Archaeotools: Data mining, facetted classification and E-archaeology
Archaeotools:数据挖掘、多面分类和电子考古学
基本信息
- 批准号:AH/E006175/1
- 负责人:
- 金额:$ 41.01万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2007
- 资助国家:英国
- 起止时间:2007 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project builds upon previous work to develop tools which will allow archaeologists to share and analyse datasets and publications within a collaborative environment. It has three interrelated objectives, each represented by a distinct workpackage.The first aim is to index the ADS/ AHDS Archaeology structured database of over one million metadata records describing sites and monuments in the British Isles, according to three criteria: When, What and Where. The project will use techniques of facetted classification, derived from information science, to allow users to navigate the three-dimensional space thereby created, allowing them to explore the data sets held in the three-dimensional space, and to make links between specific records. A map-based interface will be developed to allow the spatial dimension to be best explored.Secondly the project will employ techniques of natural language processing to allow automated tools to search within documents for terms which are part of known classification schemes, adding them to the facetted index, and providing much deeper and richer access to unpublished archaeological literature. Although this literature forms the primary record of most archaeological investigation within the UK, the level of scholarly and public access has hitherto been severely curtailed, imposing a major constraint on archaeological research. Tools will also be employed which will allow users to impose their own classifications and index the documents according to their own criteria, adding further user-defined dimensions to the classification.Thirdly, these tools will also be employed to investigate whether it is also possible to identify and harvest index terms within older antiquarian literature as represented by back runs of archaeological journals currently being digitised and being made available online. As site reports in this older literature rarely give precise geospatial coordinates it will be necessary to investigate if natural language processing will allow the recognition and harvesting of place names. If this is achievable then the placenames can be supplied to existing software which can look up the names in an online gazetteer of names and return precise grid coordinates which can be added to the index.At the end of the project we will have created a major sustainable resource for archaeological research and made it available to all users via AHDS Archaeology. It will also be possible to make recommendations for the future format and indexing of grey literature, and to draw lessons for the wider humanities e-Science community.
该项目以先前的工作为基础,开发工具,使考古学家能够在协作环境中共享和分析数据集和出版物。它有三个相互关联的目标,每个目标都由一个不同的工作包表示。第一个目标是根据三个标准对ADS/ AHDS考古结构化数据库进行索引,该数据库包含超过100万条描述不列颠群岛遗址和古迹的元数据记录:时间、内容和地点。该项目将利用信息科学中的分面分类技术,使用户能够在由此创建的三维空间中导航,探索三维空间中的数据集,并在具体记录之间建立联系。将开发一个以地图为基础的界面,以便最好地探索空间维度,第二,该项目将采用自然语言处理技术,使自动化工具能够在文件中搜索属于已知分类方案一部分的术语,将其添加到分面索引中,并提供更深入和更丰富的未出版考古文献。虽然这些文献构成了英国境内大多数考古调查的主要记录,但学术和公众访问的水平迄今为止一直受到严重限制,对考古研究造成了重大限制。还将采用一些工具,使用户能够按照自己的标准对文件进行分类和编制索引,从而为分类增加用户定义的更多方面。这些工具还将用于调查是否也有可能在较旧的古物文献中识别和获取索引术语,这些文献以目前正在数字化和制作的考古期刊的回溯为代表。可在线获取。由于这些较老的文献中的现场报告很少提供精确的地理空间坐标,因此有必要调查自然语言处理是否能够识别和收集地名。如果这是可以实现的,那么地名可以提供给现有的软件,该软件可以在地名的在线地名录中查找地名,并返回可以添加到索引中的精确网格坐标。在项目结束时,我们将为考古研究创建一个主要的可持续资源,并通过AHDS考古学提供给所有用户。它也将有可能为灰色文献的未来格式和索引提出建议,并为更广泛的人文电子科学界吸取教训。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Archaeology 2.0 and Beyond: New Tools for Collaboration and Communication
考古学 2.0 及更高版本:协作和沟通的新工具
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:Professor Julian Richards (Author)
- 通讯作者:Professor Julian Richards (Author)
The Archaeotools project: faceted classification and natural language processing in an archaeological context
- DOI:10.1098/rsta.2009.0038
- 发表时间:2009-06-28
- 期刊:
- 影响因子:5
- 作者:Jeffrey, S.;Richards, J.;Zhang, Z.
- 通讯作者:Zhang, Z.
Archaeology 2.0: New Tools For Communication and Collaboration
考古学 2.0:沟通与协作的新工具
- DOI:
- 发表时间:2012
- 期刊:
- 影响因子:0
- 作者:Kansa, Eric C.;Kansa, Sarah Whitcher;Watrall, Ethan
- 通讯作者:Watrall, Ethan
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Julian Richards其他文献
Web-based visualization for 3D data in archaeology: The ADS 3D viewer
- DOI:
10.1016/j.jasrep.2016.06.045 - 发表时间:
2016-10-01 - 期刊:
- 影响因子:
- 作者:
Fabrizio Galeazzi;Marco Callieri;Matteo Dellepiane;Michael Charno;Julian Richards;Roberto Scopigno - 通讯作者:
Roberto Scopigno
Archaeology: Stonehenge comes alive
考古学:巨石阵焕发生机
- DOI:
10.1038/307112a0 - 发表时间:
1984-01-12 - 期刊:
- 影响因子:48.500
- 作者:
Julian Richards - 通讯作者:
Julian Richards
Julian Richards的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Julian Richards', 18)}}的其他基金
ADS infrastructure IDAH funding 2023-2025
ADS 基础设施 IDAH 资助 2023-2025
- 批准号:
AH/Y007441/1 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Research Grant
Archaeology Data Service DRI Strand A 2021-22
考古数据服务 DRI Strand A 2021-22
- 批准号:
AH/W007126/1 - 财政年份:2021
- 资助金额:
$ 41.01万 - 项目类别:
Research Grant
Making it FAIR: understanding the lockdown 'digital divide' and the implications for the development of UK digital infrastructures
使其公平:了解封锁“数字鸿沟”以及对英国数字基础设施发展的影响
- 批准号:
AH/V015540/1 - 财政年份:2021
- 资助金额:
$ 41.01万 - 项目类别:
Research Grant
ADS+: Enhancing and Sustaining the Archaeology Data Service digital repository
ADS:增强和维持考古数据服务数字存储库
- 批准号:
AH/H036768/1 - 财政年份:2010
- 资助金额:
$ 41.01万 - 项目类别:
Research Grant
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研究基金项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
基于Linked Open Data的Web服务语义互操作关键技术
- 批准号:61373035
- 批准年份:2013
- 资助金额:77.0 万元
- 项目类别:面上项目
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
- 批准号:31070748
- 批准年份:2010
- 资助金额:34.0 万元
- 项目类别:面上项目
高维数据的函数型数据(functional data)分析方法
- 批准号:11001084
- 批准年份:2010
- 资助金额:16.0 万元
- 项目类别:青年科学基金项目
染色体复制负调控因子datA在细胞周期中的作用
- 批准号:31060015
- 批准年份:2010
- 资助金额:25.0 万元
- 项目类别:地区科学基金项目
Computational Methods for Analyzing Toponome Data
- 批准号:60601030
- 批准年份:2006
- 资助金额:17.0 万元
- 项目类别:青年科学基金项目
相似海外基金
FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining
FightAMR:利用人工智能和大数据挖掘对抗 AMR 的新型全球统一健康监测方法
- 批准号:
MR/Y034422/1 - 财政年份:2024
- 资助金额:
$ 41.01万 - 项目类别:
Research Grant
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
BIGDATA:IA:协作研究:用于多站点协作大脑大数据挖掘的异步分布式机器学习框架
- 批准号:
2348159 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Standard Grant
Travel: Student Support for the 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
旅行:2023 年 ACM SIGKDD 知识发现和数据挖掘会议 (KDD 2023) 的学生支持
- 批准号:
2323492 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Standard Grant
TRANSFORMATIVE TECHNOLOGIES - Mining for the best side of bioscience data, with machine learning
变革性技术 - 通过机器学习挖掘生物科学数据的最佳一面
- 批准号:
2890716 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Studentship
Integrative Data Science Approach to Advance Care Coordination of ADRD by Primary Care Providers
综合数据科学方法促进初级保健提供者对 ADRD 的护理协调
- 批准号:
10722568 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Accessing and Expanding Natural Products Chemical Diversity by Big-data Analysis and Biosynthetic Investigation
通过大数据分析和生物合成研究获取和扩大天然产物化学多样性
- 批准号:
10714466 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Travel: III: Student Travel Support for 2023 ACM International Conference on Web Search and Data Mining (WSDM)
差旅:III:2023 年 ACM 网络搜索和数据挖掘国际会议 (WSDM) 学生差旅支持
- 批准号:
2245056 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Standard Grant
Collaborative Research: Quantifying the Global Electric Circuit by Data Mining of Electric Field and Radar Observations from Ground Based, Airborne and Satellite Platforms
合作研究:通过地面、机载和卫星平台的电场和雷达观测数据挖掘来量化全球电路
- 批准号:
2328464 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:
Standard Grant
SUD-t Map: A Big Data Digital Platform to Identify and Characterize SUD Treatment Opportunities to Address Health Disparities
SUD-t 地图:一个大数据数字平台,用于识别和描述 SUD 治疗机会,以解决健康差异
- 批准号:
10594828 - 财政年份:2023
- 资助金额:
$ 41.01万 - 项目类别:














{{item.name}}会员




