In recent years, CNL (Controlled Natural Language) has received much attention with regard to ontology-based knowledge acquisition systems. CNLs, as subsets of natural languages, can be useful for both humans and computers by eliminating ambiguity of natural languages. Our previous work, OntoPath [10], proposed to edit natural language-like narratives that are structured in RDF (Resource Description Framework) triples, using a domainspecific ontology as their language constituents. However, our previous work and other systems employing CFG for grammar definition have difficulties in enlarging the expression capacity. A newly developed editor, which we propose in this paper, permits grammar definitions through CFG-LD (Context-Free Grammar with Lexical Dependency) that includes sequential and semantic structures of the grammars. With CFG describing the sequential structure of grammar, lexical dependencies between sentence elements can be designated in the definition system. Through the defined grammars, the implemented editor guides users' narratives in more familiar expressions with a domain-specific ontology and translates the content into RDF triples.
In ubiquitous environment, various kinds of devices such as automated appliances and sensing devices exist for providing user with convenient services. However, in order to use such devices with felicity, people should have proper knowledge how to exploit and operate it through heterogeneous interfaces. Then, to enable human user to utilize the devices easily, the integrated interface, employing them with knowledge of them at ad-hoc manner, is necessarily needed. Therefore, to generate the adaptive interface for user in the environment, we propose an adaptive user controller exploiting the representation of devices through semantic descriptions. The devices in the environment are marked up with semantic description which can offer the logic describing information resources with semantics. The controller discovers the service devices, and it constructs the interfaces dynamically using knowledge for effective arrangement and user preference adaptation. We expect the system will dynamically provide user interfaces which make users control environment continuously without spatial restrictions. In addition, it can offer complex services with multiple devices using knowledge and defined rule through simple visualized interface 1 .
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