A Dataflow Graphical Language for Database Applications

In this paper we discuss a graphical language for information retrieval and processing. A lot of recent activity has occurred in the area of improving access to database systems. However, current results are restricted to simple interfacing of database systems. We propose a graphical language for specifying complex applications

PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-Security Concepts

Public disclosure of important security information, such as knowledge of vulnerabilities or exploits, often occurs in blogs, tweets, mailing lists, and other online sources months before proper classification into structured databases. In order to facilitate timely discovery of such knowledge, we propose a novel semi-supervised learning algorithm, PACE, for identifying and classifying relevant entities in text sources. The main contribution of this paper is an enhancement of the traditional bootstrapping method for entity extraction by employing a time-memory trade-off that simultaneously circumvents a costly corpus search while strengthening pattern nomination, which should increase accuracy. An implementation in the cyber-security domain is discussed as well as challenges to Natural Language Processing imposed by the security domain.Comment: 6 pages, 3 figures, ieeeTran conference. International Conference on Machine Learning and Applications 201

The Impact of UML Class Diagrams on Knowledge Modeling, Discovery and Presentations

Typically, the Unified Modeling Language (UML) is used for visualizing, specifying, constructing, and documenting the artifacts of software-intensive systems. However, there have been some projects showing the usefulness of UML modeling of systems in other areas. In this paper we discuss how to model knowledge from an example subject area and how to convert this model into a well-structured UML graph. UML models can be built to gain a deeper understanding of a subject area, to guide knowledge discovery, to prepare better presentations about the subject (including Web presentations), or to support the learning process. We concentrate our discussion on the impact of UML diagrams on improving learning and, specifically, on new generation Computer Assisted Instruction (CAI) tools that are based on UML diagrams. Keywords: Unified Modeling Language, Computer Assisted Instruction, Learning