The KEYSTONE IC1302 COST Action
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Date
2018Author
Guerra, Francesco
Velegrakis, Yannis
Cardoso, Jorge
Breslin, John G.
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Guerra, Francesco , Velegrakis, Yannis , Cardoso, Jorge , & Breslin, John G. . (2018). The KEYSTONE IC1302 COST Action. In Julian Szymański & Yannis Velegrakis (Eds.), Semantic Keyword-Based Search on Structured Data Sources, Third International KEYSTONE Conference, IKC 2017, Gdańsk, Poland, September 11-12, 2017, Revised Selected Papers and COST Action IC1302 Reports: Springer International Publishing.
Abstract
As more and more data becomes available on the Web, as
its complexity increases and as the Web’s user base shifts towards a
more general non-technical population, keyword searching is becoming
a valuable alternative to traditional SQL queries, mainly due to its simplicity
and the lower effort/expertise it requires. Existing approaches suffer
from a number of limitations when applied to multi-source scenarios
requiring some form of query planning, without direct access to database
instances, and with frequent updates precluding any effective implementation
of data indexes. Typical scenarios include Deep Web databases,
virtual data integration systems and data on the Web. Therefore, building
effective keyword searching techniques can have an extensive impact
since it allows non-professional users to access large amounts of information
stored in structured repositories through simple keyword-based
query interfaces. This revolutionises the paradigm of searching for data
since users are offered access to structured data in a similar manner to
the one they already use for documents. To build a successful, unified
and effective solution, the action “semantic KEYword-based Search on
sTructured data sOurcEs” (KEYSTONE) promoted synergies across several
disciplines, such as semantic data management, the Semantic Web,
information retrieval, artificial intelligence, machine learning, user interaction,
interface design, and natural language processing. This paper
describes the main achievements of this COST Action.