space having a plurality of objects, the plurality of objects to include one or more of, representations of a set of users, a set of web-items, and a set of nets; wherein a net of the set of nets is a subset of the web-space comprising a sub-plurality of the plurality of objects.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Abstract: Systems and methods for automatic mapping of a location identifier pattern of an object to a semantic type using object metadata are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags associated with a website that is hosted by a web server. The method further includes, detecting a web page in the website in which a tag of the set of tags is identified, extracting a pattern from a Universal Resource Locator (URL) of the web page, and/or storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type. The tag corresponds to a semantic type with which the content embodied in the web page has a semantic relationship and the pattern corresponds to the semantic type with which the content embodied in the web page has a semantic relationship.

Abstract: Systems and methods for automatic mapping of a location identifier pattern of an object to a semantic type using object metadata are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags associated with a website that is hosted by a web server. The method further includes, detecting a web page in the website in which a tag of the set of tags is identified, extracting a pattern from a Universal Resource Locator (URL) of the web page, and/or storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type. The tag corresponds to a semantic type with which the content embodied in the web page has a semantic relationship and the pattern corresponds to the semantic type with which the content embodied in the web page has a semantic relationship.

Abstract: Systems and methods for automatic mapping of a location identifier pattern of an object to a semantic type using object metadata are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags associated with a website that is hosted by a web server. The method further includes, detecting a web page in the website in which a tag of the set of tags is identified, extracting a pattern from a Universal Resource Locator (URL) of the web page, and/or storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type. The tag corresponds to a semantic type with which the content embodied in the web page has a semantic relationship and the pattern corresponds to the semantic type with which the content embodied in the web page has a semantic relationship.

Abstract: Systems and methods for enhanced advertising using semantic search are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a semantic group with which content of a search result relates, further determining a facet of the semantic group with which the content of the search result relates, identifying an advertisement based on the facet of the semantic group, assigning an index to the advertisement as being associated with the facet of the semantic group, storing the index of the advertisement in a machine-readable storage medium, and/or presenting the advertisement to the user for viewing in a user interface in conjunction with the search result.

Abstract: Systems and methods for generating user-customized search results and building a semantics-enhanced search engine are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of generating user-customized search results using user-defined semantic types. The method includes, identifying a first set of URI patterns that are associated with a first set of semantic types defined by a first user, storing the first set of URI patterns in a database embodied in a computer-readable storage medium, and/or semantically categorizing a first set of search results for the first user, as having content related to one or more of the first set of semantic types defined by the first user. The first set of search results can be categorized using the first set of URI patterns.

Abstract: Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.