Semantic Search for Novel Information
IOS Press, 18.07.2017 - 214 Seiten
In this book, new approaches are presented for detecting and extracting simultaneously relevant and novel information from unstructured text documents. A major contribution of these approaches is that the information already provided and the extracted information are modeled semantically. This leads to the following benefits: (a) ambiguities in the language can be resolved; (b) the exact information needs regarding relevance and novelty can be specified; and (c) knowledge graphs can be incorporated. More specifically, this book presents the following scientific contributions: 1. An assessment of the suitability of existing large knowledge graphs (namely, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO) for the task of detecting novel information in text documents. 2. A description of an approach by which emerging entities that are missing in a knowledge graph are detected in a stream of text documents. 3. A suggestion for an approach to extracting novel, relevant, semantically-structured statements from text documents. The developed approaches are suitable for the recommendation of emerging entities and novel statements respectively, for the purpose of knowledge graph population, and for providing assistance to users requiring novel information, such as journalists and technology scouts.
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The Suitability of Knowledge Graphs for Semantic Novelty Detection
Emerging Entity Detection
Novel Statement Extraction
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annotated Apple Inc approach Chapter Computational Linguistics considered KGs contains CrunchBase data sets DBpedia defined domain Emerging Entity Detection example F1 scores Facebook Figure Freebase gold standard Information Extraction Information Retrieval input instance level iPhone KG entities KG Linking KG properties Knowledge Graph Linked Data Linked Open Data machine learning metric MusicBrainz N-Triples named entities noun phrase novel entities novel facts Novel Information Detection novel statement detection novel triple extraction novelty classes novelty detection number of classes number of entities number of instances number of unique ontology Open Data OpenCyc out-of-KG entities overview Part-of-Speech tag prefix prefix prefix Proceedings provides query regarding relations representation requested on Dec schema level Search for Relevant Semantic Novel Information Semantic Search Semantic Web semantically-structured sentence SIGIR SPARQL specific statistical surface forms task of Novel Temporal text documents Textual Triple Extraction thesis timeliness topic track TREC URIs Wikidata WordNet YAGO