Toward Seoul Road Sign Management on LarKC Platform
نویسندگان
چکیده
Geo Semantic Technology is evaluated as the core technology for supporting interoperability of geospatial data and building urban computing environment. We made semantic integrations of LOD's Linked Geo Data and Open Street Map with Korean POI data set, and have researched for developing intelligent road sign management system based on the LarKC platform.
منابع مشابه
Noisy Semantic Data Processing in Seoul Road Sign Management System
The Seoul Road Sign Management (RSM) is a system which provides the semantic integration of LOD’s Linked Geo Data and Open Street Map with Korean POI data set. That is an attempt to develop intelligent road sign management system based on the LarKC platform. The RSM data set contains over 1.1 billion triples of semantic data. However, significant amount of the RSM data are noisy (e.g., inconsis...
متن کاملDeveloping an Incomplete Reasoner in Five Minutes: The Large Knowledge Collider in Action
The Large Knowledge Collider (LarKC) is a prominent development platform for the Semantic Web reasoning applications. Guided by the preliminary goal to facilitate the incomplete reasoning, LarKC has evolved in a unique platform, which can be used for the development of robust, flexible, and efficient semantic web applications, also leveraging the modern grid and cloud resources. As a reaction o...
متن کاملTowards the evaluation of the LarKC Reasoner Plug-ins
In this paper, we present an initial framework of evaluation and benchmarking of reasoners deployed within the LarKC platform, a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web. We discuss the evaluation methods, measures, benchmarks, and performance targets for the plug-ins to be develo...
متن کاملInterleaving Reasoning and Selection with Semantic Data
The scalability is a crucial topic for practical applications of the Semantic Web, because of the extremely large scale data on the Web. In this paper we propose a general framework of interleaving reasoning and selection with semantic data. The main idea of the interleaving framework is to use some selectors to select only limited and relevant part of data for reasoning, so that the efficiency...
متن کاملInitial Knowledge Representation Formalism
for dissemination) This document describes a recommended knowledge representation formalism that meets the requirements of LarKC. More specifically it provides an analysis of requirements stemming from the use cases in the project and surveys the landscape of existing knowledge representation languages on the Semantic Web. Furthermore it examines systems that are able to perform inference at a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010