Search (69 results, page 1 of 4)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Semantic Web"
  1. Bergamaschi, S.; Domnori, E.; Guerra, F.; Rota, S.; Lado, R.T.; Velegrakis, Y.: Understanding the semantics of keyword queries on relational data without accessing the instance (2012) 0.03 
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    Abstract
    The birth of the Web has brought an exponential growth to the amount of the information that is freely available to the Internet population, overloading users and entangling their efforts to satisfy their information needs. Web search engines such Google, Yahoo, or Bing have become popular mainly due to the fact that they offer an easy-to-use query interface (i.e., based on keywords) and an effective and efficient query execution mechanism. The majority of these search engines do not consider information stored on the deep or hidden Web [9,28], despite the fact that the size of the deep Web is estimated to be much bigger than the surface Web [9,47]. There have been a number of systems that record interactions with the deep Web sources or automatically submit queries them (mainly through their Web form interfaces) in order to index their context. Unfortunately, this technique is only partially indexing the data instance. Moreover, it is not possible to take advantage of the query capabilities of data sources, for example, of the relational query features, because their interface is often restricted from the Web form. Besides, Web search engines focus on retrieving documents and not on querying structured sources, so they are unable to access information based on concepts.
  2. Eiter, T.; Kaminski, T.; Redl, C.; Schüller, P.; Weinzierl, A.: Answer set programming with external source access (2017) 0.03 
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    Abstract
    Access to external information is an important need for Answer Set Programming (ASP), which is a booming declarative problem solving approach these days. External access not only includes data in different formats, but more general also the results of computations, and possibly in a two-way information exchange. Providing such access is a major challenge, and in particular if it should be supported at a generic level, both regarding the semantics and efficient computation. In this article, we consider problem solving with ASP under external information access using the dlvhex system. The latter facilitates this access through special external atoms, which are two-way API style interfaces between the rules of the program and an external source. The dlvhex system has a flexible plugin architecture that allows one to use multiple predefined and user-defined external atoms which can be implemented, e.g., in Python or C++. We consider how to solve problems using the ASP paradigm, and specifically discuss how to use external atoms in this context, illustrated by examples. As a showcase, we demonstrate the development of a hex program for a concrete real-world problem using Semantic Web technologies, and discuss specifics of the implementation process.
  3. Semantic applications (2018) 0.03 
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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.
    RSWK
    Wissensbasiertes System
    Subject
    Wissensbasiertes System
  4. Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012) 0.03 
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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.
  5. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.03 
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    Abstract
    Das Semantic Web - bzw. Linked Data - hat das Potenzial, die Verfügbarkeit von Daten und Wissen, sowie den Zugriff darauf zu revolutionieren. Einen großen Beitrag dazu können Wissensorganisationssysteme wie Thesauri leisten, die die Daten inhaltlich erschließen und strukturieren. Leider sind immer noch viele dieser Systeme lediglich in Buchform oder in speziellen Anwendungen verfügbar. Wie also lassen sie sich für das Semantic Web nutzen? Das Simple Knowledge Organization System (SKOS) bietet eine Möglichkeit, die Wissensorganisationssysteme in eine Form zu "übersetzen", die im Web zitiert und mit anderen Resourcen verknüpft werden kann.
    Date
    15. 3.2011 19:21:22
    Source
    http://metadaten-twr.org/2011/01/19/skos-simple-knowledge-organisation-system/
  6. Isaac, A.; Baker, T.: Linked data practice at different levels of semantic precision : the perspective of libraries, archives and museums (2015) 0.03 
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    Abstract
    Libraries, archives and museums rely on structured schemas and vocabularies to indicate classes in which a resource may belong. In the context of linked data, key organizational components are the RDF data model, element schemas and value vocabularies, with simple ontologies having minimally defined classes and properties in order to facilitate reuse and interoperability. Simplicity over formal semantics is a tenet of the open-world assumption underlying ontology languages central to the Semantic Web, but the result is a lack of constraints, data quality checks and validation capacity. Inconsistent use of vocabularies and ontologies that do not follow formal semantics rules and logical concept hierarchies further complicate the use of Semantic Web technologies. The Simple Knowledge Organization System (SKOS) helps make existing value vocabularies available in the linked data environment, but it exchanges precision for simplicity. Incompatibilities between simple organized vocabularies, Resource Description Framework Schemas and OWL ontologies and even basic notions of subjects and concepts prevent smooth translations and challenge the conversion of cultural institutions' unique legacy vocabularies for linked data. Adopting the linked data vision requires accepting loose semantic interpretations. To avoid semantic inconsistencies and illogical results, cultural organizations following the linked data path must be careful to choose the level of semantics that best suits their domain and needs.
  7. Metadata and semantics research : 7th Research Conference, MTSR 2013 Thessaloniki, Greece, November 19-22, 2013. Proceedings (2013) 0.02 
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    Abstract
    Metadata and semantics are integral to any information system and significant to the sphere of Web data. Research focusing on metadata and semantics is crucial for advancing our understanding and knowledge of metadata; and, more profoundly for being able to effectively discover, use, archive, and repurpose information. In response to this need, researchers are actively examining methods for generating, reusing, and interchanging metadata. Integrated with these developments is research on the application of computational methods, linked data, and data analytics. A growing body of work also targets conceptual and theoretical designs providing foundational frameworks for metadata and semantic applications. There is no doubt that metadata weaves its way into nearly every aspect of our information ecosystem, and there is great motivation for advancing the current state of metadata and semantics. To this end, it is vital that scholars and practitioners convene and share their work.
    The MTSR 2013 program and the contents of these proceedings show a rich diversity of research and practices, drawing on problems from metadata and semantically focused tools and technologies, linked data, cross-language semantics, ontologies, metadata models, and semantic system and metadata standards. The general session of the conference included 18 papers covering a broad spectrum of topics, proving the interdisciplinary field of metadata, and was divided into three main themes: platforms for research data sets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; and content management. Metadata as a research topic is maturing, and the conference also supported the following five tracks: Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures; Metadata and Semantics for Cultural Collections and Applications; Metadata and Semantics for Agriculture, Food and Environment; Big Data and Digital Libraries in Health, Science and Technology; and European and National Projects, and Project Networking. Each track had a rich selection of papers, giving broader diversity to MTSR, and enabling deeper exploration of significant topics.
    All the papers underwent a thorough and rigorous peer-review process. The review and selection this year was highly competitive and only papers containing significant research results, innovative methods, or novel and best practices were accepted for publication. Only 29 of 89 submissions were accepted as full papers, representing 32.5% of the total number of submissions. Additional contributions covering noteworthy and important results in special tracks or project reports were accepted, totaling 42 accepted contributions. This year's conference included two outstanding keynote speakers. Dr. Stefan Gradmann, a professor arts department of KU Leuven (Belgium) and director of university library, addressed semantic research drawing from his work with Europeana. The title of his presentation was, "Towards a Semantic Research Library: Digital Humanities Research, Europeana and the Linked Data Paradigm". Dr. Michail Salampasis, associate professor from our conference host institution, the Department of Informatics of the Alexander TEI of Thessaloniki, presented new potential, intersecting search and linked data. The title of his talk was, "Rethinking the Search Experience: What Could Professional Search Systems Do Better?"
    Date
    17.12.2013 12:51:22
  8. Mirizzi, R.: Exploratory browsing in the Web of Data (2011) 0.02 
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    Abstract
    The Linked Data initiative and the state of the art in semantic technologies led off all brand new search and mash-up applications. The basic idea is to have smarter lookup services for a huge, distributed and social knowledge base. All these applications catch and (re)propose, under a semantic data perspective, the view of the classical Web as a distributed collection of documents to retrieve. The interlinked nature of the Web, and consequently of the Semantic Web, is exploited (just) to collect and aggregate data coming from different sources. Of course, this is a big step forward in search and Web technologies, but if we limit our investi- gation to retrieval tasks, we miss another important feature of the current Web: browsing and in particular exploratory browsing (a.k.a. exploratory search). Thanks to its hyperlinked nature, the Web defined a new way of browsing documents and knowledge: selection by lookup, navigation and trial-and-error tactics were, and still are, exploited by users to search for relevant information satisfying some initial requirements. The basic assumptions behind a lookup search, typical of Information Retrieval (IR) systems, are no more valid in an exploratory browsing context. An IR system, such as a search engine, assumes that: the user has a clear picture of what she is looking for ; she knows the terminology of the specific knowledge space. On the other side, as argued in, the main challenges in exploratory search can be summarized as: support querying and rapid query refinement; other facets and metadata-based result filtering; leverage search context; support learning and understanding; other visualization to support insight/decision making; facilitate collaboration. In Section 3 we will show two applications for exploratory search in the Semantic Web addressing some of the above challenges.
  9. Ilik, V.: Distributed person data : using Semantic Web compliant data in subject name headings (2015) 0.02 
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    Abstract
    Providing efficient access to information is a crucial library mission. Subject classification is one of the major pillars that guarantees the accessibility of records in libraries. In this paper we discuss the need to associate person IDs and URIs with subjects when a named person happens to be the subject of the document. This is often the case with biographies, schools of thought in philosophy, politics, art, and literary criticism. Using Semantic Web compliant data in subject name headings enhances the ability to collocate topics about a person. Also, in retrieval, books about a person would be easily linked to works by that same person. In the context of the Semantic Web, it is expected that, as the available information grows, one would be more effective in the task of information retrieval. Information about a person or, as in the case of this paper, about a researcher exist in various databases, which can be discipline specific or publishers' databases, and in such cases they have an assigned identifier. They also exist in institutional directory databases. We argue that these various databases can be leveraged to support improved discoverability and retrieval of research output for individual authors and institutions, as well as works about those authors.
    Date
    8.11.2015 21:30:29
    Source
    Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro
  10. Kushwaha, N.; Vyas, O.P.: SemMovieRec : extraction of semantic features of DBpedia for recommender system (2017) 0.02 
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    Source
    Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber
  11. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.02 
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    Date
    29. 9.2015 19:11:44
    LCSH
    Information storage and retrieval system
    Information System
    Subject
    Information storage and retrieval system
    Information System
  12. Bianchini, C.; Willer, M.: ISBD resource and Its description in the context of the Semantic Web (2014) 0.02 
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    Abstract
    This article explores the question "What is an International Standard for Bibliographic Description (ISBD) resource in the context of the Semantic Web, and what is the relationship of its description to the linked data?" This question is discussed against the background of the dichotomy between the description and access using the Semantic Web differentiation of the three logical layers: real-world objects, web of data, and special purpose (bibliographic) data. The representation of bibliographic data as linked data is discussed, distinguishing the description of a resource from the iconic/objective and the informational/subjective viewpoints. In the conclusion, the authors give views on possible directions of future development of the ISBD.
  13. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.01 
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    Abstract
    Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field. Reasoning, i.e., the drawing of logical inferences from knowledge expressed in such standards, is traditionally based on logical deductive methods and algorithms which can be proven to be sound and complete and terminating, i.e. correct in a very strong sense. For various reasons, though, in particular the scalability issues arising from the ever increasing amounts of Semantic Web data available and the inability of deductive algorithms to deal with noise in the data, it has been argued that alternative means of reasoning should be investigated which bear high promise for high scalability and better robustness. From this perspective, deductive algorithms can be considered the gold standard regarding correctness against which alternative methods need to be tested. In this paper, we show that it is possible to train a Deep Learning system on RDF knowledge graphs, such that it is able to perform reasoning over new RDF knowledge graphs, with high precision and recall compared to the deductive gold standard.
    Date
    16.11.2018 14:22:01
  14. Cahier, J.-P.; Zaher, L'H.; Isoard , G.: Document et modèle pour l'action, une méthode pour le web socio-sémantique : application à un web 2.0 en développement durable (2010) 0.01 
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    Abstract
    We present the DOCMA method (DOCument and Model for Action) focused to Socio-Semantic web applications in large communities of interest. DOCMA is dedicated to end-users without any knowledge in Information Science. Community Members can elicit, structure and index shared business items emerging from their inquiry (such as projects, actors, products, geographically situated objects of interest.). We apply DOCMA to an experiment in the field of Sustainable Development: the Cartodd-Map21 collaborative Web portal.
  15. Fripp, D.: Using linked data to classify web documents (2010) 0.01 
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    Abstract
    Purpose - The purpose of this paper is to find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach - A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis of selected web documents is performed using Calais' Semantic Proxy to support the considerations. Findings - Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality/value - Linked data have not been explicitly considered in this context before in the published literature.
  16. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.01 
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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.
  17. LeBoeuf, P.: ¬A strange model named FRBRoo (2012) 0.01 
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    Abstract
    Libraries and museums developed rules for the description of their collections prior to formalizing the underlying conceptualization reflected in such rules. That formalizing process took place in the 1990s and resulted in two independent conceptual models: FRBR for bibliographic information (published in 1998), and CIDOC CRM for museum information (developed from 1996 on, and issued as ISO standard 21127 in 2006). An international working group was formed in 2003 with the purpose of harmonizing these two models. The resulting model, FRBROO, was published in 2009. It is an extension to CIDOC CRM, using the formalism in which the former is written. It adds to FRBR the dynamic aspects of CIDOC CRM, and a number of refinements (e.g. in the definitions of Work and Manifestation). Some modifications were made in CIDOC CRM as well. FRBROO was developed with Semantic Web technologies in mind, and lends itself well to the Linked Data environment; but will it be used in that context?
  18. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.01 
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    Date
    29. 7.2011 14:44:56
    26.12.2011 13:40:22
  19. Hooland, S. van; Verborgh, R.; Wilde, M. De; Hercher, J.; Mannens, E.; Wa, R.Van de: Evaluating the success of vocabulary reconciliation for cultural heritage collections (2013) 0.01 
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    Date
    22. 3.2013 19:29:20
  20. Lassalle, E.; Lassalle, E.: Semantic models in information retrieval (2012) 0.01 
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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.

Authors

Languages

  • e 59
  • d 8
  • f 1
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Types

  • a 40
  • m 19
  • el 17
  • s 9
  • x 3
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