Collaborative, incremental specification of identities

• US 8,224,843 B2
• Filed: 08/11/2009
• Issued: 07/17/2012
• Est. Priority Date: 08/12/2008
• Status: Active Grant

• Current Assignee: Morphism LLC
• Original Assignee: Morphism LLC
• Inventors: Stephens, Jr., James H.
• Primary Examiner(s): Timblin, Robert
• Assistant Examiner(s): BURNS, RANDALL WHITMAN
• Application Number:
  US12/539,509
• Publication Number:
  US 20100040227A1
• Time in Patent Office: 1,071 Days
• Field of Search: 707/736, 707/769, 707/E17.044, 707/E17.005, 707/E17.014, 707/999.101
• US Class Current: 707/769
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Methods and systems for collaborative, incremental specification of identities are provided. Users of an information processing system collaborate to define and refine identities of entities, and users can create references for those identities. Relationships among the identifiers imply related keywords that can be used to improve search, navigation, and integration. Relationship factoring can be used to maintain efficient logical and physical representations.

Claims

1. A computer-implementable method for incremental specification of identities in a computer network, the method comprising:

creating set identifiers;

annotating identifiers using objects, properties, relations, values, and tuples in at least one set of statements;

storing data representing the tuples;

querying the tuples in at least one ephemeral context comprising additional tuples as query assumptions and access control;

applying knowledge rules within the ephemeral context to derive derived tuples, the knowledge rules comprising additional tuples;

applying representation rules within the ephemeral context to derive logical tuples from data in other representations, the representation rules mapping between logical and physical representations;

applying access control rules within the ephemeral context to limit or grant access to certain tuples;

generating a reference for a set identifier;

resolving the reference to determine a corresponding identifier; and

deriving related identifiers for a set identifier based on the tuples.

2. The method of claim 1, wherein the resolving uses a timestamp, a context, and a label relative to the context.

3. The method of claim 2, wherein the reference further comprises a language indicator.

4. The method of claim 1, the method further comprising relating a location for content that uses the reference with the reference.

5. The method of claim 1, the method further comprising relating the author or editor of content that uses the reference with the reference.

6. The method of claim 1, the reference comprising targeted unrefinements having a structure comprising unrefiners.

7. The method of claim 6, wherein the generating comprises encrypting at least one targeted unrefinement having structures comprising unrefiners.

8. The method of claim 7, wherein the encrypting comprises public key encryption.

9. The method of claim 1, wherein the resolving is followed by retrieving annotations that existed for the identifier at the time the reference to the identifier was generated.

10. The method of claim 1, wherein the related identifiers comprise similar identifiers related as peers.

11. The method of claim 1, wherein the related identifiers comprise generalization identifiers not distinguished from other identifiers.

12. The method of claim 1, the method further comprising updating the tuples based on remote data sources and associated representation rules.

13. The method of claim 1, the method further comprising suggesting properties for annotation of the identifiers, wherein the suggesting is based on properties of similar identifiers based on subsets of supersets of the identifiers.

14. The method of claim 1, wherein a tuple comprises a specification for a property that must be approved prior to first use as a property in any other tuples.

15. The method of claim 1, the method further comprising automatically translating textual annotations into at least one other language.

16. The method of claim 1, the method further comprising detecting identifiers referenced by tuples that are pairwise redundant relative to those identifiers.

17. The method of claim 1, the method further comprising factoring tuples, wherein the factoring comprises the introduction of a new identifier, which is related to existing identifiers via multiple subset relationships.

18. A system comprising a processor, a data bus coupled to the processor, and non-transitory computer-usable medium embodying computer program code and coupled to the data bus, the computer program code for:

creating set identifiers;

annotating identifiers using objects, properties, relations, values, and tuples in at least one set of statements;

storing data representing the tuples;

querying the tuples in at least one ephemeral context comprising additional tuples as query assumptions and access control;

applying knowledge rules within the ephemeral context to derive derived tuples, the knowledge rules comprising additional tuples;

applying representation rules within the ephemeral context to derive logical tuples from data in other representations, the representation rules mapping between logical and physical representations;

applying access control rules within the ephemeral context to limit or grant access to certain tuples;

generating a reference for a set identifier;

resolving the reference to determine a corresponding identifier; and

deriving related identifiers for a set identifier based on the tuples.

19. A non-transitory computer-usable medium embodying computer program code, the computer program code comprising:

memory storing computer executable instructions configured for;

creating set identifiers;

annotating identifiers using objects, properties, relations, values, and tuples in at least one set of statements;

storing data representing the tuples;

querying the tuples in at least one ephemeral context comprising additional tuples as query assumptions and access control;

applying knowledge rules within the ephemeral context to derive derived tuples, the knowledge rules comprising additional tuples;

applying representation rules within the ephemeral context to derive logical tuples from data in other representations, the representation rules mapping between logical and physical representations;

applying access control rules within the ephemeral context to limit or grant access to certain tuples;

generating a reference for a set identifier;

resolving the reference to determine a corresponding identifier; and

deriving related identifiers for a set identifier based on the tuples.