XML retrieval incorporates
“structured text retrieval” models, which utilized document structure and
content. The architecture of a document
correlates to a pre-conceived structure, i.e. “a section, a chapter, a title”
as explained by Baeza-Yates.
XML
single hierarchical structure is reflected to the user in associated links, in
addition to behind the scene structural makeup.
The standard language of the Web is XML, and this provides consistency
within the multitudes of websites and webpages available to the public,
reflecting commonality of relationships.
Baeza-Yates expounds stating, “Using the context [which refers to
terminology positioned within the text of the document] of an element to
estimate its relevance is nothing else than capturing relationships between
elements in XML relationships, in particular for long documents, consistently
improves retrieval performance” (Baeza-Yates, p558).
Popular
XML Query Languages are:
a)
XPATH
b)
NEXI
c)
XQuery
d)
XQuery Full-Text
Reference websites from
accredited sources for more information:
Although, different XML languages are being used for effective searching, the user interface is most important in the efficiency of the program. The user-friendly interface allows users to search effectively (they find what they are looking for) and efficiently (in the least amount of time).
The
vast number of multimedia devices (computers – desktops, laptops, tablets;
smartphones; TVs; cameras; gaming consoles; etc.) and formatted data platforms are catalysts for instantaneous
communication in our everyday lives. “Multimedia
is visual and sound data, pictures, graphs, images, videos, animations, speech,
music, sounds, and even 3D visualizations . . . Includes complex spatial and
temporal relations, derived from the life cycle of digital media – capturing,
editing, compressing, processing” (Baeza-Yates, p587). Pandora’s Box has been opened and the choices
are ever-expanding.
We
regularly used various websites to retrieve multimedia information. For instance, my blog utilizes Flickr to
retrieve the chocolate related photos, BBC website for audio podcasts, and
other websites for data retrieval. The
billions of data available for retrieval on the web are mind-boggling.
I’ve
attached a short video for your entertainment, as well as knowledge
expansion. http://www.youtube.com/watch?v=6pIzA5rxfBw
Get
some chocolate and enjoy the video!
References
Baeza-Yates, & Ribeiro-Neto. (2011). Modern
Information Retrieval. New York: Pearson Education Limited.