System and Method of a Knowledge Management and Networking Environment

• US 20090077124A1
• Filed: 10/18/2007
• Published: 03/19/2009
• Est. Priority Date: 09/16/2007
• Status: Active Grant

• Current Assignee: Fiver LLC
• Original Assignee: EVRI Incorporated
• Inventors: Jones, Chris, White, Scott, Li, Jonathan Qiang, Royal, Peter, Aleksandrovsky, Boris, Tucker, Lew, Wissner, Jim, Spivack, Nova
• Granted Patent: US 8,438,124 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15

Abstract

Systems and methods of a knowledge management networking are disclosed here. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of hosting a web-space having a plurality of objects, the plurality of objects to include one or more of, representations of a set of users, a set of web-items, and a set of nets; wherein a net of the set of nets is a subset of the web-space comprising a sub-plurality of the plurality of objects. One embodiment can include, tracking an explicit relationship between a first set of at least two objects of the set of objects; the explicit relationship to be pre-determined by a user of the set of users, identifying an implicit relationship between a second set of at least two objects of the set of objects; the implicit relationship to be identified based on a semantic relationship between the at least two objects, and determining a default set of privacy rules governing access between the at least two objects based on one or more of the identified explicit relationship and the implicit relationship.

Claims

1. A method of identifying a set of tags in a plurality of objects in a web-space, the method comprising, one or more of:

(a) detecting a parts-of-speech portion of the set of tags that are parts-of-speech via natural language processing and expression analysis, the parts-of-speech to include at least one of a noun, a verb, a noun phrase, and a proper noun;

(b) detecting an entity portion of the set of tags that are entities via one or more entity detection mechanisms, the entities to include at least one of a person, place, organization, product, event;

(c) identifying a metadata portion of the set of tags based on metadata of the plurality of objects; and

(d) identifying a portion of the set of tags via detecting one or more of the portion of the set of tags in a pre-determined knowledge database;

wherein the set of tags are represented as one or more of strings, and semantic objects.

2. The method of claim 1, wherein the method performs (b), and the one or more entity detection mechanisms comprises, linguistic rules, semantic rules, and statistical properties of terms in an object of the content collection.

3. The method of claim 1, wherein the method performs (d), and the pre-determined knowledge database includes one or more of a set of ontologies, a set of taxonomies, a set of folksonomies, a set of known entities, and a set of known topics.

4. The method of claim 1, further comprising, identifying one or more concepts that one or more objects of the plurality of objects encompasses via Bayesian classification.

5. The method of claim 1, further comprising, tracking tags that are edited by users;

wherein the editing of a tag comprises one or more of, adding a tag, editing metadata of a tag, and removing a tag.

6. The method of claim 1, further comprising, converting a given tag of the set of tags into semantic objects.

7. The method of claim 6, further comprising, converting a first tag of the set of tags into a semantic object, in response to one or more of:

receiving an edit request from a user to edit the first tag of the set of tags; and

receiving a comparison request to compare the first tag of the set of tags to a structured knowledge database.

8. The method of claim 7, wherein the structured knowledge database comprises one or more of taxonomy and ontology.

9. The method of claim 6, further comprising, representing a prefix of the first tag as a semantic object, wherein the prefix of the first tag provides an indication of a category of the first tag.

10. A method of identifying subject matter embodied in a piece of intellectual content, the method comprising:

analyzing classified content spreading a plurality of subject matter categories in a knowledge database with a pre-determined structure;

wherein the predetermined structure provides structured information regarding the plurality of subject matter categories and one or more sub-categories of the subject matter categories; and

wherein the knowledge database includes a plurality of intellectual content comprising one or more of articles, documents, and data categorized as at least one of a subject matter category of the plurality of subject matter categories and one subcategory of the one or more sub-categories; and

determining a set of statistical classification rules for identifying intellectual content having an indication of embodying a particular subject matter of the plurality of subject matter categories.

11. The method of claim 10, further comprising, analyzing the piece of intellectual content via a Bayesian classification process and estimating a probability that the piece of intellectual content embodies one or more subject matters of the plurality of subject matter categories.

12. The method of claim 11, further comprising, performing the Bayesian classification process in a hierarchical fashion;

wherein the hierarchical fashion is carried out via determining whether the piece of intellectual content embodies a sub-category of a particular subject matter category of the plurality of subject matter categories, when the piece of intellectual content is determined to embody the particular subject matter.

13. The method of claim 11, further comprising, identifying one or more subject category tags in the piece of intellectual content based on the embodied subject matter.

14. A method of responding to a search query, comprising:

receiving a request to generate a set of search results based on a search query provided by a user;

identifying the set of search results comprising a set of objects, the set of objects to be identified from a least a portion of a plurality of objects in a web-space, a specific object of the set of objects to have at least one semantic relationship with the search query, wherein the specific object of the set of objects to be within a predetermined degree of separation from the user;

determining a degree of separation between the user and one or more objects of the set of objects; and

providing the set of search results comprising the set of objects to the user, the providing of the one or more objects of the set of objects to include an indication of the degree of separation between the user and the one or more objects of the set of objects.

15. The method of claim 14, further comprising ranking one or more of the set of objects based on the degree of separation between the one or more of the set of objects and the user.

16. The method of claim 14, wherein the web-space comprises one or more web-based networking environments and wherein an object is one or more of a given user, a net, and an item in the web-space.

17. The method of claim 16, further comprising tracking relational attributes between objects.

18. The method of claim 17, wherein the net comprises a subset of objects in the web-space, wherein each object of the subset of objects has an explicit relational attribute with at least one other object in the subset of objects.

19. The method of claim 17, wherein the explicit relational attribute comprises one or more of an item added by a specific user, a given user who is a contact of another user, and a specific item that is associated with a specific net.

20. The method of claim 14, further comprising identifying at least a subset of the plurality of search results based on a textual relevance with one or more of the search query.

21. The method of claim 16, further comprising identifying metadata of the plurality of objects;

wherein the metadata of the plurality of objects is identifiable via meta-tags provided by one or more users.

22. The method of claim 21, wherein the metadata of the item comprises information associated with one or more of a type, property, intellectual content, a set of keywords, a set of tags, attributes, timing data, version data, and access rights of the item.

23. The method of claim 21, wherein the metadata of the plurality of objects to provide data associated with multimedia composition of the web content, wherein the multimedia composition comprises one or more of textual, graphics, video, interactive, and animation content.

24. A machine-readable medium having stored thereon a set of instructions which when executed perform a method for identifying subject matter embodied in a piece of intellectual content, the method comprising:

analyzing classified content spreading a plurality of subject matter categories in a knowledge database with a pre-determined structure;

wherein the pre-determined structure provides structured information regarding the plurality of subject matter categories and one or more sub-categories of the subject matter categories; and

wherein the knowledge database includes a plurality of intellectual content comprising one or more of articles, documents, and data categorized as at least one of a subject matter category of the plurality of subject matter categories and one subcategory of the one or more sub-categories; and

determining a set of statistical classification rules for identifying intellectual content having an indication of embodying a particular subject matter of the plurality of subject matter categories.

25. A machine-readable medium having stored thereon a set of instructions which when executed perform a method of responding to a search query, the method comprising:

receiving a request to generate a set of search results based on a search query provided by a user;

identifying the set of search results comprising a set of objects, the set of objects to be identified from a least a portion of a plurality of objects in a web-space, a specific object of the set of objects to have at least one semantic relationship with the search query, wherein the specific object of the set of objects to be within a predetermined degree of separation from the user;

determining a degree of separation between the user and one or more objects of the set of objects; and

providing the set of search results comprising the set of objects to the user, the providing of the one or more objects of the set of objects to include an indication of the degree of separation between the user and the one or more objects of the set of objects.