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Web Page Structure Enhanced Feature Selection for Classification of Web Pages

B. LeelaDevi, A. Sankar
2013 International Journal of Computer Applications  
The features are classified using Support Vector Machine (SVM) using different kernels.  ...  In this paper, a model for the exploitation of semantic-based feature selection is proposed to improve search and retrieval of web pages over large document repositories.  ...  The features are classified using Support Vector Machine (SVM) using different kernels.  ... 
doi:10.5120/11818-7494 fatcat:ol7zrmg645fpjp3mv3uhu7tbie

Graph-Based Regularization for Transductive Class-Membership Prediction [chapter]

Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2014 Lecture Notes in Computer Science  
Considering the increasing availability of structured machine processable knowledge in the context of the Semantic Web, only relying on purely deductive inference may be limiting.  ...  We also evaluate its effectiveness with respect to other approaches based on inductive inference in SW literature.  ...  We also evaluated Support Vector Machines (SVM), which have been proposed for inducing robust classifiers from ontological knowledge bases [12, 19] .  ... 
doi:10.1007/978-3-319-13413-0_11 fatcat:slsv5472xfdnlm7abxkh4lrjpa

Mining the Semantic Web

Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
2012 Data mining and knowledge discovery  
In the Semantic Web vision of the World Wide Web, content will not only be accessible to humans but will also be available in machine interpretable form as ontological knowledge bases.  ...  Third, the construction of ontological knowledge bases suitable for advanced reasoning techniques is complex, which ultimately results in a lack of such expressive real-world data sets with large amounts  ...  through a set kernel.  ... 
doi:10.1007/s10618-012-0253-2 fatcat:qhkv27bbkvba3mlolhixrepioq

A Core Ontology of Knowledge Acquisition [chapter]

José Iria
2009 Lecture Notes in Computer Science  
In this paper, we present OAK, a well-founded, modular, extensible and multimedia-aware ontology of knowledge acquisition which extends existing foundational and core Semantic Web ontologies.  ...  We start by using a KA tool development scenario to illustrate the complexity of the problem, and identify a number of requirements for OAK.  ...  Acknowledgments This work was funded by the X-Media project (www.x-media-project.org) sponsored by the European Commission as part of the Information Society Technologies (IST) programme under EC grant  ... 
doi:10.1007/978-3-642-02121-3_20 fatcat:ipqkiyilc5hhfkuvifbxjirse4

Event detection and recognition for semantic annotation of video

Lamberto Ballan, Marco Bertini, Alberto Del Bimbo, Lorenzo Seidenari, Giuseppe Serra
2010 Multimedia tools and applications  
Research on methods for detection and recognition of events and actions in videos is receiving an increasing attention from the scientific community, because of its relevance for many applications, from  ...  Event detection and recognition requires to consider the temporal aspect of video, either at the low-level with appropriate features, or at a higher-level with models and classifiers than can represent  ...  Ontology Web Language (OWL) and Semantic Web Rule Language (SWRL) have been proposed by the World Wide Web Consortium (W3C) as language standards for representing ontologies and rules, respectively.  ... 
doi:10.1007/s11042-010-0643-7 fatcat:7x6x4r3n6rhnnofpqhbelgzc6y

Abstracts of Recent PhDs

2010 Knowledge engineering review (Print)  
An important goal of inductive learning is to generate accurate and compact classifiers from data.  ...  In a typical inductive learning scenario, instances in a data set are simply represented as ordered tuples of attribute  ...  First, abstraction is aimed at the design and analysis of algorithms that generate and deal with taxonomies for the construction of compact and robust classifiers.  ... 
doi:10.1017/s0269888910000226 fatcat:rbhe2vtt4vburdupv7cjioqg4y

Semantic Annotation of Ontology by Using Rough Concept Lattice Isomorphic Model

Hongsheng Xu, Ruiling Zhang, Chunjie Lin, Wenli Gan
2015 International Journal of Hybrid Information Technology  
Add semantic information in the traditional Web, the Web state from machine readable to machine understandable, is the basis for the realization of the semantic Web.  ...  The development of semantic annotation technology will promote the practical application of semantic Web. This paper presents research on semantic annotation based on ontology mapping and merge.  ...  International Journal of Hybrid Information Technology Vol. 8, No.2 (2015)  ... 
doi:10.14257/ijhit.2015.8.2.09 fatcat:vyoevxj5cnba7etewahbgvwecu

Learning to Integrate Web Taxonomies

Dell Zhang, Wee Sun Lee
2004 Social Science Research Network  
A straightforward approach to automating this process would be to build classifiers through machine learning and then use these classifiers to classify objects from the source taxonomies into categories  ...  Our experiments with real-world Web data show that these proposed add-on techniques can enhance various machine learning algorithms to achieve substantial improvements in performance for taxonomy integration  ...  RELATED WORK Most of the recent research efforts related to taxonomy integration are in the context of ontology mapping on Semantic Web.  ... 
doi:10.2139/ssrn.3199170 fatcat:bvvssera2fdqlntmgwespr62mq

Trend of Supervised Web Data Extraction

Galih Hendro, Azhari Azhari, Khabib Mustafa
2018 International Journal of Computer Applications  
Web data extraction aims to retrieve the contents of the website so that it can be easy to use for other purposes.  ...  Several previous surveys have overviewed the wrapper induction system using the concept of supervised techniques to extracted web data up to 2007.  ...  Kernel functions are very important in improving the performance of classifiers [55] . Future Works.  ... 
doi:10.5120/ijca2018916431 fatcat:es2tdmqcpnaxjcm3m75ei3g5by

ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification [chapter]

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
2009 Lecture Notes in Computer Science  
Experimentally we show that the performance of the resulting inductive classifier is comparable with the one of a standard reasoner and often more efficient than with other inductive approaches.  ...  In order to overcome the limitations of purely deductive approaches to the tasks of classification and retrieval from ontologies, inductive (instance-based) methods have been proposed as efficient and  ...  Lately, first steps have been taken to apply classic machine learning techniques for building inductive classifiers to the complex representation and semantics adopted in the context of the SW [7] , especially  ... 
doi:10.1007/978-3-642-02121-3_26 fatcat:66mh72nwbfantcke6rpkugq54q

A scalable approach for statistical learning in semantic graphs

Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger, Hans-Peter Kriegel
2014 Semantic Web Journal  
In this paper we apply machine learning to semantic graph data and argue that scalability and robustness can be achieved via an urn-based statistical sampling scheme.  ...  We argue that multivariate prediction approaches are most suitable for dealing with the resulting high-dimensional sparse data matrix.  ...  Acknowledgements We acknowledge funding by the German Federal Ministry of Economy and Technology (BMWi) under the THESEUS project and by the EU FP 7 Large-Scale Integrating Project LarKC.  ... 
doi:10.3233/sw-130100 fatcat:br2ezlftlvh6ncyjv7pauyxium

SEMANTIC IMAGE ANALYSIS USING A SYMBOLIC NEURAL ARCHITECTURE

Ilianna Kollia, Nikolaos Simou, Andreas Stafylopatis, Stefanos Kollias
2010 Image Analysis and Stereology  
In this paper, we examine interweaving of neural network classifiers and fuzzy description logics for the adaptation of a knowledge base for semantic image analysis.  ...  This knowledge is transferred to a kernel based connectionist system, which is then adapted to a specific application field through extraction and use of MPEG-7 image descriptors.  ...  Exploitation of these kernels permits inducing classifiers for individuals in Semantic Web (OWL) ontologies.  ... 
doi:10.5566/ias.v29.p159-172 fatcat:mlo2c6inhrbwthuxc2k35tqy24

Towards Machine Learning on the Semantic Web [chapter]

Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang
2008 Lecture Notes in Computer Science  
In this paper we explore some of the opportunities and challenges for machine learning on the Semantic Web.  ...  The Semantic Web provides standardized formats for the representation of both data and ontological background knowledge.  ...  We thank Frank Harmelen, and two anonymous reviewers for their valuable comments.  ... 
doi:10.1007/978-3-540-89765-1_17 fatcat:ixm5kgibajgmvohdfffo43cijm

Tenth international workshop on multimedia data mining

Valery A. Petrushin, Jia-Yu (Tim) Pan, Cees G.M. Snoek
2011 SIGKDD Explorations  
In this report we provide a summary of the tenth Multimedia Data Mining Workshop that was held in conjunction with the 16th ACM  ...  The authors propose a novel approach, based on grammar induction, for approximate variable-length time series motif discovery.  ...  The authors combined two approaches for retrieving events -"rough set theory" to extract multiple classification rules, each of which correctly identifies a subset of shots of the event, and "video ontology  ... 
doi:10.1145/1964897.1964909 fatcat:pmhjo25aorhslicey2ljgsyo3q

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text

Ghoniem, Alhelwa, Shaalan
2019 Algorithms  
Recently, ontologies have constituted a crucial part of modern semantic webs because they can convert a web of documents into a web of things.  ...  Ontologies are used to model knowledge in several domains of interest, such as the biomedical domain. Conceptualization is the basic task for ontology building.  ...  To deal with this challenge, the semantic web was invented as an extension of the ordinary web [2] . Ontology is a method for extending web syntactic interoperability to semantic interoperability.  ... 
doi:10.3390/a12090182 fatcat:o6f5jc7u6fabvor5akqflp7fe4
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