In Fall 2016, I will be teaching:
INFS 612 - Principles and Practices of Conputer Networks
INFS 797 – Social Networks
In Spring 2016, I taught:
INFS 622 – Information Systems Analysis and Design
INFS 770 – Knowledge Management for e-Business
In Fall 2015, I taught:
INFS 622 – Information Systems Analysis and Design
INFS 772 – Intelligent Agents and the Semantic Web
In Spring 2015 I taught:
CS 450 - Database Concepts
February 26, 2013
Drs. Kerschberg, Kim, Jeong, and Song were awarded Patent Number US8386485 B2, "Case-based framework for collaborative semantic search.”
The abstract of the patent is as follows:
A service-oriented system architecture includes a computer-implemented search method and computer-implemented agent system for enabling efficient information searches on, for example, on XML databases, relational databases, and files located on intranets, the Internet, or other computer network systems. Referred to as the Knowledge Sifter architecture, the architecture may comprise, in one embodiment, a community of cooperating agents. The system architecture may be employed using a variety of methodologies, such as a case-based framework, collaborative filtering, or hybrid filtering. The case-based framework may be configured to recommend query specifications and refinements based on previously-stored user-query cases. Collaborative filtering involves the architecture recommending a set of unseen items that are preferred by other users to the active user. Hybrid filtering combines collaborative filtering and content-based filtering.
The link to Google Patents page is: https://www.google.com/patents/US8386485
October 3, 2006:
Drs. Kerschberg, Kim and Scime were awarded Patent Number 7,117,207, "Personalized Semantic Taxonomy-Based Search Agent."
The abstract of the patent is as follows:
Disclosed is a search mechanism comprising: accepting search intent information from a user having a search intent; creating a semantic taxonomy tree having term(s) representative of the search intent information; augmenting the term(s) with associated concepts derived from the term(s) using existing terminological data; associating a weight with at least one of the term(s); obtaining user preference intent; determining root term(s); transforming the semantic taxonomy tree to a Boolean search query; submitting the Boolean search query to searcher(s); receiving at least one search result(s); interpreting the search result(s); requesting page(s) specified the search result(s); receiving the page(s); generating ranked results; presenting the ranked results to the user; presenting the semantic taxonomy tree to the user; accepting user feedback from the user; and using the user feedback to update the user preference intent.
The link to Google Patents page is: https://www.google.com/patents/US7117207