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Discovering semantic correspondences between ontology elements is a crucial task for merging heterogeneous ontologies. Most ontology merging tools use several methods to aggregate and combine similarity measures. In addition, some of the ontology merging systems exploit external resources such as, Linguistic Knowledge Bases (e.g. WordNet) to support this task. However, the quality of their results...
While applying attribute based access control in dynamic open multi-domain environments, an important critical problem is how to make these domains know each other about the semantics of attributes defined by them. Towards this problem, a novel method of attribute matching is proposed in this paper. This matching is based on other domains' knowledges of the specific concept relationship. The knowledge...
With the pervasion of Internet and the sharp increase of the number of netizens, Network public opinion has been serving as an effective method in the monitoring and reflection of social public opinion. However, Regulatory Authorities are inclined to concern more about public opinion in a special field while it is too difficult to acquisite the expected information that relates to a special area from...
Despite many serious research efforts, personalization in social web is still a challenge. Existing techniques for social networking rely on state of the art Database and Web 2.0 techniques, that don't allow data representation seminally. In this paper we have proposed a method for improving presentation in social web by ontology based knowledge representation that enables semantic profiling in social...
In this paper, we introduce an effective method of ontology data management on flash memory based SSD. Ontology is the concept to manage semantic Web data. However, ontology is used not only in semantic web but also in life sciences, intelligence and CRM/ERP nowadays. Adapting ontology concept on these field, ontology have been managing large amount of data. Therefore, we suggest the effective method...
This paper presents some research results which assesses the problem of query expansion in search activities. We propose the use of domain ontologies, linguistic processing and validation based on a general dictionary. The work is focused on Learning Object's search in specialized repositories. It includes a review of query expansion methods that can be used in e-learning and a description of a prototype...
The design meta-intent information is a kind of information about design rationale for design intent objects such as features, parameters and constraints. Based on the design meta-intent representation model this paper explores an ontology-based semantic query and reasoning method for design meta-intent information. A Jena-based semantic query process framework is presented. The user's queries for...
An inverted index structure of path that based on domain ontology is proposed in this paper. The all of distinct entities in domain ontology are indexed; and for each distinct entity an inverted list, storing the entity and the identifiers of the path containing the entity, and experimental results show that the index structure is more suitable for the query of multiple keywords and it can eliminate...
This paper provides a navigation system model and some critical implementation techniques. Softman is introduced into this system, and its migration model and strategy are all proposed, which can improve the Softman's adaptability in complex network and host environment. A feature mapping and concept expansion method is also presented to describe the semantic of multimedia information and establish...
As ontology is subjective and varies in different domains, the amount of ontologies turns out to be huge but with poor compatibility. Mainstream method for ontology integration is mostly achieved by establishing mappings between ontologies. In this essay, the author put forward another way of ontology merging. After statistic machine learning on concept relations, the frequency of different ontologies...
Ontologies are an effective means to formally specify and constrain knowledge. They have proved their utility in various data mining applications, especially in annotating text to render it machine interpretable. More challenging research perspectives arise when ontologies are used to annotate images where the information is encoded in numeric pixel values rather than in natural language. Current...
As scientific achievements in the area of Healthcare have evolved during the last decade, inevitably there has been an increase of treatment quality. One of the challenges to be confronted is the personalization of treatment since each patient constitutes a unique case. The personalization requires the continuous reconfiguration of the treatment schemes since the clinical status of each patient and...
Recommendation systems are special personalization tools that help users to find interesting information and services in complex online shops. Even though today's e-commerce environments have drastically evolved and now incorporate techniques from other domains and application areas such as Web mining, semantics, artificial intelligence, user modeling and profiling, etc. setting up a successful recommendation...
Data preparation is an important part of the mining process. This paper describes MIDAS, an agent framework for intelligent data processing. The objective framework is to provide end users automated data processing services such as subsetting and data format translation by coupling Earth science markup language (ESML) interchange technology and ontologies. These ontology driven agents guide the user...
The automatic composition of Web services requires the existing services to be encoded in a semantic form, such as ontology. If Web services are represented with ontology, we can automatic compose Web services by means of their semantics. Ontology modeling is divided into two steps: input/output parameters modeling and Web services modeling. First, we collect Web services' input/output parameters,...
The Internet has become an important source of medical information for patients and their family members: search for information about their diseases and recent clinical research, building numeric communities for exchange and sharing of information and personal experiences. However, access to the Internet does not mean access to information. The lack of familiarity with the medical language is a major...
Teaching resources are very important to the people who are studying from the learning web. However, there are some semantic ambiguities between expressions of these resources which are stored in different systems. In order to reduce these ambiguities and share teaching resource to all users, a Teaching Resource Ontology model (TROM) based on SUMO was constructed in this paper, and relations among...
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