[PDF] Top 20 Ontology-Based Categorization of Web Services with Machine Learning
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Ontology-Based Categorization of Web Services with Machine Learning
... We carried out several document classification experi- ments on the manually annotated services using stan- dard parameters for GATE’s SVM tool, with unigrams of tokens 9 as the instance attributes (i.e., treating ... See full document
7
Effective Semantic Class Learning from the Web With Ontology
... applying machine learning techniques for automatic discovery and creation of ontological knowledge ...outstanding ontology development obstacles [12] (being time-consuming and Labor-intensive), ... See full document
7
Detection of Media Piracy using Artificial Intelligence, Machine Learning and Data Mining
... that Web Technology is evolving continuously day by day which helps media creators in marketing and distribution of media ...the web content like Free Cloud Spaces , Social Networking Portals, Email, ... See full document
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Adorning Web Search based on Ontology Semantics Spaces Provisioned through Web Services
... semantic web is envisioned to facilitate integration of data available across various web applications, web servers through semantic web services [6] ...built based on the RDF ... See full document
8
Web prediction method on social network analysis
... Ontology learning is defined as an approach of ontology building from knowledge sources using a set of machine learning techniques and knowledge acquisition ...methods. Ontology ... See full document
6
Online Full Text
... Subject based web directories like Open Directory Project’s (ODP) Directory Mozilla (DMOZ), Yahoo ...of web pages classified into various ...the web users. The exponential growth of the ... See full document
5
RESEARCH ISSUES IN TEXT CATEGORIZATION BASED ON MACHINE LEARNING: A REVIEW
... decision based on events and their expected outcomes ...implementing machine learning ...system based on decision tree and symbolic rule for text ...various machine learning ... See full document
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Ontology based engineering for self managing communications
... composite services, WSMO has focused on supporting choreography, ...Semantic Web Services working group and ...state machine to model service ... See full document
19
Knowledge based Learning Experience Management on the Semantic Web
... previous learning experiences form an important part of the learner’s knowledge and this knowledge can be collectively contributed from everybody and managed and reused on the semantic web to facilitate ... See full document
8
Web Search Engine Using Ontology Learning
... Wide Web is increasing rapidly, it is almost impossible to get relevant documents without using a search ...the web where keywords are given by the user ...keyword based search engines and do not ... See full document
6
Blogshare and Filter
... specifically web contents, and offers a user with classification mechanism to avoid the unnecessary ...content based filtering, this article introduces the filtered wall ...post based on the ... See full document
5
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
... text categorization employ induction algorithms that use the words ap- pearing in the training documents as ...many categorization tasks, these methods are inherently limited when faced with more ... See full document
49
Smart E Learning Ontology Based Web System
... in ontology. Semantic annotation of WEB resources needs the capability to transform syntactical information into semantic descriptors related to a conceptual domain model ...describe web resources; ... See full document
11
Machine Learning Techniques for Android Malware Detection and Categorization
... mark based strategies can't give precise identification of zero-day assaults and polymorphic infections, malwares and DDOS (Distributed Denial of ...for machine learning-based identification ... See full document
6
A Feedback and Threshold Based Filtering System for OSN-Online Social Networks
... A significant role is played by information and communication technology in today‟s networked society. An online interaction between users, who are aware of issues related to security applications and their impact on ... See full document
7
Using Unlabeled Data to Improve Author Identification
... The analysis of style for authorship attribution is mainly based on the assumption that each author has habits in wording (i.e., in the use of words) that makes her/his writing unique. However, this assumption is ... See full document
5
Some Investigations on Machine Learning Techniques for Automated Text Categorization
... K-Nearest Neighborhood (k-NN) is similarity based learning algorithm. It has wide application including TC. Given an arbitrary input document, the system ranks its nearest neighbors among the training ... See full document
5
ONTOLOGY BASED WEB SEARCH
... For Calculating semantic similarity, ontology must be specified first. For example, WordNet1 is a very famous and widely used ontology. Based on WorldNet, researchers have already put forward some ... See full document
5
A new framework for matching semantic web service descriptions based on OWL-S services
... semantic web services are published and updated with growing demand for cloud ...semantic web service to achieve the user's goal. In the semantic web service framework, users’ request is the ... See full document
14
Machine learning based Hybrid Method for Surface Defect Detection and Categorization in PU Foam
... Supervised machine learning algorithms can apply what has been learned in the past to new data using labeled examples to predict future ...the learning algorithm produces an inferred function to make ... See full document
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