我有两个问题:
1 http://en.wikipedia.org/wiki/Portal:Current_events/Sports”rel=“nofollow”http://en.wikipedia.org/wiki/Portal:Current_events/Sports。
2) 我如何能够在今后发现这种信息。 我知道固定的维基条款,我只需要强调资源。 我知道如何为上述链接中的“港口”做事。
感谢!
我有两个问题:
1 http://en.wikipedia.org/wiki/Portal:Current_events/Sports”rel=“nofollow”http://en.wikipedia.org/wiki/Portal:Current_events/Sports。
2) 我如何能够在今后发现这种信息。 我知道固定的维基条款,我只需要强调资源。 我知道如何为上述链接中的“港口”做事。
感谢!
用于Wikipedia URI的一般模式非常简单:/wiki/
by /resource/code> and
。.wikipedia.org
by .dbpedia.org
,但英文替代
实例:
http://it.wikipedia.org/wiki/Berlino
-> http://it.dbpedia.org/resource/Berlino
http://en.wikipedia.org/wiki/Berlin
-> http://dbpedia.org/resource/Berlin
(说明国际投资学会与世界投资协会之间的区别使比较复杂,但这是一个不同的问题......)
亚洲开发银行只为一些Wikipedia名称空间生成了URIs,目前仅用于主名空间和Category:
名称space,我想。 URIs for Portal:
和其他名称空间仅作为链接的目标出现(如网页_links_en.nt)。 如果开采此类非银团,它们就会发现与其他公司非常相似。 您的榜样是:
但是,把Wikipedia门户的数据URI连接起来是否有意义? 我不知道。 从这些网页上提取的数据似乎不多。 而且,它们似乎没有很好地匹配数据资源URI。 在现实世界中,这种国际投资协会通常代表一个
I am exploring how I can use Wikipedia s taxonomy information to extract Tags/Keywords from my content. I found articles about DBPedia. DBpedia is a community effort to extract structured information ...
I want to write code to query DBpedia and search for book information like author, book title, etc.. What is the prefix and which Named Graph should I use to build this SPARQL query?
I am trying to get the data from Wikipedia s infoboxes into a hash or something so that I can use it in my Ruby on Rails program. Specifically I m interested in the Infobox company and Infobox person....
Hey, i want to make a query with a zip-code to get some informations about the City. But how it works? Can someone tell me how the query must look? Greetz sheepy
I am bit new to this semantic web topic and especially DBpedia, as much as I did reading about this I could not find any information about possibility to determine weight of link between DBpedia ...
Intro: I am a BI addict and would like to develop a project to drill-down Wikipedia s data. I would write scripts to extract data from dbpedia (probably beginning by people articles) and load it into ...
If the article is about Lebron_James, then i would know it s about an athelete.
I m trying to get my head around the dbpedia JSON schema and can t figure out an efficient way of extracting a specific node: This is what dbpedia gives me: http://dbpedia.org/data/Ceramic_art.json ...