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Conference EKAW (Conference) (20th : 2016 : Bologna, Italy)
Title Knowledge engineering and knowledge management : 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings / Eva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali (eds.).
Imprint Cham, Switzerland : Springer, 2016.

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Conference EKAW (Conference) (20th : 2016 : Bologna, Italy)
Series Lecture notes in artificial intelligence, 0302-9743 ; 10024.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence ; 10024.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Knowledge acquisition (Expert systems) -- Congresses.
Semantic Web -- Congresses.
Alt Name Blomqvist, Eva,
Ciancarini, Paolo, 1959-
Poggi, Francesco,
Vitali, Fabio,
Add Title EKAW 2016
Description 1 online resource (xvii, 806 pages) : illustrations.
polychrome rdacc
Note International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed November 22, 2016).
Summary This book constitutes the refereed proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, held in Bologna, Italy, in November 2016. The 51 full papers presented were carefully reviewed and selected from 171 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "evolving knowledge", i.e., the impact of space and time on knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local models.
Contents Intro -- Preface -- Organization -- Contents -- Research Papers -- Automatic Key Selection for Data Linking -- 1 Introduction -- 2 Related Work -- 2.1 Automatic Linking Tools Configuration -- 2.2 Data Linking -- 2.3 Positioning -- 3 Automatic Key Ranking Approach -- 3.1 Selecting Mutual Keys for Two Datasets and Merging -- 3.2 Merged Keys Ranking -- 4 Evaluation -- 4.1 Experiments on the DOREMUS Benchmark -- 4.2 Experiments on the OAEI Benchmark Data -- 4.3 Top Ranked Keys Complementarity -- 5 Conclusion and Future Work -- References
Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching -- 1 Introduction -- 2 Preliminaries -- 2.1 Ontology Matching -- 2.2 Biomedical Ontologies Mapping -- 3 Overview of Our Approach -- 3.1 Building the Global Mapping Graph -- 3.2 Anchoring Source Concepts -- 3.3 Selection of the Specific Mapping Graph -- 3.4 Anchoring Target Concepts -- 3.5 Filtering Candidates Mappings -- 4 Path Confidence Measure -- 5 Implementation -- 5.1 NCBO BioPortal -- 5.2 Anatomy Track -- 6 Evaluation -- 6.1 Evaluation of Paths Types Quality
6.2 Evaluation of Final Alignment Quality -- 6.3 Specific Mapping Graph: Usefulness Evaluation -- 7 Related Work -- 8 Conclusion and Future Work -- References -- Populating a Knowledge Base with Object-Location Relations Using Distributional Semantics -- 1 Introduction -- 2 Related Work -- 3 Background: Word and Entity Vector Spaces -- 4 Word Embeddings for Relation Extraction -- 4.1 A Word Space Model of Entity Lexicalizations -- 4.2 Distributional Representations of Entities -- 5 Evaluation -- 5.1 Gold Standard -- 5.2 Ranking Evaluation -- 5.3 Precision Evaluation
5.4 Hybrid Methods: Fallback Pipeline and Linear Combination -- 6 Building a Knowledge Base of Object Locations -- 7 Conclusion and Future Work -- References -- Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction Based on Innovation-Adoption Priors -- 1 Introduction -- 2 Related Work -- 3 Language and Semantic Progressiveness in Scientific Literature -- 3.1 Dataset Description -- 3.2 Linguistic Progressiveness -- 3.3 Semantic Progressiveness -- 4 Framework for Forecasting Semantic Concepts Based on Innovation-Adoption Priors -- 4.1 Semantic Innovation Forecast (SIF) Model
4.2 Incorporating Innovation-Adoption Priors -- 4.3 SIF Inference -- 5 Experimental Setup -- 5.1 Forecasting with SIF -- 5.2 Gold Standard -- 5.3 Baselines -- 5.4 Estimating the Effectiveness of SIF -- 6 Experimental Results and Evaluation -- 6.1 Semantic Concept Forecast Results -- 7 Conclusions and Future Work -- References -- Leveraging the Impact of Ontology Evolution on Semantic Annotations -- 1 Introduction -- 2 Related Work -- 2.1 Existing Annotation Models -- 2.2 Annotation Evolution Techniques -- 3 Experimental Assessment of the Impact of KOS Evolution on Semantic Annotation
ISBN 9783319490045 (electronic bk.)
3319490044 (electronic bk.)
3319490036
9783319490038
9783319490052 (print)
3319490052
9783319490038 (print)
ISBN/ISSN 10.1007/978-3-319-49004-5
OCLC # 963934255
Link 998822134401631.
Additional Format Printed edition: 9783319490038.


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