JP2017504105A5

JP2017504105A5 -

Info

Publication number: JP2017504105A5
Application number: JP2016536900A
Authority: JP
Filing date: 2014-12-02
Publication date: 2018-01-11

Claims

An entity extraction computer receives user input of search query parameters from a user interface, wherein the user interface is presented at the user computer;
Comparing search query parameters with an entity co-occurrence database having co-occurrence instances of one or more entities in an electronic data corpus in real time when search query data is requested by a user computer by an entity extraction computer; And extracting one or more entities from the search question parameter by identifying at least one entity type corresponding to the one or more entities in the search question parameter;
The fuzzy score matching computer selects an fuzzy matching algorithm that searches the entity co-occurrence database to identify one or more records related to the search query parameter in real time when search query data is requested by the user computer And the fuzzy matching algorithm corresponds to at least one identified entity type, and at least one of the entity extraction computer and the fuzzy score matching computer hosts an in-memory database including the entity co-occurrence database. The in-memory database includes a plurality of records indexed by structured data, and the structured data is an entity-to-entity Wherein I index, at least one of the indices and entity pairs facts index entity pair Topics,
An ambiguity score matching computer searches the entity co-occurrence database in real time using the selected ambiguity matching algorithm when the search query data is requested by the user computer, and one based on the search Forming one or more suggested search question parameters from the records, wherein the one or more suggested search question parameters include a plurality of suggested search question parameters;
An ambiguous score matching computer presents one or more suggested search query parameters to the user interface; and
The ambiguous score matching computer classifies the plurality of suggested search question parameters in descending order based on accessibility of matches to search question parameters in user input.
A method involving that.

The method of claim 1, further comprising: searching the entity co-occurrence database by the fuzzy score matching computer using the selected fuzzy matching algorithm before user input ends.

The method of claim 1, wherein the one or more records associated with the search query parameter include a conceptual feature.

The method of claim 1, wherein the fuzzy score matching computer presents the classified suggested search query parameters in a drop-down list via a user interface.

The method of claim 1, wherein the entity co-occurrence database is indexed.

Comprising one or more server computers having one or more processors executing computer readable instructions for a plurality of computer modules, comprising:
An entity extraction module configured to receive user input of search query parameters from a user interface, wherein the user interface is presented at a user computer, the entity extraction module further comprising:
Compare search query parameters to an entity co-occurrence database having co-occurrence instances of one or more entities in the electronic data corpus in real time when search query data is requested by the user computer, and in the search query parameters The one or more server computers are further configured to extract one or more entities from a search query parameter by identifying at least one entity type corresponding to the one or more entities, A main memory that hosts an in-memory database including a database, the in-memory database including a plurality of records indexed by structured data, the structured data Index Iti, include at least one of the index of indices and entity pairs facts entity pairs topics, further,
An ambiguity configured to select an ambiguity matching algorithm that searches an entity co-occurrence database to identify one or more records associated with a search query parameter in real time when search query data is requested by a user computer Score matching module,
And the ambiguity matching module corresponds to at least one identified entity type, the ambiguity score matching module further comprising:
When the search query data is requested by the user computer, search the entity co-occurrence database using the selected fuzzy matching algorithm in real time and based on the search, one or more records from one or more records Configured to form suggested search query parameters and present one or more suggested search query parameters to a user interface;
The one or more suggested search question parameters include a plurality of suggested search question parameters, and the fuzzy score matching module matches the plurality of suggested search question parameters to the search question parameters in user input. A system configured to sort in descending order based on accessibility.

The system of claim 6, wherein the fuzzy score matching module is further configured to search an entity co-occurrence database using the selected fuzzy matching algorithm before user input ends.

The system of claim 6, wherein the one or more records associated with the search query parameter include conceptual features.

The system of claim 6, wherein the fuzzy score matching computer is configured to present the classified suggested search query parameters in a drop-down list via a user interface.

The system of claim 6, wherein the entity co-occurrence database is indexed.

A computer receives a search query including one or more data strings from a search engine;
Identifying one or more entities in one or more data strings based on comparing one or more entities against a set of records stored in an entity database and a trend database by a computer;
Identifying one or more features in one or more data strings not identified by the computer as corresponding to at least one entity;
The computer assigns each of the one or more features to at least one of the one or more entities based on a matching algorithm;
The computer specifies an extraction score for each entity based on the score specified for each feature specified for each entity,
A computer receives a first search list from an entity database that includes one or more entities having a score that is within a threshold distance from an extraction score for each entity;
A computer receives a second search list from the trend database that includes one or more entities having a score that is within a threshold distance from the extracted score of each entity;
A computer generates a grand total list including a first search list and a second search list, and the entities of the total list are ranked according to the score of each total list, and are suggested according to the total list by the computer. Give a search,
A computer-implemented method comprising:

The computer-implemented method of claim 11, wherein at least one of the entity database and the trend database is an in-memory database.