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Advanced mobile devices increasingly provide innovative services and applications that can be accessed anywhere and anytime. The actual challenge is to take into account the dynamically changing conditions of the heterogeneous resources (equipments, data sources, services, etc) required for providing in ubiquitous environments an optimized, self-adaptive and personalized task management according...
The knowledge representation is the symbolization process of knowledge. In nature, knowledge representation adopts a technology model to map the knowledge required to solute problems into data structures to find a solution to these problems. The process of knowledge representation transforms the relevant knowledge into data structures. The goal of knowledge mapping in an intelligent learning system...
This paper analyzes some problems in power enterprise data exchange, combines with ontology technology which gives the advantage to the knowledge representation, sharing and reasoning, and proposes a ontology-based power enterprise data exchange system architecture, which is divided into the application layer, middle layer and data source layer. Constructing a global ontology to describe global pattern...
Since an increasing number of disciplines have been involved in R&D processes of the complex product, resulting in the non-unified representation of data and knowledge, difficulties in product date sharing and communication, low efficiency problems on information retrieval, this paper presents a new product expression framework based on the semantic model that combines the product modeling knowledge...
Today, it is difficult to reuse and share spatial data, because of the explosive growth of heterogeneous data and the specific characteristics of spatial data that different local agencies accumulate. A spatial analysis of subsurface spatial information, that which is part of the national spatial data infrastructure, needs related spatial information such as topographical maps, geological maps, and...
Knowledge representation (KR) is critical to establish effective knowledge-based systems (KBSs) and closely linked with knowledge reasoning and the extension of a KBS. At the same time, KR is the bottleneck that all knowledge engineers face, especially in representing complex domain knowledge. This paper proposes a new approach based on unified modeling language (UML) which takes knowledge as a process...
This paper describes a design system with unified expression of the design knowledge based on the ontological driven method according to the characteristics of electrical casting products and dies. A detailed discussion about the knowledge modeling technology including the knowledge representation model of products and dies is put forward. Further explanation of the modeling strategy of the whole...
A novel semantic representation model based on Concepts and Knowledge Trees for the elements of news is described in this paper. The theoretical foundations about Concepts and Knowledge Trees are introduced briefly first. Then the key points of representing the semantic information of the four main news elements using the given model are explained respectively. Both advantages and disadvantages of...
Most service and network management applications are developed to use vendor- and device-specific management data. These data are produced from different languages, and hence can have different representations of the same concept. We define a novel knowledge representation and mapping mechanism that uses ontological concepts and relations to generate a formal description for the Directory Enabled...
Semantic Web Service (SWS) composition is a challenging AI problem. We describe a theoretical and experimental framework based upon finite model search for constrained object models to address this problem. In many AI situations the input is rather simple, and the results complex to obtain. SWS composition requests themselves can turn very complex, and the problem of building these requests can be...
This paper proposes a novel approach to generating an ontological perspective for software system. This ontology is a combination of two other ontologies: domain ontology and class diagram ontology. Domain ontology is domain vocabulary which is built by domain experts, while class diagram ontology is automatically populated from source code to represent the knowledge in the code. Combining these two...
Knowledge management has received great and ongoing attention during the last decades. The amount of knowledge and the interest for knowledge exploitation has been the spark for numerous attempts and proposals concerning knowledge representation, storage, usage, querying, acquisition and deduction. Ontologies offer an intuitive and expressive tool for these objectives. In this paper we propose an...
Mappings usually relate two similar knowledge representations. Thus, we can find many examples of mappings amid thesauri, databases, ontologies (domain ontologies, top-level and domain ontologies, PSM (Problem Solving Method) and domain ontologies, linguistic and domain ontologies); additionally, we can frequently find systems with mappings that relate two different knowledge representations, for...
Knowledge representation is a multidisciplinary subject that needs to apply theories and techniques from logic, ontology and computation. There are a great number of languages able to represent knowledge, among them UML can be considered a suitable language for modelling knowledge. It could be included within the category of visual languages for knowledge representation. On the other hand, numerous...
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