Knowledge and Information Systems
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Composite kernels for semi-supervised clustering
Knowledge and Information Systems - Tập 28 - Trang 99-116 - 2010
A critical problem related to kernel-based methods is how to select optimal
kernels. A kernel function must conform to the learning target in order to
obtain meaningful results. While solutions to the problem of estimating optimal
kernel functions and corresponding parameters have been proposed in a supervised
setting, it remains a challenge when no labeled data are available, and all we
have is a...
An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes
Knowledge and Information Systems - Tập 28 - Trang 449-472 - 2010
Enterprise Architecture (EA) as a discipline that manages large amount of models
and information about different aspects of the enterprise, can support decision
making on enterprise-wide issues. In order to provide such support, EA
information should be amenable to analysis of various utilities and quality
attributes. In this regard, we have proposed the idea of characterizing and
using enterprise...
A comprehensive analysis of the diverse aspects inherent to image data stream classification
Knowledge and Information Systems - Tập 64 - Trang 2215-2238 - 2022
Image data stream classification presents several challenges, for example, the
evolution of concepts of known classes (concept drift) and the emergence of new
classes (open set). Many studies conducted on image data stream classification
investigate the classifier, but do not explore other important issues, such as
specific evaluation methods for data stream scenarios, evolution of the image
featu...
Dual modularity optimization for detecting overlapping communities in bipartite networks
Knowledge and Information Systems - Tập 40 - Trang 455-488 - 2013
Many algorithms have been designed to discover community structure in networks.
These algorithms are mostly dedicated to detecting disjoint communities. Very
few of them are intended to discover overlapping communities, particularly the
bipartite networks have hardly been explored for the detection of such
communities. In this paper, we describe a new approach which consists in forming
overlapping...
Exploiting block co-occurrence to control block sizes for entity resolution
Knowledge and Information Systems - Tập 62 - Trang 359-400 - 2019
The problem of identifying duplicated entities in a dataset has gained
increasing importance during the last decades. Due to the large size of the
datasets, this problem can be very costly to be solved due to its intrinsic
quadratic complexity. Both researchers and practitioners have developed a
variety of techniques aiming to speed up a solution to this problem. One of
these techniques is called ...
Elastic similarity and distance measures for multivariate time series
Knowledge and Information Systems - Tập 65 - Trang 2665-2698 - 2023
This paper contributes multivariate versions of seven commonly used elastic
similarity and distance measures for time series data analytics. Elastic
similarity and distance measures can compensate for misalignments in the time
axis of time series data. We adapt two existing strategies used in a
multivariate version of the well-known Dynamic Time Warping (DTW), namely,
Independent and Dependent DTW...
Consensus-based evaluation framework for distributed information retrieval systems
Knowledge and Information Systems - Tập 18 - Trang 199-211 - 2008
Multi-agent systems have been attacking the challenges of information retrieval
tasks on distributed environment. In this paper, we propose a consensus choice
selection method based framework to evaluate the performance of cooperative
information retrieval tasks of the multiple agents. Thereby, two well-known
measurements, precision and recall, are extended to handle consensual closeness
(i.e., lo...
IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones
Knowledge and Information Systems - Tập 32 - Trang 667-695 - 2011
Fuzzy Ontologies comprise a relatively new knowledge representation paradigm
that is being increasingly applied in application scenarios in which the
treatment and utilization of vague or imprecise knowledge are important.
However, the majority of research in the area has mostly focused on the
development of conceptual formalisms for representing (and reasoning with) fuzzy
ontologies, while the me...
A multi-phase correlation search framework for mining non-taxonomic relations from unstructured text
Knowledge and Information Systems - Tập 38 - Trang 641-667 - 2012
Over the last decade, ontology engineering has been pursued by “learning” the
ontology from domain-specific electronic documents. Most of the research works
are focused on extraction of concepts and taxonomic relations. The extraction of
non-taxonomic relations is often neglected and not well researched. In this
paper, we present a multi-phase correlation search framework to extract
non-taxonomic ...
Relationships between knowledge bases and related results
Knowledge and Information Systems - Tập 49 - Trang 171-195 - 2015
Relationships between information systems are very important topics in the field
of artificial intelligence. The concept of homomorphisms is an effective
mathematical tool to study relationships between information systems. A
knowledge base is a special relation information system. This paper investigates
invariant characteristics of knowledge bases under the homomorphism. The fact
that knowledge ...
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