LDL (Linked Data in Linguistics) に関する講演会のご案内
LDL (Linked Data in Linguistics) に関して，以下の講演会を開催します．
直前のご案内となりましたが，議論にご参加いただければ幸いです．
- お問い合わせ先: 林 良彦 hayashi @ lang.osaka-u.ac.jp
- 日時: 2012年11月28日(水) 12:30 〜 14:30
- 場所: 大阪大学・言語文化研究科・2階大会議室
- 大阪大学・豊中キャンパス．下記マップの #7 の建物
- http://www.osaka-u.ac.jp/ja/access/toyonaka.html
- 講演者: Sebastian Hellmann, Joerg Unbehauen and Claus Stadler (Leipzig University, Germany)
講演内容
Part 1: Introduction to the Semantic Web
The Semantic Web is introduced by giving insight into recent developments of the LOD2 Project which aims to provide useful software tools for the Linked Data Lifecycle.
Part 2: Linked Data in Linguistics and the Linguistic Linked Open Data Cloud (LLOD)
The explosion of information technology has led to a substantial growth in quantity, diversity and complexity of web-accessible linguistic data. These resources become even more useful when published online under an open license and being interlinked with other data sets. This talk will give pointers to recent developments and present the current state of the LLOD Cloud: http://linguistics.okfn.org/resources/llod/ as well as the Open Data in Linguistics Movement and Working Group: http://linguistics.okfn.org/
Part 3: NLP Interchange Format (NIF) Version 2.0 Draft
The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The core of NIF consists of a vocabulary, which can represent Strings as RDF resources. A special URI Design is used to pinpoint annotations to a part of a document. These URIs can then be used to attach arbitrary annotations to the respective character sequence. Employing these URIs, annotations can be published on the Web as Linked Data and interchanged between different NLP tools and applications. The talk will present the current state of the standardization of NIF 2.0
Part 4: Joerg Unbehauen and Claus Stadler: R2RML and Mapping of Relational Databases to RDF and the Semantic Web
The RDB to RDF Mapping Language (R2RML) is a language to express mappings from relational databases to RDF datasets. Such mappings provide the ability to view existing relational data in the RDF data model, expressed in a structure and target vocabulary of the mapping author's choice. An mapping of relational databases into RDF allows an light-weight integration of production databases into the Linked Data Life Cycle. This presentation will focus on a system that implements R2RML and allows querying the data with SPARQL.
