% 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 2, Issue 1, 2015
    @Article{OJWT_2015v2i1n01e_Groppe,
        title     = {Semantic and Web: The Web Part},
        author    = {Sven Groppe and
                     Paulo Rupino da Cunha},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {1--3},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194864},
        urn       = {urn:nbn:de:101:1-201705194864},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {One major aim of the Semantic Web is to enable a machine-processable Web of data. Hence, the Semantic Web community regards it as extension of the traditional web. On the other hand, the applications of the Semantic Web rely deeply on web technologies in order to work in a distributed fashion, world-wide. The goal of this special issue is to bring together contributions from these communities to address the challenges in Semantic Web and Web technologies in cooperation. The papers included in this special issue demonstrate how new technologies of the Web and Semantic Web complement each other and provide more contributions to the area of web technologies. The semantic part of this special issue, which contains substantial theoretical and empirical contributions to Semantic Web, is published in Open Journal of Semantic Web (OJSW).}
    }
    @Article{OJWT_2015v2i1n02_Nwohir,
        title     = {Why Is This Link Here? Identifying Academic Web Interlinking Motivations in Nigerian Universities},
        author    = {Anthony Nwohiri},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {4--15},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705291363},
        urn       = {urn:nbn:de:101:1-201705291363},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper investigates the university websites of Nigeria, Africa's most populous nation. Its aim is to identify motivations why authors embed outbound hyperlinks on these websites. A classification scheme for academic web interlinking motivations was applied to over 5,000 hyperlinks pointing from the websites of 107 Nigerian universities. Classifying the motivations based on studying the source and target pages is a big challenge, especially due to the following three reasons: there could be many possible reasons available; guessing the true intentions of link creators could be a difficult task; multiple link creation motivations could exist. The pioneer application of Pearson's chi-square test of independence offers a better picture of motivations. The chi-square test identifies the significant differences in interlinking motivations, which are peculiar to Nigerian universities of a particular category (federal, state and private universities). The study is a stepping stone toward further research on feasibility of findings in other developing countries. Results obtained from this research will be of great use for academic webpage developers and web authors, and will modify their work towards improving the use of hyperlinks as one of the major communication tools on the Web.}
    }
    @Article{OJWT_2015v2i1n03_Kawahara,
        title     = {Detecting Vital Documents in Massive Data Streams},
        author    = {Shun Kawahara and
                     Kazuhiro Seki and
                     Kuniaki Uehara},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {16--26},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705291373},
        urn       = {urn:nbn:de:101:1-201705291373},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Existing knowledge bases, includingWikipedia, are typically written and maintained by a group of voluntary editors. Meanwhile, numerous web documents are being published partly due to the popularization of online news and social media. Some of the web documents, called "vital documents", contain novel information that should be taken into account in updating articles of the knowledge bases. However, it is practically impossible for the editors to manually monitor all the relevant web documents. Consequently, there is a considerable time lag between an edit to knowledge base and the publication dates of such vital documents. This paper proposes a realtime detection framework of web documents containing novel information flowing in massive document streams. The framework consists of twostep filter using statistical language models. Further, the framework is implemented on the distributed and faulttolerant realtime computation system, Apache Storm, in order to process the large number of web documents. On a publicly available web document data set, the TREC KBA Stream Corpus, the validity of the proposed framework is demonstrated in terms of the detection performance and processing time.}
    }
    @Article{OJWT_2015v2i1n04_Majchrzak,
        title     = {Context-Dependent Testing of Applications for Mobile Devices},
        author    = {Tim A. Majchrzak and
                     Matthias Schulte},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {27--39},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705291390},
        urn       = {urn:nbn:de:101:1-201705291390},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Applications propel the versatility of mobile devices. Apps enable the realization of new ideas and greatly contribute to the proliferation of mobile computing. Unfortunately, software quality of apps often is low. This at least partly can be attributed to problems with testing them. However, it is not a lack of techniques or tools that make app testing cumbersome. Rather, frequent context changes have to be dealt with. Mobile devices most notably move: network parameters such as latency and usable bandwidth change, along with data read from sensors such as GPS coordinates. Additionally, usage patterns vary. To address context changes in testing, we propose a novel concept. It is based on identifying blocks of code between which context changes are possible. It helps to greatly reduce complexity. Besides introducing our concept, we present a use case, show its application and benefits, and discuss challenges.}
    }