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easily retrieve the necessary data. In this study, we propose a method for providing multifaceted search results and effective Web mining by not only using keywords but also leveraging relationships that include information contained within a resource.
Patent documents are provide a significant source of knowledge about future technologies. Many attempts have been conducted to mine important knowledge from patents to analyze new technology trends. In this paper, we will to analyze implicit knowledge derived from the patents dataset of Big Data domain from KIPRIS
This paper analyzes the meaning and significance of key authentic degree of cryptosystem under the threat of the rubber-hose attack and ciphertext only attack. A novel cryptosystem of low key authentic degree is designed. The inner encryption is an extension like multiple-choice questions with keywords similar and
Broadcasting companies have started offering video-on-demand services to provide their viewers with various kinds of TV programs. Most of these services have a program retrieval system that helps users find the TV programs they would like to watch. The conventional systems retrieve TV programs by keyword matching of
This research paper describes the application of linguistic analysis through scaled co-occurrence networks to create visual representations of systematic literature reviews. This approach uses currently available and free tools in this new application. Co-occurrence networks are a method for visualizing relationships
, social networks such as Facebook, and data from news stations. Such geo-textual data allows to immediately detect and react to new and emerging trends. A trend is a set of keywords associated with a time interval where the frequency of these keywords is increased significantly. In this paper, we investigate the
In this paper, a new concept based on the field of web usage mining, a new recommender system for user rating and synonyms based ranking of the websites has been proposed. In recommender system, when the user searches for a keyword, that keyword is searched and also the related synonyms. Based on its search, the
In order to solve the limitations of most of the current search engines only through the user's handwriting input keywords to read information, described new search engine system based on computer vision. Containing the information search and problem solve two basic parts. And for the needs of the people in daily
of new courses, there is a need of new model answers to the wide range of questions being asked. To address aforementioned issues effectually, this paper presents an approach which allows users to interact with paper documents, books and answer sheets etc. and to evaluate performance based on keywords harmonized with a
keywords. These Web pages are ranked by a newly introduced equation. It is evident that all matched Web pages are not selected by this keyword selection procedure. Hence, unmatched Web pages are checked and named as ‘Secondary’ Web pages. These Web pages are ranked by another new equation. Ranking procedure of
does not consider the keyword attributes on the query interface. This paper presents increment-based random walk, a new technique applicable to any kind of attributes. The main idea of this approach is for keyword attributes, it incrementally obtains new values from a database. That is, select a value from the current
In this paper different searchable encryption techniques are studied along with some implementation of searchable encryption in a cloud environment. Symmetric searchable encryption is implemented through trapdoor function to selectively expose keyword for search. A new method of achieving searchable encryption in the
In this paper, a new set of features for addressing the problem of unsupervised query-by-example spoken term detection is proposed. The main purpose of this is to find a spoken query in large speech databases. In unsupervised audio search, language specific resources are not required. Thus this system is more
This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-frame extraction, we proposed a Maximally Stable Extremal Region (MSER) based feature which is
making a study on the status of natural language querying for databases, the paper sums up three methods used in natural query language processing, which are Pattern Matching, Dependency Extraction and Knowledge Extension. Then it proposes a new method for Natural Language Processing (NLP) based on the features of the RS
over the past 20 years and the annual paper production in 2007 was about three times that in 1999. The analytical results eventually lead to several key findings. Several author keywords became the focus in the last few years, and might be a new research direction in the future. There are clear distinctions among author
Topic digital library is a special domain digital library based on topic features. This paper is to introduce a new approach to build topic navigation in the topic digital library using topic extraction and clustering. Topic digital library is an important application of knowledge service and it is a special domain
they do well for keyword search strings such as "ocean'08 conference information", they are quite inadequate for searching against structured data such as "time- series ocean surface temperature or salinity levels in the Gulf of Mexico". Traditional search engines deploy various complex algorithms, take into account the
view and new insights for novel species. However, utilization of whole genome sequences to discover genetic biomarkers for specific functional gene groups still possess many challenges. To solve this problem, we utilized Gene Ontology definitions and Ensembl orthologous information to decide a set of associated functional
The present research paper introduces and discusses a novel approach to business-matching and recommending systems for next-generation e-marketplaces. The goal from this approach is to shift the focus from search-oriented matching, toward assistance-providing business matching, especially for small businesses. The
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