Abstract: A method for using dual indices to support query expansion, relevance/non-relevance models, blind/relevance feedback and an intelligent search interface, the method comprising: accessing an inverted index to obtain an initial retrieval of results in response to a query, and to generate a rank list of the results, the results referring to information units (IUs) where the query occurs; and determining a number of “N” IUs in the results that are assumed to be relevant by accessing a forward index; wherein the forward index and inverted index have pointers to locations in the IUs where terms of the query occur, and the forward index retrieves a term frequency vector of the IU or a set of contexts of the IU.

Abstract: A method for using dual indices to support query expansion, relevance/non-relevance models, blind/relevance feedback and an intelligent search interface, the method comprising: accessing an inverted index to obtain an initial retrieval of results in response to a query, and to generate a rank list of the results, the results referring to information units (IUs) where the query occurs; and determining a number of “N” IUs in the results that are assumed to be relevant by accessing a forward index; wherein the forward index and inverted index have pointers to locations in the IUs where terms of the query occur, and the forward index retrieves a term frequency vector of the IU or a set of contexts of the IU.

Abstract: A method for using dual indices to support query expansion, relevance/non-relevance models, blind/relevance feedback and an intelligent search interface, comprising using a computing device to: access an inverted index to obtain an initial retrieval of results in response to a query, and to generate a rank list of the results, the results referring to information units (IUs) where the query occurs; and determine a number of “N” IUs in the results that are regarded by the computing device to be relevant by accessing a forward index; and use the forward index to perform any one from the group consisting of: computing query expansion weights for top “N” retrieved IUs, building the relevance models by the contexts of query terms in the top “N” retrieved IUs, and finding the longest contiguous sequences of query terms in a query found in an IU; wherein the forward index and inverted index have pointers to locations in the IUs where terms of the query occur, and the forward index retrieves a term frequency vector o

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A method for using dual indices to support query expansion, relevance/non-relevance models, blind/relevance feedback and an intelligent search interface, comprising using a computing device (89) to: access (101) an inverted index (103) to obtain an initial retrieval of results in response to a query, and to generate a rank list of the results, the results referring to information units (IUs) where the query occurs; and determine (105) a number of “N” IUs in the results that are assumed to be relevant by accessing a forward index (104); wherein the forward index (104) and inverted index (103) have pointers to locations in the IUs where terms of the query occur, and the forward index (104) retrieves a term frequency vector of the IU or a set of contexts of the IU.

Abstract: A methods for storing a searchable set of keywords includes concatenating the keywords to form a string, and defining one or more links between two or more characters in the string. A delimiting character separates the keywords in the string, and the links are pointers. Any inaccessible characters in the string are removed to improve the storage cost the method.

Abstract: A tree data structure for storing strings of searchable data divided into substrings has at least one first type node that has a substring associated with it and at least one second type node that does not having a substring associated with it. A second type node is directly linked to a first type node by a fail transition. A first type node is directly linked to a second type node by a match transition. An IP address lookup system has memory for storing a tree data structure and a controller for storing and loading an incoming IP address. The system has a finite state machine having three stages including a first stage for loading the IP address and performing a length calculation, a second stage for searching the data structure to find a match, and a third stage for determine the next-hop address index.

Abstract: A methods for storing a searchable set of keywords includes concatenating the keywords to form a string, and defining one or more links between two or more characters in the string. A delimiting character separates the keywords in the string, and the links are pointers. Any inaccessible characters in the string are removed to improve the storage cost the method.