Abstract: Subject matter described herein includes a multi-layer search-engine index. Accordingly, the search-engine index is divided into multiple indexes, each of which includes a respective set of information used to serve (i.e., respond to) a query. One index includes a term index, which organizes a set of terms that are found among a collection of documents. Another index includes a document index, which organizes a set of documents that are searchable. A computing device is used to serve the search-engine index (i.e., to analyze the index when identifying documents relevant to a search query). For example, a solid-state device might be used to serve the multi-layer search-engine index.

Abstract: Subject matter described herein includes a multi-layer search-engine index. Accordingly, the search-engine index is divided into multiple indexes, each of which includes a respective set of information used to serve (i.e., respond to) a query. One index includes a term index, which organizes a set of terms that are found among a collection of documents. Another index includes a document index, which organizes a set of documents that are searchable. A computing device is used to serve the search-engine index (i.e., to analyze the index when identifying documents relevant to a search query). For example, a solid-state device might be used to serve the multi-layer search-engine index.

Abstract: Subject matter described herein includes a multi-layer search-engine index. Accordingly, the search-engine index is divided into multiple indexes, each of which includes a respective set of information used to serve (i.e., respond to) a query. One index includes a term index, which organizes a set of terms that are found among a collection of documents. Another index includes a document index, which organizes a set of documents that are searchable. A computing device is used to serve the search-engine index (i.e., to analyze the index when identifying documents relevant to a search query). For example, a solid-state device might be used to serve the multi-layer search-engine index.

Abstract: Tools and techniques are described herein for checkpointing iterators during search. These tools may provide methods that include instantiating iterators in response to a search request. The iterators include fixed state information that remains constant over a life of the iterator, and further include dynamic state information that is updated over the life of the iterator. The iterators traverse through postings lists in connection with performing the search request. As the iterators traverse the posting lists, the iterators may update their dynamic state information. The iterators may then evaluate whether to create checkpoints, with the checkpoints including representations of the dynamic state information.

Abstract: Computer-readable media and a computer system for implementing a natural language search using fact-based structures and for generating such fact-based structures are provided. A fact-based structure is generated using a semantic structure, which represents information, such as text, from a document, such as a web page. Typically, a natural language parser is used to create a semantic structure of the information, and the parser identifies terms, as well as the relationship between the terms. A fact-based structure of a semantic structure allows for a linear structure of these terms and their relationships to be created, while also maintaining identifiers of the terms to convey the dependency of one fact-based structure on another fact-based structure. Additionally, synonyms and hypernyms are identified while generating the fact-based structure to improve the accuracy of the overall search.

Abstract: Tools and techniques are described herein for checkpointing iterators during search. These tools may provide methods that include instantiating iterators in response to a search request. The iterators include fixed state information that remains constant over a life of the iterator, and further include dynamic state information that is updated over the life of the iterator. The iterators traverse through postings lists in connection with performing the search request. As the iterators traverse the posting lists, the iterators may update their dynamic state information. The iterators may then evaluate whether to create checkpoints, with the checkpoints including representations of the dynamic state information.

Abstract: Tools and techniques are described herein for checkpointing iterators during search. These tools may provide methods that include instantiating iterators in response to a search request. The iterators include fixed state information that remains constant over a life of the iterator, and further include dynamic state information that is updated over the life of the iterator. The iterators traverse through postings lists in connection with performing the search request. As the iterators traverse the posting lists, the iterators may update their dynamic state information. The iterators may then evaluate whether to create checkpoints, with the checkpoints including representations of the dynamic state information.

Abstract: Subject matter described herein includes a multi-layer search-engine index. Accordingly, the search-engine index is divided into multiple indexes, each of which includes a respective set of information used to serve (i.e., respond to) a query. One index includes a term index, which organizes a set of terms that are found among a collection of documents. Another index includes a document index, which organizes a set of documents that are searchable. A computing device is used to serve the search-engine index (i.e., to analyze the index when identifying documents relevant to a search query). For example, a solid-state device might be used to serve the multi-layer search-engine index.

Abstract: Word sense probabilities are compressed for storage in a semantic index. Each word sense for a word is mapped to one of a number of “buckets” by assigning a bucket score to the word sense. A scoring function is utilized to assign the bucket scores that maximizes the entropy of the assigned bucket scores. Once the bucket scores have been assigned to the word senses, the bucket scores are stored in the semantic index. The bucket scores stored in the semantic index may be utilized to prune one or more of the word senses prior to construction of the semantic index. The bucket scores may also be utilized to prune and rank the word senses at the time a query is performed using the semantic index.

Abstract: A role tree having nodes corresponding to semantic roles in a hierarchy is defined. A posting list is generated for each association of a term and a semantic role in the hierarchy. The posting lists are stored contiguously on a physical storage medium such that a subtree of the hierarchy of semantic roles can be loaded from the storage medium as a single contiguous block. The posting lists for a subtree of the hierarchy are retrieved by obtaining data identifying the beginning location on the physical storage medium of the posting lists for the term at the top of a desired subtree of the hierarchy and data identifying the length of the posting lists of the desired subtree of the hierarchy. A single contiguous block that includes the posting lists for the desired subtree of the hierarchy is then retrieved from the beginning location through the specified length.

Abstract: Tools and techniques are described that relate to iterators for applying term occurrence-level constraints in natural language searching. These tools may receive a natural language input query, and define term occurrence-level constraints applicable to the input query. The methods may also identify facts requested in the input query, and may instantiate an iterator to traverse a fact index to identify candidate facts responsive to the input query. This iterator may traverse through at least a portion of the fact index. The methods may receive candidate facts from this iterator, with these candidate facts including terms, referred to as term-level occurrences. The methods may apply the term occurrence-level constraints to the term-level occurrences. The methods may select the candidate fact for inclusion in search results for the input query, based at least in part on applying the term occurrence-level constraint.

Abstract: A turn-key solution is provided for the live Internet audio/video broadcasting and the transferring of previously recorded material. A system shares audio/video data over a network by utilizing a compact, camera-mountable video/audio encoder and a connection module mounted to a video camera. The video/audio encoder includes a connection interface for receiving the audio/video data, a digital signal processor for encoding the audio/video data, and a network interface for coupling the video/audio encoder to a network, such as the Internet. The connection module mounts the video/audio encoder to the video camera and provides an electronic interface to the camera to transfer the audio/video data from the camera to the video/audio encoder through the connection interface. A remote controller including a user interface enables the addition of metadata to the audio/video file over a personal area network connection.

Abstract: The present invention is directed to systems and methods for searching content items indexed in real-time. The method according to one embodiment comprises generating an index of word location pairs that identifies the location of one or more words in one or more content items available on a network. One or more additional content items are received over the network. The received content items are stored in a stream search queue, the stream search queue operative to allow for a stream search of the one or more additional content items.

Abstract: Access control systems and methods regulate access to shared content items in a corpus using visibility tokens. A user provides other users with access to a content item by associating a content token with the content item and associating a matching user token with each user who is to be granted access. A user who attempts to access the content item succeeds only if that user has a user token matching the content token associated with the content item. User tokens can be propagated automatically from one user to another, e.g., based on trust relationships among the users. Content tokens can be indexed with content items so that when a user searches the corpus, a search engine can detect matches between user tokens and content tokens and filter the search results based on whether they are visible to the querying user.

Abstract: A role tree having nodes corresponding to semantic roles in a hierarchy is defined. A posting list is generated for each association of a term and a semantic role in the hierarchy. The posting lists are stored contiguously on a physical storage medium such that a subtree of the hierarchy of semantic roles can be loaded from the storage medium as a single contiguous block. The posting lists for a subtree of the hierarchy are retrieved by obtaining data identifying the beginning location on the physical storage medium of the posting lists for the term at the top of a desired subtree of the hierarchy and data identifying the length of the posting lists of the desired subtree of the hierarchy. A single contiguous block that includes the posting lists for the desired subtree of the hierarchy is then retrieved from the beginning location through the specified length.

Abstract: Word sense probabilities are compressed for storage in a semantic index. Each word sense for a word is mapped to one of a number of “buckets” by assigning a bucket score to the word sense. A scoring function is utilized to assign the bucket scores that maximizes the entropy of the assigned bucket scores. Once the bucket scores have been assigned to the word senses, the bucket scores are stored in the semantic index. The bucket scores stored in the semantic index may be utilized to prune one or more of the word senses prior to construction of the semantic index. The bucket scores may also be utilized to prune and rank the word senses at the time a query is performed using the semantic index.

Abstract: Tools and techniques are described that relate to iterators for applying term occurrence-level constraints in natural language searching. These tools may receive a natural language input query, and define term occurrence-level constraints applicable to the input query. The methods may also identify facts requested in the input query, and may instantiate an iterator to traverse a fact index to identify candidate facts responsive to the input query. This iterator may traverse through at least a portion of the fact index. The methods may receive candidate facts from this iterator, with these candidate facts including terms, referred to as term-level occurrences. The methods may apply the term occurrence-level constraints to the term-level occurrences. The methods may select the candidate fact for inclusion in search results for the input query, based at least in part on applying the term occurrence-level constraint.

Abstract: Tools and techniques are described herein for checkpointing iterators during search. These tools may provide methods that include instantiating iterators in response to a search request. The iterators include fixed state information that remains constant over a life of the iterator, and further include dynamic state information that is updated over the life of the iterator. The iterators traverse through postings lists in connection with performing the search request. As the iterators traverse the posting lists, the iterators may update their dynamic state information. The iterators may then evaluate whether to create checkpoints, with the checkpoints including representations of the dynamic state information.

Abstract: A system and method for dynamically composing a class is provided. A query is parsed and a compiler object tree is generated that corresponds to the operators in the query. A set of feature requests and responses are initiated and a set of feature objects are generated that are executed at runtime. The language of the query may be extended by registering a new operator, and optionally a new feature for a query language, with a search engine without modifying the source code of the search engine. The new operator may be specified in a plug-in and provided to the search engine via the plug-in. An application converts an end user query into an application query that conforms to the query language supported by the search engine and includes the new operator. The application query may also include references to traditional programming constructs and search engine primitives.

Abstract: The new and distinct Papaver orientale plant named ‘Flamenco Dancer’ with deeply fringed red petals, large, upright, cupped flowers on sturdy stems suitable for landscaping in mass or as a specimen plant.