Description
Semantic Web Challenges, 1st ed. 2016
Third SemWebEval Challenge at ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Revised Selected Papers
Communications in Computer and Information Science Series, Vol. 641
Coordinators: Sack Harald, Dietze Stefan, Tordai Anna, Lange Christoph
Language: EnglishSubjects for Semantic Web Challenges:
Keywords
artificial intelligence; benchmarks; graph search; information retrieval; knowledge extraction; knowledge management; linked data; machine learning; Natural Language Processing (NLP); opinion mining; perfornance evaluation; question answering; reproducible research; Resource Description Framework (RDF); semantic publishing; semantic web; sentiment analysis; social computing; XML; World Wide Web
Publication date: 10-2016
Support: Print on demand
Support: Print on demand
Description
/li>Contents
/li>Comment
/li>
This book constitutes the thoroughly refereed post conference proceedings of the third edition of the Semantic Web Evaluation Challenge, SemWebEval 2016, co-located with the 13th European Semantic Web conference, held in Heraklion, Crete, Greece, in May/June 2016.
This book includes the descriptions of all methods and tools that competed at SemWebEval 2016, together with a detailed description of the tasks, evaluation procedures and datasets. The contributions are grouped in the areas: Open Knowledge Extraction (OKE 2016); Semantic Sentiment Analysis (SSA 2016); Question Answering over Linked Data (QALD 6); Top-K Shortest Path in Large Typed RDF Graphs Datasets; Semantic Publishing (SemPub2016).
Open knowledge extraction.- Semantic sentiment analysis.- Question answering over linked data.- Top-K shortest path in large typed RDF graphs datasets.- Semantic publishing.
Aims at developing a set of common benchmasrks, established evaluation procedures, tasks and datasets in the field of semantic web. Contains detailed record of the one of the most important international scientific events for the semantic web research community. Presents a snapshot of the state-of-the-art and material for replication of results. Includes supplementary material: sn.pub/extras
© 2024 LAVOISIER S.A.S.