Titlebook: Knowledge Engineering and Semantic Web; 8th International Co Przemys?aw Ró?ewski,Christoph Lange Conference proceedings 2017 Springer Inter

microbe

書目名稱Knowledge Engineering and Semantic Web影響因子(影響力)




書目名稱Knowledge Engineering and Semantic Web影響因子(影響力)學科排名




書目名稱Knowledge Engineering and Semantic Web網(wǎng)絡公開度




書目名稱Knowledge Engineering and Semantic Web網(wǎng)絡公開度學科排名




書目名稱Knowledge Engineering and Semantic Web被引頻次




書目名稱Knowledge Engineering and Semantic Web被引頻次學科排名




書目名稱Knowledge Engineering and Semantic Web年度引用




書目名稱Knowledge Engineering and Semantic Web年度引用學科排名




書目名稱Knowledge Engineering and Semantic Web讀者反饋




書目名稱Knowledge Engineering and Semantic Web讀者反饋學科排名

orthodox

Searching for the Most Negative Opinionsfields such as industry, trade, political and socials issues..In this article, we will use diversified linguistic features and supervised machine learning algorithms so as to examine their effectiveness in the process of searching for the most negative opinions.

簡潔

得罪人

SYN

Temporal Reasoning with Non-convex Intervalsral operators for non-convex intervals and how to reason with them in our approach. We present a temporal reasoner that is able to reason both with temporal entities encoded with OWL-Time ontology and with non-convex temporal entities.

決定性

Conference proceedings 2017topical sections on natural language processing; knowledge representation and reasoning; ontologies and controlled vocabularies; scalable data access and storage solutions; semantic Web and education; linked data; semantic technologies in manufacturing and business..

NOCT

Inculcate

Conference proceedings 2017zecin, Poland, in November 2017.. The 16 full papers presented were carefully reviewed and selected from 58 submissions...The papers are organized in topical sections on natural language processing; knowledge representation and reasoning; ontologies and controlled vocabularies; scalable data access

EVADE

RuThes Cloud: Towards a Multilevel Linguistic Linked Open Data Resource for Russiand publishing constructed resource as LLOD-compatible dataset. We demonstrate the use case in which the developed resource is exploited in IR task. We hope that our work can serve as a crystallization point of the LLOD cloud in Russian.

Lumbar-Spine