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
In order to over the shortcoming of the incomprehensive of summarization, a new lexical-chain-based keywords extraction and automatic summarization algorithm from Chinese texts based on the unknown word recognition using co-occurrence of neighbor words is proposed in this paper, and an algorithm for constructing
Results diversification for keyword search on XML documents has attracted considerable attentions from research community in recent years. Though search results were diversified from different perspectives in the existing methods, the effects were still far away from satisfactory. This paper proposes a new way to
As the amount of data increases and the relations among them get more complex, access to information implicit in data appears more difficult, and the role of methods of getting data from diverse texts, and analyzing them becomes more significant. Of such methods is the highly effective technique of keyword extraction
in the paper, a new model (MAK-Chord) is presented which is expanded from Chord. It generates fingerprints for each resource which include all the attribute keyword information and take into account the query frequency difference. It gives two different mappings between resources and nodes and effectively supports
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
interest for people so in this paper an easy approach of gathering and analyzing data through keyword based search in social networks is examined using NodeXL and data is gathered from twitter in which political trends have been analyzed. As a result it will be analyzed that, what people are focusing most in politics.
Keyword extraction has been a very traditional topic in Natural Language Processing. However, most methods have been too complicated and slow to be applied in real applications, for example in web-based system. This paper proposes an approach which will complete some preparing works focusing on exploring the
Document Summarization (ADS) systems are suitable for the task of outlining useful data. The ADS system model takes a text document as input, and outputs a semantically-relevant summary of this information. This information can be further separated and outlined as keywords, or keyphrases. This paper proposes a novel
A model of the precursors of intention to use in online keyword searching is presented and empirically tested with data collection. Analysis of the data 331 participants, utilizing structural equation model (SEM), supported most of the predictions. Language anxiety, perceived ease of use, perceived usefulness
By borrowing ideas from a cryptographic algorithm of low key authentic degree, a novel steganographic method based on keyword shift is presented. The master key of the method is to shift the sensitive keywords in the text. The conditions to guarantee the reversibility of the method are analyzed and found out, the
keyword driven crawling with relevancy decision mechanism and uses Ontology concepts which ensures the best path for improving crawler's performance. This paper introduces extraction of URLs based on keyword or search criteria. It extracts URLs for web pages which contains searched keyword in their content and considers such
Artificial Intelligence and web when amalgamated, it may produce miracle in terms of semantic web and its one of the important application is in E-Learning. E-learning works efficiently only when E-Content preparation is need based, customizable and on-demand, preparation is real-time, searchable through keyword/s
This paper investigates the semantic search performance of search engines. Initially, three keyword-based search engines (Google, Yahoo and Msn) and a semantic search engine (Hakia) were selected. Then, ten queries, from various topics, and four phrases, having different syntax but similar meanings, were determined
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.