LEADER 08432nam 22008055 450 001 9910483268603321 005 20200706215813.0 010 $a1-280-38992-3 010 $a9786613567840 010 $a3-642-16438-2 024 7 $a10.1007/978-3-642-16438-5 035 $a(CKB)2670000000056642 035 $a(SSID)ssj0000446579 035 $a(PQKBManifestationID)11318365 035 $a(PQKBTitleCode)TC0000446579 035 $a(PQKBWorkID)10496228 035 $a(PQKB)10235343 035 $a(DE-He213)978-3-642-16438-5 035 $a(MiAaPQ)EBC3066138 035 $a(PPN)149890656 035 $a(EXLCZ)992670000000056642 100 $a20101117d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aKnowledge Engineering: Practice and Patterns$b[electronic resource] $e17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings /$fedited by Philipp Cimiano, H. Sofia Pinto 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XXV, 588 p. 152 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6317 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-16437-4 320 $aIncludes bibliographical references and index. 327 $aKnowledge Engineering: Alignment and Identity -- Pattern-Based Mapping Refinement -- Practical Considerations on Identity for Instance Management in Ontological Investigation -- Knowledge Acquisition -- Involving Business Users in Formal Modeling Using Natural Language Pattern Sentences -- Knowledge Acquisition from Sources of Law in Public Administration -- Enriching the Gene Ontology via the Dissection of Labels Using the Ontology Pre-processor Language -- Collaboration in Knowledge Engineering -- Ontology Development for the Masses: Creating ICD-11 in WebProtégé -- RDFauthor: Employing RDFa for Collaborative Knowledge Engineering -- Knowledge Engineering: Patterns -- Pattern-Based Ontology Transformation Service Exploiting OPPL and OWL-API -- Experimenting with eXtreme Design -- Social Aspects and Tagging -- Weaving a Social Data Web with Semantic Pingback -- Social People-Tagging vs. Social Bookmark-Tagging -- FOLCOM or the Costs of Tagging -- Semantic Web, Web of Data and Linked Data -- Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data -- Scaling Up Question-Answering to Linked Data -- Ontology Evolution / Refinement -- Using Semantic Web Resources for Data Quality Management -- Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution -- What Is Concept Drift and How to Measure It? -- Knowledge Access -- Mobile Cultural Heritage Guide: Location-Aware Semantic Search -- Semantic Scout: Making Sense of Organizational Knowledge -- Annotation, Retrieval and Natural Language Processing -- Authoring Technical Documents for Effective Retrieval -- A Methodology towards Effective and Efficient Manual Document Annotation: Addressing Annotator Discrepancy and Annotation Quality -- Towards Better Ontological Support for Recognizing Textual Entailment -- Short Papers -- Making Sense of Design Patterns -- Acquiring and Modelling Legal Knowledge Using Patterns: An Application for the Dutch Immigration and Naturalisation Service -- A Model-Driven Approach for Using Templates in OWL Ontologies -- Specialization and Validation of Statecharts in OWL -- Temporal Knowledge Acquisition and Modeling -- Using Machine Learning to Support Continuous Ontology Development -- Handling Markup Overlaps Using OWL -- Ontology Learning for Cost-Effective Large-Scale Semantic Annotation of Web Service Interfaces -- Towards Hybrid Reasoning for Verifying and Validating Multilevel Models -- Representing, Proving and Sharing Trustworthiness of Web Resources Using Veracity -- Enhancing Content-Based Recommendation with the Task Model of Classification -- Extending Open Rating Systems for Ontology Ranking and Reuse -- HyperTwitter: Collaborative Knowledge Engineering via Twitter Messages -- TagSorting: A Tagging Environment for Collaboratively Building Ontologies -- QuiKey ? An Efficient Semantic Command Line -- Kali-ma: A Semantic Guide to Browsing and Accessing Functionalities in Plugin-Based Tools -- Constructing Understandable Explanations for Semantic Search Results -- Ontology Engineering with Rough Concepts and Instances -- Building Large Lexicalized Ontologies from Text: A Use Case in Automatic Indexing of Biotechnology Patents -- ReBEC: A Method for Capturing Experience during Software Development Projects -- Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements -- Evaluations of User-Driven Ontology Summarization -- A Visualization Service for the Semantic Web -- How Much Semantic Data on Small Devices? -- A Semantic Approach for Learning Objects Repositories with Knowledge Reuse. 330 $aKnowledge Management and Knowledge Engineering is a fascinating ?eld of re- 1 search these days. In the beginning of EKAW , the modeling and acquisition of knowledge was the privilege of ? or rather a burden for ? a few knowledge engineers familiar with knowledge engineering paradigms and knowledge rep- sentationformalisms.While the aimhasalwaysbeentomodelknowledgedecl- atively and allow for reusability, the knowledge models produced in these early days were typically used in single and very speci?c applications and rarely - changed. Moreover, these models were typically rather complex, and they could be understood only by a few expert knowledge engineers. This situation has changed radically in the last few years as clearly indicated by the following trends: ? The creation of (even formal) knowledge is now becoming more and more collaborative. Collaborative ontology engineering tools and social software platforms show the potential to leverage the wisdom of the crowds (or at least of ?the many?) to lead to broader consensus and thus produce shared models which qualify better for reuse. ? A trend can also be observed towards developing and publishing small but 2 3 4 high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than complex and large knowledge models. 410 0$aLecture Notes in Artificial Intelligence ;$v6317 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aSoftware engineering 606 $aApplication software 606 $aInformation storage and retrieval 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 607 $aLissabon <2010>$2swd 608 $aKongress$2swd 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aSoftware engineering. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aComputer Appl. in Administrative Data Processing. 676 $a006.33 702 $aCimiano$b Philipp$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPinto$b H. Sofia$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuropean Knowledge Acquisition Workshop 906 $aBOOK 912 $a9910483268603321 996 $aKnowledge Engineering: Practice and Patterns$9774057 997 $aUNINA