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Simultaneous Expert, Project, and Document Search using Knowledge Graph

IP.com Disclosure Number: IPCOM000242152D
Publication Date: 2015-Jun-19
Document File: 6 page(s) / 152K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a system and a method to support efficient simultaneous expert, project, and document searching using a knowledge graph that is constructed from both structured and unstructured data.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 27% of the total text.

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Simultaneous Expert, Project, and Document Search using Knowledge Graph

In information technology (IT) strategic outsourcing, business consulting, and legal services, it is important to quickly find experts with the right knowledge and skills as well as the most relevant historical projects. The tasks of searching for top related experts, projects, as well as documents are usually performed separately. A system is needed that supports

simultaneous searches for all these types of information.

Enterprise expert search is a well-studied research topic, with numerous expert search models and systems proposed. Most of models and systems fall into two categories: query-dependent and query-independent. A query-independent method [2, 3, 5] models the profile of a candidate using all the associated documents and computes a relevance score between the profile and a user query. A query-dependent method [4, 5] first ranks all the documents in the corpus for a given query and then finds the experts who are associated with a subset of top ranked documents. Some organizations also have many expert finding or locating tools. However, these systems only focus on expert search.

The goal of project or case searching is to find the most relevant projects or cases for a given search keyword. In IT service strategic outsourcing, a project is the task of designing a technical service solution to respond to a client's request for proposal. Similarly, in business consulting and legal services, a project or a case might be the task of providing strategic advice or legal services to assist in the running of a client's business.

This disclosure interchangeably employs the terms, project and case . Large projects in these domains can be very complex. In IT service strategic outsourcing, a project usually goes through multiple phases and contains many different components (e.g., due diligence, client communications, technical solutions, win strategies, lessons learned, competitiveness analysis, and review and approvals). A single project can have many kinds of documents associated with it. The goal of a project search is to find a set of the most relevant projects, rather than find a set of most relevant documents. Currently, there is no related work in this space.

Graphing is a very popular structure for organizing information and representing knowledge. Graph-based products are prevalent in the web-based market. Great potential exists for graph-based applications in enterprise settings, in which a huge amount of complex and connected data are generated in daily practice.

The novel contribution is a system and a method to support efficient simultaneous expert, project, and document searching using a knowledge graph that is constructed from both structured and unstructured data. In contrast to existing approaches to separately conducting these tasks, the solution is an efficient method for simultaneously retrieving all the

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top related experts,...