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  • × theme_ss:"Semantic Web"
  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2010 TO 2020}
  1. Ehlen, D.: Semantic Wiki : Konzeption eines Semantic MediaWiki für das Reallexikon zur Deutschen Kunstgeschichte (2010) 0.02 
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    Abstract
    Wikis sind ein geeignetes Mittel zur Umsetzung von umfangreichen Wissenssammlungen wie Lexika oder Enzyklopädien. Bestes Beispiel dafür bildet die weltweit erfolgreiche freie On-line-Enzyklopadie Wikipedia. Jedoch ist es mit konventionellen Wiki-Umgebungen nicht moglich das Potential der gespeicherten Texte vollends auszuschopfen. Eine neue Möglichkeit bieten semantische Wikis, deren Inhalte mithilfe von maschinenlesbaren Annotationen semantische Bezüge erhalten. Die hier vorliegende Bachelorarbeit greift dies auf und überführt Teile des "Reallexikons zur deutschen Kunstgeschichte" in ein semantisches Wiki. Aufgrund einer Semantic MediaWiki-Installation soll uberpruft werden, inwieweit die neue Technik fur die Erschließung des Lexikons genutzt werden kann. Mit einem Beispiel-Wiki für das RdK auf beigefügter CD.
    Content
    Bachelorarbeit im Studiengang Bibliothekswesen
    Imprint
    Köln : Fachhochschule / Fakultät für Informations- und Kommunikationswissenschaften
  2. Meyer, A.: Begriffsrelationen im Kategoriensystem der Wikipedia : Entwicklung eines Relationeninventars zur kollaborativen Anwendung (2010) 0.01 
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    Abstract
    Neben den bekannten Hyperlinks in Artikeltexten verfügt die Online-Enzyklopädie Wikipedia mit ihrem Kategoriensystem über ein weiteres Mittel zur Herstellung von Relationen zwischen Artikeln. Jeder Artikel ist einer oder mehreren Kategorien zugeordnet, die ihrerseits anderen Kategorien zugeordnet sind. Auf diese Weise entsteht eine systematische Ordnung von Artikeln und Kategorien. Betrachtet man nur die Artikel- und Kategoriennamen sowie diese Relationen, so stellt das Kategoriensystem ein gemeinschaftlich erstelltes Begriffssystem dar, das sämtliche von der Wikipedia abgedeckten Themenbereiche umfasst, jedoch - technisch betrachtet - ausschließlich hierarchische Relationen enthält. Aufgrund des Fehlens eines differenzierten Regelwerks zur Kategorisierung ist das Kategoriensystem derzeit jedoch inkonsistent, daneben sind, bedingt durch das Vorhandensein lediglich eines Relationstyps, viele Relationen wenig aussagekräftig. Dennoch besteht das Potenzial zur Schaffung eines stark und differenziert relationierten Begriffssystems aus dem bestehenden Kategoriensystem heraus. Die vorliegende Arbeit diskutiert die Anwendungsmöglichkeiten eines solchen Begriffssystems und die Option seiner gemeinschaftlichen Entwicklung aus dem bestehenden Vokabular des Kategoriensystems, mithin also der gemeinschaftlichen Relationierung von Begriffen anhand eines differenzierten Relationeninventars. Ausgehend von den Kategorien "Theater" und "Jagd" der deutschsprachigen Wikipedia wird ein hierarchisch strukturiertes Relationeninventar definiert, das sowohl spezifische als auch allgemeine Relationstypen enthält und damit die Möglichkeit zur Übertragung auf andere Gegenstandsbereiche bietet. Sämtliche Artikel- und Kategoriennamen, die unterhalb jener Kategorien erscheinen, werden unter Verwendung der neu entwickelten Relationstypen als Deskriptoren relationiert.
    Content
    Bachelorarbeit im Studiengang Bibliothekswesen
    Imprint
    Köln : Fachhochschule / Fakultät für Informations- und Kommunikationswissenschaften
  3. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.01 
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    Footnote
    Rez. in: iwp 62(2011) H.4, S.205-206 (C. Carstens): "Welche Arten der Wissensrepräsentation existieren im Web, wie ausgeprägt sind semantische Strukturen in diesem Kontext, und wie können soziale Aktivitäten im Sinne des Web 2.0 zur Strukturierung von Wissen im Web beitragen? Diesen Fragen widmet sich Wellers Buch mit dem Titel Knowledge Representation in the Social Semantic Web. Der Begriff Social Semantic Web spielt einerseits auf die semantische Strukturierung von Daten im Sinne des Semantic Web an und deutet andererseits auf die zunehmend kollaborative Inhaltserstellung im Social Web hin. Weller greift die Entwicklungen in diesen beiden Bereichen auf und beleuchtet die Möglichkeiten und Herausforderungen, die aus der Kombination der Aktivitäten im Semantic Web und im Social Web entstehen. Der Fokus des Buches liegt dabei primär auf den konzeptuellen Herausforderungen, die sich in diesem Kontext ergeben. So strebt die originäre Vision des Semantic Web die Annotation aller Webinhalte mit ausdrucksstarken, hochformalisierten Ontologien an. Im Social Web hingegen werden große Mengen an Daten von Nutzern erstellt, die häufig mithilfe von unkontrollierten Tags in Folksonomies annotiert werden. Weller sieht in derartigen kollaborativ erstellten Inhalten und Annotationen großes Potenzial für die semantische Indexierung, eine wichtige Voraussetzung für das Retrieval im Web. Das Hauptinteresse des Buches besteht daher darin, eine Brücke zwischen den Wissensrepräsentations-Methoden im Social Web und im Semantic Web zu schlagen. Um dieser Fragestellung nachzugehen, gliedert sich das Buch in drei Teile. . . .
    Insgesamt besticht das Buch insbesondere durch seine breite Sichtweise, die Aktualität und die Fülle an Referenzen. Es ist somit sowohl als Überblickswerk geeignet, das umfassend über aktuelle Entwicklungen und Trends der Wissensrepräsentation im Semantic und Social Web informiert, als auch als Lektüre für Experten, für die es vor allem als kontextualisierte und sehr aktuelle Sammlung von Referenzen eine wertvolle Ressource darstellt." Weitere Rez. in: Journal of Documentation. 67(2011), no.5, S.896-899 (P. Rafferty)
    LCSH
    Knowledge representation (Information theory)
    Series
    Knowledge and information; vol.3
    Subject
    Knowledge representation (Information theory)
  4. Weller, K.: Anforderungen an die Wissensrepräsentation im Social Semantic Web (2010) 0.01 
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    Abstract
    Dieser Artikel gibt einen Einblick in die aktuelle Verschmelzung von Web 2.0-und Semantic Web-Ansätzen, die als Social Semantic Web beschrieben werden kann. Die Grundidee des Social Semantic Web wird beschrieben und einzelne erste Anwendungsbeispiele vorgestellt. Ein wesentlicher Schwerpunkt dieser Entwicklung besteht in der Umsetzung neuer Methoden und Herangehensweisen im Bereich der Wissensrepräsentation. Dieser Artikel stellt vier Schwerpunkte vor, in denen sich die Wissensrepräsentationsmethoden im Social Semantic Web weiterentwickeln müssen und geht dabei jeweils auf den aktuellen Stand ein.
    Series
    Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis ; Bd. 14) (DGI-Konferenz ; 1
    Source
    Semantic web & linked data: Elemente zukünftiger Informationsinfrastrukturen ; 1. DGI-Konferenz ; 62. Jahrestagung der DGI ; Frankfurt am Main, 7. - 9. Oktober 2010 ; Proceedings / Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis. Hrsg.: M. Ockenfeld
  5. Semantische Technologien : Grundlagen - Konzepte - Anwendungen (2012) 0.01 
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    Abstract
    Dieses Lehrbuch bietet eine umfassende Einführung in Grundlagen, Potentiale und Anwendungen Semantischer Technologien. Es richtet sich an Studierende der Informatik und angrenzender Fächer sowie an Entwickler, die Semantische Technologien am Arbeitsplatz oder in verteilten Applikationen nutzen möchten. Mit seiner an praktischen Beispielen orientierten Darstellung gibt es aber auch Anwendern und Entscheidern in Unternehmen einen breiten Überblick über Nutzen und Möglichkeiten dieser Technologie. Semantische Technologien versetzen Computer in die Lage, Informationen nicht nur zu speichern und wieder zu finden, sondern sie ihrer Bedeutung entsprechend auszuwerten, zu verbinden, zu Neuem zu verknüpfen, und so flexibel und zielgerichtet nützliche Leistungen zu erbringen. Das vorliegende Buch stellt im ersten Teil die als Semantische Technologien bezeichneten Techniken, Sprachen und Repräsentationsformalismen vor. Diese Elemente erlauben es, das in Informationen enthaltene Wissen formal und damit für den Computer verarbeitbar zu beschreiben, Konzepte und Beziehungen darzustellen und schließlich Inhalte zu erfragen, zu erschließen und in Netzen zugänglich zu machen. Der zweite Teil beschreibt, wie mit Semantischen Technologien elementare Funktionen und umfassende Dienste der Informations- und Wissensverarbeitung realisiert werden können. Hierzu gehören etwa die Annotation und das Erschließen von Information, die Suche in den resultierenden Strukturen, das Erklären von Bedeutungszusammenhängen sowie die Integration einzelner Komponenten in komplexe Ablaufprozesse und Anwendungslösungen. Der dritte Teil beschreibt schließlich vielfältige Anwendungsbeispiele in unterschiedlichen Bereichen und illustriert so Mehrwert, Potenzial und Grenzen von Semantischen Technologien. Die dargestellten Systeme reichen von Werkzeugen für persönliches, individuelles Informationsmanagement über Unterstützungsfunktionen für Gruppen bis hin zu neuen Ansätzen im Internet der Dinge und Dienste, einschließlich der Integration verschiedener Medien und Anwendungen von Medizin bis Musik.
    Content
    Inhalt: 1. Einleitung (A. Dengel, A. Bernardi) 2. Wissensrepräsentation (A. Dengel, A. Bernardi, L. van Elst) 3. Semantische Netze, Thesauri und Topic Maps (O. Rostanin, G. Weber) 4. Das Ressource Description Framework (T. Roth-Berghofer) 5. Ontologien und Ontologie-Abgleich in verteilten Informationssystemen (L. van Elst) 6. Anfragesprachen und Reasoning (M. Sintek) 7. Linked Open Data, Semantic Web Datensätze (G.A. Grimnes, O. Hartig, M. Kiesel, M. Liwicki) 8. Semantik in der Informationsextraktion (B. Adrian, B. Endres-Niggemeyer) 9. Semantische Suche (K. Schumacher, B. Forcher, T. Tran) 10. Erklärungsfähigkeit semantischer Systeme (B. Forcher, T. Roth-Berghofer, S. Agne) 11. Semantische Webservices zur Steuerung von Prooduktionsprozessen (M. Loskyll, J. Schlick, S. Hodeck, L. Ollinger, C. Maxeiner) 12. Wissensarbeit am Desktop (S. Schwarz, H. Maus, M. Kiesel, L. Sauermann) 13. Semantische Suche für medizinische Bilder (MEDICO) (M. Möller, M. Sintek) 14. Semantische Musikempfehlungen (S. Baumann, A. Passant) 15. Optimierung von Instandhaltungsprozessen durch Semantische Technologien (P. Stephan, M. Loskyll, C. Stahl, J. Schlick)
    Footnote
    Auch als digitale Ausgabe verfügbar. Auf S. 5 befindet sich der Satz: "Wissen ist Information, die in Aktion umgesetzt wird".
    RSWK
    Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
    Subject
    Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
  6. Prud'hommeaux, E.; Gayo, E.: RDF ventures to boldly meet your most pedestrian needs (2015) 0.00 
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    Source
    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.18-22
  7. Finke, M.; Risch, J.: "Match Me If You Can" : Sammeln und semantisches Aufbereiten von Fußballdaten (2017) 0.00 
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    Abstract
    Interviews, Spielstatistiken oder Videoaufzeichnungen sind für Fußballfans zwar zahlreich im Internet verfügbar, aber auf viele verschiedene Websites verstreut. "Semantic Media Mining" verknüpft nun Fußballdaten aus unterschiedlichen Quellen, bereitet sie semantisch auf und führt sie auf einer einzigen Website zusammen. Dadurch dokumentieren und visualisieren wir mehr als 50 Jahre Fußballgeschichte mit über 500 Mannschaften und 40.000 Spielern der Champions League, sowie der 1. und 2. Bundesliga.
  8. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.00 
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    Abstract
    Purpose - Ontologies are prone to wide semantic variability due to subjective points of view of their composers. The purpose of this paper is to propose a new approach for maximal unification of diverse ontologies for controversial domains by their relations. Design/methodology/approach - Effective matching or unification of multiple ontologies for a specific domain is crucial for the success of many semantic web applications, such as semantic information retrieval and organization, document tagging, summarization and search. To this end, numerous automatic and semi-automatic techniques were proposed in the past decade that attempt to identify similar entities, mostly classes, in diverse ontologies for similar domains. Apparently, matching individual entities cannot result in full integration of ontologies' semantics without matching their inter-relations with all other-related classes (and instances). However, semantic matching of ontological relations still constitutes a major research challenge. Therefore, in this paper the authors propose a new paradigm for assessment of maximal possible matching and unification of ontological relations. To this end, several unification rules for ontological relations were devised based on ontological reference rules, and lexical and textual entailment. These rules were semi-automatically implemented to extend a given ontology with semantically matching relations from another ontology for a similar domain. Then, the ontologies were unified through these similar pairs of relations. The authors observe that these rules can be also facilitated to reveal the contradictory relations in different ontologies. Findings - To assess the feasibility of the approach two experiments were conducted with different sets of multiple personal ontologies on controversial domains constructed by trained subjects. The results for about 50 distinct ontology pairs demonstrate a good potential of the methodology for increasing inter-ontology agreement. Furthermore, the authors show that the presented methodology can lead to a complete unification of multiple semantically heterogeneous ontologies. Research limitations/implications - This is a conceptual study that presents a new approach for semantic unification of ontologies by a devised set of rules along with the initial experimental evidence of its feasibility and effectiveness. However, this methodology has to be fully automatically implemented and tested on a larger dataset in future research. Practical implications - This result has implication for semantic search, since a richer ontology, comprised of multiple aspects and viewpoints of the domain of knowledge, enhances discoverability and improves search results. Originality/value - To the best of the knowledge, this is the first study to examine and assess the maximal level of semantic relation-based ontology unification.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.494-518
  9. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.00 
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    Date
    26.12.2011 13:40:22
  10. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00 
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    Date
    16.11.2018 14:22:01
  11. Semantic applications (2018) 0.00 
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    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
    RSWK
    Information Retrieval
    Subject
    Information Retrieval
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
  12. Zhang, L.: Linking information through function (2014) 0.00 
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    Abstract
    How information resources can be meaningfully related has been addressed in contexts from bibliographic entries to hyperlinks and, more recently, linked data. The genre structure and relationships among genre structure constituents shed new light on organizing information by purpose or function. This study examines the relationships among a set of functional units previously constructed in a taxonomy, each of which is a chunk of information embedded in a document and is distinct in terms of its communicative function. Through a card-sort study, relationships among functional units were identified with regard to their occurrence and function. The findings suggest that a group of functional units can be identified, collocated, and navigated by particular relationships. Understanding how functional units are related to each other is significant in linking information pieces in documents to support finding, aggregating, and navigating information in a distributed information environment.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2293-2305
  13. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.00 
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    Abstract
    In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
    Source
    Information Systems. 37(2012) no. 4, S.294-305
  14. Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012) 0.00 
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    Abstract
    A new model is proposed to retrieve information by building automatically a semantic metatext structure for texts that allow searching and extracting discourse and semantic information according to certain linguistic categorizations. This paper presents approaches for searching and mining full text with semantic categories. The model is built up from two engines: The first one, called EXCOM (Djioua et al., 2006; Alrahabi, 2010), is an automatic system for text annotation, related to discourse and semantic maps, which are specification of general linguistic ontologies founded on the Applicative and Cognitive Grammar. The annotation layer uses a linguistic method called Contextual Exploration, which handles the polysemic values of a term in texts. Several 'semantic maps' underlying 'point of views' for text mining guide this automatic annotation process. The second engine uses semantic annotated texts, produced previously in order to create a semantic inverted index, which is able to retrieve relevant documents for queries associated with discourse and semantic categories such as definition, quotation, causality, relations between concepts, etc. (Djioua & Desclés, 2007). This semantic indexation process builds a metatext layer for textual contents. Some data and linguistic rules sets as well as the general architecture that extend third-party software are expressed as supplementary information.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  15. Chaudhury, S.; Mallik, A.; Ghosh, H.: Multimedia ontology : representation and applications (2016) 0.00 
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    Abstract
    The book covers multimedia ontology in heritage preservation with intellectual explorations of various themes of Indian cultural heritage. The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled. The book contains information that helps with building semantic, content-based search and retrieval engines and also with developing vertical application-specific search applications. It guides you in designing multimedia tools that aid in logical and conceptual organization of large amounts of multimedia data. As a practical demonstration, it showcases multimedia applications in cultural heritage preservation efforts and the creation of virtual museums. The book describes the limitations of existing ontology techniques in semantic multimedia data processing, as well as some open problems in the representations and applications of multimedia ontology. As an antidote, it introduces new ontology representation and reasoning schemes that overcome these limitations. The long, compiled efforts reflected in Multimedia Ontology: Representation and Applications are a signpost for new achievements and developments in efficiency and accessibility in the field.
    Footnote
    Rez. in: Annals of Library and Information Studies 62(2015) no.4, S.299-300 (A.K. Das)
    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  16. Lassalle, E.; Lassalle, E.: Semantic models in information retrieval (2012) 0.00 
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    Abstract
    Robertson and Spärck Jones pioneered experimental probabilistic models (Binary Independence Model) with both a typology generalizing the Boolean model, a frequency counting to calculate elementary weightings, and their combination into a global probabilistic estimation. However, this model did not consider indexing terms dependencies. An extension to mixture models (e.g., using a 2-Poisson law) made it possible to take into account these dependencies from a macroscopic point of view (BM25), as well as a shallow linguistic processing of co-references. New approaches (language models, for example "bag of words" models, probabilistic dependencies between requests and documents, and consequently Bayesian inference using Dirichlet prior conjugate) furnished new solutions for documents structuring (categorization) and for index smoothing. Presently, in these probabilistic models the main issues have been addressed from a formal point of view only. Thus, linguistic properties are neglected in the indexing language. The authors examine how a linguistic and semantic modeling can be integrated in indexing languages and set up a hybrid model that makes it possible to deal with different information retrieval problems in a unified way.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  17. Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015) 0.00 
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    Abstract
    Ontologies have proven to be an essential element in many applications. They are used in agent systems, knowledge management systems, and e-commerce platforms. They can also generate natural language, integrate intelligent information, provide semantic-based access to the Internet, and extract information from texts in addition to being used in many other applications to explicitly declare the knowledge embedded in them. However, not only are ontologies useful for applications in which knowledge plays a key role, but they can also trigger a major change in current Web contents. This change is leading to the third generation of the Web-known as the Semantic Web-which has been defined as "the conceptual structuring of the Web in an explicit machine-readable way."1 This definition does not differ too much from the one used for defining an ontology: "An ontology is an explicit, machinereadable specification of a shared conceptualization."2 In fact, new ontology-based applications and knowledge architectures are developing for this new Web. A common claim for all of these approaches is the need for languages to represent the semantic information that this Web requires-solving the heterogeneous data exchange in this heterogeneous environment. Here, we don't decide which language is best of the Semantic Web. Rather, our goal is to help developers find the most suitable language for their representation needs. The authors analyze the most representative ontology languages created for the Web and compare them using a common framework.
  18. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.00 
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    LCSH
    Information storage and retrieval
    Series
    Lecture Notes in Computer Scienc;10370 )(Information Systems and Applications, incl. Internet/Web, and HCI
    Subject
    Information storage and retrieval
  19. Smith, D.A.; Shadbolt, N.R.: FacetOntology : expressive descriptions of facets in the Semantic Web (2012) 0.00 
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    Abstract
    The formal structure of the information on the Semantic Web lends itself to faceted browsing, an information retrieval method where users can filter results based on the values of properties ("facets"). Numerous faceted browsers have been created to browse RDF and Linked Data, but these systems use their own ontologies for defining how data is queried to populate their facets. Since the source data is the same format across these systems (specifically, RDF), we can unify the different methods of describing how to quer the underlying data, to enable compatibility across systems, and provide an extensible base ontology for future systems. To this end, we present FacetOntology, an ontology that defines how to query data to form a faceted browser, and a number of transformations and filters that can be applied to data before it is shown to users. FacetOntology overcomes limitations in the expressivity of existing work, by enabling the full expressivity of SPARQL when selecting data for facets. By applying a FacetOntology definition to data, a set of facets are specified, each with queries and filters to source RDF data, which enables faceted browsing systems to be created using that RDF data.
  20. Rousset, M.-C.; Atencia, M.; David, J.; Jouanot, F.; Ulliana, F.; Palombi, O.: Datalog revisited for reasoning in linked data (2017) 0.00 
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    Abstract
    Linked Data provides access to huge, continuously growing amounts of open data and ontologies in RDF format that describe entities, links and properties on those entities. Equipping Linked Data with inference paves the way to make the Semantic Web a reality. In this survey, we describe a unifying framework for RDF ontologies and databases that we call deductive RDF triplestores. It consists in equipping RDF triplestores with Datalog inference rules. This rule language allows to capture in a uniform manner OWL constraints that are useful in practice, such as property transitivity or symmetry, but also domain-specific rules with practical relevance for users in many domains of interest. The expressivity and the genericity of this framework is illustrated for modeling Linked Data applications and for developing inference algorithms. In particular, we show how it allows to model the problem of data linkage in Linked Data as a reasoning problem on possibly decentralized data. We also explain how it makes possible to efficiently extract expressive modules from Semantic Web ontologies and databases with formal guarantees, whilst effectively controlling their succinctness. Experiments conducted on real-world datasets have demonstrated the feasibility of this approach and its usefulness in practice for data integration and information extraction.
    Series
    Lecture Notes in Computer Scienc;10370) (Information Systems and Applications, incl. Internet/Web, and HCI

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  • e 26
  • d 5

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