Automatic expert identification, ranking and literature search based on authorship in large document collections

• US 8,280,882 B2
• Filed: 04/20/2006
• Issued: 10/02/2012
• Est. Priority Date: 04/21/2005
• Status: Active Grant

• Current Assignee: Case Western Reserve University
• Original Assignee: Case Western Reserve University
• Inventors: Mehregany, Mehran, Troy, Adam D., Zhang, Guo-Qiang
• Primary Examiner(s): SYED, FARHAN M
• Application Number:
  US11/379,470
• Publication Number:
  US 20060248076A1
• Time in Patent Office: 2,357 Days
• Field of Search: None
• US Class Current: 707/735
• CPC Class Codes: G06F 16/3347 using vector based model
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Disclosed is an author-centric search that facilitates identifying a source commonly associated with a topic by, for example, providing a ranked listing of experts in a field of knowledge related to a search phrase. The search phrase can be captured and parsed into the individual words (e.g., substrings) of the search phrase. Based on occurrences of the words in one or more documented communications, statistics can be generated to determine the relevancy of each documented communication in relation to the search phrase. Further, additional statistics can be generated describing the occurrence of multiple words in a documented communication and/or a distance of words between the search phrase words in a documented communication. The statistics can be utilized to generate expert scores. The expert scores can be sorted for and/or displayed to the user.

Claims

1. A computer-implemented method for an author-centric search, comprising:

initializing a first data structure and a second data structure for each of a plurality of documented communications wherein each of the plurality of documented communications has at least one author to which the respective documented communication is attributed;

utilizing the first data structure and the second data structure to compute a relevancy score for each of the plurality of documented communications;

determining a score for an author of at least one of the plurality of documented communications based in part on the relevancy score for each of the plurality of documented communications authored by the author;

prompting a user to enter a search string;

parsing the search string into one or more words;

populating at least one memory space of the first data structure for each documented communication with data based on the occurrence of the one or more words in the documented communication;

populating at least one memory space of the second data structure for each documented communication with a weighted value for an author of a given documented communication that signifies a statistical preference for the data in the corresponding memory space of the first data structure;

executing a mathematical function based on an aggregate of the data and the weighted value of the first and second data structures for each documented communication in order to compute the relevancy score for the documented communication; and

displaying search results based at least in part upon a ranked listing of one or more author scores, wherein the weighted value for the author comprises a predefined value utilized to create the statistical preference for data in the corresponding memory space of the first data structure, the weighted value for the author being determined based on at least two of;

a time of publication for the documented communication, a number of documented communications having the author, a prestige of the documented communication, and a number of authors for the documented communication.

2. The method of claim 1, the data further comprising combination data, the combination data based in part on a minimum count of information between words for each possible combination of the one or more words of the search string.

3. The method of claim 1, determining the score comprises calculating an aggregate of relevancy scores for each of the plurality of documented communications associated with the author.

4. The method of claim 1, determining the score further comprises establishing a communications weight to signify a statistical preference for one or more aspects of the plurality of documented communications.

5. The method of claim 4, the one or more aspects of the plurality of documented communications comprise at least one of a date of publication, a venue, a type, and a number of authors.

6. The method of claim 1, determining the score further comprises executing a mathematical function that utilizes the aggregate for each author and the communications weight to arrive at the score.

7. The method of claim 1, the displaying further comprising presenting the name of each author related to each listed author score and a hyperlink to each documented communication associated with the each author.

14. The method of claim 1, wherein the one or more authors scores comprises a plurality of author scores each associated with a different author, the displaying further comprising presenting an ordered list of the different authors ranked by the associated author score.

8. A system for an author-centric search, the system including a processor and memory, the system comprising:

means for initializing a first data structure and a second data structure for each of a plurality of documented communications wherein each of the plurality documented communications has at least one author to which the respective documented communication is attributed;

means for utilizing the first data structure and the second data structure to compute a relevancy score for each of the plurality of documented communications;

means for determining a score for each author of at least one of the plurality of documented communications based in part on the relevancy score for each of the plurality of documented communications authored by each respective author;

means for prompting a user to enter a search string;

means for parsing the search string into one or more words;

means for filling at least one memory space of the first data structure for each documented communication with data based on the occurrence of the one or more words in the documented communication;

means for filling at least one memory space of the second data structure for each documented communication with a weighted value for an author of a given documented communication that signifies a statistical preference for the data in the corresponding memory space of the first data structure; and

means for executing a mathematical function based on an aggregate of the data and the weighted value of the first and second data structures for each documented communication in order to compute the relevancy score for the documented communication; and

means for displaying search results based at least in part upon a ranked listing of the score determined for each of the authors, wherein the weighted value for an author comprises a predefined value utilized to create the statistical preference for data in the corresponding memory space of the first data structure, the weighted value for the author being determined based on at least two of;

a time of publication for the documented communication, a number of documented communications having the given author, a prestige of the documented communications, and a number of authors for the documented communication.

9. The system of claim 8, wherein the search result display component displays the search results as an ordered list of authors ranked based on the author score generated for each of the authors.

10. The system of claim 8, wherein the expert weight value and the relevancy score are independent values.

11. The system of claim 8, wherein author score further comprises a weighted sum of the relevancy scores for each of the documented communications to which the author contributed.

12. The system of claim 8, wherein the means for displaying further displays the name of at least one author of a given documented communication.

13. The system of claim 8, wherein the means for displaying further displays:

a ordered list of a plurality of individuals that are ranked according to an author score generated for each of the plurality of individuals; and

an ordered list of a plurality of institutions that are ranked according to an author score generated each of the plurality of institutions.

15. The system of claim 8, wherein the means for displaying further comprising means for presenting an ordered list of the each of the authors ranked by the score associated with each of the authors.