{"title":"DBpedia ontology enrichment for inconsistency detection","authors":"G. Töpper, Magnus Knuth, Harald Sack","doi":"10.1145/2362499.2362505","DOIUrl":"https://doi.org/10.1145/2362499.2362505","url":null,"abstract":"In recent years the Web of Data experiences an extraordinary development: an increasing amount of Linked Data is available on the World Wide Web (WWW) and new use cases are emerging continually. However, the provided data is only valuable if it is accurate and without contradictions. One essential part of the Web of Data is DBpedia, which covers the structured data of Wikipedia. Due to its automatic extraction based on Wikipedia resources that have been created by various contributors, DBpedia data often is error-prone. In order to enable the detection of inconsistencies this work focuses on the enrichment of the DBpedia ontology by statistical methods. Taken the enriched ontology as a basis the process of the extraction of Wikipedia data is adapted, in a way that inconsistencies are detected during the extraction. The creation of suitable correction suggestions should encourage users to solve existing errors and thus create a knowledge base of higher quality.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic turkey goes SKOS managing knowledge organization systems","authors":"Manuel Fiorelli, M. Pazienza, A. Stellato","doi":"10.1145/2362499.2362509","DOIUrl":"https://doi.org/10.1145/2362499.2362509","url":null,"abstract":"In this paper we describe a novel SKOS editor built on top of the web browser Mozilla Firefox. Our tool is targeted towards KOS developers and KOS consumers as well. Indeed, the ability to surf the Web with a standards compliant browser proves useful for both: the former may prove the soundness of a concept by associating it with a concrete set of web resources, whereas the latter may exploit a given KOS to effectively organize information collected from the Web. The editor has been designed as an extension of the knowledge management and acquisition tool Semantic Turkey. The proposed SKOS editor creates a dedicated perspective within an OWL compliant environment, which eases dealing with KOSs. By relying on such rich environment, the editor allows the user to exploit the subtle relationship between SKOS and OWL, thus opening it up to more elaborated modelling solutions, in contrast to other tools which are built on top of the SKOS direct semantics.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating linked data into the content value chain: a review of news-related standards, methodologies and licensing requirements","authors":"Tassilo Pellegrini","doi":"10.1145/2362499.2362513","DOIUrl":"https://doi.org/10.1145/2362499.2362513","url":null,"abstract":"Only a few media companies have so far (as of April 2012) publicly declared engagement in the area of Linked Data. Nevertheless among the chosen few are BBC Online, the New York Times, The Guardian and Reuters who utilize Linked Data to add significant value to the news production process. This paper discusses achievements and challenges in utilizing semantic metadata in the news production process. It illustrates how Linked Data can be integrated into the content value chain and provide added value to content-related workflows without necessarily disrupting them. This is insofar critical as publishing companies react very sensitively to radical changes in their working settings and are often very suspicious of technologically induced innovations. Given the fact that from the perspective of media professionals Linked Data is a highly technology driven phenomenon that incrementally incorporates the culture, speech and logic of the engineering discipline, it is necessary to translate the benefits of Linked Data into the thinking and understanding of the publishing sector by illustrating the intersections between the traditional editorial content value chain and Linked Data as a complementary resource to innovate existing products and services.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126854785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LEAPS: realising the potential of algal biomass production through semantic web and linked data","authors":"M. Solanki, J. Skarka, C. Chapman","doi":"10.1145/2362499.2362516","DOIUrl":"https://doi.org/10.1145/2362499.2362516","url":null,"abstract":"Recently algal biomass has been identified as a potential source of large scale production of biofuels. Governments, environmental research councils and special interests groups are funding several efforts that investigate renewable energy production opportunities in this sector. However so far there has been no systematic study that analyses algal biomass potential especially in North-Western Europe. In this paper we present a spatial data integration and analysis framework whereby rich datasets from the algal biomass domain that include data about algal operation sites and CO2 source sites amongst others are semantically enriched with ontologies specifically designed for the domain and made available as linked data. We then present a conceptual architecture and a prototype implementation of a GeoWeb service that provides querying and analysing capabilities over the linked datasets.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127280041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Schaffert, Christoph Bauer, T. Kurz, Fabian Dorschel, Dietmar Glachs, Manuel Fernandez
{"title":"The linked media framework: integrating and interlinking enterprise media content and data","authors":"Sebastian Schaffert, Christoph Bauer, T. Kurz, Fabian Dorschel, Dietmar Glachs, Manuel Fernandez","doi":"10.1145/2362499.2362504","DOIUrl":"https://doi.org/10.1145/2362499.2362504","url":null,"abstract":"This article presents the Linked Media Framework (LMF), a platform for integrating and interlinking structured data and media content in enterprises and on the Web. The Linked Media Framework is based on the Linked Data principles, but extends these on two important aspects: resource-centric updating and uniform management of resource content and metadata. Both aspects are important for enterprise information integration but not implemented by current Linked Data servers. In addition, the LMF offers the query language LD Path, a path-based language that allows intuitive resource-centric querying and traversal over distributed Linked Data resources and is thus more suitable for querying Linked Data than SPARQL. Finally, we describe two real-world scenarios where the LMF is already used or will be used for interlinking and semantic search: interlinking of multimedia fragments at the Red Bull Content Pool, and interlinking of news archive material at the Austrian Television.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123759445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supporting tourism decision making with linked data","authors":"M. Sabou, Adrian M. P. Braşoveanu, Irem Arsal","doi":"10.1145/2362499.2362533","DOIUrl":"https://doi.org/10.1145/2362499.2362533","url":null,"abstract":"Decision makers in the tourism domain routinely need to combine and compare statistical indicators about tourism and other related areas (e.g., economic). While many organizations offer relevant data sets, their automatic access and reuse is hampered (i) by them being offered as data dumps in non-semantic encodings; (ii) by them assuming some implicit knowledge that is necessary to build applications (e.g., that a city is situated in a certain country) and (iii) by the use of incompatible ways to measure the same indicator without formally specifying the assumptions behind the measurement technique. We explore the use of linked data technologies to solve these issues by triplifying the content of TourMIS, a broadly used data source of European tourism statistics and by building a prototype system using this data.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scholarly publishing and linked data: describing roles, statuses, temporal and contextual extents","authors":"S. Peroni, D. Shotton, F. Vitali","doi":"10.1145/2362499.2362502","DOIUrl":"https://doi.org/10.1145/2362499.2362502","url":null,"abstract":"Recently, several ontologies have been introduced for semantic publishing. However, scholarly publishing, like other real-world domains, needs to be described also in terms of precise temporal durations and the particular contexts in which the relevant processes take place. For instance, a document changes status during its publication process, e.g., from \"draft\" to \"submitted\" to \"under review\" to \"accepted for publication\", and so on. Similarly, one's roles may change with time: one's affiliation with an academic institution or one's role as a journal editor are likely to change over time. Existing well-known ontologies used to describe individuals and bibliographic entities in the Linked Data are currently not able to model situations of temporary or context-dependent possession (e.g., the holding of a status or of a role). In this paper, we address this issue by introducing two ontologies for semantic publishing, the Publishing Roles Ontology and the Publishing Status Ontology, that define the roles of people and the statuses of documents in the scholarly publishing domain.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128320659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aggregated, interoperable and multi-domain user profiles for the social web","authors":"F. Orlandi, J. Breslin, Alexandre Passant","doi":"10.1145/2362499.2362506","DOIUrl":"https://doi.org/10.1145/2362499.2362506","url":null,"abstract":"User profiling techniques have mostly focused on retrieving and representing a user's knowledge, context and interests in order to provide recommendations, personalise search, and build user-adaptive systems. However, building a user profile on a single social network limits the quality and completeness of the profile, especially when interoperability of the profile is key and its reuse on different sites is necessary for providing other types of personalisation. Indeed recent studies have shown that users on the Social Web often use different social networking sites for diverse, and sometimes non-overlapping, purposes and interests. In this paper, we describe our methodology for the automatic creation and aggregation of interoperable and multi-domain user profiles of interests using semantic technologies. Moreover, we propose a user study on different user profiling techniques for social networking websites in general, and for Twitter and Facebook in particular. In this regard, based on the results of our user evaluation, we investigate (i) the accuracy of different methodologies for profiling, (ii) the effect of time decay functions on ranking user interests, and (iii) the benefits of merging different user models using semantic technologies.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122406332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
João Rodrigues Frade, Debora Di Giacomo, Stijn Goedertier, Nikos Loutas, Vassilios Peristeras
{"title":"Building semantic interoperability through the federation of semantic asset repositories","authors":"João Rodrigues Frade, Debora Di Giacomo, Stijn Goedertier, Nikos Loutas, Vassilios Peristeras","doi":"10.1145/2362499.2362528","DOIUrl":"https://doi.org/10.1145/2362499.2362528","url":null,"abstract":"According to the Interoperability Solutions for European Public Administrations (ISA) Programme of the European Commission, interoperability relates to the ability of disparate organisations to interact towards mutually beneficial and agreed goals, involving the sharing of information and knowledge [1]. Semantic assets and the agreements associated with them are essential elements for organisations to understand the meaning of the information they exchange - without them this information would be of little use. In this paper, semantic assets are defined as ontologies, data models, data dictionaries, code lists, XML and RDF schemas which are used for information exchange and that can be reused by implementers of Information Systems, in particular, as part of machine-to-machine interfaces. However, field research has shown that developers, practitioners and researchers working in the field of semantic interoperability in eGovernment tend to reinvent the wheel and semantic assets are rarely reused. In order to encourage and bootstrap the reuse of semantic assets in the EU and beyond, this paper introduces two important initiatives driven by the ISA Programme: the Asset Description Metadata Schema (ADMS) and the ADMS-enabled federation of semantic asset repositories on Joinup.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131096954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hélio Rodrigues de Oliveira, A. Tavares, B. Lóscio
{"title":"Feedback-based data set recommendation for building linked data applications","authors":"Hélio Rodrigues de Oliveira, A. Tavares, B. Lóscio","doi":"10.1145/2362499.2362507","DOIUrl":"https://doi.org/10.1145/2362499.2362507","url":null,"abstract":"The huge and growing volume of linked data is increasing the interest in developing applications on top of such data. One of the distinguishing features of linked data applications is that the data could come from any RDF data set available on the Web. Different from conventional applications, where the data sources are under control of the application's owner or developer, linked data applications follow the Semantic Web vision of a world full of reusable data. Considering a potentially large number of data sets, one of the primary challenges facing the development of such solutions is the identification of suitable data sources, i.e., data sets that could give a good contribution to the answer of user queries. In this paper, we discuss this problem and we present a feedback-based approach to incrementally identify new data sets for domain-specific linked data application.","PeriodicalId":275036,"journal":{"name":"International Conference on Semantic Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123493619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}