METHOD AND SYSTEM FOR GENERATING A KNOWLEDGE REPRESENTATION
The present teaching relates to generating a knowledge representation. In one example, a plurality of entities is obtained from a data source associated with a user. One or more relationships are determined among the plurality of entities. At least one of the one or more relationships is inferred based on personal information of the user. A knowledge representation associated with the user is generated based on the plurality of entities and the one or more relationships among the plurality of entities.
1 . A method implemented on a machine having at least one processor, storage, and a communication platform connected to a network for generating a knowledge representation, the method comprising:
obtaining a plurality of entities from a data source associated with a user;
determining one or more relationships among the plurality of entities, wherein at least one of the one or more relationships is inferred based on personal information of the user; and
generating a knowledge representation associated with the user based on the plurality of entities and the one or more relationships among the plurality of entities.
2 . The method of claim 1 , wherein the data source comprises at least one of the following: the user's emails, contacts, instant messages, browsing history, call records, bookmarks, and a card to be presented to the user.
3 . The method of claim 1 , wherein each of the one or more relationships is associated with one or more attributes characterizing the relationship.
4 . The method of claim 1 , wherein the personal information of the user includes an existing knowledge representation previously generated for the user.
5 . The method of claim 1 , wherein the personal information of the user includes an existing knowledge representation previously generated for another user that is associated with the user.
6 . A system having at least one processor, storage, and a communication platform connected to a network for generating a knowledge representation, the system comprising:
an entity metadata analyzer configured for obtaining a plurality of entities from a data source associated with a user;
a relationship integrator configured for determining one or more relationships among the plurality of entities, wherein at least one of the one or more relationships is inferred based on personal information of the user; and
a person-centric knowledge represent engine configured for generating a knowledge representation associated with the user based on the plurality of entities and the one or more relationships among the plurality of entities.
7 . The system of claim 6 , wherein the data source comprises at least one of the following: the user's emails, contacts, instant messages, browsing history, call records, bookmarks, and a card to be presented to the user.
8 . The system of claim 6 , wherein each of the one or more relationships is associated with one or more attributes characterizing the relationship.
9 . The system of claim 6 , wherein the personal information of the user includes an existing knowledge representation previously generated for the user.
10 . The system of claim 6 , wherein the personal information of the user includes an existing knowledge representation previously generated for another user that is associated with the user.
11 . A machine-readable, non-transitory and tangible medium having information recorded thereon for generating a knowledge representation, the information, when read by the machine, causes the machine to perform the following:
obtaining a plurality of entities from a data source associated with a user;
determining one or more relationships among the plurality of entities, wherein at least one of the one or more relationships is inferred based on personal information of the user; and
generating a knowledge representation associated with the user based on the plurality of entities and the one or more relationships among the plurality of entities.
12 . The medium of claim 11 , wherein the data source comprises at least one of the following: the user's emails, contacts, instant messages, browsing history, call records, bookmarks, and a card to be presented to the user.
13 . The medium of claim 11 , wherein each of the one or more relationships is associated with one or more attributes characterizing the relationship.
14 . The medium of claim 11 , wherein the personal information of the user includes an existing knowledge representation previously generated for the user.
15 . The medium of claim 11 , wherein the personal information of the user includes an existing knowledge representation previously generated for another user that is associated with the user.
16 . The method of claim 1 , further comprising inferring the at least one of the one or more relationships based on information included in a private source of the user or in a semi-private source of the user.
17 . The method of claim 1 , wherein the knowledge representation is a graph representing connections, interests, and events associated with the user.
18 . The system of claim 6 , further comprising an inferred relationship determiner configured for inferring the at least one of the one or more relationships based on information included in a private source of the user or in a semi-private source of the user.
19 . The system of claim 6 , wherein the knowledge representation is a graph representing connections, interests, and events associated with the user.
20 . The medium of claim 11 , wherein the information, when read by the machine, causes the machine to perform the following: inferring the at least one of the one or more relationships based on information included in a private source of the user or in a semi-private source of the user, wherein the knowledge representation is a graph representing connections, interests, and events associated with the user.