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Various types of structured information in Chinese encyclopedia HDWiki like as Wikipedia were divided into three categories: concept, relationship and entity. This paper described a novel symbols guided search that facilitated user to format unambiguous and complex logical queries in the logic of natural language. This facilitation and understanding base on the ternary relationships exist among the...
Sensor plays an important role in context-aware computing. While sensor modeling is usually isolated from former researches on context modeling and sensor type is always restricted to physical ones, this paper aims to provide a more comprehensive insight into the relationships between sensor and context. Based on a more generic definition of sensor and a corresponding sensor category in context-aware...
Existing evaluation methods either investigate whether ontologies are “fit for purpose”, or focus on evaluating consistencies of the data in regard to the axioms defined in the ontologies. In this paper, we focus on how to evaluate the consistency of ontology with respect to taxonomic relationships, and we suggest a new measure to evaluate the taxonomic consistency of an ontology. As the semantic...
As a scheduled World Expo in the grand tradition of international fairs and expositions, Shanghai World Expo (SWE) has recently gained much attention for its highly sophisticated online vision called "Online Expo Shanghai". In this context, researchers are working to provide intelligent mechanisms to SWE. To support intelligent SWE managements and services, SWE modeling is an essential requirement...
In this paper, we propose a new measure framework for evaluating taxonomy relationships in ontologies using lexical semantic relatedness. First, we suggest a new quantitative measure model for WordNet, the model can be used to compute the semantic relatedness of concepts in ontologies. Next, according to the relativities of concepts, we describe the way to estimate the classification consistency of...
This paper presents an automatic term extraction method based on Markov process. The method aims to extract multi-word domain terms from English corpora. The paper proves that the extracting term process is a Markov chain firstly, and then gives the steps of the Markov-based method. In order to evaluate our method, we use a corpus related to computer science got by Web crawlers, and extract domain...
A new method to compute the similarity of two blog posts is proposed in this paper. This method mainly has two parts including keywords extraction and semantic similarity measurement. During keywords extraction part, the method utilizes particular post features to extract keywords from one blog post with the aim to improve the correlation rate. In order to compute the similarity of any two blog posts...
This paper presents a method of extracting domain ontology from WordNet. The novelty of the method is taking WordNet as one and only knowledge base, this can improve the efficiency of domain ontology building. In our method, kernel concepts are given by domain experts firstly, then IC-based semantic similarity algorithm is used to extract domain concepts from WordNet, in the end, domain concepts are...
Semantically-based watermarking scheme embeds the information by transforming semantic structure of the sentence. In this paper we propose an optimized semantic watermarking algorithm which introduces TMR string reranking mechanism before watermark embedding. The optimized algorithm has the feature of resisting sentence reordering attack to a certain extent. To evaluate the effectiveness of our algorithm,...
The openness of Internet leads to security problems of network, among which content security is an important problem. In order to solve the problem effectively, a security scheme of information content which based on content security ontology (CSO) is presented. CSO is extracted from a security kernel (SK) which is a lexicon of information security knowledge drawing out from general thesaurus and...
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