Search results for "Knowledge base"
showing 10 items of 142 documents
Semantic to intelligent web era
2013
International audience; The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a ne…
Offshore wind metadata management
2014
Offshore wind energy is gaining more and more attention from industry and research community due to its high potential in producing green energy and lowering price on electricity consumption. However, offshore wind is facing many challenges, and hence it is still expensive to install in large scale. It therefore needs to be considered from different aspects of technologies in order to overcome these challenges. One of the problems of the offshore wind is that information comes from different sources with diversity in types and format. Besides, there are existing wind databases that should be utilised in order to enrich the knowledge base of the wind domain. This paper describes an approach …
Tailorable Representation of Security Control Catalog on Semantic Wiki
2018
Selection of security controls to be implemented is an essential part of the information security management process in an organization. There exist a number of readily available information security management system standards, including control catalogs, that could be tailored by the organizations to meet their security objectives. Still, it has been noted that many organizations tend to lack even the implementation of the fundamental security controls. At the same time, semantic wikis have become popular collaboration and information sharing platforms that have proven their strength as an effective way to distribute domain-specific information within an organization. This paper evaluates…
A Social-Empowered Platform for Gathering Semantic Information
2013
Social Networks constitute the key ingredient for the huge success of the so called Social Web or Web 2.0. In social networks, a user has the possibility to interact with other users without the need of meeting them. The value of social applications benefit from the network effect, which states that the value of a service to a user arises from the number of people using the service. However, the associated semantics for this kind of applications, delivered through tagging, is generally scarce, thus narrowing the range of permissible operations for exploiting these data. In this paper, we present a semantic-based social platform that incorporates the benefits of semantic Web technologies int…
Information indexing and recommendation : toward a precise description if items by an ontological approach based on business domain modeling : applic…
2015
Effective management of large amounts of information has become a challenge increasinglyimportant for information systems. Everyday, new information sources emerge on the web. Someonecan easily find what he wants if (s)he seeks an article, a video or a specific artist. However,it becomes quite difficult, even impossible, to have an exploratory approach to discover newcontent. Recommender systems are software tools that aim to assist humans to deal withinformation overload. The work presented in this Phd thesis proposes an architecture for efficientrecommendation of news. In this document, we propose an architecture for efficient recommendationof news articles. Our ontological approach relie…
Cognitive intelligent sensory system for vision-based quality control
2003
This paper presents an original approach for a vision-based quality control system, built around a cognitive intelligent sensory system. The principle of the approach relies on two steps. First, a so-called initialization phase leads to structural knowledge on image acquisition conditions, type of illumination sources, etc. Second, the image is iteratively evaluated using this knowledge and complementary information (e.g., CAD models, and tolerance information). Finally, the information describing the quality of the piece under evaluation is extracted. A further aim of the approach is to enable building strategies that determine for instance the “next best view” required for completing the …
An Introduction to Ontology Based Structured Knowledge Base System: Knowledge Acquisition Module
2013
The following text presents the method of supplementing and verifying information stored in a framework system of the semantic knowledge base. The indicated method refers to the knowledge of ontological character, in other words to information about definitions of concepts and relationships among them. The aim of the method is the constant supplementing and verifying of the knowledge, and making more precise and detailed information about existing connections between concepts. The key aspect of the method is questions generating strictly dependent on the preconceived structure of stored knowledge.
Conceptual Ontological Object Knowledge Base and Language
2008
This paper deals with AI in aspect of knowledge acquisition and ontology base structure. The core of the system was designed in an object model to optimize it for further processing. Direct concept linking was used to assure fast semantic network processing. Predefined attributes used in the core minimize the number of basic connections within the ontology and help in inference. The system is assumed to generate questions and to specify the knowledge. The AI system defined in this way opens a possibility for better understanding of such basic human mind mechanisms as learning or analyzing.
Exploring the Role of Informants in Interpretive Case Study Research in IS
2011
Interpretive case study research constitutes an important and increasing part of the information systems (IS) knowledge base (Walsham, 1993; Myers, 1997; Pare and Elam, 1997; Walsham, 2006). Interpretive case studies can be distinguished from positivist case study research (Benbasat et al., 1987; Lee, 1989; Dube and Pare, 2003) by the focus on close interaction between researcher and participants throughout the case study process, viewing the case members as active participants in the construction of the case narrative (Boland, 1985; Guba and Lincoln, 1989; Kvale, 2002). However, while the interpretivist perspective ascribes an active role to the case study informants, in practice the exten…
Vertical Integration due to Software Systems' Modularity
2009
In their product portfolio, OSS/BSS software vendors make products pre-integrated with each other as well as with other related OSS/BSS products. Prior to the full-scale development and integration, it is vital for these vendors to assess which products are reasonable to integrate. Such integration of software may be aimed at achieving different goals, such as: Reducing software integration efforts. Software vendors aim at maximizing their profits, whereas their customers (i.e., CSPs) aim at minimizing their costs by avoiding the integration job. As a result, to approach a win–win scenario, vendors provide already integrated products or subsystems (pre-integrated modules). Sharing similar k…