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In a real world, it is often in a group setting that sensitive information has to be stored in databases of a server. Although personal information does not need to be stored in a server, the secret information shared by group members is likely to be stored there. The shared sensitive information requires more security and privacy protection. To our best knowledge, there is no paper which deals with...
data, i.e. location and also conditions on their text attached to locations. Instead of asking restaurant nearest from the current location these new forms of queries will ask the restaurant nearest from current location with having some attached keywords like famous for brandy, or other menus as keywords attached with
With the popularity of XML technology and Native XML database, efficiently indexing, and retrieving XML data in Native XML database become a important research topic. This paper proposes a keyword-based query solution for Native XML database. An inverted index for XML documents in Native XML database is constructed
As a practical and efficient technique to access XML data, keyword query approaches should address two main problems: enable users to express their query intentions accurately and provide matching algorithms to realize users' query intentions faithfully. Most of the existing researches concentrate on the second
Information retrieval techniques play vital role in the era of information technology. Inverted index is one of the technique to retrieve the information/data related with certain keyword. This technique gives faster results to retrieve relevant document from billions of documents, which contains specified keyword. In
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
Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with
Matching search technology based on query keyword has been widely used by traditional search way. It still belongs to pure keyword matching and can not acquire satisfactory search results. The essential reason is that traditional Web search lacks semantic understanding to user's search behaviors. In this study, we
This paper proposed a structured p2p model called balance-peer, introduce a method to partition the data rang without any global information on the load to. Our Balance-peer model is used to realize a partition-by-keyword indexing service based on DHT with each node in the system responsible for part of the keywords
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
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
proposing a Scheme to search information semantically over unstructured P2P network, based on ontology. The ontology best described as a formal representation of a set of words within a domain and a relationship between those words rather keywords. The ontology uses Dewey Decimal Code to facilitate the classification taxonomy
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.