상세정보

Intro -- Preface -- Organization -- Contents -- Knowledge Graphs: Venturing Out into the Wild -- 1 Introduction -- 2 Knowledge Integration for Structured Data -- 3 Connecting Unstructured Data -- 3.1 Text and Language -- 3.2 Multimodal Knowledge -- 4 Towards Cognitive and Neural Approaches -- 4.1 Neural Models -- 4.2 Common-Sense Knowledge -- 5 Conclusion -- References -- Information Extraction from the Web by Matching Visual Presentation Patterns -- 1 Introduction -- 2 Related Work -- 3 Task Specification -- 4 Method Overview -- 5 Input Document Preprocessing and Representation -- 5.1 Visual Area Granularity -- 6 Initial Content Tagging -- 7 Tag Disambiguation -- 7.1 Visual Presentation Constraints -- 7.2 Matching the Visual and Semantic Relationships -- 8 Record Extraction -- 9 Experimental Evaluation -- 9.1 Conference Papers -- 9.2 Sports Results -- 9.3 Timetables -- 9.4 News Articles -- 10 Conclusions -- References -- Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases -- 1 Introduction -- 2 Preliminaries -- 2.1 RDF, RDFS, and OWL -- 2.2 Frequent Itemset Mining -- 3 Method -- 3.1 Deriving Independent Domain and Range Statements -- 3.2 Deriving Coupled Domain and Range Statements -- 4 Experiment -- 5 Evaluation -- 5.1 Evaluation of Independent Domain and Range Restrictions -- 5.2 Evaluation of Coupled Domain/Range Restrictions -- 6 Related Work -- 7 Conclusion -- References -- Wikipedia and DBpedia for Media - Managing Audiovisual Resources in Their Semantic Context -- Abstract -- 1 Introduction -- 2 Using Semantic Data at the EBU -- 2.1 Engaged in Semantic Web and Linked Open Data -- 2.2 EBU’s Usages for Wikipedia/DBpedia -- 2.3 DBpedia Data Resources in EBU’s Sport Applications -- 2.4 Simple Improvements for Big Results at EBU -- 3 Using Semantic Data at the NRK -- 3.1 Changing the Role of Metadata -- 3.2 Web First -- 3.3 Authority Registers -- 3.4 Pros and Cons of Using Wikipedia and DBpedia -- 3.5 Simple Improvements for Big Results at NRK -- 4 Using Semantic Data at the VRT -- 4.1 The Scope Shift in Descriptive Metadata -- 4.2 Linking Descriptive Metadata to the Semantic Web -- 4.3 Case Study 1: Semantic Search Engine (MediaLoep) -- 4.4 Simple Improvements for Big Results at VRT -- 5 Conclusions -- Acknowledgements -- References -- Identifying Global Representative Classes of DBpedia Ontology Through Multilingual Analysis: A Rank Aggregation Approach -- 1 Introduction -- 2 Rank Aggregation--Based Class Selection -- 2.1 Language-Specific Popularity Analysis -- 2.2 Language-Unified Popularity Analysis -- 3 Experimental Analysis -- 3.1 Evaluations -- 3.2 Result Analysis -- 4 Conclusion -- References -- Identifying Poorly-Defined Concepts in WordNet with Graph Metrics -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Word Sense Disambiguation -- 3.2 Graph-Based Metrics -- 3.3 Word-Based Metrics -- 4 Results -- 5 Conclusion -- References -- Extracting Process Graphs from Medical Text Data -- 1 Introduction -- 2 Related Work -- 3 Text Mining Methodology for Process Extraction -- 3.1 Text Processing and Classification for Activity Extraction -- 3.2 Process Graphs for Activity Representation and Processing -- 4 Applications and Examples -- 4.1 Summarization of Activities as Process Graphs -- 4.2 Summarization of Activities as Lists -- 4.3 Information Retrieval Within Process Graphs -- 4.4 Future Work -- References -- Chainable and Extendable Knowledge Integration Web Services -- 1 Introduction -- 2 FREME in Context -- 2.1 Related Work -- 3 FREME Architecture -- 4 Content Enrichment with Names Entities -- 4.1 FREME NER Overview -- 4.2 Entity Linking with Custom Datasets -- 4.3 Domain Specific NER -- 4.4 Experiments -- 5 Chainable Web Services -- 6 Conclusion -- References -- Entity Typing Using Distributional Semantics and DBpedia -- 1 Introduction -- 2 Background and Related Work -- 3 Entity Typing Using Distributional Semantics -- 4 Resources and Datasets -- 4.1 Benchmark Entity Linking Datasets -- 4.2 Word2vec Models -- 5 Experiments and Results -- 6 Results Analysis and Discussion -- 6.1 Dataset-Based Experiments -- 6.2 Topics-Based Experiments -- 6.3 Qualitative Analysis -- 7 Conclusion and Future Work -- References -- WC3: Analyzing the Style of Metadata Annotation Among Wikipedia Articles by Using Wikipedia Category and the DBpedia Metadata Database -- 1 Introduction -- 2 Related Work -- 3 WC3 -- 3.1 Prototype of WC3 -- 3.2 Issues with the WC3 Prototype -- 3.3 Proposal for a New Algorithm -- 4 Wikipedia Category Analysis Using WC3 -- 4.1 Candidate Wikipedia Categories -- 4.2 System Implementation and Examples -- 4.3 Success and Failure Analysis -- 4.4 Discussion -- 5 Conclusions -- References -- Author Index -- .