Papers by Keyword: Semantics

Abstract: XML based publish/subscribe systems are on tremendous rise during recent years. In order to get interested documents, the subscribers submit an XPath Query. In such applications, there is often a mismatch between how publishers describe entities and how different subscribers express their interests. Lots of researches focus on filtering mechanisms, exists such as XFilter, YFilter, Afilter etc, but most of these mechanisms do not use the structural property of XML. This paper proposes an approach which dose XPath query expansion based on structural information. Firstly check query node in OWL classes and return semantically related data performing semantic normalized. Secondly, perform structural expansion depend on the XSD which set constraint on content published. Experiment results show that our approach performs well across a range of XPath queries and documents.

Abstract: Text classification has been a hot research in recent years. This text reviewed the history of text classification. It summarized some common classification methods and mainly introduced classification methods based on semantic. Especially, it elaborated the text classification based on ontology, the text classification based on similarity computation and the text classification based on latent semantic indexing.

Abstract: Information recommendation systems is the one of the most effective tools to solve the problem of information overload. In this paper, we design SIRSCA, a semantic-driven information recommendation system under cloud architecture. SIRSCA mainly includes four modules: semantics representation of foundation data and user preference informations; indexing mechanism of massive semantic informations under cloud architecture; recommendation approaches based on semantic computation theory; and technologies of dynamic migration under cloud architecture.

Abstract: With the rapid development of various three dimensional scanning devices, the 3D point cloud data of many objects in the real world can be easily obtained. Therefore, research on 3D reconstruction technology based on point cloud has important practical significance. In this paper, first the research background of point cloud reconstruction is analyzed; and then the typical methods for reconstruction are presented and discussed; finally the performance of these methods are analyzed and compared qualitatively, and the development trend in this field is prospected.

Abstract: Textual language information processing is the computer processing on the form and meaning of natural information. At present, the researches mainly focus on some special fields, such as word segmentation and part-of-speech tagging, etc. But until now, the achievements can hardly meet the needs of the computer automatic understanding on natural language. From this point, we should process the language meaning to achieve the deep knowledge acquisition and inference of the language information processing with the help of detailed analysis of sentence semantic structure and cognitive system based on the corpus. Basing on the existential sentence but not strictly clinging to the special existential sentence, that is, taking the view of general existential sentence, this paper extends its objects to the dynamic sentence, which denotes the existence, appearance or disappearance of something in some place. But taking the length into consideration, this paper merely emphasizes on the general existential sentence of V-Construction, whose common types are something in some places V or something V in some place, analyses not only its syntax and semantics, but also the reasons of the V-Construction from the cognitive perspective, and provides the resources for the computer to handle the semantic knowledge offered by Chinese. Through the quantitative statistics and qualitative inorganic analysis, the correlativity between dynamic and static existential sentence of V-Construction can be obtained, meanwhile, the sentence system of V-Construction can also be constructed.

Abstract: As a new tool and new approach in the scientific development of surveying and mapping service, the mission of geographic national condition monitoring is to provide objective, fair and accurate thematic information for integrated decision-making at all levels of government. How to realize the semantic sharing of geographic national condition thematic information is the key problem for geographic national condition to provide cross-industry, cross-sector and interdisciplinary information service. Based on ontology theory, this paper proposed a method for building geographic national conditions ontology attribute database. Tianjin geographic national conditions monitoring content and its service users are selected as knowledge domain and conceptualization and formal representation is made for geographic national information, protégé software is used to build ontology attribute library.

Abstract: The idea of smart home has been proposed for many years. However, the heterogeneity of device and data restricts the spread of it. Otherwise, the lack of underlying formal semantics between devices impedes the reusing and sharing classification across systems. We present a concept ontology in smart home which can capture the features of domain knowledge. A system architecture of smart home based on the concept ontology is constructed.

Abstract: Village land continually changes in the real world. In order to keep the data up-to-date, data producers need update the data frequently. When the village land data are updated, the update information must be dispensed to the end-users to keep their client-databases current. In the real world, village land changes in many forms. Identifying the change type of village land (i.e. captures the semantics of change) and representing them in the data world can help end-users understand the change commonly and be convenient for end-users to integrate these change information into their databases. This work focuses on the model of the spatio-temporal change. A three-tuple model CAR for representing the spatio-temporal change is proposed based on the village land feature set before change and the village land feature set after change, change type and rules. In this model, the C denotes the change type. A denotes the attribute set; R denotes the judging rules of change type. The rule is described by the IF－THEN expressions. By the operations between R and A, the C is distinguished. This model overcomes the limitations of current methods. And more, the rules in this model can be easy realized in computer program.

Abstract: Ontology has a strong ability in expressing of the semantics and conception speculating, so is used to deal with the problems in the databases integration. In this paper, we relative analysis the weak points of the local and global ontology, establishing a hybrid ontology framework in the databases integration, integrated the query module, shied of the discrepancy between the different data source, and introduced some of the critical techniques and with the supervisory module, log be produced too, convenient for system maintain and upgrade.

Abstract: Semantics is the study of the meaning of language learning. Semantics is the study of product form of the product symbol in the use of context features, and how to apply the knowledge in product creation. Ceramic products for both modern and beautiful because of their two properties and highly favored people. Ceramic product designer of consciousness, form, ideas, often through the collation and creation of mud, glaze, texture, firing and other semantic features to express and aspirations. And this eventually led to the demands of the continuous distillation of contemporary ceramic products in China re-opened to the door of modern ceramic art for daily use, a sharp self-semantic features.