Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

Task selection in micro-task markets can be supported by recommender systems to help individuals to find appropriate tasks. Previous work showed that for the selection process of a micro-task the semantic aspects, such as the required action and the comprehensibility, are rated more important than factual aspects, such as the payment or the required completion time. This work gives a foundation...

Automatic story comprehension is a fundamental challenge in Natural Language Understanding, and can enable computers to learn about social norms, human behavior and commonsense. In this paper, we present a story comprehension model that explores three distinct semantic aspects: (i) the sequence of events described in the story, (ii) its emotional trajectory, and (iii) its plot consistency. We j...

This article discusses three aspects of recording multiword expressions (MWEs) in semantically oriented lexicons for NLP: achieving syntactic adequacy , achieving semantic adequacy, and computing the semantic contribution of non-compositional elements. The purpose of the analysis is twofold: first, to provide a descriptive, example-based account of how complex aspects of MWEs can be treated in ...

Semantic search augments the goals and scope of traditional search and information retrieval tasks. The paper analyzes the main aspects of semantic search and the corresponding features of some popular semantic search systems. The presentation is focused on a discussion of the implementation of a successful project in building modern semantic search engine. A brief analysis of the gained experi...

Quality is an important aspect of data discovery in the Semantic Sensor Web. This work extends current endeavors to make the Sensor Web more semantic by introducing an ontology design pattern which facilitates the modeling of aspects of spatial data quality. The implementation of a software program over two scenarios demonstrates the usefulness of the ontology design pattern for the Semantic Se...

Complementing semantic data mining systems by wikis and especially semantic wikis yield a flexible knowledge-rich method. This paper describes a system architecture of a collaborative approach for semantic data mining. The goal is to enhance the design, evaluation and refinement of data mining tasks using semantic technology. Collaborative aspects are introduced by utilizing wiki technology. We...

A system that extracts knowledge from encyclopedic texts is presented. The knowledge extraction component is based on a semantic interpreter of English based on an enhanced WordNet. The input to the knowledge extraction component is the output of the semantic interpreter. The extraction task was chosen in order to test the semantic interpreter. The following aspects are described: the definitio...

In this paper a generic service oriented architecture for the semantic annotation of conceptual models is described. It allows to annotate elements of conceptual models with concepts from formal semantic schemata. Thereby, additional semantic functionalities for models can be realized. Due to the integration of aspects of service orientation, the platform can be easily extended to support diffe...