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  • × theme_ss:"Semantic Web"
  • × year_i:[2010 TO 2020}
  1. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part 2. (2010) 0.10 
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    Abstract
    The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.
    RSWK
    Semantic Web / Kongress / Schanghai <2010>
    Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
    Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
    Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
    Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
    Subject
    Semantic Web / Kongress / Schanghai <2010>
    Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
    Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
    Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
    Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
    Theme
    Semantic Web
  2. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. (2010) 0.08 
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    Abstract
    The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.
    RSWK
    Semantic Web / Kongress / Schanghai <2010>
    Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
    Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
    Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
    Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
    Subject
    Semantic Web / Kongress / Schanghai <2010>
    Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
    Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
    Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
    Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
    Theme
    Semantic Web
  3. Linked data and user interaction : the road ahead (2015) 0.05 
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    Abstract
    This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. With a special emphasis on how libraries and other cultural heritage institutions can create effective end user interfaces using open, linked data or other datasets. These papers are essential reading for any one interesting in user interface design or the semantic web.
    Content
    H. Frank Cervone: Linked data and user interaction : an introduction -- Paola Di Maio: Linked Data Beyond Libraries Towards Universal Interfaces and Knowledge Unification -- Emmanuelle Bermes: Following the user's flow in the Digital Pompidou -- Patrick Le Bceuf: Customized OPACs on the Semantic Web : the OpenCat prototype -- Ryan Shaw, Patrick Golden and Michael Buckland: Using linked library data in working research notes -- Timm Heuss, Bernhard Humm.Tilman Deuschel, Torsten Frohlich, Thomas Herth and Oliver Mitesser: Semantically guided, situation-aware literature research -- Niklas Lindstrom and Martin Malmsten: Building interfaces on a networked graph -- Natasha Simons, Arve Solland and Jan Hettenhausen: Griffith Research Hub. Vgl.: http://d-nb.info/1032799889.
    LCSH
    Semantic Web
    RSWK
    Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung
    Linked Data / Online-Katalog / Semantic Web / Benutzeroberfläche / Kongress / Singapur <2013>
    Subject
    Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung
    Linked Data / Online-Katalog / Semantic Web / Benutzeroberfläche / Kongress / Singapur <2013>
    Semantic Web
    Theme
    Semantic Web
  4. Zumstein, P.: ¬Die Rolle des Semantic Web für Bibliotheken : Linked Open Data und mehr: Welche Strategien können hier die Bibliotheken in die Zukunft führen? (2012) 0.04 
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    Abstract
    Das Semantic Web ist die Vision einer Erweiterung des World Wide Webs, so dass die Daten nicht nur für Menschen leicht verständlich dargestellt werden, sondern auch von Maschinen verwertbar sind. Mit einer entsprechenden Ausgestaltung von Links zwischen einzelnen Webressourcen wäre das Web als riesige, globale Datenbank nutzbar. Darin könnten dann Softwareagenten für uns auch komplexe Fragestellungen und Planungen bearbeiten. In dieser Arbeit soll gezeigt werden, dass jede Bibliothek interessante Daten für das Semantic Web hat und umgekehrt von ihm profitieren kann. Ein Schwerpunkt liegt auf möglichen Anwendungsszenarien mit dem speziellen Fokus beim Bibliothekswesen.
    Content
    Vgl.: http://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/9398.
    Source
    Perspektive Bibliothek. 1(2012) H.1, S.81-102
    Theme
    Semantic Web
  5. Oliveira Machado, L.M.; Souza, R.R.; Simões, M. da Graça: Semantic web or web of data? : a diachronic study (1999 to 2017) of the publications of Tim Berners-Lee and the World Wide Web Consortium (2019) 0.03 
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    Abstract
    The web has been, in the last decades, the place where information retrieval achieved its maximum importance, given its ubiquity and the sheer volume of information. However, its exponential growth made the retrieval task increasingly hard, relying in its effectiveness on idiosyncratic and somewhat biased ranking algorithms. To deal with this problem, a "new" web, called the Semantic Web (SW), was proposed, bringing along concepts like "Web of Data" and "Linked Data," although the definitions and connections among these concepts are often unclear. Based on a qualitative approach built over a literature review, a definition of SW is presented, discussing the related concepts sometimes used as synonyms. It concludes that the SW is a comprehensive and ambitious construct that includes the great purpose of making the web a global database. It also follows the specifications developed and/or associated with its operationalization and the necessary procedures for the connection of data in an open format on the web. The goals of this comprehensive SW are the union of two outcomes still tenuously connected: the virtually unlimited possibility of connections between data-the web domain-with the potentiality of the automated inference of "intelligent" systems-the semantic component.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.7, S.701-714
    Theme
    Semantic Web
  6. 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 (2010) 0.03 
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    Abstract
    Informationswissenschaft und Informatik nähern sich auf vielen Gebieten bei ihren Projekten und in ihren Zielsetzungen immer stärker an. Ganz besonders deutlich wird dies vor dem Hintergrund von Semantic Web und Linked Data. Die Textanalyse und Fixierung der Essenz einer Publikation in Form ihrer belastbaren Aussagen und zugrunde liegender Daten sowie deren Speicherung und Aufbereitung für die Nutzung gehören zu den professionellen Aktivitäten der in der DGI organisierten Informationsfachleute. Das Semantic Web versprocht, bei entsprechender intellektueller Vorarbeit, diese Tätigkeiten künftig zu erleichtern. Der Tgaungsband macht an vielen Beispielen anschaulich klar, wie die in Informationswissenschaft und -praxis über Jahrzehnte erarbeiteten Grundlagen und Werkzeuge jetzt für den Aufbau der zukünftigen Informationsinfrastrukturen eingesetzt werden können. Er vereint die Textfassungen der Beiträge, die durch das Programmkomitee für die 1. DGI-Konferenz angenommen worden sind, dazu gehören u.a. wissensbasierte Anwendungen in der Wirtschaft, Aufbau von Ontologien mittels Thesauri, Mehrsprachigkeit und Open Data.
    Content
    Enthält die Beiträge: ONTOLOGIEN UND WISSENSREPRÄSENTATIONEN: DIE VERLINKUNG ZWISCHEN INFORMATIONSSUCHENDEN UND INFORMATIONSRESSOURCEN Die Verwendung von SKOS-Daten zur semantischen Suchfragenerweiterung im Kontext des individualisierbaren Informationsportals RODIN / Fabio Ricci und Rene Schneider - Aufbau einer Testumgebung zur Ermittlung signifikanter Parameter bei der Ontologieabfrage / Sonja Öttl, Daniel Streiff, Niklaus Stettler und Martin Studer - Anforderungen an die Wissensrepräsentation im Social Semantic Web / Katrin Weller SEMANTIC WEB & LINKED DATA: WISSENSBASIERTE ANWENDUNGEN IN DER WIRTSCHAFT Semantic Web & Linked Data für professionelle Informationsangebote. Hoffnungsträger oder "alter Hut" - Eine Praxisbetrachtung für die Wirtschaftsinformationen / Ruth Göbel - Semantische wissensbasierte Suche in den Life Sciences am Beispiel von GoPubMed / Michael R. Alvers Produktion und Distribution für multimedialen Content in Form von Linked Data am Beispiel von PAUX / Michael Dreusicke DAS RÜCKRAT DES WEB DER DATEN: ONTOLOGIEN IN BIBLIOTHEKEN Linked Data aus und für Bibliotheken: Rückgratstärkung im Semantic Web / Reinhard Altenhöner, Jan Hannemann und Jürgen Kett - MODS2FRBRoo: Ein Tool zur Anbindung von bibliografischen Daten an eine Ontologie für Begriffe und Informationen im Bereich des kulturellen Erbes / Hans-Georg Becker - Suchmöglichkeiten für Vokabulare im Semantic Web / Friederike Borchert
    LINKED DATA IM GEOINFORMATIONSBEREICH - CHANCEN ODER GEFAHR? Geodaten - von der Verantwortung des Dealers / Karsten Neumann - Computergestützte Freizeitplanung basierend auf Points Of Interest / Peter Bäcker und Ugur Macit VON LINKED DATA ZU VERLINKTEN DIALOGEN Die globalisierte Semantic Web Informationswissenschaftlerin / Dierk Eichel - Kommunikation und Kontext. Überlegungen zur Entwicklung virtueller Diskursräume für die Wissenschaft / Ben Kaden und Maxi Kindling - Konzeptstudie: Die informationswissenschaftliche Zeitschrift der Zukunft / Lambert Heller und Heinz Pampel SEMANTIC WEB & LINKED DATA IM BILDUNGSWESEN Einsatz von Semantic Web-Technologien am Informationszentrum Bildung / Carola Carstens und Marc Rittberger - Bedarfsgerecht, kontextbezogen, qualitätsgesichert: Von der Information zum Wertschöpfungsfaktor Wissen am Beispiel einer Wissenslandkarte als dynamisches System zur Repräsentation des Wissens in der Berufsbildungsforschung / Sandra Dücker und Markus Linten - Virtuelle Forschungsumgebungen und Forschungsdaten für Lehre und Forschung: Informationsinfrastrukturen für die (Natur-)Wissenschaften / Matthias Schulze
    OPEN DATA - OPENS PROBLEMS? Challenges and Opportunities in Social Science Research Data Management / Stefan Kramer - Aktivitäten von GESIS im Kontext von Open Data und Zugang zu sozialwissenschaftlichen Forschungsergebnissen / Anja Wilde, Agnieszka Wenninger, Oliver Hopt, Philipp Schaer und Benjamin Zapilko NUTZER UND NUTZUNG IM ZEITALTER VON SEMANTIC WEB & LINKED DATA Die Erfassung, Nutzung und Weiterverwendung von statistischen Informationen - Erfahrungsbericht / Doris Stärk - Einsatz semantischer Technologien zur Entwicklung eines Lerntrajektoriengenerators in frei zugänglichen, nicht personalisierenden Lernplattformen / Richard Huber, Adrian Paschke, Georges Awad und Kirsten Hantelmann OPEN DATA: KONZEPTE - NUTZUNG - ZUKUNFT Zur Konzeption und Implementierung einer Infrastruktur für freie bibliographische Daten / Adrian Pohl und Felix Ostrowski - Lösung zum multilingualen Wissensmanagement semantischer Informationen / Lars Ludwig - Linked Open Projects: Nachnutzung von Projektergebnissen als Linked Data / Kai Eckert AUSBLICK INFORMATIONSKOMPETENZ GMMIK ['gi-mik] - Ein Modell der Informationskompetenz / Aleksander Knauerhase WORKSHOP Wissensdiagnostik als Instrument für Lernempfehlungen am Beispiel der Facharztprüfung / Werner Povoden, Sabine Povoden und Roland Streule
    RSWK
    Semantic Web / Indexierung <Inhaltserschließung> / Information Retrieval / Kongress / Frankfurt <Main, 2010>
    Subject
    Semantic Web / Indexierung <Inhaltserschließung> / Information Retrieval / Kongress / Frankfurt <Main, 2010>
    Theme
    Semantic Web
  7. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.03 
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    Abstract
    The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.
    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
    Semantic Web
    Knowledge representation (Information theory)
    Object
    Web 2.0
    RSWK
    Semantic Web
    World Wide Web 2.0
    Series
    Knowledge and information; vol.3
    Subject
    Semantic Web
    World Wide Web 2.0
    Semantic Web
    Knowledge representation (Information theory)
    Theme
    Semantic Web
  8. Woitas, K.: Bibliografische Daten, Normdaten und Metadaten im Semantic Web : Konzepte der bibliografischen Kontrolle im Wandel (2010) 0.03 
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    Abstract
    Bibliografische Daten, Normdaten und Metadaten im Semantic Web - Konzepte der Bibliografischen Kontrolle im Wandel. Der Titel dieser Arbeit zielt in ein essentielles Feld der Bibliotheks- und Informationswissenschaft, die Bibliografische Kontrolle. Als zweites zentrales Konzept wird der in der Weiterentwicklung des World Wide Webs (WWW) bedeutsame Begriff des Semantic Webs genannt. Auf den ersten Blick handelt es sich hier um einen ungleichen Wettstreit. Auf der einen Seite die Bibliografische Kontrolle, welche die Methoden und Mittel zur Erschließung von bibliothekarischen Objekten umfasst und traditionell in Form von formal-inhaltlichen Surrogaten in Katalogen daherkommt. Auf der anderen Seite das Buzzword Semantic Web mit seinen hochtrabenden Konnotationen eines durch Selbstreferenzialität "bedeutungstragenden", wenn nicht sogar "intelligenten" Webs. Wie kamen also eine wissenschaftliche Bibliothekarin und ein Mitglied des World Wide Web Consortiums 2007 dazu, gemeinsam einen Aufsatz zu publizieren und darin zu behaupten, das semantische Netz würde ein "bibliothekarischeres" Netz sein? Um sich dieser Frage zu nähern, soll zunächst kurz die historische Entwicklung der beiden Informationssphären Bibliothek und WWW gemeinsam betrachtet werden. Denn so oft - und völlig zurecht - die informationelle Revolution durch das Internet beschworen wird, so taucht auch immer wieder das Analogon einer weltweiten, virtuellen Bibliothek auf. Genauer gesagt, nahmen die theoretischen Überlegungen, die später zur Entwicklung des Internets führen sollten, ihren Ausgangspunkt (neben Kybernetik und entstehender Computertechnik) beim Konzept des Informationsspeichers Bibliothek.
    Theme
    Semantic Web
  9. Semantic search over the Web (2012) 0.03 
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    Abstract
    The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.
    Content
    Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.
    Footnote
    Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtM.3uq2.bW89MQ%5f%5fCYKEFOP0.
    Theme
    Semantic Web
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Fernández, M.; Cantador, I.; López, V.; Vallet, D.; Castells, P.; Motta, E.: Semantically enhanced Information Retrieval : an ontology-based approach (2011) 0.03 
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    Abstract
    Currently, techniques for content description and query processing in Information Retrieval (IR) are based on keywords, and therefore provide limited capabilities to capture the conceptualizations associated with user needs and contents. Aiming to solve the limitations of keyword-based models, the idea of conceptual search, understood as searching by meanings rather than literal strings, has been the focus of a wide body of research in the IR field. More recently, it has been used as a prototypical scenario (or even envisioned as a potential "killer app") in the Semantic Web (SW) vision, since its emergence in the late nineties. However, current approaches to semantic search developed in the SW area have not yet taken full advantage of the acquired knowledge, accumulated experience, and technological sophistication achieved through several decades of work in the IR field. Starting from this position, this work investigates the definition of an ontology-based IR model, oriented to the exploitation of domain Knowledge Bases to support semantic search capabilities in large document repositories, stressing on the one hand the use of fully fledged ontologies in the semantic-based perspective, and on the other hand the consideration of unstructured content as the target search space. The major contribution of this work is an innovative, comprehensive semantic search model, which extends the classic IR model, addresses the challenges of the massive and heterogeneous Web environment, and integrates the benefits of both keyword and semantic-based search. Additional contributions include: an innovative rank fusion technique that minimizes the undesired effects of knowledge sparseness on the yet juvenile SW, and the creation of a large-scale evaluation benchmark, based on TREC IR evaluation standards, which allows a rigorous comparison between IR and SW approaches. Conducted experiments show that our semantic search model obtained comparable and better performance results (in terms of MAP and P@10 values) than the best TREC automatic system.
    Source
    Web semantics: science, services and agents on the World Wide Web. 9(2011) no.4, S.434-452
    Theme
    Semantic Web
  11. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.02 
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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
    Theme
    Semantic Web
  12. Hanke, M.: Bibliothekarische Klassifikationssysteme im semantischen Web : zu Chancen und Problemen von Linked-data-Repräsentationen ausgewählter Klassifikationssysteme (2014) 0.02 
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    Abstract
    Pflege und Anwendung von Klassifikationssystemen für Informationsressourcen sind traditionell eine Kernkompetenz von Bibliotheken. Diese Systeme sind häufig historisch gewachsen und die Veröffentlichung verschiedener Systeme ist in der Vergangenheit typischerweise durch gedruckte Regelwerke oder proprietäre Datenbanken erfolgt. Die Technologien des semantischen Web erlauben es, Klassifikationssysteme in einer standardisierten und maschinenlesbaren Weise zu repräsentieren, sowie als Linked (Open) Data für die Nachnutzung zugänglich zu machen. Anhand ausgewählter Beispiele von Klassifikationssystemen, die bereits als Linked (Open) Data publiziert wurden, werden in diesem Artikel zentrale semantische und technische Fragen erörtert, sowie mögliche Einsatzgebiete und Chancen dargestellt. So kann beispielsweise die für die Maschinenlesbarkeit erforderliche starke Strukturierung von Daten im semantischen Web zum besseren Verständnis der Klassifikationssysteme beitragen und möglicherweise positive Impulse für ihre Weiterentwicklung liefern. Für das semantische Web aufbereitete Repräsentationen von Klassifikationssystemen können unter anderem zur Kataloganreicherung oder für die anwendungsbezogene Erstellung von Konkordanzen zwischen verschiedenen Klassifikations- bzw. Begriffssystemen genutzt werden..
    Content
    Vgl. unter: https://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/16808=doi:10.11588/pb.2014.2.16808.
    Source
    Perspektive Bibliothek. 3(2014) H.2, S.91-119
    Theme
    Klassifikationssysteme im Online-Retrieval
    Semantic Web
  13. Semantic applications (2018) 0.02 
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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
    Semantic Web
    Subject
    Information Retrieval
    Semantic Web
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
    Theme
    Semantic Web
  14. Li, Z.: ¬A domain specific search engine with explicit document relations (2013) 0.02 
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    Abstract
    The current web consists of documents that are highly heterogeneous and hard for machines to understand. The Semantic Web is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documents are about domain specific knowledge and can have rich relations, they are currently managed by a traditional search engine, which ignores the rich domain specific information and presents few data to users. Motivated by the Semantic Web, we aim to find standard ways to process these documents, extract rich domain specific information and annotate these data to documents with formal markup languages. We propose this project to develop a domain specific search engine for processing different documents and building explicit relations for them. This research project consists of the three main focuses: examining different domain specific documents and finding ways to extract their metadata; integrating a text search engine with an ontology server; exploring novel ways to build relations for documents. We implement this system and demonstrate its functions. As a prototype, the system provides required features and will be extended in the future.
    Theme
    Semantic Web
  15. Stamou, G.; Chortaras, A.: Ontological query answering over semantic data (2017) 0.02 
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    Abstract
    Modern information retrieval systems advance user experience on the basis of concept-based rather than keyword-based query answering.
    Series
    Lecture Notes in Computer Scienc;10370) (Information Systems and Applications, incl. Internet/Web, and HCI
    Source
    Reasoning Web: Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures. Eds.: Ianni, G. et al
    Theme
    Semantic Web
  16. Martínez-González, M.M.; Alvite-Díez, M.L.: Thesauri and Semantic Web : discussion of the evolution of thesauri toward their integration with the Semantic Web (2019) 0.02 
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    Abstract
    Thesauri are Knowledge Organization Systems (KOS), that arise from the consensus of wide communities. They have been in use for many years and are regularly updated. Whereas in the past thesauri were designed for information professionals for indexing and searching, today there is a demand for conceptual vocabularies that enable inferencing by machines. The development of the Semantic Web has brought a new opportunity for thesauri, but thesauri also face the challenge of proving that they add value to it. The evolution of thesauri toward their integration with the Semantic Web is examined. Elements and structures in the thesaurus standard, ISO 25964, and SKOS (Simple Knowledge Organization System), the Semantic Web standard for representing KOS, are reviewed and compared. Moreover, the integrity rules of thesauri are contrasted with the axioms of SKOS. How SKOS has been applied to represent some real thesauri is taken into account. Three thesauri are chosen for this aim: AGROVOC, EuroVoc and the UNESCO Thesaurus. Based on the results of this comparison and analysis, the benefits that Semantic Web technologies offer to thesauri, how thesauri can contribute to the Semantic Web, and the challenges that would help to improve their integration with the Semantic Web are discussed.
    Theme
    Semantic Web
  17. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.02 
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    Abstract
    This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.
    Series
    Communications in computer and information science; 672
    Theme
    Semantic Web
  18. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.02 
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    Abstract
    Purpose - The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. Design/methodology/approach - The Visual Information-Seeking Mantra "Overview first, zoom and filter, then details-on-demand" proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. Findings - The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. Originality/value - Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.519-536
    Theme
    Semantic Web
    Semantisches Umfeld in Indexierung u. Retrieval
  19. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.02 
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    Abstract
    This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017. In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies.
    Content
    Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining
    LCSH
    Information storage and retrieval
    RSWK
    Ontologie <Wissensverarbeitung> / Semantic Web
    Series
    Lecture Notes in Computer Scienc;10370 )(Information Systems and Applications, incl. Internet/Web, and HCI
    Subject
    Ontologie <Wissensverarbeitung> / Semantic Web
    Information storage and retrieval
    Theme
    Semantic Web
  20. Bizer, C.; Mendes, P.N.; Jentzsch, A.: Topology of the Web of Data (2012) 0.02 
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    Abstract
    The degree of structure of Web content is the determining factor for the types of functionality that search engines can provide. The more well structured the Web content is, the easier it is for search engines to understand Web content and provide advanced functionality, such as faceted filtering or the aggregation of content from multiple Web sites, based on this understanding. Today, most Web sites are generated from structured data that is stored in relational databases. Thus, it does not require too much extra effort for Web sites to publish this structured data directly on the Web in addition to HTML pages, and thus help search engines to understand Web content and provide improved functionality. An early approach to realize this idea and help search engines to understand Web content is Microformats, a technique for markingup structured data about specific types on entities-such as tags, blog posts, people, or reviews-within HTML pages. As Microformats are focused on a few entity types, the World Wide Web Consortium (W3C) started in 2004 to standardize RDFa as an alternative, more generic language for embedding any type of data into HTML pages. Today, major search engines such as Google, Yahoo, and Bing extract Microformat and RDFa data describing products, reviews, persons, events, and recipes from Web pages and use the extracted data to improve the user's search experience. The search engines have started to aggregate structured data from different Web sites and augment their search results with these aggregated information units in the form of rich snippets which combine, for instance, data This chapter gives an overview of the topology of the Web of Data that has been created by publishing data on the Web using the microformats RDFa, Microdata and Linked Data publishing techniques.
    Source
    Semantic search over the Web. Eds.: R. De Virgilio, et al
    Theme
    Semantic Web

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