Sprylogics Semantic Search Technology to be integrated into 2ya for
Facebook Chat Application
TORONTO,
Jan. 21, 2013 /CNW/ - Sprylogics
International (TSXV: SPY), ("Sprylogics" or "the Company")
announced today that its semantic search technology will be
integrated into its chat and search application, 2ya for Facebook
in the coming weeks. The Company's proprietary semantic
search technology will be integrated into both the IOS and Android
versions of the 2ya application, both of which are currently
available for download internationally.
Over the last year, the Company has concentrated
on evolving its semantic technology into an answer engine that can
be easily embedded within mobile applications. To support this
initiative, the technology leverages numerous sources of
information, including wikipedia/dbpedia, freebase as well as
sources of general knowledge that are available in
unstructured repositories across the web. This modelling of human
language has been applied both to input queries as well as to the
understanding of unstructured information in order to best provide
explicit answers to questions. The first examples of this
technology were tested and then unveiled to the public last year
through our private beta of the ask.cluuz.com engine.
Unlike several other voice assistant
applications, the Company's answer engine does not depend on
external APIs for answers to general questions. Instead, answers
are derived either from semantic databases housed on the Company's
own servers, or through the Natural Language Processing (NLP) of
content obtained directly from web search results. This approach is
intended to result in a high degree of accuracy across a wide
breadth of general knowledge questions, which has been initially
validated through internal comparisons against the results from
multiple, publicly available answer engines.
Most recently the Company has concentrated on
expanding the types of questions that the solution can reliably and
accurately provide answers for. First, the Company implemented
support for well defined problems such as mathematical expressions,
as well as times in various locales and currency conversion.
In addition, the Company has concentrated on two
additional domains: food and movies. These two particular verticals
are of significance in that they are commonly required in planning
of events and consequently have been prioritized to be featured as
part of our 2ya, messaging applications' embeddable technology.
The Company's recent breakthroughs, have
resulted in a highly compelling and differentiated natural language
answer engine for the movie vertical. Answers about current movies
are provided based on movie synopsis, actors, directors, producers,
theatres and other available information. The Company continues to
expand the engine to handle queries about older movies, academy
awards, movie quotes and other data elements. The Company's
objective is to leverage this ability to answer these types of
complex (yet commonly required) queries about movies to drive
higher usage, engagement and ultimately revenue of the applications
of the Company's and its partners.
Management believes that recent progress in
tackling some of the hardest computer science problems in the
world, namely, understanding human language and generating answers
based on publicly available knowledge to end users. is due in part
to rigorously following a methodology of beginning with general
knowledge and then expanding to more in-depth verticals. Additional
verticals will include videos, images, sports, and financials with
the goal of being able to match categories that users can currently
discover information in the 2ya messaging application.
The Company believes that the current solution
is differentiated from Facebook's recently announced graph search.
The answer engine is focussed on answering questions related
to general facts about the world, without requiring votes by a
community to understand "who starred in which movie?" or "what is
the closest restaurant that serves a specific dish?" or "who was
the first person on moon?" or "what the score in the game last
night was?"
The announced Facebook graph search appears to
be based on personal information and may be useful for queries that
are an expression of personal tastes. This is a very
promising and exciting announcement in search, which is
complementary and not competitive to the Company's focus on
leveraging semantic technology to improve general knowledge search.
Facebook has expressed an interest in working with any search
company willing to respect the privacy of people on Facebook.
Sprylogics has a history of respecting the privacy of all
users and will continue to look for opportunities for additional
and deeper integration with the Facebook platform.
About Sprylogics
Sprylogics International develops advanced search and analysis
technology. The patent pending technology platform uses
Semantic and Machine Learning techniques to process, analyze and
interpret unstructured data including real time conversation, in
order to extract key sentiments, facts, user interests and intent.
The technology platform is currently being used to develop
innovative solutions related to search and discovery of products
and places on mobile devices. Find out more at www.sprylogics.com
or www.2ya.it
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Cautionary and Forward-looking Statements
- Statements contained in this news release which are not
historical facts are forward-looking statements that involve risk,
uncertainties and other factors that could cause actual results to
differ materially from those expressed or implied by such
forward-looking statements. There can be no assurance that
such statements will prove to be accurate and actual results and
future events could differ materially from those anticipated in
such statements. All forward-looking statements included in
this news release are based on information available to the Company
on the date hereof. The Company assumes no obligation to
update any forward-looking statements, except as required by
applicable securities laws.
SOURCE Sprylogics International Corp.