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propose a """"Hybrid Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions"""" (""""IoT-SVK Search Engine"""" for short). The experimental results
suggest the ways that make and renew the ontology, which are related with the keywords that users input in the search engine, automatically for the automatic generation of ontology that is not limited by specific domain. Input keyword and relation keywords become OWL, and the relation among the created OWL is expressed by
Focused crawling is a mean for acquiring raw big data materials from the web. This paper proposes a focused crawler for discovering Arabic poetry resources based on the Apache Nutch crawler. The crawler identifies poetry relevant resources using an SVM classifier and a list of Arabic poetry related keywords. The
Current search engines have two problems, losing useful information and including useless information. These two problems are aroused by the keyword matching retrieval model, which is adopted by almost all search engines. We introduce the conception of category attribute of a word. According to the category attribute
This paper proposes an inverted-index-based, practical, encrypted search engine, including encrypted index creation, search, and maintenance methods. Recently, more and more patients are placing their medical data at online third-party services, such as Google Health. If such sensitive data are stored at a semi-trusted third-party, security guarantee is necessary for assurance of data confidentiality...
With the rapid development of information technology, search engine optimization (SEO) technology has attracted more and more attentions. In order to improve their website visit quantity, SEO techniques can make a better ranking in the search result using the keyword selection and deployment, high quality back links
Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions (""""IoT-SVK Search Engine""""), in this paper. The IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and thus provides a good
keyword search's UDDI. Services returned to users often can't be called. This paper will raise a new Web Service access and discovery strategy which combines with Search Engine technology and Semantic Web technology. Search engine technology provides a search capability based on lexical analysis and grammar analysis while
For most of the current search engines, the difference of their returned results are only because of the different keywords, i.e. for the same keywords used for searching, the same results will be returned. In fact, different users may have different search purposes even if they use the same keywords. In this paper
In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually
On account of the weakness of the current search engine, we put forward the concept of semantic search. Integrated with the unstructured information management architecture (UIMA) of IBM, we can make search not only just base on the search of keywords, but through the comprehension of the unstructured information to
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