Titlebook: KI 2006; 29th Annual German C Christian Freksa,Michael Kohlhase,Kerstin Schill Conference proceedings 2007 Springer-Verlag Berlin Heidelber

傳家寶

書(shū)目名稱KI 2006影響因子(影響力)




書(shū)目名稱KI 2006影響因子(影響力)學(xué)科排名




書(shū)目名稱KI 2006網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱KI 2006網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱KI 2006被引頻次




書(shū)目名稱KI 2006被引頻次學(xué)科排名




書(shū)目名稱KI 2006年度引用




書(shū)目名稱KI 2006年度引用學(xué)科排名




書(shū)目名稱KI 2006讀者反饋




書(shū)目名稱KI 2006讀者反饋學(xué)科排名

AVID

縫紉

玷污

On the Scalability of Description Logic Instance Retrievaltic knowledge. In this paper we present and analyze the main results we have found about how to contribute to this kind of scalability problem. We assume familiarity with description logics in general and tableau provers in particular.

outrage

Relation Instantiation for Ontology Population Using the Webate relation instances are then ranked based on co-occurrence with a seed set. In an experiment, we extracted instances of the relation between artists and art styles. The results were manually evaluated against selected art resources.

Protein

Throttle

淺灘

Learning an Ensemble of Semantic Parsers for Building Dialog-Based Natural Language Interfaces In this paper, an approach based on ensemble learning is proposed to trivially address the problem of unreliability in an NLI due to imperfect precision in the semantic parser in a way that also allows the recall of the NLI to be improved. Experimental results in two real world domains suggested that such an approach can be promising.

narcotic

instructive

Active Monte Carlo Recognitiontively handles object transformations in scale, translation, rotation, affine and non-affine distortion. We describe the general AMCR in detail, introduce a particular implementation, and present illustrative empirical results.