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Semantic Science: Ontologies, Data and Probabilistic Theories [chapter]

David Poole, Clinton Smyth, Rita Sharma
2008 Lecture Notes in Computer Science  
The idea is that, using rich ontologies, both observational data and theories that make (probabilistic) predictions on data are published for the purposes of improving or comparing the theories, and for  ...  This chapter overviews work on semantic science.  ...  Acknowledgements Thanks to Jacek Kisyński, Mark Crowley, and the anonymous reviewers for valuable comments. This research was funded by NSERC and Georeference Online. Bibliography  ... 
doi:10.1007/978-3-540-89765-1_2 fatcat:pswhtj36krcfbe4mect5glahuu

Probabilistic Semantics

Salvatore F. Pileggi
2016 Procedia Computer Science  
Probabilistic extensions and their implications to the current semantic ecosystems are discussed in this paper with an implicit focus on the Web and its evolution.  ...  This paper proposes a concise overview of Probabilistic Semantics according to a technologyoriented perspective.  ...  The semantic representation commonly refers to the process of annotating resources with semantic metadata (Semantic Annotation and Indexing [12] ) and to the use of rich data models called Ontology (e.g  ... 
doi:10.1016/j.procs.2016.05.472 fatcat:eagm6fi2vjcufnhcivmrlkur3e

Semantic relations in information science

Christopher S. G. Khoo, Jin-Cheon Na
2007 Annual Review of Information Science and Technology  
The usefulness of semantic relations in information science, especially in ontology construction, information extraction, information retrieval, question-answering and text summarization is discussed.  ...  This chapter examines the nature of semantic relations and their main applications in information science.  ...  ACKNOWLEDGEMENTS Our grateful thanks to the three anonymous reviewers for their close reading of the earlier draft, and their many helpful comments and leads to related literature, that have helped to  ... 
doi:10.1002/aris.1440400112 fatcat:76uenbhkd5halopbxy2gt47dja

Foundations of model construction in feature-based semantic science

D. Poole
2012 Journal of Logic and Computation  
The aim of what semantic science is to have scientific ontologies, data, and hypotheses represented and published in machine understandable forms that enable predictions on new cases.  ...  This paper considers feature-based semantic science where the data and new cases are described in terms of features.  ...  Semantic science is trying to be broad and bottom-up. It should serve to democratize science in allowing not just the elite to create data and hypotheses.  ... 
doi:10.1093/logcom/exs046 fatcat:3rwpjly4mjgo3g56oqn7yzbhra

Towards a Statistically Semantic Web [chapter]

Gerhard Weikum, Jens Graupmann, Ralf Schenkel, Martin Theobald
2004 Lecture Notes in Computer Science  
The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri.  ...  Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines.  ...  in business and industry (e.g., market analyses, logistic chains), society (e.g., health care), and virtually all sciences that are more and more data-driven (e.g., gene expression data analyses and other  ... 
doi:10.1007/978-3-540-30464-7_2 fatcat:sva3zylsrbdv7ge7wr5jy6ux6u

Probabilistic Ontology Learner in Semantic Turkey [chapter]

Francesca Fallucchi, Noemi Scarpato, Armando Stellato, Fabio Massimo Zanzotto
2009 Lecture Notes in Computer Science  
In this paper we present the Semantic Turkey Ontology Learner (ST-OL), an incremental ontology learning system, that follows two main ideas: (1) putting final users in the learning loop; (2) using a probabilistic  ...  ontology learning model that exploits transitive relations for inducing better extraction models.  ...  probabilistic models and/or for inducing new ontology contributions).  ... 
doi:10.1007/978-3-642-10291-2_30 fatcat:o4aiy5y6ojaetgcufa7aimoqtq

Viewpoints on Emergent Semantics [chapter]

Philippe Cudré-Mauroux, Karl Aberer, Alia I. Abdelmoty, Tiziana Catarci, Ernesto Damiani, Arantxa Illaramendi, Mustafa Jarrar, Robert Meersman, Erich J. Neuhold, Christine Parent, Kai-Uwe Sattler, Monica Scannapieco (+3 others)
2006 Lecture Notes in Computer Science  
This view is based on the concept of emergent semantics, which sees both the representation of semantics and the discovery of the proper interpretation of symbols as the result of a self-organizing process  ...  This is a complex systems perspective on the problem of dealing with semantics. We highlight some of the distinctive features of our vision and point out preliminary examples of its application.  ...  Acknowledgment We would like to thank Avigdor Gal for his insightful comments and suggestions about this work.  ... 
doi:10.1007/11803034_1 fatcat:u5l6gr5frfdufcjzfdnvgowq44

Uncertainty modeling process for semantic technology

Rommel N. Carvalho, Kathryn B. Laskey, Paulo C.G. Da Costa
2016 PeerJ Computer Science  
To explain how the methodology works and to verify that it can be applied to different scenarios, this paper describes step-by-step the construction of a proof-of-concept probabilistic ontology.  ...  To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST), a new methodology for modeling probabilistic ontologies.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj-cs.77 fatcat:nbpfounvwbgbjj4q2wqvkwgjji

PR-OWL: A Bayesian Ontology Language for the Semantic Web [chapter]

Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
2008 Lecture Notes in Computer Science  
This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty.  ...  The new language, PR-OWL, will allow legacy ontologies to interoperate with newly developed probabilistic ontologies.  ...  While the WWW provides a new presentation medium, and technologies such as XML present new data exchange formats, neither addresses the semantics of data being exchanged.  ... 
doi:10.1007/978-3-540-89765-1_6 fatcat:azbyns4ftfdlvbunfm4kr2mceu

Probabilistic Information Integration and Retrieval in the Semantic Web [chapter]

Livia Predoiu
2007 Lecture Notes in Computer Science  
For this purpose, languages for representing the semantics of data by means of ontologies have been proposed such as RDF(S) and OWL.  ...  While the semantics of RDF(S) requires a non-standard model-theory that goes beyond first order logics, OWL is intended to model subsets of first order logics.  ...  For this purpose, languages for representing the semantics of data by means of ontologies have been proposed such as RDF(S) and OWL.  ... 
doi:10.1007/978-3-540-76298-0_73 fatcat:ctzfglkg5remxcqymvryhqchqa

Semantics for the Semantic Web

Amit Sheth, Cartic Ramakrishnan, Christopher Thomas
2005 International Journal on Semantic Web and Information Systems (IJSWIS)  
Considering the role of semantics in a number of research areas in computer science, we organize semantics in three forms: implicit, formal and powerful, and explore their roles in enabling some of the  ...  Enabling applications that exploit heterogeneous data in the Semantic Web will require us to harness a broad variety of semantics.  ...  Introduction Semantics has been a part of several scientific disciplines, both in the realm of Computer Science and outside of it.  ... 
doi:10.4018/jswis.2005010101 fatcat:2fhj6qrlfbh2hbu4mrq2sjekzy

TURAMBAR: An Approach to Deal with Uncertainty in Semantic Environments [chapter]

David Ausín, Federico Castanedo, Diego López-de-Ipiña
2012 Lecture Notes in Computer Science  
Research community has shown a great interest in OWL ontologies as a context modeling tool for semantic environments.  ...  OWL ontologies are characterized by its expressive power and are based on description logics. However, they have limitations when dealing with uncertainty and vagueness knowledge.  ...  To cope with uncertainty, there are two popular approaches: the possibilistic theory and the probabilistic theory.  ... 
doi:10.1007/978-3-642-35395-6_45 fatcat:zj2zsrmllvc7jmswl32ysbtxym

Semantics and Inference for Probabilistic Description Logics [chapter]

Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Fabiano Aguiari
2014 Lecture Notes in Computer Science  
We present a semantics for Probabilistic Description Logics that is based on the distribution semantics for Probabilistic Logic Programming.  ...  The semantics, called DISPONTE, allows to express assertional probabilistic statements.  ...  In [7, 34, 37, 36] we applied the distribution semantics to DLs obtaining DISP-ONTE for "DIstribution Semantics for Probabilistic ONTologiEs" (Spanish for "get ready"), in which we annotate axioms of  ... 
doi:10.1007/978-3-319-13413-0_5 fatcat:34gxo44eqjc6xaetvyyd6ezuoi

A survey of trust in computer science and the Semantic Web

Donovan Artz, Yolanda Gil
2007 Journal of Web Semantics  
This paper gives an overview of existing trust research in computer science and the Semantic Web.  ...  In computer science, trust is a widelyused term whose definition differs among researchers and application areas.  ...  Acknowledgements We would like to thank the anonymous reviewers for their valuable comments and feedback on this work.  ... 
doi:10.1016/j.websem.2007.03.002 fatcat:35nvnm3hkvb63n7t2frlaucq3i

Emergent Semantics Systems [chapter]

Karl Aberer, Tiziana Catarci, Philippe Cudré-Mauroux, Tharam Dillon, Stephan Grimm, Mohand-Said Hacid, Arantza Illarramendi, Mustafa Jarrar, Vipul Kashyap, Massimo Mecella, Eduardo Mena, Erich J. Neuhold (+9 others)
2004 Lecture Notes in Computer Science  
Traditional semantic reconciliation techniques, dependent upon shared vocabularies or global ontologies, cannot be used in such open and dynamic environments.  ...  In this paper, we outline the main differences between traditional semantic reconciliation methods and these new heuristics.  ...  In comparison of using lexical resources with the use of axiomatized domain theories (i.e., ontologies), building adequate ontologies is difficult and very expensive, while many reliable and comprehensive  ... 
doi:10.1007/978-3-540-30145-5_2 fatcat:k2taijhip5avtanpyh7vox5qgi
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