Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings
Knowledge Management and Knowledge Engineering is a fascinating field of re- 1 search these days. In the beginning of EKAW , the modeling and acquisition of knowledge was the privilege of – or rather a burden for – a few knowledge engineers familiar with knowledge engineering paradigms and knowledge rep- sentationformalisms.While the aim has always been to model knowledgede cl- atively and allow for reusability, the knowledge models produced in these early days were typically used in single and very specific applications and rarely - changed. Moreover, these models were typically rather complex, and they could be understood only by a few expert knowledge engineers. This situation has changed radically in the last few years as clearly indicated by the following trends: – The creation of (even formal) knowledge is now becoming more and more collaborative. Collaborative ontology engineering tools and social software platforms show the potential to leverage the wisdom of the crowds (or at least of “the many”) to lead to broader consensus and thus produce shared models which qualify better for reuse. – A trend can also be observed towards developing and publishing small but 2 3 4 high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than complex and large knowledge models.
1026549377
Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings
Knowledge Management and Knowledge Engineering is a fascinating field of re- 1 search these days. In the beginning of EKAW , the modeling and acquisition of knowledge was the privilege of – or rather a burden for – a few knowledge engineers familiar with knowledge engineering paradigms and knowledge rep- sentationformalisms.While the aim has always been to model knowledgede cl- atively and allow for reusability, the knowledge models produced in these early days were typically used in single and very specific applications and rarely - changed. Moreover, these models were typically rather complex, and they could be understood only by a few expert knowledge engineers. This situation has changed radically in the last few years as clearly indicated by the following trends: – The creation of (even formal) knowledge is now becoming more and more collaborative. Collaborative ontology engineering tools and social software platforms show the potential to leverage the wisdom of the crowds (or at least of “the many”) to lead to broader consensus and thus produce shared models which qualify better for reuse. – A trend can also be observed towards developing and publishing small but 2 3 4 high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than complex and large knowledge models.
109.99 In Stock
Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings

Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings

Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings

Knowledge Engineering: Practice and Patterns: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings

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Overview

Knowledge Management and Knowledge Engineering is a fascinating field of re- 1 search these days. In the beginning of EKAW , the modeling and acquisition of knowledge was the privilege of – or rather a burden for – a few knowledge engineers familiar with knowledge engineering paradigms and knowledge rep- sentationformalisms.While the aim has always been to model knowledgede cl- atively and allow for reusability, the knowledge models produced in these early days were typically used in single and very specific applications and rarely - changed. Moreover, these models were typically rather complex, and they could be understood only by a few expert knowledge engineers. This situation has changed radically in the last few years as clearly indicated by the following trends: – The creation of (even formal) knowledge is now becoming more and more collaborative. Collaborative ontology engineering tools and social software platforms show the potential to leverage the wisdom of the crowds (or at least of “the many”) to lead to broader consensus and thus produce shared models which qualify better for reuse. – A trend can also be observed towards developing and publishing small but 2 3 4 high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than complex and large knowledge models.

Product Details

ISBN-13: 9783642164378
Publisher: Springer Berlin Heidelberg
Publication date: 12/01/2010
Series: Lecture Notes in Computer Science , #6317
Edition description: 2010
Pages: 588
Product dimensions: 6.10(w) x 9.30(h) x 1.20(d)

Table of Contents

Knowledge Engineering: Alignment and Identity

Pattern-Based Mapping Refinement Fayçal Hamdi Chantal Reynaud Brigitte Safar 1

Practical Considerations on Identity for Instance Management in Ontological Investigation Kouji Kozaki Satoshi Endo Riichiro Mizoguchi 16

Knowledge Acquisition

Involving Business Users in Formal Modeling Using Natural Language Pattern Sentences Jeroen van Grondelle Ronald Heller Emiel van Haandel Tim Verburg 31

Knowledge Acquisition from Sources of Law in Public Administration Alexander Boer Tom van Engers 44

Enriching the Gene Ontology via the Dissection of Labels Using the Ontology Pre-processor Language Jesualdo Tomas Fernandez-Breis Luigi Iannone Ignazio Palmisano Alan L. Rector Robert Stevens 59

Collaboration in Knowledge Engineering

Ontology Development for the Masses: Creating ICD-11 in WebProtégé Tania Tudorache Sean Falconer Natalya F. Noy Csongor Nyulas Tevfik Bedirhan Üstün Margaret-Anne Storey Mark A. Musen 74

RDFauthor: Employing RDFa for Collaborative Knowledge Engineering Sebastian Tramp Norman Heino Sören Auer Philipp Frischmuth 90

Knowledge Engineering: Patterns

Pattern-Based Ontology Transformation Service Exploiting OPPL and OWL-API Ondrej Šváb-Zamazal Vojtech Svátek Luigi Iannone 105

Experimenting with eXtreme Design Eva Blomqvist Valentina Presutti Enrico Daga Aldo Gangemi 120

Social Aspects and Tagging

Weaving a Social Data Web with Semantic Pingback Sebastian Tramp Philipp Frischmuth Timofey Ermilov Sören Auer 135

Social People-Tagging vs. Social Bookmark-Tagging Peyman Nasirifard Sheila Kinsella Krystian Samp Stefan Decker 150

FOLCOMor the Costs of Tagging Elena Simperl Tobias Bürger Christian Hofer 163

Semantic Web, Web of Data and Linked Data

Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data Benjamin Adrian Jörn Hees Ivan Herman Michael Sintek Andreas Dengel 178

Scaling Up Question-Answering to Linked Data Vanessa Lopez Andriy Nikolov Marta Sabou Victoria Uren Enrico Motta Mathieu d'Aquin 193

Ontology Evolution / Refinement

Using Semantic Web Resources for Data Quality Management Christian Fürber Martin Hepp 211

Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution Fouad Zablith Mathieu d'Aquin Marta Sabou Enrico Motta 226

What Is Concept Drift and How to Measure It? Shenghui Wang Stefan Schlobach Michel Klein 241

Knowledge Access

Mobile Cultural Heritage Guide: Location-Aware Semantic Search Chris van Aart Bob Wielinga Willem Robert van Hage 257

Semantic Scout: Making Sense of Organizational Knowledge Claudio Baldassarre Enrico Daga Aldo Gangemi Alfio Gliozzo Alberto Salvati Gianluca Troiani 272

Annotation, Retrieval and Natural Language Processing

Authoring Technical Documents for Effective Retrieval Jonathan Butters Fabio Ciravegna 287

A Methodology towards Effective and Efficient Manual Document Annotation: Addressing Annotator Discrepancy and Annotation Quality Ziqi Zhang Sam Chapman Fabio Ciravegna 301

Towards Better Ontological Support for Recognizing Textual Entailment Andreas Wotzlaw 316

Short Papers

Making Sense of Design Patterns Rinke Hoekstra Joost Breuker 331

Acquiring and Modelling Legal Knowledge Using Patterns: An Application for the Dutch Immigration and Naturalisation Service Patries Kordelaar Freek van Teeseling Edwin Hoogland 341

A Model-Driven Approach for Using Templates in OWL Ontologies Fernando Silva Parreiras Gerd Gröner Tobias Walter Steffen Staab 350

Specialization and Validation of Statecharts in OWL Gerd Gröner Steffen Staab 360

Temporal Knowledge Acquisition and Modeling Cyril Faucher Charles Teissèdre Jean-Yves Lafaye Frédéric Bertrand 371

Using Machine Learning to Support Continuous Ontology Development Maryam Ramezani Hans Friedrich Witschel Simone Braun Valentin Zacharias 381

Handling Markup Overlaps Using OWL Angela Di Iorio Silvio Peroni Fabio Vitali 391

Ontology Learning for Cost-Effective Large-Scale Semantic Annotation of Web Service Interfaces Shahab Mokarizadeh Peep Küngas Mihhail Matskin 401

Towards Hybrid Reasoning for Verifying and Validating Multilevel Models Nophadol Jekjantuk Gerd Gröner Jeff Z. Pan Edward Thomas 411

Representing, Proving and Sharing Trustworthiness of Web Resources Using Veracity Grégoire Burel Amparo E. Cano Matthew Rowe Alfonso Sosa 421

Enhancing Content-Based Recommendation with the Task Model of Classification Yiwen Wang Shenghui Wang Natalia Stash Lora Aroyo Guus Schreiber 431

Extending Open Rating Systems for Ontology Ranking and Reuse Holger Lewen Mathieu d'Aquin 441

HyperTwitter: Collaborative Knowledge Engineering via Twitter Messages Martin Hepp 451

TagSorting: A Tagging Environment for Collaboratively Building Ontologies Leyla Jael García-Castro Martin Hepp Alexander García 462

QuiKey - An Efficient Semantic Command Line Heiko Haller 473

Kali-ma: A Semantic Guide to Browsing and Accessing Functionalities in Plugin-Based Tools Alessandro Adamou Valentina Presutti Aldo Gangemi 483

Constructing Understandable Explanations for Semantic Search Results Björn Forcher Thomas Roth-Berghofer Michael Sintek Andreas Dengel 493

Ontology Engineering with Rough Concepts and Instances C. Maria Keet 503

Building Large Lexicalized Ontologies from Text: A Use Case in Automatic Indexing of Biotechnology Patents Claire Nédellec Wiktoria Golik Sophie Aubin Robert Bossy 514

ReBEC: A Method for Capturing Experience during Software Development Projects Gerardo Matturro Andrés Silva 524

Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements Laura Moss Derek Sleeman Malcolm Sim 534

Evaluations of User-Driven Ontology Summarization Ning Li Enrico Motta 544

A Visualization Service for the Semantic Web Sean M. Falconer Chris Callendar Margaret-Anne Storey 554

How Much Semantic Data on Small Devices? Mathieu d'Aquin Andriy Nikolov Enrico Motta 565

A Semantic Approach for Learning Objects Repositories with Knowledge Reuse Isabel Azevedo Rui Seiça Adela Ortiz Eurico Carrapatoso Carlos Vaz de Carvalho 576

Author Index 587

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