Essays about: "Semantic Web mining"
Showing result 1 - 5 of 7 essays containing the words Semantic Web mining.
-
1. Ontology-Based SemanticWeb Mining Challenges : A Literature Review
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The semantic web is an extension of the current web that provides a standardstructure for data representation and reasoning, allowing content to be readable for both humans and machines in a form known as ontological knowledgebases. The goal of the Semantic Web is to be used in large-scale technologies or systems such as search engines, healthcare systems, and social mediaplatforms. READ MORE
-
2. A Hybrid Recommender: Study and implementation of course selection recommender engine
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis project is a theoretical and practical study on recommender systems (RSs). It aims to help the planning of course selection for students from the Master Programme in Computer Science in Uppsala University. READ MORE
-
3. Integrating Heterogeneous Data
University essay from Mittuniversitetet/Avdelningen för arkiv- och datavetenskapAbstract : Technological advances, particularly in the areas of processing and storage have made it possible to gather an unprecedented vast and heterogeneous amount of data. The evolution of the internet, particularly Social media, the internet of things, and mobile technology together with new business trends has precipitated us in the age of Big data and add complexity to the integration task. READ MORE
-
4. Development of a semantic data collection tool. : The Wikidata Project as a step towards the semantic web.
University essay from Mittuniversitetet/Avdelningen för informations- och kommunikationssystemAbstract : The World Wide Web contains a vast amount of information. This feature makes it a very useful part of our everyday activities but the information contained within is made up of an exponentially increasing repository of semantically unstructured data. READ MORE
-
5. Word Space Models for Web User Clustering and Page Prefetching
University essay from Institutionen för datavetenskap; Filosofiska fakultetenAbstract : This study evaluates methods for clustering web users via vector space models, for the purpose of web page prefetching for possible applications of server optimization. An experiment using Latent Semantic Analysis (LSA) is deployed to investigate whether LSA can reproduce the encouraging results obtained from previous research with Random Indexing (RI) and a chaos based optimization algorithm (CAS-C). READ MORE