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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 increasing complexity of IT environments dictates the usage of intelligent automation driven by cognitive technologies, aiming at providing higher quality and more complex services. Inspired by cognitive computing, an integrated framework is proposed for a problem resolution. In order to improve the efficiency of the problem resolution process, it is crucial to formalize problem records and discover...
With the fast growth of World Wide Web 2.0, a great number of opinions about a variety of products have been published in blogs, forums, and social networks. Opinion mining tools are needed to enable users to efficiently process a large number of reviews found online, in order to determine the underlying opinions. This paper presents a new methodology for semantic modelling of the domain knowledge...
It has become an era where everything is on the web with ever more chances of data utilization on the web. Still, there are obstacles to make the use of the web efficiently. With too much information, Internet users have often come across information that are not relevant for their use. On top of that, until recently, most of web content have not contained semantic information, posing difficulties...
The paper provides an introduction into the area of inductive formation of knowledge bases. It presents traditional definitions of main problems in this area and highlights the current topical questions including the interpretability of the results. For solving of current problems in defined area the method of inductive formation of easily interpretable medical diagnostic knowledge bases is suggested...
Huge amount of entities and theirs relationships are posted on the Web. Those entities and theirs relationship networks help many activities. In this paper, we focus on the task of extracting academic entity network from homepages. Homepages usually contain many entities, such as persons, conference/journal and organization and theirs relationship. However, homepages don't follow a unified layout...
In order to construct the knowledge base in the field of journalism, this paper improved the knowledge representation framework of Freebase to make it more suitable for the knowledge in journalism domain. On the basis, we chose to extract entities, entity attributes and relationships between entities from Baidu Encyclopedia websites in order to analyze its structure. According to the infobox, the...
Information security contains many concepts and knowledge entities. As the development of information technology, the complexity of increasing information security knowledge need an overview representation and organization for security analysis and risk evaluation. Ontology as a formal and shareable semantic model, which is often used to define domain knowledge schema, can also be applied for information...
The current state of affairs regarding the way events are logged by IT systems is the source of many problems for the developers of Intrusion Detection Systems (IDS) and Security Information and Event Management (SIEM) systems. These problems stand in the way of the development of more accurate security solutions that draw their results from the data included within the logs they process. This is...
Indentifying potential pollution sources from the monitoring water quality data is desirable for water quality management. A simple expert system module was developed in this paper to infer the latent pollution sources and explain variation in water quality parameters. It contains three parts. The first part is water quality mining and analyzing component implemented by multivariate statistical techniques...
Web content extraction is actually the process of transforming web unstructured information into structured information. Knowledge base has the advantages of ordering information and knowledge, also be used conveniently. So it's convenient to retrieve information and knowledge, and it makes base for effective use. Knowledge base will speed up the knowledge and the flow of information and make for...
On the basis of comprehensive analysis of existing buy site, it proposes a knowledge library structure of group buying websites, which profit model is based on membership, members' behavior. And providing support to the group buying site decision-making by using data mining technology to analyze the conduct of its members and to predicting further member's behavior. This study is not only extremely...
Since the first attempts of Structural Health Monitoring the Vienna Consulting Engineers (VCE) have been involved to advance the BRIMOS technology which offers a wide range of services to engineers and operators of infrastructure networks. Over the last decade the dynamic behavior of hundreds of structures has been measured and evaluated. However, the current practice in Structural Health Monitoring...
In this paper, with using knowledge base, we will present work flows of distributed integrated systems by the Proposed WKMSD algorithm with data mining mechanism. Using index parameters, WKMSD Proposed algorithm has decreased data abundance accumulation percentage and the new algorithm presents a technical method so that, using it, we may reduce the information search time at the banks. Using K-Means...
Successful data quality analyzing depends on the business rules. We present a knowledge-based framework for data quality analyzing, which carries out the representation of business knowledge by production rules and performs Analysis and cleansing operations automatically by Jess engine driver; The framework provides a systematic approach for domain knowledge representation, supports the complete life-cycle...
In order to realize a human-like intuitive communication between human and robot, a robot should understand the human's basic level knowledge which is usually hidden in communication. However, as human's basic level knowledge has been unconsciously built during our development, it is very hard to build the knowledge network as the computational system. In this paper, we propose the approach to build...
Web surfing has become an important activity for many consumers. We propose a web recommender that models user behavior by constructing a know ledge base using temporal web access patterns as input. We apply fuzzy logic to represent real-life temp oral concepts and requested resources of periodic pattern-based web access activities. Th e fuzzy representation is used to construct a know ledge base...
Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been...
This paper investigates the advantages of using web data to forecast white liquor market demand. The authors constructed the corresponding relationship between web information structure and white liquor market demand, explored the methods of using web data mining techniques to analyze and predict white liquor market demands, and established the principles of constructing knowledge base based on the...
Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. According to the features of association rule, the...
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