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Barter system is an alternative commerce approach where customers meet at a marketplace in order to exchange their goods or services without currency. E-barter systems, also gain attention with the rise of e-commerce. Barterers search databases for goods and services they need. In this paper, the integration of ontology and agent systems is proposed as a solution for searching in diverse barter databases...
The emergence of a new paradigm such as ubiquitous or IoT implies that the members of future software systems can vary dynamically, rather than being predetermined according to the purpose of the system. Unlike in the case of the conventional systems, in order to give adaptability to systems that change dynamically, the system rules should be designed and applied considering the dynamic changes of...
The development and enhancement of the effectiveness of scientific research in the learning process requires the use of new tools for working with knowledge using the methods of knowledge engineering: methods of Data Mining, Text Mining, semantic information processing technologies. The use of sets of video materials on a large scale for automatic annotation is a new task and requires the development...
This article involves the analysis of known ontologies for solving production system management problems. The article considers the tasks solved by the ontological approach. It describes the developed ontology integration at the semantic level of data from databases of different industry information systems to support the management decisions, to use knowledge bases to support the decisions in logistics...
The word ontology refers to the hierarchical structure of entities and their relationships. The entities are nodes and each node is dominated by their parent node in the hierarchical structure. The nodes are related by semantic and lexical relations such as synonymy, homonymy, meronymy, antonymy, etc. Hierarchical structure is created for different types of semantic domains. The top domains are entities,...
This paper addresses the semantic gap between the domain knowledge and software application engineering by proposing a framework for mapping and integrating multiple heterogeneous data sources with application business logic by means of data semantic enrichment, aggregation, filtering and processing. Based on the main drawbacks identified in the current knowledge enhanced software application architectures,...
There are some independent cyber security knowledge bases for different aspect now. In the internet, there is also much cyber security related content which exists in the form of text. Fusion of these cyber security related information can be a meaningful work. In this paper, we propose a framework to integrate existing cyber security knowledge base and extract cyber security related information from...
The goal of the paper is in determining the characteristics of relations between security databases (databases of vulnerabilities, attacks, platforms, weaknesses etc.) to apply the ontological approach for construction of a hybrid security repository. The paper analyzes various security data specifications used in databases and interconnections between different data types. On the basis of the outlined...
Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering… etc.). This paper proposes an efficient approach to be used in reducing the size of the feature vector for web text document classification process. This approach is based on using...
Addresses the needs of forefront of astronomical data management research, this paper proposes a data retrieval method combining ontology and parallel computing technologies, establishes an astronomical ontology database, explores the parallelization of ontology reasoning and retrieval process based on the ontology database, and designs the parallel retrieval system. The experimental results show...
International deep seabed resource surveys have accumulated a large amount of valuable marine geochemical data. These data, however, derive from a number of autonomous heterogeneous information sources that show the characteristics of big data, i.e., multidisciplinary, multidimensional, multisemantic, and with strong correlations. The traditional database federation method is thus not applicable....
At present time there are many enterprises that prefer to integrate out-of-the-box systems (with integration application) instead of developing new enterprise system special for them. Integration applications provide functionality to synchronize data between databases of out-of-the-box systems. However, there are problems during integration and we propose a method for these problems automatically...
The main problem of rule-based information extraction technique is that the extraction rules tend to be specifically designed for specific information or document structure; hence it cannot be directly used in another without some proper modifications. Semi-structured documents like tables present another challenge to information extraction; since there are no standards on how to design it, the structure...
This paper addresses the problem of integrating ontological knowledge bases into complex software applications by proposing a library for exposing ontology access and manipulation as web services. The proposed framework is an extension of our previous work, the M2O framework, and enhances it by integrating reasoning techniques and generating a web services layer for performing basic CRUD operations...
Software architecture patterns present solutions for software architecture problems and help to document architectural design decisions. Complexity and variability of patterns, and the required expertise for selecting an appropriate pattern, would cause some difficulties in utilizing architectural patterns. Using an ontology for registering architectural patterns is an efficient step in solving those...
Medical files and observation papers have always been an important source of knowledge. Unfortunately, most of the times they are still stored as physical documents either printed or handwritten, thus making it difficult to transfer this precious information from one place to another, or centralizing and extracting new knowledge from it. But with nowadays advancements in computer science this problem...
We present an architecture for a Personal Health Recommender System (PHRS) that begins with a person's personal electronic health record (PEHR) and augments it by combining crowdsourced data mined for symptoms, diseases, treatments and best practices, together with authoritative sources and curated domain ontologies. This novel approach is patient-centric in that the PEHR contains the patient's health...
Educational data can help us to personalise university information systems. In this paper, we show how educational data can be used to improve the performance of interaction-based recommender systems. Educational data is transformed to student profiles helping to prevent cold start problems when recommending projects to students with few user interactions. Our results show that our hybrid interaction...
This paper presents a context-aware ontological approach applied to an alarm management system. The goal is to easier the work of the plant's operators using supervisory systems and process control. Being part of a Supervisory Control and Data Acquisition (SCADA), alarm management systems produces and stores a big data set. Using proper analysis techniques in order to produce information and knowledge...
The paper introduce, explains and presents the results obtained with the children prediction tool available through the specialized social network www.emama.mk. The inspiration behind the development of this system is to extend knowledge about the children diseases and their symptoms in a very simple and understandable way. The whole research presents summary of half decade successful work in which...
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