Representation and Distribution of Geospatial Knowledge
نویسنده
چکیده
Introduction Our project is concerned mainly with knowledge representation and the markup of information for webrelated uses, and potential applications of such markup. In particular, we are developing taxonomies of certain subsets of maritime information, using these taxonomies to develop markup vocabularies for these subsets, and developing sample applications (e.g., for information retrieval) using this markup. We focused in the first instance on XML markup representation and applications, while allowing for a future transition to semantic web technologies. The project idea pre-dated OWL (Web Ontology Language) and even DAML (DARPA Agent Markup Language) – at the time the project commenced, RDF was the most recent Web technology related to knowledge representation. Our primary government partner was the U.S.Coast Guard; we have also discussed project products with other federal agencies.
منابع مشابه
Image Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کاملA Framework for Developing Web-Service-Based Intelligent Geospatial Knowledge Systems
1082-4006/05/1101-24$5.00 ©2005 The International Association of Chinese Professionals in Geographic Information Science (CPGIS) Abstract This paper discusses an interoperable system framework for developing web-service-based intelligent geospatial knowledge systems. This type of systems facilitates personalized, on-demand geospatial information or knowledge discovery and dissemination. The sys...
متن کاملNeuron Mathematical Model Representation of Neural Tensor Network for RDF Knowledge Base Completion
In this paper, a state-of-the-art neuron mathematical model of neural tensor network (NTN) is proposed to RDF knowledge base completion problem. One of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. For this reason, a new representation of this network is suggested that solves this difficulty. In the representation, th...
متن کاملDeveloping a Model Based on Geospatial Information Systems (GIS) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Providing the Spatial Distribution Map of Landslide Risk. Case Study: Alborz Province
Landslide is one of these natural hazards which causes a great amount of financial and human damage annually allover the world. Accordingly, identification of areas with landslide threat for implementation of preventive measures in order to confront against the instability of hillsides for reduction of potential threats and related risks is very important. In this research a new method for clas...
متن کاملVISUALIZATION OF GEOSPATIAL INFORMATION FOR SUSTAINABLE DEVELOPMENT DECISION MAKING Siekierska
Visualization refers to various types of graphic representation of geospatial information ranging from static to dynamic presentation (cartographic visualization), to exploratory data analysis (scientific visualization). Visualization projects carried out by Natural Resources Canada focus primarily on the former: web-based, interactive, dynamic representation of information, suitable for effect...
متن کاملManufacturing Firm Size Distribution in Iran Evidence from Food & Beverages and Non-Metallic Mineral Products
Empirical studies have shown that the size distribution of firms can be described as a lognormal or Pareto distribution. However, these studies have focused on developed countries and little attention has been devoted to developing countries. Using the variable of number of employees as a measure of firm size, this paper investigates the shape of firm size distribution in the food & beverages i...
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 2004