Structured data is picking up on the Web, particularly in the search
world. Schema.org, jointly initiated by Google, Microsoft, and Yahoo!
provides a hierarchical set of vocabularies to embed metadata in
HTML pages for an enhanced search and browsing experience. RDFa-Lite,
Microdata and JSON-LD as lower semantic techniques have gained more
attention by Web users to markup Web pages and even emails based
on Schema.org. However, from the user interface point of view, we
still lack user-friendly tools that facilitate the process of structured
content authoring. The majority of information still is contained
in and exchanged using unstructured documents, such as Web pages,
text documents, images and videos. This can also not be expected
to change, since text, images and videos are the natural way how
humans interact with information. In this paper we present RDFaCE
as an implementation of WYSIWYM (What-You-See-Is-What-You-Mean) concept
for direct manipulation of semantically structured content in conventional
modalities. RDFaCE utilizes on-the-fly form generation based on Schema.org
vocabulary for embedding metadata within Web documents. Furthermore,
it employs external NLP services to enable automatic annotation of
entities and to suggest URIs for entities. RDFaCE is written as a
plugin for TinyMCE WYSIWYG editor thereby can be easily integrated
into existing content management systems.
%0 Generic
%1 khalili2013wysiwym
%A Khalili, Ali
%A Auer, Sören
%B Web Information Systems Engineering -- WISE 2013
%D 2013
%E Lin, Xuemin
%E Manolopoulos, Yannis
%E Srivastava, Divesh
%E Huang, Guangyan
%I Springer Berlin Heidelberg
%K 2013 auer event_wise group_aksw khalili peer-reviewed rdface
%P 425--438
%R 10.1007/978-3-642-41154-0_32
%T WYSIWYM authoring of structured content based on Schema.org
%U http://dx.doi.org/10.1007/978-3-642-41154-0_32
%V 8181
%X Structured data is picking up on the Web, particularly in the search
world. Schema.org, jointly initiated by Google, Microsoft, and Yahoo!
provides a hierarchical set of vocabularies to embed metadata in
HTML pages for an enhanced search and browsing experience. RDFa-Lite,
Microdata and JSON-LD as lower semantic techniques have gained more
attention by Web users to markup Web pages and even emails based
on Schema.org. However, from the user interface point of view, we
still lack user-friendly tools that facilitate the process of structured
content authoring. The majority of information still is contained
in and exchanged using unstructured documents, such as Web pages,
text documents, images and videos. This can also not be expected
to change, since text, images and videos are the natural way how
humans interact with information. In this paper we present RDFaCE
as an implementation of WYSIWYM (What-You-See-Is-What-You-Mean) concept
for direct manipulation of semantically structured content in conventional
modalities. RDFaCE utilizes on-the-fly form generation based on Schema.org
vocabulary for embedding metadata within Web documents. Furthermore,
it employs external NLP services to enable automatic annotation of
entities and to suggest URIs for entities. RDFaCE is written as a
plugin for TinyMCE WYSIWYG editor thereby can be easily integrated
into existing content management systems.
%@ 978-3-642-41153-3
@conference{khalili2013wysiwym,
abstract = {Structured data is picking up on the Web, particularly in the search
world. Schema.org, jointly initiated by Google, Microsoft, and Yahoo!
provides a hierarchical set of vocabularies to embed metadata in
HTML pages for an enhanced search and browsing experience. RDFa-Lite,
Microdata and JSON-LD as lower semantic techniques have gained more
attention by Web users to markup Web pages and even emails based
on Schema.org. However, from the user interface point of view, we
still lack user-friendly tools that facilitate the process of structured
content authoring. The majority of information still is contained
in and exchanged using unstructured documents, such as Web pages,
text documents, images and videos. This can also not be expected
to change, since text, images and videos are the natural way how
humans interact with information. In this paper we present RDFaCE
as an implementation of WYSIWYM (What-You-See-Is-What-You-Mean) concept
for direct manipulation of semantically structured content in conventional
modalities. RDFaCE utilizes on-the-fly form generation based on Schema.org
vocabulary for embedding metadata within Web documents. Furthermore,
it employs external NLP services to enable automatic annotation of
entities and to suggest URIs for entities. RDFaCE is written as a
plugin for TinyMCE WYSIWYG editor thereby can be easily integrated
into existing content management systems.},
added-at = {2017-01-27T23:28:47.000+0100},
author = {Khalili, Ali and Auer, S{\"o}ren},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-41154-0_32},
biburl = {https://www.bibsonomy.org/bibtex/23226c8c2fda91bff4da5badd1588f9b0/soeren},
booktitle = {Web Information Systems Engineering -- WISE 2013},
doi = {10.1007/978-3-642-41154-0_32},
editor = {Lin, Xuemin and Manolopoulos, Yannis and Srivastava, Divesh and Huang, Guangyan},
interhash = {0a8d64c53e0a6910aa7a9b612066bb95},
intrahash = {3226c8c2fda91bff4da5badd1588f9b0},
isbn = {978-3-642-41153-3},
keywords = {2013 auer event_wise group_aksw khalili peer-reviewed rdface},
pages = {425--438},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2017-01-27T23:30:12.000+0100},
title = {WYSIWYM authoring of structured content based on Schema.org},
url = {http://dx.doi.org/10.1007/978-3-642-41154-0_32},
volume = 8181,
year = 2013
}