Correction to: The Semantic Web
نویسندگان
چکیده
منابع مشابه
IMPROVE THE RECOMMENDER SYSTEM USING SEMANTIC WEB
To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include a...
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the frame semantic theory is a nascent approach in the area of translation studies which goes beyond the linguistic barriers and helps us to incorporate cognitive and cultural factors to the study of translation. based on rojos analytical model (2002b), which centered in the frames or knowledge structures activated in the text, the present research explores the various translation problems that...
15 صفحه اولSemantic Web Technology to Support Learning about the Semantic Web
In this paper we describe ASPL, Advanced Semantic Platform for Learning, designed using the Magpie framework with an aim to support students learning about the Semantic Web research area. In particular, we describe the evolution of ASPL and illustrate how we used the results from a formal evaluation of the initial version of the system to re-design the functionalities provided to the users. The...
متن کاملAHP Techniques for Trust Evaluation in Semantic Web
The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2022
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-06981-9_29