Building a New Semantic Social Network Using Semantic Web-Based Techniques

Autor: Ehab R. Mohamed, M Khlid

Publikováno v: Fusion: Practice and Applications. :54-65

Most people are more or less related to the web by participating in a kind of social networking site. Semantic Web technology plays a crucial role in these sites as they contain an enormous amount of data about ‎persons, pages, events, places, corp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e06553f9d79cc4e216af143d4cdbe81
https://doi.org/10.54216/fpa.030201

Identifying Localized Entrepreneurial Projects Through Semantic Social Network Analysis

Autor: Pasquale Napolitano, Maria Patrizia Vittoria

Publikováno v: New Metropolitan Perspectives. Knowledge Dynamics and Innovation-driven Policies Towards Urban and Regional Transition Volume 2, edited by Bevilacqua, Carmelina, Calabrò, Francesco, Della Spina, Lucia, pp. 12–21. Cham, Heidelberg, New York, Dordrecht, London: Springer, 2020
info:cnr-pdr/source/autori:Vittoria M.P., Napolitano P./titolo:Identifying Localized Entrepreneurial Projects Through Semantic Social Network Analysis/titolo_volume:New Metropolitan Perspectives. Knowledge Dynamics and Innovation-driven Policies Towards Urban and Regional Transition Volume 2/curatori_volume:Bevilacqua, Carmelina, Calabrò, Francesco, Della Spina, Lucia/editore: /anno:2020
New Metropolitan Perspectives ISBN: 9783030528683
New Metropolitan Perspectives-Knowledge Dynamics, Innovation-driven Policies Towards the Territories’ Attractiveness Volume 1
Smart Innovation, Systems and Technologies
Smart Innovation, Systems and Technologies-New Metropolitan Perspectives

We propose a novel set of social network analysis, firm level and communi-cation-based algorithms for mining the web to identify emerging entrepre-neurial projects. These algorithms are implemented in a hybrid theoretical framework and tested in an o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::717df7d4063a33e0c7f081b41ed8240c
http://www.cnr.it/prodotto/i/426133

Central Actor Identification of Crime Group using Semantic Social Network Analysis

Autor: Sylvert Prian Tahalea, Azhari Sn

Publikováno v: Indonesian Journal of Information Systems, Vol 2, Iss 1, Pp 24-32 (2019)

The Police as law enforcers who authorize in terms of social protection are expected to do both the prevention and investigation efforts also the settlement of criminal cases that occurred in the society. This research can help police to identify the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0520143e9e16fa5570bd402a571546ea
https://ojs.uajy.ac.id/index.php/IJIS/article/view/2354

Emerging social information networks applications and architectures

Autor: Thammada Srinivasa Rao, Patruni Muralidhara Rao, Dasari Siva Krishna

Social information architecture (SIA) is a part of information architecture, which deals with the social aspect of conceptualizing, modeling, and organizing information. Nowadays, SIA can be an elastic, growing network for the majority of social appl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19918b4e414cf4d24e4c190d6d253d87
https://doi.org/10.1016/b978-0-12-821599-9.00002-9

A tool for exploring networks of computer scientists as a graph

Autor: Mario Mezzanzanica, Mirko Cesarini, Fabio Mercorio, Antonio Picariello, Vincenzo Moscato

Publikováno v: SAC

In this paper we present GraphDBLP, a tool to query the DBLP bibliography as a graph. The DBLP source data were enriched with semantic similarity relationships computed using word-embeddings. A user can interact with the system either writing queries

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0fa91488ad7e3880e1068042b46f69b
https://doi.org/10.1145/3297280.3297501