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

GULP

RECUR

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synovial-joint

Conference proceedings 2013 held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions. The papers cover a wide range of topics, including semantic search, ontology reasoning, social semantic Web, knowle

胡言亂語

厭煩

An Analysis of Data Quality in DBpedia and Zhishi.me,cted simply by SPARQL queries, while others cannot. For every problem listed in this paper, we present a method for the detection of it. Besides, we do experiments to demonstrate the validity of our methods.

極力證明

Multi-criteria Axiom Ranking Based on Analytic Hierarchy Process, make the proposed method more practical, an approximation of it is also proposed. Experimental results show that the proposed method is feasible for small pairwise comparison matrices but is hard to scale to large ones, while the approximate method scales well to large pairwise comparison matrices.

規(guī)范就好

Toward Ontology Representation and Reasoning for News,this whole strategy we can detect the inconsistence among multiple news articles and compare the different information implied in different news. We can even integrate a set of news content through merging the RDF data. The empirical experiment conducted on news from several portals shows the effectiveness and usefulness of our method.

大廳

A New Model to Compute Semantic Similarity from Multi-ontology,l. Recently, some authors have extended some of the existing methodologies to support multiple ontologies to improve the correlation values. In this paper, a feature-based method with heuristic function is proposed to deal with multi-ontology. By comparing the correlation values attained in this met

路標

,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