Trend analysis of technologies supporting the availability of on-line content: from key word-based search to the semantic web

Lengyelné Molnár, Tünde (2020) Trend analysis of technologies supporting the availability of on-line content: from key word-based search to the semantic web. ACTA Communicatio, 7. ISSN ISSN 2393-0438 (In Press)

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Abstract

The era of the web 1.0 implied the connection of web-based documents via links, which enabled search engines to scan for information and guarantee the search and availability of webpages. The web 2.0 represented the next evolutionary stage. Known as the collaborative web, the emphasis in this case was on the establishment of services and contents by the community. Search options were complemented with labelling and frequently undesirable clickstream analysis coupled with push technology-supported information provision. The semantic web is a revolutionary development, which in addition to processing information by humans assures the readability of data sets by machines and facilitates communication between devices. In order to promote data and information processing by machines the semantic web relies on a special ontology allocating the respective meaning to the given data along with relying on the global indexing and naming schemes of the web. Several ontologies emerged with differing basic guidelines while displaying compatibility to the RDF standard ranging from the more semantic description of bibliographical data in libraries to the description of information gained from social networks and human conversations. While the web 3.0 is often used interchangeably with the semantic web, the web 3.0 with is intelligent server function exceeds that of the semantic web. We have to ask ourselves, however, whether we can rely on the accuracy of the obtained data and we must explore what progress have libraries—expected to increase reliability—made regarding the implementation of semantic data storage.

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