The recent release of this open-source project, LlamaFS, addresses the challenges associated with traditional file management systems, particularly in the context of overstuffed download folders, inefficient file organization, and the limitations of knowledge-based organization. These issues arise due to the manual nature of file sorting, which often leads to inconsistent structures and difficulty finding specific files. The disorganization in the file system hampers productivity and makes it challenging to locate important files quickly.
This document describes how a Dublin Core metadata description set can be encoded in HTML/XHTML <meta> and <link> elements. It is an HTML meta data profile, as defined by the HTML specification.
2012. Metadata Statistics for a Large Web Corpus
ABSTRACT
We provide an analysis of the adoption of metadata standards on the Web based a large crawl of the Web. In particular, we look at what forms of syntax and vocabularies publishers are using to mark up data inside HTML pages. We also describe the process that we have followed and the difficulties involved in web data extraction.
Abstract. In order to support web applications to understand the content of HTML pages an increasing number of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, Microformats. The annotations are used by Google, Yahoo!, Yandex, Bing and Facebook to enrich search results and to display entity descriptions within their applications. In this paper, we present a series of publicly accessible Microdata, RDFa, Microformats datasets that we have extracted from three large web corpora dating from 2010, 2012 and 2013.
J. Frey, and S. Hellmann. 13th International Conference on Semantic Systems Proceedings (SEMANTiCS 2017) - Posters & Demonstrations Track, (September 2017)
M. de la Iglesia. document | archive | disseminate graffiti-scapes. Proceedings of the goINDIGO 2022 International Graffiti Symposium, page 175-187. (2023)
S. Pandya, P. Virparia, and R. Chavda. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 5 (1):
09 - 15(February 2016)