% This data is distributed under the terms of the Open Data Commons Attribution License (ODC-By) v1.0 - See more at: http://opendatacommons.org/licenses/by/1-0/
% Volume 1, Issue 1, 2014
    @Article{OJWT-v1i1n01_Furini,
        title     = {SIWeb: understanding the Interests of the Society through Web data Analysis},
        author    = {Marco Furini and
                     Simone Montangero},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {1--14},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705291334},
        urn       = {urn:nbn:de:101:1-201705291334},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The high availability of user-generated contents in the Web scenario represents a tremendous asset for understanding various social phenomena. Methods and commercial products that exploit the widespread use of the Web as a way of conveying personal opinions have been proposed, but a critical thinking is that these approaches may produce a partial, or distorted, understanding of the society, because most of them focus on definite scenarios, use specific platforms, base their analysis on the sole magnitude of data, or treat the different Web resources with the same importance. In this paper, we present SIWeb (Social Interests through Web Analysis), a novel mechanism designed to measure the interest the society has on a topic (e.g., a real world phenomenon, an event, a person, a thing). SIWeb is general purpose (it can be applied to any decision making process), cross platforms (it uses the entire Webspace, from social media to websites, from tags to reviews), and time effective (it measures the time correlatio between the Web resources). It uses fractal analysis to detect the temporal relations behind all the Web resources (e.g., Web pages, RSS, newsgroups, etc.) that talk about a topic and combines this number with the temporal relations to give an insight of the the interest the society has about a topic. The evaluation of the proposal shows that SIWeb might be helpful in decision making processes as it reflects the interests the society has on a specific topic.}
    }
    @Article{OJWT-v1i1n02_Belk,
        title     = {Integrating Human Factors and Semantic Mark-ups in Adaptive Interactive Systems},
        author    = {Marios Belk and
                     Panagiotis Germanakos and
                     Efi Papatheocharous and
                     Panayiotis Andreou and
                     George Samaras},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {15--26},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2017052611313},
        urn       = {urn:nbn:de:101:1-2017052611313},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper focuses on incorporating individual differences in cognitive processing and semantic mark-ups in the context of adaptive interactive systems. In particular, a semantic Web-based adaptation framework is proposed that enables Web content providers to enrich content and functionality of Web environments with semantic mark-ups. The Web content is created using a Web authoring tool and is further processed and reconstructed by an adaptation mechanism based on cognitive factors of users. Main aim of this work is to investigate the added value of personalising content and functionality of Web environments based on the unique cognitive characteristics of users. Accordingly, a user study has been conducted that entailed a psychometric-based survey for extracting the users' cognitive characteristics, combined with a real usage scenario of an existing commercial Web environment that was enriched with semantic mark-ups and personalised based on different adaptation effects. The paper provides interesting insights in the design and development of adaptive interactive systems based on cognitive factors and semantic mark-ups.}
    }