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Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specification is supported by a user agent that accesses multiple ontologies using an integrated conceptual model expressed in the Web Ontology(More)
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specifi cation is supported by a user agent that accesses multiple ontologies using an integrated conceptual model. A collection of cooperating agents(More)
HYBRID FILTERING IN SEMANTIC QUERY PROCESSING Hanjo Jeong, Ph.D. George Mason University, 2011 Dissertation Director: Dr. Larry Kerschberg This dissertation presents a hybrid filtering method and a case-based reasoning framework for enhancing the effectiveness of Web search. Web search may not reflect user needs, intent, context, and preferences, because(More)
This paper addresses the role of case-based reasoning in semantic search, and in particular, as it applies to Knowledge Sifter, an agent-based ontology-driven search system based on Web services. The Knowledge Sifter architecture is extended to include a case-based methodology for collaborative semantic search, including case creation, indexing and(More)
This paper presents the requirements for just in time knowledge management (JIT-KM). In order to deliver high-value information to user for decision-making, one must understand the user’s preferences, biases and decision context. A JIT-KM architecture is presented consisting of user, middleware and data services to search for information from heterogeneous(More)
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agents to coordinate the search for knowledge in heterogeneous sources, including the Web, semi-structured data, relational data and the Semantic Web. The goal is to provide(More)
This paper proposes to model and represent an object's digital persona by means of a conceptual model that uses fragments of schemata that are termed data-DNA. The object may be a person, place or thing of interest; it may be either physical or virtual; and it supports interactions between and among objects. The goal is to provide a framework in which to(More)
Korean National Science & Technology Information Service (NTIS) provides a service of evaluating national R&D projects and providing such evaluated national R&D projects along with their participating researcher information. It also provides a service of recommending and selecting evaluation committees for the R&D projects. Transparency is an important(More)
This paper proposes a recommendation system based on big data framework and rule-based system in the era of Internet of Things. With the emergence of the smart devices beginning from smart phones extends to the general electronic devices such as smart tv sets, refrigerators, washing machines, robot vacuums, and so on. Such smart devices make it possible to(More)