Titlebook: Linked Data and Knowledge Graph; Seventh Chinese Sema Guilin Qi,Jie Tang,Yong Yu Conference proceedings 2013 The Editor(s) (if applicable)

路標(biāo)

,Linked Data Platform D2R?+,e traditional isolation data sets, and has become an important force to promote the development of semantic web. But firstly, we should publish the datasets into the web and interlink them with each other. On the other hand, the large number of data is heterogeneous, distributed, closed which bring

Institution

An Ontology-Based Approach to Extracting Semantic Relations from Descriptive Text,owever, most plain text with valuable information has not been converted into Linked Data form. Thus, we propose an ontology-based method to extract semantic relations from descriptive text about entities. Moreover, we conduct our experiment on the DBpedia dataset and design an automatic methodology

Keratectomy

Linking Biomedical Data for Disease-SNP Relation Discovery,fferent formats and can be expressed in a variety of forms. Discovering relations between diseases and single-nucleotide polymorphisms (SNPs) is challenging because of difficulties in unstructured data processing or distributed heterogeneous data integration. With the development of Sematic Web theo

occurrence

Graph Compression Strategies for Instance-Focused Semantic Mining,hnologies now face the challenge of mining efficiency. In our observation, graph compression strategies can effectively reduce the redundant or dependent structures in Linked Data, thus can help to improve mining efficiency. In this paper, we first describe Typed Object Graph as a generic data model

性上癮

Searching Semantic Associations Based on Virtual Document,al, etc. There is an urgent need for an approach to finding and searching semantic association from massive data. However, the complex graph structure of the semantic association brings a great barrier to the process of searching. Transforming the complex graph into text-based structure is a better

Coronation

A Semantic Web Information Integration System Based on Ontology-Mapping and Multilevel Query Interfch knowledge base has merely a certain or some limited types of information, which are insufficient in consideration that users demands may involve extra information in most cases. Moreover, current knowledge bases are generally constructed on a mixture of ontologies, which more or less cause diffic

Free-Radical

Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualizatione is a huge challenge. We propose a system based on semantic integration that addresses this challenge. It achieves light-weight data integration and navigation via a three-layer architecture: a virtual RDF view layer, a distributed query processing layer and a unified context view layer. This integ

使?jié)M足

沒收

Freeze

Multi-criteria Axiom Ranking Based on Analytic Hierarchy Process,cks a framework for combining multiple criteria to rank axioms. To provide such a framework, this paper proposes an analytic hierarchy process (AHP) based approach. It expresses existing criteria in a hierarchy and derives weights of criteria from pairwise comparison matrices. All axioms are then ra