本文主要是介绍格式化数据#3：有关逻辑推理/语义的资源，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
作者搜集的有关逻辑推理/语义的资源，最新版本请看：http://lore.chuci.info/taurenshaman/json/3b001fbce2544abb8fe8197a5f8b2a4c
{"title": "Project/Library: Logic/Semantic","items": [{"title": "Euler","description": "Euler is an inference engine supporting logic based proofs. It is a backward-chaining reasoner enhanced with Euler path detection. ","tags": "逻辑推理","language": null,"license": null,"url": "http://eulersharp.sourceforge.net/","reference": null},{"title": "RomanticWeb：.net中的RDF-对象映射库","description": "RomanticWeb is the world’s first ORM class solution for graph-based data written fully in C# that allows developers to work with the RDF data in a way the would work with any other data in an object oriented manner. This can be achieved by creating data models that can then be mapped to RDF statements in a fully transparent way. RomanticWeb is also the first solution that in conjuction with it’s mapping abilities allows to query for the data in a native .net way with LINQ. Developers can use their natural approach while working with data and objects and query for them with strongly typed queries, which are then translated into a SPARQL Protocol And RDF Query Language.","tags": "RDF; Semantic Web","language": "C#","license": "BSD","url": "http://github.com/MakoLab/RomanticWeb","reference": ["http://romanticweb.net"]},{"title": ".net下的开源RDF框架：dotNetRDF","description": "The aim of the dotNetRDF Project is to create an Open Source .Net Library using the latest versions of the .Net Framework to provide a powerful and easy to use API for working with RDF, SPARQL and the Semantic Web. Our primary aim is to provide an effective way for working with reasonable amounts of RDF in .Net.","tags": "RDF; Semantic Web","language": "C#","license": "MIT","url": "https://bitbucket.org/dotnetrdf/dotnetrdf","reference": ["http://www.dotnetrdf.org/"]},{"title": "SemWeb","description": "SemWeb is a .NET library for working with Resource Description Framework (RDF) data. It provides classes for reading, writing, manipulating, and querying RDF.","tags": "RDF","language": "C#","license": null,"url": "http://razor.occams.info/code/semweb/","reference": null},{"title": "Redland RDF Application Framework","description": "The Redland RDF Application Framework is a set of free software libraries that provide support for RDF. It provides parser for RDF/XML, Turtle, N-triples, Atom, RSS; has a SPARQL and GRDDL implementation, and has language interfaces to C#, Python, Obj-C, Perl, PHP, Ruby, Java and Tcl","tags": "RDF; Turtle","language": null,"license": null,"url": "http://librdf.org/","reference": null},{"title": "Python的自然语言工具包NLTK（Natural Language Toolkit）","description": "NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, and an active discussion forum.","tags": "natural language processing; text analytics","language": "Python","license": "Apache License Version 2.0","url": "https://github.com/nltk/nltk","reference": ["http://www.nltk.org/"]},{"title": "LinqToRdf","description": "LinqToRdf is a Semantic Web framework for .NET. It provides an easy way to integrate Semantic Web queries into your software. At the core of the system sits a LINQ query provider (like LINQ to SQL) that converts your queries into the SPARQL query language. You don't have to know that much SPARQL or RDF to be able to use it. It also provides a UML-style design surface allowing you to create RDF files, and to generate compatible C# code to work with the RDF.","tags": "LINQ; RDF","language": "C#","license": null,"url": "http://code.google.com/p/linqtordf/","reference": null},{"title": "雅虎的开源语义数据Web爬虫：Anthelion","description": "Anthelion is a plugin for Apache Nutch to crawl semantic annotations within HTML pages. Anthelion是为了更好地爬取嵌在HTML页面中的结构化数据而设计的，它采用了一种全新的方法来爬取含有丰富数据的页面上的内容：将线上学习和Bandit探索方法有效地结合起来，根据页面上下文以及从之前页面提取到的元数据反馈预测Web页面的数据丰富程度。 这种方法明显优于主题爬取（Focused Crawling）目前所采用的其他技术，极大地提升了爬取效率。","tags": "雅虎; 语义数据; Web爬虫","language": "Java","license": "Apache License Version 2.0","url": "https://github.com/yahoo/anthelion","reference": ["https://labs.yahoo.com/publications/6702/focused-crawling-structured-data"]},{"title": "语义网本体翻译计划","description": "Storing ontologies/vocabularies from the web. Wish anybody can translate some of them.","tags": "语义网; 本体","language": "RDF; Turtle","license": null,"url": "https://github.com/taurenshaman/semantic-web","reference": null},{"title": "语义图片（Semantic Image）","description": "A tool to write/read semantic information to images.","tags": "pngcs","language": "C#","license": null,"url": "https://github.com/taurenshaman/SemanticImage","reference": null},{"title": "微软的牛津计划","description": "微软牛津计划提供一组基于REST架构的API和SDK工具包，帮助开发者轻轻松松使用微软的自然数据理解能力为自己的解决方案增加智能服务。","tags": "SDK; API","language": null,"license": null,"url": "https://cn.projectoxford.ai","reference": null},{"title": "Open AI","description": "OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact. We believe AI should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible. The outcome of this venture is uncertain and the work is difficult, but we believe the goal and the structure are right. We hope this is what matters most to the best in the field.","tags": "non-profit artificial intelligence research company","language": null,"license": null,"url": "https://openai.com","reference": null},{"title": "楚辞","description": "基于语义网的中文开放知识平台","tags": "中文; 语义; 知识平台","language": null,"license": null,"url": "http://www.chuci.info","reference": null},{"title": "Semantic Web","description": "In addition to the classic “Web of documents” W3C is helping to build a technology stack to support a “Web of data,” the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term “Semantic Web” refers to W3C’s vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS.","tags": "W3C; RDF; SPARQL; OWL; SKOS","language": null,"license": null,"url": "http://www.w3.org/standards/semanticweb/","reference": null},{"title": "DOAP","description": "Description of a project","tags": "DOAP","language": null,"license": null,"url": "http://trac.usefulinc.com/doap","reference": null}],"template": "bookmark"
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