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: the morphological, syntactic, and semantic levels. The basic unit of our search engine is the meaning not the word structure as structural research engines. It operates by keyword, subject, and syntactic analysis. We have developed a program that will be a search engine in the texts of the Holy Quran. ()
Keyword-based search algorithms may sometimes yield weird results despite the fact that they usually do their jobs well. Despite of the fact that the Web is the largest database, comparing to relational databases, the set of search operations for the Web is still primitive. This paper proposes two ways to remedy this
In this paper, we propose a method of converting a given sequence of search queries about a certain topic into a sequence of search queries about a given different topic. We define the concept of a search skeleton for topic conversion. A search skeleton represents relationships between keywords in a query. A given
In this paper is presented a method for automated generation of medical recommendations, using the combined power of the topic maps and expert systems. To obtain new knowledge from topic maps and to integrate this knowledge with a medical decision making systems, keywords for interrogation are needed. The keywords
Current many information retrieval methods are based on purely keywords for representing the user needs. One of the main problems with this method is that it does not formally capture the explicit meaning of a keywords query, and ignores the documents that may be different in content but related with them. To improve
In order to solve the problem that we can only collect data from one single data source at some fixed time after mining the keywords in a rather superficial level, and to take full use of the information returned by search engines to construct the social relationship network based on the semantic link of the searched
An intelligent model of relative words that concerns semantic similarity is discussed in this paper. Based on this model, a knowledge system capable of semantically calculating and associating has been developed, which enables adapting and/or extending keywords in search process. This paper aims to make information
With the proliferation of Cloud computing and itsincreasing adoption by research communities and IT companies,providing elastic processes has become a new research issuechallenging businesses and researchers. Ensuring processes elasticityhelps organizations to face highly variable service demandsituations or uncertain financial environments. This consist inacquiring and/or releasing resources dynamically...
Multivariate data analysis by artificial neural network (ANN) approach was carried out in a previous work to identify anomalous regime in a gas turbine operational data. In this work, statistical hypothesis analysis using univariate time series exhaust temperature data from the same engine model has been carried out. The objective is to compare the results of these two methods. The applicability and...
developer's development context to provide design pattern usage examples from projects that have a similar functional domain to that of the developer. In our approach, the Latent Dirichlet Allocation model is used to extract domain keywords from individual projects' source code. The domain keywords are stored in a fact
machine cannot understand the evaluation measures we give them in terms of keywords which act as features. Here initially the student written essay is compared with keywords mentioned by admin. If the similarity is less than 20%, then the essay is not up to the standard. Otherwise, it is evaluated using segmentation, stop
The existing search engine system almost based on keywords from users inputting. In a network environment, people can make use of the pc or mobile device for information retrieval. The way of inputting keywords has lasted for more than 20 years until Siri appeared in 2011. Siri can do information retrieval and process
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
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the
streaming data without worrying about the performance and scalability, and provides real-time and scalable Web monitoring for massive amounts of data. As an experimental proof-of-concept application, we built an application that monitors a list of keywords in the Twitter streaming data, and that displays any messages including
In order to study the retrieval precision of network information and solve the problems existed in search engines this paper analyzes problems and precision in the information retrieval according to experimental data such as image retrieval with different retrieval keywords, and puts forward a new construction of
This paper proposed an ontology-support web focused-crawler: OntoCrawler III for Java programs, in which only the user entered some keywords would the system supported by the domain ontology actively provide comparison and verification for those keywords so as to up-rise the precision and recall rates of webpage
, current search engines do not allow users to explore these features when posing a query. Search engine queries are based almost exclusively on keywords. We believe that it is possible to improve user satisfaction if HTML tags and document metadata are available to users at query time. In this paper we present Xearch, a meta
It has become common to search necessary services and contents using the Internet, but it is difficult to find exactly what one is looking for through keywords as each service is described in just too many ways. We developed "laddering" search service system that matches the needs of the users with the search targets
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by domain ontology actively provide comparison and verification for those keywords so as to up-rise precision rate of webpage searching. This
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