KEYSTONE: Semantic KEYword-based Search on sTructured data sOurcEs
As more and more structured data becomes available on the Web, and Web users shift towards a more general non-technical population, keyword searching is becoming a valuable alternative to traditional structured queries, mainly due to its simplicity and the basic knowledge required from users. Nevertheless, existing approaches suffer from a number of limitations when applied to multi-source scenarios requiring some form of query planning, and with frequent updates precluding any effective implementation of data indexes.
Typical scenarios include open data, big data and virtual data integration systems. 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 will revolutionize 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 – due to the multifaceted nature of the problem - the Action “semantic KEYword-based Search on sTructured data sOurcEs” (KEYSTONE) proposes to join synergies from several disciplines, such as semantic data management, the semantic web, information retrieval, artificial intelligence, machine learning, user interaction, service science, service design, and natural language processing.
Objectives
The main objective of the Action is to launch and establish a cooperative network of researchers, practitioners, and application domain specialists working in fields related to semantic data management, the Semantic Web, information retrieval, artificial intelligence, machine learning and natural language processing, that coordinates collaboration among them to enable research activity and technology transfer in the area of keyword-based search over structured data sources. The coordination effort will promote the development of a new revolutionary paradigm that provides users with keyword-based search capabilities for structured data sources as they currently do with documents. Furthermore, it will exploit the structured nature of data sources in defining complex query execution plans by combining partial contributions from different sources.
The main objective of the Action is complemented by the following secondary objectives:
- Promote the development of novel techniques for keyword-based search over structured data sources
- Facilitate the transfer of knowledge and technology to the scientific community, practitioners and the enterprises.
- Build a critical mass of research activities and outcomes that achieve the sustainability of the research themes beyond the Action.
Project
/research/projects/semantic-keyword-based-search-on-structured-data-sources
<p>As more and more structured data becomes available on the Web, and Web users shift towards a more general non-technical population, keyword searching is becoming a valuable alternative to traditional structured queries, mainly due to its simplicity and the basic knowledge required from users. Nevertheless, existing approaches suffer from a number of limitations when applied to multi-source scenarios requiring some form of query planning, and with frequent updates precluding any effective implementation of data indexes.</p><p>Typical scenarios include open data, big data and virtual data integration systems. 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 will revolutionize 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 – due to the multifaceted nature of the problem - the Action <i>“semantic KEYword-based Search on sTructured data sOurcEs” (KEYSTONE)</i> proposes to join synergies from several disciplines, such as semantic data management, the semantic web, information retrieval, artificial intelligence, machine learning, user interaction, service science, service design, and natural language processing.</p><p>The main objective of the Action is to launch and establish a cooperative network of researchers, practitioners, and application domain specialists working in fields related to semantic data management, the Semantic Web, information retrieval, artificial intelligence, machine learning and natural language processing, that coordinates collaboration among them to enable research activity and technology transfer in the area of keyword-based search over structured data sources. The coordination effort will promote the development of a new revolutionary paradigm that provides users with keyword-based search capabilities for structured data sources as they currently do with documents. Furthermore, it will exploit the structured nature of data sources in defining complex query execution plans by combining partial contributions from different sources.</p><p>The main objective of the Action is complemented by the following secondary objectives:</p><ul><li> Promote the development of novel techniques for keyword-based search over structured data sources</li><li>Facilitate the transfer of knowledge and technology to the scientific community, practitioners and the enterprises.</li><li>Build a critical mass of research activities and outcomes that achieve the sustainability of the research themes beyond the Action.</li> - José Ramón Ríos Viqueira
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