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Cognition disorientation problem is one of the major problems caused by the self-learning principle in the current web based intelligent learning systems. Providing learners with the personalized learning path can effectively smooth over the problem. In this paper, we provide learners with learning paths which is based on the 3 dimensioned SLN (3d_SLN) map according to their different learning styles...
Event processing is a significant evolution in the field of information technology. Semantic link network (SLN) is a semantic data model for managing resources and their semantic relations. This paper proposes a two-layered SLN model for event processing: the matter level and the event level. The event SLN aims to record and manage the evolving process of the matter level. We propose a domain independent...
A Bayesian network representing an actual prosecuted case of illegal file sharing over a peer-to-peer network has been subjected to a systematic and rigorous sensitivity analysis. Our results demonstrate that such networks are usefully insensitive both to the occurrence of missing evidential traces and to the choice of conditional evidential probabilities. The importance of this finding for the investigation...
As an important nature of subjective trust, uncertainty should be preserved and exhibited in trust definition, representation and inference. In view of the problems in existing mechanisms based on random mathematics and fuzzy set theory, this paper designs a trust inference mechanism based on cloud model theory. We define trust and trust level in form of cloud. Then we propose new measure for formalized...
Trust among Internet users and thus social networks plays an important role in e-commerce and other Internet applications. However, the precise mathematical model of trust and thus applications based on trust in e-commerce system has not been satisfactorily established yet. In this paper, we present a probability theoretic framework to quantitatively measure trust as mathematical reasoning and to...
Formal models are often used to verify systems and prove their correctness, and ensure that transformed models remain consistent to the original system. However, formal techniques can also be used to add reasoning in the engineering of models, predicting the developers intentions. On a programming level, a similar approach has been used very successfully in several web application frameworks. Promoting...
Formalized representations of knowledge can offer greater flexibility and broader applicability to problem solving programs, by reducing the need for specialized programming. However, this promise can only be fully realized if all of the knowledge required for some task is available in suitable form. The recent increase in popularity of logicbased representations, operating over web-based logical...
In this paper, we take the interoperability and collaborative problems among various objects belong to different smart space into account and propose the features for object service provision in smart space. On the basis of the above features, we give a semantic and automatic framework for objects service in smart space. In the framework, techniques of object service provision, context-aware, semantic...
Trustworthy network fault diagnosis approach is one critical management item to enhance network trustworthiness. Aiming at gaining highly trustworthy of fault diagnosis in Internet, we present a trustworthy fault diagnosis approach based on integration of Artificial Neural Network and Rule-based Reasoning. Supported by the topology of hierarchical and distributed in multi-domains, reasoning rule matrix...
It is urgent to filter invalid or even hostile information in web information systems. A configurable rule engine is designed to solve the problem of simpleness and low self-adaptive ability of rule matching method in traditional information filtering algorithm. In the engine, functions are dynamically called by using reflect mechanism to achieve computing of atom rules, logic rules are described...
According to the current application and maintenance situation of numerical control equipment (NCE), a novel remote fault diagnosis expert system is designed to prevent fault occurrence and quicken the recovering process by online real-time monitoring the working state of NCEs. The article addresses the overall framework and relevant application technology of fault diagnosis system (FDS) and emphasizes...
In this talk, we will describe studying on granular reasoning of human and Web in a unified way from the viewpoint of brain informatics. We consider Web granular reasoning as an application of human-inspired granular reasoning. As for human granular reasoning, based on the previous studies about basic-level advantage and its reversal effect, we use fMRI/ERP to investigate how the neural system cooperates...
Resource Space Model (RSM) is a semantic data model for specifying, storing, managing and locating Web resources by appropriately classifying the contents of resources. Semantic Link Network (SLN) was designed to establish semantic relationships among various resources aiming at extending the hyperlink network World Wide Web to a semantic-rich network. For locating and analyzing the relationships...
Ontology Web Language (OWL) is an ontology description language for the semantic Web. It is known for its capabilities of representing knowledge and knowledge-based reasoning. OWL has been increasingly used for modeling the entities in pervasive computing environment. However, OWL gives no specific support for exclusive relations between properties owned by subjects, which bring inconvenience for...
Authorization plays an essential role to ensure the security of a wide variety of computing and IT systems such as data management systems, e-trading systems, database transaction systems, etc. This paper aims to propose a high level formal language for specifying and evaluating distributed authorizations with delegation, develop a new method for credential chain discovery, and implement a system...
Semantic inferencing and querying across large-scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google's MapReduce framework to implement scale-out distributed querying and reasoning. This approach requires RDF graphs to be decomposed into smaller units that are distributed across computational nodes. RDF Molecules appear to offer an ideal approach...
Service computing is emerging as a promising computing paradigm to offer the convenience for users to resolve complex business process problems on an integrated, large-scale, distributed and heterogeneous Internet environments. To successfully execute a business process, the workflow creation by depending on service discovery techniques should be made in the first place. Particularly, semantics have...
Current searching works are common and essential in Web users. On the other hand, in the real world, the searching is the time-consuming works because of several searching to extract more exact and satisfied information. In this paper, we propose an Inference process to effectively extract control points based on the ontology. The ontology-based searching supports hierarchical and associated results...
In todaypsilas world, many systems and approaches make it possible for us to be guided by the recommendations they provide. Personalization, which intends to resolve the problems caused by the huge amount of information around, is the main goal to be achieved by these systems. In this paper, we represent the Web based recommendation system that we have developed by using personalization techniques...
In the virtual society on Internet seeking trusted nodes is a very difficult task in that there are so many elements to make all things uncertain. Therefore how to make trust decision becomes troublesome and has attracted interest from so many researchers. Traditional decision-making methods are mainly dependent on some uncertain theories, which include fuzzy sets theory, rough set theory, Bayesian...
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