% 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/
% All issues of Volume 5
% Volume 5, Issue 1, 2018(In Progress)
    @Article{OJWT_2018v5i1n01e_WDRAR2018,
        title     = {The First International Workshop on Web Data Processing \& Reasoning (WDPAR 2018)},
        author    = {Sven Groppe and
                     Christophe Cruz},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {1--5},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018110508370722588082},
        urn       = {urn:nbn:de:101:1-2018110508370722588082},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The first Web Data Processing \& Reasoning (WDPAR) workshop in conjunction with the 41st German Conference on Artificial Intelligence (KI) taking place in Berlin, Germany in 2018 is a forum for all researchers especially interested in processing of and reasoning on web data. The proceedings of WDPAR@KI 2018 are published in the Open Journal of Web Technologies (OJWT) (www.ronpub.com/ojwt) as special issue and the publisher of OJWT is RonPub. This editorial provides an overview over the aims and scope of the workshop and the review procedure. Furthermore, we introduce the accepted papers and their topics in the editorial.}
    }
    @Article{OJWT_2018v5i1n02_Thomassen,
        title     = {Hijacking DNS Subdomains via Subzone Registration: A Case for Signed Zones},
        author    = {Peter Thomassen and
                     Jan Benninger and
                     Marian Margraf},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {6--13},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019300979542360},
        urn       = {urn:nbn:de:101:1-2018093019300979542360},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {We investigate how the widespread absence of signatures in DNS (Domain Name System) delegations, in combination with a common misunderstanding with regards to the DNS specification, has led to insecure deployments of authoritative DNS servers which allow for hijacking of subdomains without the domain owner's consent. This, in turn, enables the attacker to perform effective man-in-the-middle attacks on the victim's online services, including TLS (Transport Layer Security) secured connections, without having to touch the victim's DNS zone or leaving a trace on the machine providing the compromised service, such as the web or mail server. Following the practice of responsible disclosure, we present examples of such insecure deployments and suggest remedies for the problem. Most prominently, DNSSEC (Domain Name System Security Extensions) can be used to turn the problem from an integrity breach into a denial-of-service issue, while more thorough user management resolves the issue completely.}
    }
    @Article{OJWT_2018v5i1n03_Groppe,
        title     = {Anonymous Shopping in the Internet by Separation of Data},
        author    = {Sven Groppe and
                     Felix Kuhr and
                     Mehmet Atilla Coskun},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {14--22},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019301629565937},
        urn       = {urn:nbn:de:101:1-2018093019301629565937},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Whenever clients shop in the Internet, they provide identifying data of themselves to parties like the webshop, shipper and payment system. These identifying data merged with their shopping history might be misused for targeted advertisement up to possible manipulations of the clients. The data also contains credit card or bank account numbers, which may be used for unauthorized money transactions by the involved parties or by criminals hacking the parties' computing infrastructure. In order to minimize these risks, we propose an approach for anonymous shopping by separation of data. We argue for the feasibility of our approach by discussing important operations like simple reclamation cases and criminal investigations.}
    }
    @Article{OJWT_2018v5i1n04_Cruz,
        title     = {Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers},
        author    = {Christophe Cruz and
                     Cyril Nguyen Van and
                     Laurent Gautier},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {23--30},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019302313586232},
        urn       = {urn:nbn:de:101:1-2018093019302313586232},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This vision paper proposes an approach to use the most advanced word embeddings techniques to bridge the gap between the discourses of experts and non-experts and more specifically the terminologies used by the twocommunities. Word embeddings makes it possible to find equivalent terms between experts and non-experts, byapproach the similarity between words or by revealing hidden semantic relations. Thus, these controlledvocabularies with these new semantic enrichments are exploited in a hybrid recommendation system incorporating content-based ontology and keyword-based ontology to obtain relevant wines recommendations regardless of the level of expertise of the end user. The major aim is to find a non-expert vocabulary from semantic rules to enrich the knowledge of the ontology and improve the indexing of the items (i.e. wine) and the recommendation process.}
    }
    @Article{OJWT_2018v5i1n05_Blazquez,
        title     = {Consuming Web Data in a Guiding App for Public Bus Users},
        author    = {Miguel \'{A}ngel Garrido Bl\'{a}zquez and
                     Paloma C\'{a}ceres and
                     Bel\'{e}n Vela and
                     Carlos E. Cuesta and
                     Jos\'{e} Mar\'{i}a Cavero Barca and
                     Almudena Sierra-Alonso},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {31--43},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019302970779034},
        urn       = {urn:nbn:de:101:1-2018093019302970779034},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The complexity of urban public bus networks in big cities makes their use very difficult. This paper presents Notify.me, a set of pervasive services for mobility that employs open data from the public bus network in Madrid. Our solution provides both a guiding service to assist users travelling by bus and a notifying service (visual, acoustical and sensorial) that informs them when a relevant point on their route has been reached (transfer or destination). Notify.me needs a starting point, which can be the user's current location, a destination and the preferences regarding the best route for the user. Notify.me requests a route from the Madrid public bus company via SOAP Web services. The back-end responds with the calculated route, the user's route, which includes the bus lines, the transfers and the pedestrian routes needed to reach the destination. Finally, an empirical evaluation of the experiences of users who employed Notify.me is presented.}
    }
    @Article{OJWT_2018v5i1n06_Babayigit,
        title     = {Webpage Ranking Analysis of Various Search Engines with Special Focus on Country-Specific Search},
        author    = {Sinan Babayigit and
                     Sven Groppe},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {44--64},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019303617104000},
        urn       = {urn:nbn:de:101:1-2018093019303617104000},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {In order to attract many visitors to their own website, it is extremely important for website developers that their webpage is one of the best ranked webpages of search engines. As a rule, search engine operators do not disclose their exact ranking algorithm, so that website developers usually have only vague ideas about which measures have particularly positive influences on the webpage ranking. Conversely, we ask the question: "What are the properties of the best ranked webpages?" For this purpose, we perform a detailed analysis, in which we compare the properties of the best ranked webpages with the worse ranked webpages. Furthermore, we compare countryspecific differences.}
    }