Graph Structures for Knowledge Representation and Reasoning Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers Editors: Madalina Croitoru, Sebastian Rudolph, Stefan Woltran, Christophe Gonzales. Springer International Publishing. 2014.
Graph Structures for Knowledge Representation and Reasoning 2014. Workshop on IJCAI-2014.
We develop a graph representation and learning technique for parse structures for paragraphs of text. We introduce Parse Thicket (PT) as a set of syntactic parse trees augmented by a number of arcs for inter-sentence word-word relations such as co-reference and taxonomic relations. These arcs are also derived from other sources, including Speech Act and Rhetoric Structure theories. We provide a detailed illustration of how PTs are built from parse trees and generalized as phrases by computing maximal common subgraphs. The proposed approach is subject to evaluation in the product search and recommendation domain, where search queries include multiple sentences. We draw the comparison for search relevance improvement by pair-wise sentence generalization, phrase-level generalization, and generalizations of PTs as graphs.
The graph of internal states of Sponge construction and the relationship between internal states and elements of the output sequence are investigated. The methods of constructing collisions which use features of the cyclic structure of Sponge construction’s substitution are proposed. The general form of the corresponding collisions is described.
This paper describes our approach to document search based on the ontological resources and graph models. The approach is applicable in local networks and local computers. It can be useful for ontology engineering specialists or search specialists.
The article describes the original software tools for an experimental estimation of computational complexity of software solutions for problems on graph models of systems. The classes of the solved problems and the tools for analysis of results are listed. The method based on selection of graph models by their structural complexity is introduced.
The probabilistic characteristics of the graph of degrees of equiprobable random mappings. In particular the exact expression of the probability of collision for two random vertices in the graph of degree of random mapping is obtained.
The book contains the necessary information from the algorithm theory, graph theory, combinatorics. It is considered partially recursive functions, Turing machines, some versions of the algorithms (associative calculus, the system of substitutions, grammars, Post's productions, Marcov's normal algorithms, operator algorithms). The main types of graphs are described (multigraphs, pseudographs, Eulerian graphs, Hamiltonian graphs, trees, bipartite graphs, matchings, Petri nets, planar graphs, transport nets). Some algorithms often used in practice on graphs are given. It is considered classical combinatorial configurations and their generating functions, recurrent sequences. It is put in a basis of the book long-term experience of teaching by authors the discipline «Discrete mathematics» at the business informatics faculty, at the computer science faculty of National Research University Higher School of Economics, and at the automatics and computer technique faculty of National research university Moscow power engineering institute. The book is intended for the students of a bachelor degree, trained at the computer science faculties in the directions 09.03.01 Informatics and computational technique, 09.03.02 Informational systems and technologies, 09.03.03 Applied informatics, 09.03.04 Software Engineering, and also for IT experts and developers of software products.
In this paper we present some preliminary results for text corpus visualization by means of so-called reference graphs. The nodes of this graph stand for key words or phrases extracted from the texts and the edges represent the reference relation. The node A refers to the node B if the corresponding key word / phrase B is more likely to co-occur with key word / phrase A than to occur on its own. Since reference graphs are directed graphs, we are able to use graphtheoretic algorithms for further analysis of the text corpus. The visualization technique is tested on our own Web-based corpus of Russian-language newspapers.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.