-
Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011)
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- Date
- 22. 2.2013 11:34:18
- Footnote
- Rez. in: ZfBB 59(2012) H.2, S.119-120 (F. Förster); KO 39(2012) no.6, S.461-463 (I. Dahlberg)
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Euzenat, J.; Shvaiko, P.: Ontology matching (2010)
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- Abstract
- Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
- Date
- 20. 6.2012 19:08:22
-
Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016)
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Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010)
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- Content
- Die vorliegende Arbeit wurde von der Philosophischen Fakultät I, der Humboldt-Universität zu Berlin im Jahr 2009 als Dissertation zur Erlangung des akademischen Grades Doctor philosophiae (Dr. phil.) angenommen.
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Latif, A.: Understanding linked open data : for linked data discovery, consumption, triplification and application development (2011)
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- Abstract
- Linked Open Data initiative has played a vital role in the realization of the Semantic Web at a global scale by publishing and interlinking diverse data sources on the Web. Access to this huge amount of Linked Data presents exciting benefits and opportunities. However, the inherent complexity attached to Linked Data understanding, lack of potential use cases and applications which can consume Linked Data hinders its full exploitation by naïve web users and developers. This book aims to address these core limitations of Linked Open Data and contributes by presenting: (i) Conceptual model for fundamental understanding of Linked Open Data sphere, (ii) Linked Data application to search, consume and aggregate various Linked Data resources, (iii) Semantification and interlinking technique for conversion of legacy data, and (iv) Potential application areas of Linked Open Data.
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Shah, C.: Collaborative information seeking : the art and science of making the whole greater than the sum of all (2012)
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- Content
- Inhalt: Part I Introduction.- Introduction.- Collaboration.- Collaborative Information Seeking (CIS) in Context.- Part II Conceptual Understanding of CIS.- Frameworks for CIS Research and Development.- Toward a Model for CIS.- Part III CIS Systems, Applications, and Implications.- Systems and Tools for CIS.- Evaluation.- Conclusion.- Ten Stories of Five Cs.- Brief Overview of Computer-Supported Cooperative Work (CSCW).- Brief Overview of Computer-Supported Collaborative Learning (CSCL).- Brief Overview of Computer-Mediated Communication (CMC).
-
Semantic search over the Web (2012)
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- 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.
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Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018)
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