A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

Frikha, Mohamed; Mhiri, Mohamed; Gargouri, Faı̈ez

doi:10.14201/adcaij20154190106

Cited by 21 publications

(11 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The automatic semantic annotation of user‐generated content makes semantic‐based search, filtering, browsing, recommendation, and visual analytics possible. Based on the fact that ontologies can be used to define social relationships and interactions semantically, and that social networks can suggest a variety of recommendations according to the user needs, the paper has presented a semantic social recommender system via a user interest ontology and a Tunisian Medical Tourism (TMT) ontology 133 . It aims to improve traditional recommendation systems by collecting information in the social network and taking the user preferences and the influences from social friends into consideration.…”

Section: Semantic Analysis In Social Networkmentioning

confidence: 99%

Semantic analysis on social networks: A survey

Bayrakdar

Yücedağ

Şimşek

et al. 2020

Int J Communication

View full text Add to dashboard Cite

Summary As social networks are getting more and more popular day by day, large numbers of users becoming constantly active social network users. In this way, there is a huge amount of data produced by users in social networks. While social networking sites and dynamic applications of these sites are actively used by people, social network analysis is also receiving an increasing interest. Moreover, semantic understanding of text, image, and video shared in a social network has been a significant topic in the network analysis research. To the best of the author's knowledge, there has not been any comprehensive survey of social networks, including semantic analysis. In this survey, we have reviewed over 200 contributions in the field, most of which appeared in recent years. This paper not only aims to provide a comprehensive survey of the research and application of social network analysis based on semantic analysis but also summarizes the state‐of‐the‐art techniques for analyzing social media data. First of all, in this paper, social networks, basic concepts, and components related to social network analysis were examined. Second, semantic analysis methods for text, image, and video in social networks are explained, and various studies about these topics are examined in the literature. Then, the emerging approaches in social network analysis research, especially in semantic social network analysis, are discussed. Finally, the trending topics and applications for future directions of the research are emphasized; the information on what kind of studies may be realized in this area is given.

show abstract

Section: Semantic Analysis In Social Networkmentioning

confidence: 99%

Semantic analysis on social networks: A survey

Bayrakdar

Yücedağ

Şimşek

et al. 2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…These simulators could gain significant added value by sharing their knowledge and market models with other agent societies. Such tools would provide the means for an actual improvement in current EM studies and development [9,10]. To overcome this issue the Electricity Markets Ontology (EMO) has been proposed in [11].…”

Section: A U T H O R ' S V E R S I O Nmentioning

confidence: 99%

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

Santos

Pinto

Praça

et al. 2017

Progress in Artificial Intelligence

View full text Add to dashboard Cite

This paper proposes the use of ontologies to enable information and knowledge exchange, to test different electricity market models and to allow players from different systems to interact in common market environments. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as the complex and dynamic electricity markets. The main drivers are the markets' restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. An ontology to represent the concepts related to the Nord Pool Elspot market is proposed. It is validated through a case study considering the simulation of Elspot market. Results show that heterogeneous agents are able to effectively participate in the simulation by using the proposed ontologies to support their communications with the Nord Pool market operator.

show abstract

“…Ontologies define a common "language" that can be interpreted and understood by any software or software agent [13], allowing heterogeneous systems to coexist and collaborate [14].…”

Section: Introductionmentioning

confidence: 99%

Power Systems Simulation Using Ontologies to Enable the Interoperability of Multi-Agent Systems

Santos

Silva

Teixeira

et al. 2018

2018 Power Systems Computation Conference (PSCC)

View full text Add to dashboard Cite

A key challenge in the power and energy field is the development of decision-support systems that enable studying big problems as a whole. The interoperability between systems that address specific parts of the global problem is essential. Ontologies ease the interoperability between heterogeneous systems providing semantic meaning to the information exchanged between the various parties. The use of ontologies within Smart Grids has been proposed based on the Common Information Model, which defines a common vocabulary describing the basic components used in electricity transportation and distribution. However, these ontologies are focused on utilities needs. The development of ontologies that allow the representation of diverse knowledge sources is essential, aiming at supporting the interaction between entities of different natures, facilitating the interoperability between these systems. This paper proposes a set of ontologies to enable the interoperability between different types of simulators, namely regarding electricity markets,the smart grid, and residential energy management. A case study based on real data shows the advantages of the proposed approach in enabling comprehensive power system simulation studies.

show abstract

A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

Cited by 21 publications

References 38 publications

Semantic analysis on social networks: A survey

Semantic analysis on social networks: A survey

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

Power Systems Simulation Using Ontologies to Enable the Interoperability of Multi-Agent Systems

Contact Info

Product

Resources

About