Abstract: A computer-implemented method and system for searching over queries, writing and performing a data query. The computer-implemented method includes analyzing the query to understand elements described in the query. Further, the computer-implemented method includes extracting aliases for expressions to identify alternate names. Furthermore, the computer-implemented method includes allowing a user to annotate the elements. Moreover, the computer-implemented method includes establishing whether the query contains content for defining a new query, and if so, then enables writing a query according to a shorthand system.

Abstract: A computer-implemented method and system for searching over queries, writing and performing a data query. The computer-implemented method includes analyzing the query to understand elements described in the query. Further, the computer-implemented method includes extracting aliases for expressions to identify alternate names. Furthermore, the computer-implemented method includes allowing a user to annotate the elements. Moreover, the computer-implemented method includes establishing whether the query contains content for defining a new query, and if so, then enables writing a query according to a shorthand system.

Abstract: A system for testing of an application programming interface (API) is disclosed. The system includes a usage data collection source to track a trace identity associated with at least one message exchange pattern of the API using an end to end tracing (E2E) technique, captures usage data of an application in one or more modes, wherein the usage data corresponds to the trace identity. A usage data selection subsystem selects a predefined strata of usage data. A test case generation learning subsystem generates multiple test cases. A mocking subsystem use the trace identity to simulate the at least one message pattern associated with the usage data from a current version of the application against an updated version of the application. A comparison subsystem records an actual result, compares the actual result with an expected result and generates a test result upon comparison of the actual result with the expected result.

Abstract: A computer-implemented method and system for searching over queries, writing and performing a data query. The computer-implemented method includes analyzing the query to understand elements described in the query. Further, the computer-implemented method includes extracting aliases for expressions to identify alternate names. Furthermore, the computer-implemented method includes allowing a user to annotate the elements. Moreover, the computer-implemented method includes establishing whether the query contains content for defining a new query, and if so, then enables writing a query according to a shorthand system.

Abstract: Embodiments for identifying an entity synonym of an entity are described. A query log is stored in a database located on at least one computing device. A candidate generation module can select a candidate query in the query log that shares a click on a URL with the entity. A correlated tag module can generate a set of phrase-tag pairs for the entity and the candidate query and measure a mutual information value for each phrase-tag pair. A candidate filtering module can determine a click similarity value between the candidate query and the entity based on a set of URLs selected in the search engine results and a tag similarity value based on the mutual information values. A candidate query is selected as an entity synonym if the click similarity value and the tag similarity value are greater than predetermined thresholds respectively.

Abstract: A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.

Abstract: Disclosed are a method, a device and/or a system of editable and searchable markup pages automatically populated through query monitoring of users of a database. In one aspect, a method includes automatically generating an editable markup page and/or a page name based on an initial query of a database using a processor and a memory, associating the generated markup page with a user of the database, and appending information to the editable markup page based on a similar query of the database by another user. The method may include permitting other users of the database to access, modify, append, and/or delete entries from the editable mark-up page.

Abstract: Disclosed are a method, a device and/or a system of assisted query formation, validation, and result previewing in a database having a complex schema. In one aspect, a method of a query editor includes generating a data profile which includes a set of characteristics captured at various granularities of an initial result set generated from an initial query using a processor and a memory. The method determines what a user expects in the initial result set of the initial query and/or a subsequent result set of a subsequent query based on the data profile and/or a heuristically estimated data profile. The method includes enabling the user to evaluate a semantic accuracy of the subsequent query based on the likely expectation of the user as determined through the set of characteristics of the data profile. The set of characteristics may include metadata of the initial query.

Abstract: Disclosed are a method, a device and/or a system of assisted query formation, validation, and result previewing in a database having a complex schema. In one aspect, a method of a query editor includes generating a data profile which includes a set of characteristics captured at various granularities of an initial result set generated from an initial query using a processor and a memory. The method determines what a user expects in the initial result set of the initial query and/or a subsequent result set of a subsequent query based on the data profile and/or a heuristically estimated data profile. The method includes enabling the user to evaluate a semantic accuracy of the subsequent query based on the likely expectation of the user as determined through the set of characteristics of the data profile. The set of characteristics may include metadata of the initial query.

Abstract: In one embodiment, a method of a curated answers system includes automatically populating a profile markup page of a user with information describing an initial query of a database that the user has generated using a processor and a memory, determining that another user of the database has submitted a similar query that is semantically proximate to the initial query of the database that the user has generated, and presenting the profile markup page of the user to the other user. The method of the curated answers system may include enabling the other user to communicate with the user through a communication channel on the profile markup page. A question of the other user may be published to the user on the profile markup page of the user, and/or other profile markup page of the other user. The question may be associated as being posted by the other user.

Abstract: A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.

Abstract: Disclosed are a method, a device and/or a system of assisted query formation, validation, and result previewing in a database having a complex schema. In one aspect, a method of a query editor includes generating a data profile which includes a set of characteristics captured at various granularities of an initial result set generated from an initial query using a processor and a memory. The method determines what a user expects in the initial result set of the initial query and/or a subsequent result set of a subsequent query based on the data profile and/or a heuristically estimated data profile. The method includes enabling the user to evaluate a semantic accuracy of the subsequent query based on the likely expectation of the user as determined through the set of characteristics of the data profile. The set of characteristics may include metadata of the initial query.

Abstract: In one embodiment, a method of a curated answers system includes automatically populating a profile markup page of a user with information describing an initial query of a database that the user has generated using a processor and a memory, determining that another user of the database has submitted a similar query that is semantically proximate to the initial query of the database that the user has generated, and presenting the profile markup page of the user to the other user. The method of the curated answers system may include enabling the other user to communicate with the user through a communication channel on the profile markup page. A question of the other user may be published to the user on the profile markup page of the user, and/or other profile markup page of the other user. The question may be associated as being posted by the other user.

Abstract: Disclosed are a method, a device and/or a system of assisted query formation, validation, and result previewing in a database having a complex schema. In one aspect, a method of a query editor includes generating a data profile which includes a set of characteristics captured at various granularities of an initial result set generated from an initial query using a processor and a memory. The method determines what a user expects in the initial result set of the initial query and/or a subsequent result set of a subsequent query based on the data profile and/or a heuristically estimated data profile. The method includes enabling the user to evaluate a semantic accuracy of the subsequent query based on the likely expectation of the user as determined through the set of characteristics of the data profile. The set of characteristics may include metadata of the initial query.

Abstract: Disclosed are a method, a device and/or a system of editable and searchable markup pages automatically populated through query monitoring of users of a database. In one aspect, a method includes automatically generating an editable markup page and/or a page name based on an initial query of a database using a processor and a memory, associating the generated markup page with a user of the database, and appending information to the editable markup page based on a similar query of the database by another user. The method may include permitting other users of the database to access, modify, append, and/or delete entries from the editable mark-up page.

Abstract: A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.

Abstract: Identifying synonyms of entities using a collection of documents is disclosed herein. In some aspects, a document from a collection of documents may be analyzed to identify hit sequences that include one or more tokens (e.g., words, number, etc.). The hit sequences may then be used to generate discriminating token sets (DTS's) that are subsets of both the hit sequences and the entity names. The DTS's are matched with corresponding entity names, and then used to create DTS phrases by selecting adjacent text in the document that is proximate to the DTS. The DTS phrases may be analyzed to determine whether the corresponding DTS is synonyms of the entity name. In various aspects, the tokens of an associated entity name that are present in the DTS phrases are used to generate a score for the DTS. When the score at least reaches a threshold, the DTS may be designated as a synonym. A list of synonyms may be generated for each entity name.

Abstract: This patent application relates to taxonomy editing. One implementation involves a taxonomy editor configured to generate a visual representation of a taxonomy associated with a set of scientific papers. The taxonomy editor includes a properties module configured to identify properties relating to an individual node of the taxonomy and a statistics module configured to determine trends relating to the individual node. The taxonomy editor further includes a similarity module configured to evaluate keyword similarity relative to individual scientific papers associated with the individual node. The taxonomy editor also includes a suggestion module configured to utilize the properties, the trends and the keyword similarity to identify potential modifications to the taxonomy. The taxonomy editor is further configured to present at least some of the potential modifications, the properties, the trends, and the keyword similarity concurrently with the visual representation of the taxonomy.

Abstract: A deduplication algorithm that provides improved accuracy in data deduplication by using aggregate and/or groupwise constraints. Deduplication is accomplished using only as many of these constraints that are satisfied rather than be imposed inflexibly as hard constraints. Additionally, textual similarity between tuples is leveraged to restrict the search space. The algorithm begins with a coarse initial partition of data records and continues by raising the similarity threshold until the threshold splits a given partition. This sequence of splits defines a rich space of alternatives. Over this space, an algorithm finds a partition of the input that maximizes constraint satisfaction. In the context of groupwise aggregation constraints for deduplication all SQL (structured query language) aggregates are allowed, including summation.

Abstract: Architecture for finding related entities for web search queries. An extraction component takes a document as input and outputs all the mentions (or occurrences) of named entities such as names of people, organizations, locations, and products in the document, as well as entity metadata. An indexing component takes a document identifier (docID) and the set of mentions of named entities and, stores and indexes the information for retrieval. A document-based search component takes a keyword query and returns the docIDs of the top documents matching with the query. A retrieval component takes a docID as input, accesses the information stored by the indexing component and returns the set of mentions of named entities in the document. This information is then passed to an entity scoring and thresholding component that computes an aggregate score of each entity and selects the entities to return to the user.