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Different from general-purpose search engines, vertical search engine only needs to collect and index only a specific knowledge domain, and then provides more professional search services for users. In this paper, we propose a novel library resource vertical search engine based on ontology technology. In the vertical search engine, the information that crawler collects from Internet should be further...
Knowledge advantage Machine (KaM) is an advanced system for knowledge exploitation. In this paper, we propose a Behavior Centric Service Discovery model, which helps one or more knowledge-workers to discover useful knowledge objects dubbed JANs, and then link the JANs into a personal knowledge and a group knowledge network. We construct JAN as a service to semantically present three categories of...
Due to unprecedented growth of information on the Web and lack of structure in many Web sites, it became real challenge to the Web users to find relevant information. To solve this problem, Personalization is considered as a popular solution to customize the World Wide Web environment toward the user's preferences. Recent study shows that Web Usage Mining techniques play an important role in designing...
Web page recommendation system is one kind of the recommendation system based on the user's current web navigation behavior that automatically recommends web pages in which a particular user is most interesting. For effective web page recommendations, it is very crucial and difficult to find the useful and sufficient knowledge from web usage data. This paper discusses taxonomy of recommendation system...
The fundamental objective of an information search system based on interest center and the user profile is to return, from a collection of documents, the elements that are relevant to specific user needs. The selection of only documents interesting a user is done on the basis of interest center, calculated from the information about the user named user profile. The information retrieval systems converge...
Today's web is a human-readable where information cannot be easily processed by the machine. At the same time, the enormous amount of data has made it increasingly difficult to find, access, present, and maintain relevant information. The present data retrieval techniques are based on the full content coordinating of keywords, which lack the semantic data. In this paper the semantic based information...
Users and uses of internet is growing tremendously these days which causing an extreme trouble and efforts at user side to get web pages searched which are as per concern and relevant to user's requirement Generally users approach to search web pages from a large available hierarchy of concepts or use a query to browse web pages from available search engine and receive results based on search pattern...
With the rapid development of smart phones and mobile Internet, the number of mobile software has largely increased, and online mobile software markets have also emerged, providing mobile software introduction and download for users. However, for online resources are distributed and heterogeneous, different online markets may give different names, incomplete information or incorrect data about the...
Due to the independence of the domain knowledge, general search engine has "theme drift" problem in the search of domain knowledge. Topic specific search engine offers a faster, and more accurate web resources retrieval service, and a good web page sorting algorithm can improve user experience. In this paper, we proposed a new sorting algorithm for topic specific search engine based on ontology...
Web now has become a great source of information now-a-days but this information is not sequentially stored rather stored in a hyperlinked form. The generic crawlers are not able to differentiate between relevant and related. So to improve over the results returned by the generic web crawlers, topic specific crawlers were designed called as focused crawlers. The focused crawler crawl a specific part...
Internets are important in everyone's life like searching keyword, college, social network and online shopping, when user using the internet for searching the keyword they getting some problem. That is when user searching for the keyword for some meaning but they will get different meaning for that keyword. Because each web page contain more information for single keyword. To get exact information...
The voluminous amount of information available in the Web makes information retrieval a challenging task. Most of the surfers' time is wasted in following different links ranked by search engines. Moreover, manual integration of information available in different Web pages is difficult and inefficient. So, to ease the process of information retrieval and to provide the surfer with more relevant information,...
The PageRank algorithm is used in the Google search engine to calculate a single list of popularity scores for each page in the Web. These popularity scores are used to rank query results when presented to the user. PageRank assigns to a page a score proportional to the number of times a random surfer would visit that page, if it surfed indefinitely from page to page, following all outlinks from a...
Metadata integration and use represents an open problem due to the rapid expansion of data resources in a nonstandard compliant environment. The increasing need to access and retrieve relevant data based on semantic similarity from distributed, autonomous and heterogeneous sources demands innovative solutions that can offer an integrated global view over various local schemas. The framework proposed...
Current classification techniques use word matching and clustering techniques to classify webpages. These techniques use ad hoc approach of checking and matching the entire keywords in a webpage for classification. These methods are efficient but not without problems. In general, they suffer from the following problems 1) As they use brute force matching for the entire document, they tend to be slow...
Currently there are a number of ontological tools available in handling heterogeneous data presented in the computing domain. However, there are no surveys available in evaluating the performance of these tools. In this paper, we provide an in-depth discussion on the state-of-the-art ontological tools and their application to the real world domain. First, we describe the operation of these tools,...
This paper describes the development of a language and reporting structure for pathologists in the reporting of oesophageal biopsies. Biopsies are needed to confirm a diagnosis after endoscopic procedures and it has been noted that differences of diagnosis exist between pathologists. An ontology is proposed that is expected to reduce the variations that currently exist. The reporting procedure was...
Process knowledge, such as tasks involved in a process and the control flow and data flow among tasks, is critical for designing business processes. Such process knowledge enables service composition which integrates different services to implement business processes. In the current state of practice, business processes are primarily designed by experienced business analysts who have extensive process...
Extracting structured information from pages published on the worldwide web is a problem with many facets that has gained growing interest in recent years. We propose a novel ontology-based approach that can achieve both the extraction and the semantic description of data contained in a web page. Existing methods addressing these issues range from pure manual methods based on rules to systems that...
Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which employs user context and semantic concepts to discover new words for obtaining accurate...
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