排序方式： 共有10条查询结果，搜索用时 31 毫秒
1
1.
本文采用Protégé本体开发平台将五元组模型的位置服务上下文计算本体形式化,使其在JADE环境下应用成为可能。首先通过介绍位置服务上下文计算应用的国内外发展现状,引出本体形式化问题。然后应用五元组模型进行位置服务上下文信息建模。建模后抽象出的位置服务上下文计算本体符合FIPA-ACL规范,使不同的信息在Agent之间进行交换,从而实现形式化本体在计算机系统之间的交流。最后,我们将采用Protégé平台定义的ContextOntology形式化本体通过Ontology Bean Generator插件将其导出为Java类,使其在JADE平台下得以应用。 相似文献
2.
Susanne Bleisch Matt Duckham Antony Galton Patrick Laube Jarod Lyon 《International journal of geographical information science》2014,28(2):363-382
In many applications, the environmental context for and drivers of movement patterns are just as important as the patterns themselves. This article adapts standard data mining techniques, combined with a foundational ontology of causation, with the objective of helping domain experts identify candidate causal relationships between movement patterns and their environmental context. In addition to data about movement and its dynamic environmental context, our approach requires as input definitions of the states and events of interest. The technique outputs causal and causal-like relationships of potential interest, along with associated measures of support and confidence. As a validation of our approach, the analysis is applied to real data about fish movement in the Murray River in Australia. The results demonstrate that the technique is capable of identifying statistically significant patterns of movement indicative of causal and causal-like relationships. 相似文献
3.
Sepehr Honarparvar Rouzbeh Forouzandeh Jonaghani Ali Asghar Alesheikh Behnam Atazadeh 《国际地球制图》2013,28(13):1496-1513
AbstractRecommender systems (RS), as supportive tools, filter information from a massive amount of data based on the determined preferences. Most of the RS require information about the context of users such as their locations. In such cases, location-aware recommender systems (LARS) can be employed to suggest more personalized items to the users. The most current research projects on LARS focus on the development of algorithms, evaluation methods and applications. However, the role of up-to-date spatial databases in LARS is not a well-researched area. The up-to-date spatial information would potentially improve the accuracy of items which are recommended by LARS. Volunteered geographic information (VGI) could be a low-cost source of up-to-date spatial information for LARS. This article proposes an approach to enrich spatial databases of LARS by VGI. Since not all records of VGI are fitted for use in LARS, a mechanism is developed to identify useful information. Some VGI data sets refer to existing spatial data in the database while other VGI data sets are shared for the first time. Therefore, the proposed method assessed the quality of VGI with reference source (for VGI which is existed in the database) and VGI without reference source (for VGI which is shared for the first time). To demonstrate the feasibility of the proposed approach, a mobile application has been developed to recommend suitable restaurants to the users based on their geospatial locations. The evaluation of the method indicates that VGI can potentially enhance the functionality of the LARS in predicting the users’ interests. 相似文献
4.
A context-aware personalized travel recommendation system based on geotagged social media data mining 总被引：1，自引：0，他引：1
Abdul Majid Gencai Chen Hamid Turab Mirza Ibrar Hussain John Woodward 《International journal of geographical information science》2013,27(4):662-684
The proliferation of digital cameras and the growing practice of online photo sharing using social media sites such as Flickr have resulted in huge volumes of geotagged photos available on the Web. Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geotagged photos, we propose a new method for recommending tourist locations that are relevant to users (i.e., personalization) in the given context (i.e., context awareness). We obtain user-specific travel preferences from his/her travel history in one city and use these to recommend tourist locations in another city. Our technique is illustrated on a sample of publicly available Flickr dataset containing photos taken in various cities of China. Results show that our context-aware personalized method is able to predict tourists' preferences in a new or unknown city more precisely and generate better recommendations compared to other state-of-the-art landmark recommendation methods. 相似文献
5.
环境感知应用系统广泛应用在工业生产、日常生活等领域.本文主要研究环境感知应用系统中的数据收集、安全传输和安全管理等技术,提出了环境感知应用系统架构图,包括环境数据采集单元、数据传输网络及云数据中心,从数据的收集、传输、存储、应用、管理等多个方面保护环境数据的安全性.首先,本文阐述了数据在环境感知应用系统中的收集和传输流程,然后,分析数据从环境数据源传输到现场控制单元,再接入互联网传输到云数据中心采用的安全传输方式.最后,研究了可应用于云数据中心的多种安全防护方法以保护数据安全,包括敏感数据加密、数据隔离、访问控制、权限管理、审计日志、备份恢复等. 相似文献
6.
在位置服务领域,用户所处环境的上下文信息在分析、处理请求,以及推送相应的位置信息服务方面发挥着至关重要的作用。目前,如何存储和管理上下文位置信息缺乏统一的模型和标准,本文对此提出了一种全新的位置服务的上下文信息模型。利用User Context（< User >,< Time >,< Location >,< Surroundings >,< Demand >）5元素模型描述位置服务上下文信息中5个信息元素（用户信息、时间信息、位置信息、环境信息、用户需求信息）,这5个信息元素均是直接因素,彼此独立且获取方便,人为干预少;同时,利用数据库技术可将5元素模型抽象成5元素表形式存储于数据表中,以便高效检索。最后,通过分析5元素模型中的不同信息元素,可推理出基于搜索关键词的用户需求偏好及基于时间和位置信息的用户轨迹（用户行为、热点区域、用户兴趣）。 相似文献
7.
计算技术的发展需要与之相适应的计算模式。经过几十年的发展,计算范式经历了三次转变:中心式计算、分布式计算和移动式计算,并向普适计算迈进。不同的计算范式孕育了不同的制图模式,地图制图模式也经历了三次转变:单机版的计算机地图制图、网络地图制图和移动地图制图,并向普适地图制图的模式改变。普适地图制图是普适计算技术在地图制图领域的应用,是普适计算与地图制图相结合的产物,它的出现给地图制图带来了一场新的革命。在分析国内外相关文献的基础上,阐述了普适地图制图的概念,重点介绍了普适地图制图的主要研究内容和关键技术,为今后普适地图制图的研究提供了一定的指导意义,具有较好的参考价值。 相似文献
8.
9.
10.
Mariam Daoud 《International journal of geographical information science》2013,27(8):1530-1549
The explosive growth of geographic and temporal data has attracted much attention in information retrieval (IR) field. Since geographic and temporal information are often available in unstructured text, the IR task becomes a non-straightforward process. In this article, we propose a novel geo-temporal context mining approach and a geo-temporal ranking model for improving the search performance. Queries target implicitly ‘what’, ‘when’ and ‘where’ components. We model geographic and temporal query-dependent frequent patterns, called contexts. These contexts are derived based on extracting and ranking geographic and temporal entities found in pseudo-relevance feedback documents. Two methods are proposed for inferring the query-dependent contexts: (1) a frequency-based statistical approach and (2) a frequent pattern mining approach using a support threshold. The derived geographic and temporal query contexts are then exploited into a probabilistic ranking model. Finally, geographic, temporal and content-based scores are combined together for improving the geo-temporal search performance. We evaluate our approach on the New York Times news collection. The experimental results show that our proposed approach outperforms significantly a well-known baseline search, namely the probabilistic BM25 ranking model and state-of-the-art approaches in the field as well. 相似文献
1