15 research outputs found
Ontology Learning Using Formal Concept Analysis and WordNet
Manual ontology construction takes time, resources, and domain specialists.
Supporting a component of this process for automation or semi-automation would
be good. This project and dissertation provide a Formal Concept Analysis and
WordNet framework for learning concept hierarchies from free texts. The process
has steps. First, the document is Part-Of-Speech labeled, then parsed to
produce sentence parse trees. Verb/noun dependencies are derived from parse
trees next. After lemmatizing, pruning, and filtering the word pairings, the
formal context is created. The formal context may contain some erroneous and
uninteresting pairs because the parser output may be erroneous, not all derived
pairs are interesting, and it may be large due to constructing it from a large
free text corpus. Deriving lattice from the formal context may take longer,
depending on the size and complexity of the data. Thus, decreasing formal
context may eliminate erroneous and uninteresting pairs and speed up idea
lattice derivation. WordNet-based and Frequency-based approaches are tested.
Finally, we compute formal idea lattice and create a classical concept
hierarchy. The reduced concept lattice is compared to the original to evaluate
the outcomes. Despite several system constraints and component discrepancies
that may prevent logical conclusion, the following data imply idea hierarchies
in this project and dissertation are promising. First, the reduced idea lattice
and original concept have commonalities. Second, alternative language or
statistical methods can reduce formal context size. Finally, WordNet-based and
Frequency-based approaches reduce formal context differently, and the order of
applying them is examined to reduce context efficiently
An Optimized Framework to Adopt Computer Laboratory Administrations for Operating System and Application Installations
Nowadays, in most of the fields, task automation is area of interest and research due to that manual execution of a task is error prone, time consuming, involving more human resources and focus concerning. In the area of Computer laboratory administration, the old fashioned administration cannot run with today’s growth, where the Operating System (OS) and required applications are installed on all the machines one by one. Therefore, a framework for automating Lab administration in regards of Operating Systems and Application installations will be proposed in this research. Affordability, simplicity, usability are taken into major consideration. All the parts of the framework are implemented and illustrated in detail which promotes a great enhancement in the area of Computer Lab Administration
Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model
Office automation is an initiative used to digitally deliver services to citizens, private and public sectors. It is used to digitally collect, store, create, and manipulate office information as a need of accomplishing basic tasks. Azya Office Automation has been implemented as a pilot project in Kurdistan Institution for Strategic Studies and Scientific Research (KISSR) since 2013. The efficiency of governance in Kurdistan Institution for Strategic Studies and Scientific Research has been improved, thanks to its implementation. The aims of this research paper is to evaluate user satisfaction of this software and identify its significant predictors using EGOVSAT Model. The user satisfaction of this model encompasses five main parts, which are utility, reliability, efficiency, customization, and flexibility. For that purpose, a detailed survey is conducted to measure the level of user satisfaction. A total of sixteen questions have distributed among forty one users of the software in KISSR. In order to evaluate the software, three measurement have been used which are reliability test, regression analysis and correlation analysis. The results indicate that the software is successful to a decent extent based on user satisfaction feedbacks obtained by using EGOVSAT Model
Balancing exploration and exploitation phases in whale optimization algorithm: an insightful and empirical analysis
Agents of any metaheuristic algorithms are moving in two modes, namely
exploration and exploitation. Obtaining robust results in any algorithm is
strongly dependent on how to balance between these two modes. Whale
optimization algorithm as a robust and well recognized metaheuristic algorithm
in the literature, has proposed a novel scheme to achieve this balance. It has
also shown superior results on a wide range of applications. Moreover, in the
previous chapter, an equitable and fair performance evaluation of the algorithm
was provided. However, to this point, only comparison of the final results is
considered, which does not explain how these results are obtained. Therefore,
this chapter attempts to empirically analyze the WOA algorithm in terms of the
local and global search capabilities i.e. the ratio of exploration and
exploitation phases. To achieve this objective, the dimension-wise diversity
measurement is employed, which, at various stages of the optimization process,
statistically evaluates the population's convergence and diversity.Comment: 11 page
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms. Two experimental methods are employed to examine the performance of ECA* against genetic algorithm for clustering++ (GENCLUST++), learning vector quantisation (LVQ), expectation maximisation (EM), K-means++ (KM++) and K-means (KM). These algorithms are applied to 32 heterogenous and multi-featured datasets to determine which one performs well on the three tests. For one, ther paper examines the efficiency of ECA* in contradiction of its corresponding algorithms using clustering evaluation measures. These validation criteria are objective function and cluster quality measures. For another, it suggests a performance rating framework to measurethe the performance sensitivity of these algorithms on varos dataset features (cluster dimensionality, number of clusters, cluster overlap, cluster shape and cluster structure). The contributions of these experiments are two-folds: (i) ECA* exceeds its counterpart aloriths in ability to find out the right cluster number; (ii) ECA* is less sensitive towards dataset features compared to its competitive techniques. Nonetheless, the results of the experiments performed demonstrate some limitations in the ECA*: (i) ECA* is not fully applied based on the premise that no prior knowledge exists; (ii) Adapting and utilising ECA* on several real applications has not been achieved yet
A New ICT Framework to Adopt ICT Projects: KRG Organisations as Case Study
In a world dominated by technology people expect fast swift and efficient services, and for governments this means that citizens and companies expect public services to keep pace with this development and be fast and free of routines. Therefore, most of the developed countries became to adopt the e-Government concept where it enables this improvement and utilize information and communication technology (ICT) to serve the citizens. Basically, the purpose of this research is to provide Kurdistan Regional Government (KRG) organisations and the public sector with a means to comprehend what is essential from a digital communication framework perspective to support delivery of an online public service and identify the components required to achieve this goal along with a high level definition of these components. This paper outcomes the establishment of a high-tech government communication infrastructure and applications via investigating the current and future ICT demands for KRG government organisations, conducting two surveys, and interviewing the stakeholders and clients. It also produces a set of recommendation and suggestions and approaches for designing an efficient framework that mediates information securely among KRG organisations and facilitate collaboration and integration among them