The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
An automatic document classifier system based on ontology and the naive Bayes classifier is proposed in this paper. The main concept is to first establish a keyword synonymous table by experts for narrowing down the range and getting the consistency of keywords. The formal concept analysis is then used for
form of an ontology which represents the distinct areas of Software Engineering knowledge inspired by SWEBOK (Software Engineering Body of Knowledge). Finally, the process of the classification of texts within the ontology is carried out in three steps: keyword analysis, processing of the document. We believe our proposal
mechanisms with a traditional indexing method. The goal is to identify a higher semantic content and more meaningful keyword combinations, considering both supervised and unsupervised techniques. Within a specific implementation both Bayesian learning as well as clustering are integrated to support a boost parameter towards
As the number of web services is increasing, finding the best service according to the users' requirements becomes a challenging task. Traditional method of web services discovery is based on keyword match. Due to this, many web services which are most relevant to the user request are left undiscoverable. Some other
into the server. Each of the file data or Web data is viewed as a memex event that can be described by 4W1H form. The memex event ontology is used to transform the various types of data to the standard 4W1H form. Users can view their life log chronologically and search them by keywords. Moreover, the life logs can be
With the dramatic increasing number of available Web services, how to locate the right services is becoming a big challenge in pervasive environments. The Web services discovery mechanism of UDDI based on keywords and simple classification can not meet the current needs. A semantic distance between ontology concepts
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.