DOCUMENT SEARCHING USING CONTEXTUAL INFORMATION LEVERAGE AND INSIGHTS

• US 20090112841A1
• Filed: 10/29/2007
• Published: 04/30/2009
• Est. Priority Date: 10/29/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Rajamani, Nithya, Zadrozny, Wlodek W., Devarakonda, Murthy V., Vogl, Norbert G., Rubas, James
• Application Number:
  US11/926,698
• Publication Number:
  US 20090112841A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri

Abstract

A method and system are disclosed that enable a user to search a large collection of structured and unstructured documents using semantic concepts that the system provides to them, to search the most relevant business activity first, and then using one of the business activities as the additional context to search for specific document or documents that are most relevant. One aspect of the invention provides a methodology to perform concept-based structured search over document collections to obtain search results as business activities and associated relevant documents using the business activity context. The document collections are obtained by aggregating documents corresponding to a business activity. The instances are extracted from the document collections together with any concept-relationship specific heuristics in that domain. Another aspect of the invention enables the enterprise user to enter concepts and instances that define the search parameters using a structured user interface.

Claims

1. A method of searching documents for a user and using contextual information leverage and insights, the method comprising the steps of:

searching through a collection of documents using semantic concepts to identify a group of business activities; and

using one of said business activities as an additional context to identify one or more of the documents as relevant to the user.

2. A method according to claim 1, wherein the step of using one of said business activities further includes the steps of:

constructing a search query based on said one of the business activities; and

using said search query to identify said one or more documents.

3. A method according to claim 1, wherein the user has a defined role in a given enterprise, and wherein the step of constructing a search query includes the step of tailoring the search query to said defined role of the user in said enterprise.

4. A method according to claim 1, wherein the user has defined access privileges to the collection of documents, and wherein the step of using one of said business activities includes the steps of:

identifying a first set of documents using said search query;

restricting said set of documents based on the defined access privileges of the user to form a restricted set of documents; and

providing the user with said restricted set of documents.

5. A method according to claim 1, further comprising the steps of:

obtaining said collection of documents; and

tagging said collection of documents with semantics and annotations; and

wherein;

the step of searching through the collection of documents includes the step of searching said semantics and annotations to identify relevant documents.

6. A method according to claim 5, wherein the step of searching through the collection of documents further includes the step of using said identified relevant documents to identify said group of business activities;

and

the step of selecting one of the business activities includes the step of said user selecting one of said business activities.

7. A method according to claim 1, wherein the searching step includes the step of identifying a business activity concept.

8. A method according to claim 7, wherein the searching step further includes the step of extracting one or more instances of said concept from the collection of documents;

and

the step of using one of said business activities includes the step of using said business activity concept and said extracted one or more instances to identify said one or more documents.

9. A method according to claim 1, wherein the document collection is obtained by aggregating documents relating to said group of business activities, and comprising the further step of displaying to the user all instances associated with the business activity relevant to the original concept in the user'"'"'s role.

10. A method according to claim 1, wherein the using step includes the step of automatically issuing semantic search queries to get the most relevant documents results from the document collection associated with the business activity, and comprising the further step of displaying the search results in terms of entities and associated concept and instance pairs, and in terms of relationships between concepts and contextually relevant documents.

11. A system for searching documents for a user and using contextual information leverage and insights, the system comprising a processing unit including:

first computer readable program code for searching through a collection of documents using semantic concepts to identify a group of business activities; and

second computer readable program code for using one of said business activities as an additional context to identify one or more of the documents as relevant to the user.

12. A system according to claim 11, wherein the second computer readable code includes computer readable code for constructing a search query based on said one of the business activities, and using said search query to identify said one or more documents.

13. A system according to claim 11, wherein the user has a defined role in a given enterprise, and wherein the second computer readable code includes computer readable code for tailoring the search query to said defined role of the user in said enterprise.

14. A system according to claim 11, wherein the user has defined access privileges to the collection of documents, and wherein the second computer readable code includes computer readable code for identifying a first set of documents using said search query, restricting said set of documents based on the defined access privileges of the user to form a restricted set of documents, and providing the user with said restricted set of documents.

15. An article of manufacture comprising:

at least one computer usable medium having computer readable program code logic to search documents for a user and using contextual information leverage and insights, the computer readable program code logic comprising;

first searching logic for searching through a collection of documents using semantic concepts to identify a group of business activities; and

second searching logic for using one of said business activities as an additional context to identify one or more of the documents as relevant to the user.

16. An article of manufacture according to claim 15, wherein the second searching logic further includes logic for constructing a search query based on said one of the business activities, and for using said search query to identify said one or more documents.

17. An article of manufacture according to claim 15, wherein the user has a defined role in a given enterprise, and wherein the second searching logic includes logic for tailoring the search query to said defined role of the user in said enterprise.

18. A method of deploying a computer program product for searching documents for a user and using contextual information leverage and insights, wherein when executed, the computer program performs the steps of:

searching through a collection of documents using semantic concepts to identify a group of business activities; and

using one of said business activities as an additional context to identify one or more of the documents as relevant to the user.

19. A method of deploying a computer program product according to claim 18, wherein the step of using one of said business activities further includes the steps of:

constructing a search query based on said one of the business activities; and

using said search query to identify said one or more documents.

20. A method of deploying a computer program product according to claim 18, wherein the user has a defined role in a given enterprise, and wherein the step of constructing a search query includes the step of tailoring the search query to said defined role of the user in said enterprise.

21. A method of deploying a computer program product according to claim 18, wherein the user has defined access privileges to the collection of documents, and wherein the step of using one of said business activities includes the steps of:

identifying a first set of documents using said search query;

restricting said set of documents based on the defined access privileges of the user to form a restricted set of documents; and

providing the user with said restricted set of documents.

22. A method of searching documents for a user and using contextual information leverage and insights, the method comprising the steps of:

searching through a collection of documents using semantic concepts to identify a group of business activities;

selecting one of the business activities;

constructing a search query including said one of the business activities; and

using said search query to identify one or more documents as relevant to the user.

23. A method according to claim 22, wherein the document collection is obtained by aggregating documents relating to said group of business activities.

24. A method according to claim 22, comprising the further step of displaying to the user all instances associated with the business activity relevant to the original concept in the user'"'"'s role.

25. A method according to claim 22, wherein the using step includes the step of automatically issuing semantic search queries to get the most relevant documents results from the document collection associated with the business activity, and comprising the further step of displaying the search results in terms of entities and associated concept and instance pairs, and in terms of relationships between concepts and contextually relevant documents.