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Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering [chapter]

Jennifer Golbeck
2006 Lecture Notes in Computer Science  
We describe an algorithm for inferring trust relationships using provenance information and trust annotations in Semantic Web-based social networks.  ...  Social networks are a popular movement on the web. On the Semantic Web, it is simple to make trust annotations to social relationships.  ...  Acknowledgments This work, conducted at the Maryland Information and Network Dynamics Laboratory Semantic Web Agents Project, was funded by Fujitsu Laboratories of America -College Park, Lockheed Martin  ... 
doi:10.1007/11890850_12 fatcat:ivhthq3sxfa4lc6lwc7qnr6djm

Trust network-based filtering of aggregated claims

Jennifer Golbeck, Bijan Parsia
2006 International Journal of Metadata, Semantics and Ontologies  
This paper presents a method for using semantic web based trust networks to infer the reputation of sources for a statement and compose the reputation of several sources.  ...  To preserve the connection between assertions and their source, various provenance schemes for semantic web data have been explored.  ...  In this paper, we present a method for integrating semantic web based trust networks with provenance information to rate and filter a set of assertions.  ... 
doi:10.1504/ijmso.2006.008770 fatcat:swmd6sf3a5cjnkpoeiaz76rdsi

Report on the Models of Trust for the Web workshop (MTW'06)

Tim Finin, Lalana Kagal, Daniel Olmedilla
2006 SIGMOD record  
In "Using Trust and Provenance for Content Filtering on the Semantic Web", Jennifer Golbeck and Aaron Mannes showed that annotating relationships with binary trust values in web-based social networks allowed  ...  Session I : Trust Networks David Brondsema and Andrew Schamp described their work in using social trust networks to filter spam in "Konfidi: Trust Networks Using PGP and RDF".  ... 
doi:10.1145/1228268.1228282 fatcat:5i4b6xxyh5gsvc3jiymselx32e

Trust on the World Wide Web: A Survey

Jennifer Golbeck
2006 Foundations and Trends® in Web Science  
People are the final group, where we look at the role of trust in web-based social networks and algorithms for inferring trust relationships.  ...  Three main targets of trust are identified: content, services, and people. Trust in the content on the Web, including webpages, websites, and Semantic Web data is addressed first.  ...  Many thanks also to Wendy Hall and James Finlay for their comments and support.  ... 
doi:10.1561/1800000006 fatcat:ph2mahwmxbcxxgh3bb662g7ney

Provenance and social network analysis for recommender systems: a literature review

Korab Rrmoku, Besnik Selimi, Lule Ahmedi
2022 International Journal of Power Electronics and Drive Systems (IJPEDS)  
We have found that content-based filtering techniques, combined with term frequency-inverse document frequency (TF-IDF) features are the most feasible approaches when combined with provenance since our  ...  within a social network.  ...  The following are the main keywords that we used: recommender systems, social network analysis, provenance, trust, social networks, social media, semantic web, ontology.  ... 
doi:10.11591/ijece.v12i5.pp5383-5392 fatcat:ob5k6lygszefphhwkwrbkiab5y

Introducing Social Semantic Journalism

Bahareh Rahmanzadeh Heravi, Jarred McGinnis
2015 Journal of Media Innovations  
In the event of breaking news, a wealth of crowd-sourced data, in the form of text, video and image, becomes available on the Social Web.  ...  Semantic metadata, natural language processing (NLP) and other technologies will provide the framework for Social Semantic Journalism to help journalists navigate the overwhelming amount of UGC for detecting  ...  The application of the Semantic Web to the Social Web, termed the "Social Semantic Web", has the potential to create a network of interlinked and semantically enriched user generated knowledge base, bringing  ... 
doi:10.5617/jmi.v2i1.868 fatcat:yzazeoik75ga5ps2ygx7jfidmi

Using Trust and Provenance for Content Filtering on the Semantic Web

Jennifer Golbeck, Aaron Mannes
2006 Workshop on Models of Trust for the Web  
We describe an algorithm for inferring trust relationships using provenance information and trust annotations in Semantic Web-based social networks.  ...  Social networks are a popular movement on the web. Trust can be used effectively on the Semantic Web as annotations to social relationships.  ...  This work, conducted at the Maryland Information and Network Dynamics Laboratory Semantic Web Agents Project, was funded by Fujitsu Laboratories of America -College Park, Lockheed Martin Advanced Technology  ... 
dblp:conf/mtw/GolbeckM06 fatcat:ggtnccvk6fexlnp4o2sm7xsfai

A Survey of Trust in Computer Science and the Semantic Web

Donovan Artz, Yolanda Gil
2007 Social Science Research Network  
This paper gives an overview of existing trust research in computer science and the Semantic Web.  ...  Trust is an essential component of the vision for the Semantic Web, where both new problems and new applications of trust are being studied.  ...  Acknowledgements We would like to thank the anonymous reviewers for their valuable comments and feedback on this work.  ... 
doi:10.2139/ssrn.3199355 fatcat:tvwxeswjqvbcfco2bgkgr7imau

Assessing Content Value for Digital Publishing through Relevance and Provenance-Based Trust [chapter]

Tom De Nies
2013 Lecture Notes in Computer Science  
In this doctoral research, we investigate how to use Semantic Web technologies to automatically assess the value of content that is -or is about to be -digitally published.  ...  Due to the abundance of content on the Web, content authors and publishers have a pressing need for systems that select content that is valuable for them, is trustworthy and is related to their own work  ...  News sites, blogs, social media, and digital libraries are overflowing with content.  ... 
doi:10.1007/978-3-642-41338-4_27 fatcat:jmb26isfendejb3knoscpb7lfa

A survey of trust in computer science and the Semantic Web

Donovan Artz, Yolanda Gil
2007 Journal of Web Semantics  
This paper gives an overview of existing trust research in computer science and the Semantic Web.  ...  Trust is an essential component of the vision for the Semantic Web, where both new problems and new applications of trust are being studied.  ...  Acknowledgements We would like to thank the anonymous reviewers for their valuable comments and feedback on this work.  ... 
doi:10.1016/j.websem.2007.03.002 fatcat:35nvnm3hkvb63n7t2frlaucq3i

Filtering Mechanism for Unwanted Messages on OSN User Wall Using CBMF (Content Based Message Filtering)
IJARCCE - Computer and Communication Engineering

Aishwarya Kashyup, Himanshu Kothari, Ravina Kothari, Geetika Narang
2015 IJARCCE  
This system exploits machine learning based soft classifier for automatically labelling messages in support of content based filtering.  ...  In this era of internet, the Online Social Networks (OSNs) are the platform to build social relations among people who share interests, activities, backgrounds or real life connections.  ...  Golbeck, "Combining provenance with trust in social networks for semantic web content filtering," [11] , 2006, Social network is the common interest grouping web.  ... 
doi:10.17148/ijarcce.2015.42104 fatcat:g3fumfvqtff23d5gxlxvagfaw4

Structural Determination of Ontology-Driven Trust Networks in Semantic Social Institutions and Ecosystems

Nima Dokoohaki, Mihhail Matskin
2007 International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM'07)  
This paper investigates how effective design of trust ontologies can improve the structure of trust networks created and implemented within semantic web-driven social institutions and systems.  ...  In order to capture, model and represent the semantics of trust relationships forming the trust networks, main components of relationships are represented and described using ontologies.  ...  Brondsema and Schamp have created a system called Konfidi, a system that combines a trust network with the PGP web-of-trust.  ... 
doi:10.1109/ubicomm.2007.20 fatcat:luo3ykuigvhfjjbju5vo34swem

Security Aspects in Web of Data Based on Trust Principles. A brief of Literature Review

Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín, Diego Mauricio Cataño, Rubén González-Crespo
2022 International Journal of Communication Networks and Information Security  
Network Data, etc.  ...  scientific community, there is a certain consensus to define "Big Data" as a global set, through a complex integration that embraces several dimensions from using of research data, Open Data, Linked Data, Social  ...  In the same way, the subject matter is working as a line of Research Group GIIRA.  ... 
doi:10.17762/ijcnis.v11i3.4334 fatcat:cdsmfaqr6nca3njkvxawclsdua

Design of a Recommendation Model Considering Semantic Analysis

Umasankar Das, Girija Prasad Mohapatra, Vinay Kumar
2013 International Journal of Computer Applications  
The Social networking site is increasingly used as a channel for reaching end users.  ...  It collects data implicitly as well as explicitly and takes into consideration user activity, preferences, and ratings to evaluate weights for calculation of trust, social intimacy, popularity and semantic  ...  Participatory Media Content, A Synthetical approach for blog recommendation: Combining trust, social relation, and semantic analysis.  ... 
doi:10.5120/13362-0956 fatcat:2fcx2kjvzvbzvphfhluedz32su

Quality Reasoning in the Semantic Web [chapter]

Chris Baillie, Peter Edwards, Edoardo Pignotti
2012 Lecture Notes in Computer Science  
This paper discusses a quality assessment framework based on semantic web technologies and outlines a role for provenance in supporting and documenting such assessments.  ...  Assessing the quality of data published on the Web has been identified as an essential step in selecting reliable information for use in tasks such as decision making.  ...  Agent A could re-use Agent B's quality result because they are in the same social network and trust each other, or because Agent B's data requirement matches one of Agent A's.  ... 
doi:10.1007/978-3-642-35173-0_27 fatcat:uua7opsjyzcgndjrzklyip47kq
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