In this paper we propose an extension to the KinectFusion approach which enables both SLAM-graph optimization, usually required on large looping routes, as well as discovery of semantic information in the form of object detection and localization. Global optimization is achieved by incorporating the notion of keyframe into a KinectFusion-style approach, thus providing the system with the abilit...

Semantic query optimization uses semantic knowledge in databases (represented in the form of integrity constraints) to rewrite queries and logic programs to achieve eecient query evaluation. Much work has been done to develop various techniques for optimization. Most of it, however, is applicable to top-down query evaluation strategies. Moreover, little attention has been paid to the cost of th...

This paper investigates the impact of geometric semantic crossover operators in a wide range of symbolic regression problems. First, it analyses the impact of using Manhattan and Euclidean distance geometric semantic crossovers in the learning process. Then, it proposes two strategies to numerically optimize the crossover mask based on mathematical properties of these operators, instead of simp...

Despite expectations being high, the industrial take-up of Semantic Web technologies in developing services and applications has been slower than expected. One of the main reasons is that many legacy systems have been developed without considering the potential of the Web in integrating services and sharing resources. Without a systematic methodology and proper tool support, the migration from ...

This paper describes a general architecture SCAN for hybrid symbolic connectionist processing of natural language phrases. SCAN's architecture shows how learned connectionist domain-dependent semantic representations can be combined with encoded symbolic syntactic representations. Within this general architecture we focus on a connectionist model for semantic classiication based on a scanning u...

Answer selection is an important task in question answering (QA) from the Web. To address the intrinsic difficulty in encoding sentences with semantic meanings, we introduce a general framework, i.e., Lexical Semantic Feature based Skip Convolution Neural Network (LSF-SCNN), with several optimization strategies. The intuitive idea is that the granular representations with more semantic features...

Current SOA-based systems are operating in a highly dynamic environments. While execution requirements, constraints, and preferences can change rapidly, the underlying infrastructure can affect service availability and influence quality of service. Furthermore, new services can emerge, existing services can undergo modification, and services can be retired. Since the SOA-based systems should be...

the pragmalinguistic and sociopragmatic aspects of language use vary across different situations, languages, and cultures. the separation of these two facets of language use can help to map out the socio-cultural norms and conventions as well as the linguistic forms and strategies that underlie the pragmatic performance of different language speakers in a variety of target language use situatio...