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Decentralization: The future of online social networking
- In W3C Workshop on the Future of Social Networking Position Papers
, 2009
"... Social networking forms an important part of online activities of Web users. Web sites such as Facebook, MySpace and Orkut have millions of users using them everyday. However, these sites present two problems. Firstly, these sites form information silos. Information on one site is not usable in the ..."
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Cited by 36 (0 self)
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Social networking forms an important part of online activities of Web users. Web sites such as Facebook, MySpace and Orkut have millions of users using them everyday. However, these sites present two problems. Firstly, these sites form information silos. Information on one site is not usable in the others. Secondly such sites do not allow users much control over how their personal information is disseminated, which results in potential privacy problems.
Dipandla“ User Profile matching in social network
"... Abstract—Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrich-ment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Par ..."
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Abstract—Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrich-ment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) while using same or different email addresses. In this work, we address the problem of matching user profiles in its globality by providing a suitable matching framework able to consider all the profile’s attributes. Our frame-work allows users to give more importance to some attributes and assign each attribute a different similarity measure. The set of experiments conducted with our default/recommended attribute/similarity measures shows the superiority of our proposal in comparison with current ones. Index Terms—Social networks; Profile matching; FOAF; I.
Soaf –design and implementation of a service-enriched social network
- Web Engineering
, 2009
"... Abstract. In this paper, we propose the integration of services into social networks (SOAF- Service of a Friend) to leverage the creation of the Internet of Services vision. We show how to integrate services and humans into a common network structure and discuss design and implementation issues. In ..."
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Abstract. In this paper, we propose the integration of services into social networks (SOAF- Service of a Friend) to leverage the creation of the Internet of Services vision. We show how to integrate services and humans into a common network structure and discuss design and implementation issues. In particular, we discuss the required extensions to existing social network vocabulary with regard to services. We illustrate a scenario where this network structures can be applied in the context of service discovery and highlight the benefit of a service-enriched social network structure. 1
Discovering relationship types between users using profiles and
, 2012
"... shared photos in a social network ..."
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seek ‘fb.me’: Identifying Users across Multiple Online Social Networks
"... An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and ..."
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An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it. With no global identifier to mark her presence uniquely in the online domain, her online identities remain unlinked, isolated and difficult to search. Literature has proposed identity search methods on the basis of profile attributes, but has left the other identity dimensions e.g. content and network, unexplored. In this work, we introduce two novel identity search algorithms based on content and network attributes and improve on traditional identity search algorithm based on profile attributes of a user. We apply proposed identity search algorithms to find a user’s identity on Facebook, given her identity on Twitter. We report that a combination of proposed identity search algorithms found Facebook identity for 39 % of Twitter users searched while traditional method based on profile attributes found Facebook identity for only 27.4%. Each proposed identity search algorithm access publicly accessible attributes of a user on any social network. We deploy an identity resolution system, Finding Nemo, which uses proposed identity search methods to find a Twitter user’s identity on Facebook. We conclude that inclusion of more than one identity search algorithm, each exploiting distinct dimensional attributes of an identity, helps in improving the accuracy of an identity resolution process.
A.: Composing distributed systems: Overcoming the interoperability challenge
- In: HATS-FMCO International School
, 2012
"... Abstract. Software systems are increasingly composed of independently-developed components, which are often systems by their own. This com-position is possible only if the components are interoperable, i.e., are able to work together in order to achieve some user task(s). However, interoperability i ..."
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Abstract. Software systems are increasingly composed of independently-developed components, which are often systems by their own. This com-position is possible only if the components are interoperable, i.e., are able to work together in order to achieve some user task(s). However, interoperability is often hampered by the differences in the data types, communication protocols, and middleware technologies used by the com-ponents involved. In order to enable components to interoperate despite these differences, mediators that perform the necessary data translations and coordinate the components ’ behaviours appropriately, have been in-troduced. Still, interoperability remains a critical challenge for today’s and even more tomorrow’s distributed systems that are highly heteroge-neous and dynamic. This chapter introduces the fundamental principles and solutions underlaying interoperability in software systems with a spe-cial focus on protocols. First, we take a software architecture perspective and present the fundamentals for reasoning about interoperability and bring out mediators as a key solution to achieve protocol interoperability. Then, we review the solutions proposed for the implementation, synthe-sis, and dynamic deployment of mediators. We show how these solutions still fall short in automatically solving the interoperability problem in the context of systems of systems. This leads us to present the solution elaborated in the context of the European Connect project, which re-volves around the notion of emergent middleware, whereby mediators are synthesised on the fly. We consider the GMES (Global Monitoring of Environment and Security) initiative and use it to illustrate the different solutions presented.
RDF Ontology (Re-)Engineering through Large-scale Data Mining
"... Abstract. As Linked Open Data originates from various sources, lever-aging well-defined ontologies aids integration. However, oftentimes the utilization of RDF vocabularies by data publishers differs from the in-tended application envisioned by ontology engineers. Especially in large-scale datasets ..."
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Abstract. As Linked Open Data originates from various sources, lever-aging well-defined ontologies aids integration. However, oftentimes the utilization of RDF vocabularies by data publishers differs from the in-tended application envisioned by ontology engineers. Especially in large-scale datasets as presented in the Billion Triple Challenge a significant divergence between vocabulary specification and usage patterns can be observed. This may impede the goals of the Web of Data in terms of dis-covering domain-specific information in the Semantic Web. In this work, we identify common misusage patterns by employing frequency analysis and rule mining and propose reengineering suggestions. 1
DISCOVERING AND MANAGING SOCIAL COMPOSITIONS IN COLLABORATIVE ENTERPRISE CROWDSOURCING SYSTEMS
, 2013
"... Crowdsourcing is an increasingly used model to outsource certain tasks to be carried out by external experts on the Web. Especially when lacking experience or expertise with certain task types, crowdsourcing offers a convenient way to receive instant support. In this paper, we introduce an in-house ..."
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Crowdsourcing is an increasingly used model to outsource certain tasks to be carried out by external experts on the Web. Especially when lacking experience or expertise with certain task types, crowdsourcing offers a convenient way to receive instant support. In this paper, we introduce an in-house enterprise crowdsourcing model, which leverages the crowdsourcing concept and transfers it to traditional organizations. Here, a company’s staff is considered a crowd that — besides its regularly assigned tasks — can also receive tasks from colleagues from other departments and across hierarchical structures. The aim is to offer instant support and utilize free capacities throughout a large organization more efficiently. In our work, we describe this concept and supporting mechanisms in context of an agile software development use case. However, in contrast to usually crowdsourced microtasks, complex software architectures usually consist of tens and hundreds of connected modules that can be potentially crowdsourced. These technical dependencies between modules require active coordination and interactions between crowd members that process the single artifacts. Hence, technical dependencies of artifacts result in social dependencies of collaborating crowd members that create them.
Trust on the web: Some web science research challenges
- UoC Papers: E-Journal on the Knowledge Society
, 2008
"... Abstract: Web Science is the interdisciplinary study of the World Wide Web as a first-order object in order to understand its relationship with the wider societies in which it is embedded, and in order to facilitate its future engineering as a beneficial object. In this paper, research issues and ch ..."
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Abstract: Web Science is the interdisciplinary study of the World Wide Web as a first-order object in order to understand its relationship with the wider societies in which it is embedded, and in order to facilitate its future engineering as a beneficial object. In this paper, research issues and challenges relating to the vital topic of trust are reviewed, showing how the Web Science agenda requires trust to be addressed, and how addressing the challenges requires a range of disciplinary skills applied in an integrated manner.
Available online:http://internationaljournalofresearch.org / P a g e | 321 A Semantic-Based Friend Reference System for Social Networks
"... Remarkable accomplishment of rising Web 2.0, and different casual group (interpersonal organization) Sites, for instance, Amazon and movie lens, recommender systems are making striking opportunities to help people checking the web when hunting down apropos information, and settling on choices. Overa ..."
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Remarkable accomplishment of rising Web 2.0, and different casual group (interpersonal organization) Sites, for instance, Amazon and movie lens, recommender systems are making striking opportunities to help people checking the web when hunting down apropos information, and settling on choices. Overall, these recommender systems are orchestrated in three characterizations: substance based, shared differentiating, and cross breed based proposal structures. Generally speaking, these systems use standard recommendation schedules, for instance, fake neural systems, closest neighbor, or Bayesian frameworks. In any case, these philosophies are obliged diverged from frameworks concentrated around web applications, for instance, casual groups or semantic web. In this paper, we propose a novel philosophy for recommendation systems called semantic social proposition structures that enhance the evaluation of casual groups (informal organization) mishandling the power of semantic interpersonal association examination. Explores genuine data from Amazon take a gander at the way of our proposal framework and furthermore the execution of our proposal computation.
