Leveraging Ontologies for Environmental Information Systems

Abstract

Abstract. The provision of accurate, comprehensive and condensed information contained in distributed environmental information systems via public search interfaces raises several technological challenges. Our approach to tackle these challenges is based on a consequent use of ontologies. Starting with an analysis of requirements resulting from semantic search scenarios, we explain the advantages of using ontologies based on standards and aim to reuse and transform terminological systems available in the environmental domain into ontologies. We develop an architecture guided by the premise of exerting a minimum of influence on existing search infrastructures. As a consequence of using a (possibly large) number of ontologies, tools for ontology management are needed. A key argument for using ontologies is that nowadays -as an outcome of the Semantic Web initiative -very powerful processing tools are available. We elaborate ontology mapping as an example and outline how a comprehensive ontology management can be achieved.

Research on Proposals and Trends in the Architectures of Semantic Search Engines: A Systematic Literature Review

“…In the case of [12], it is even proposed that the system should be able to cover various domain models. e Handle structured, unstructured and heterogeneous data sources, mentioned by [15], [10], [16], [25], [26], [27]. This requirement is related to the diverse sources a semantic search needs to deal with.…”

“…• [15] [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27] for answering RQ3 only The following subsections present the most relevant data obtained from the selected studies. First, the general facts are analyzed, and then the research questions are answered.…”

“…• 1 study for each of the following fields: military [7], distance education [8], multimedia content [9], biology [10], biomechanics [11], audiovisual content repositories [12], source code control systems [13], culture [14], education [17], web services [21], reporting [20], Russian museums [27], environment [25], transport services [29], academic library [30], innovation processes [32], and government to government cooperation [33]. Regarding the problems to be solved by the proposed semantic search engines, it can be mentioned, as the application fields, they are diverse in nature and they could not be categorized without discarding important details from them.…”

Towards a Universal Search in Environmental Information Systems

“…Hence, a maximum of information is available for queries by target systems. A more detailed description of this semantic approach is given in [4].…”