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Personalized concept-based search on the linked open data
Sah M., Wade V. Journal of Web Semantics36 32-57,2016.Type:Article
Date Reviewed: Jun 9 2016

Having closely followed the various success stories paving the way for the future web, many controversial discussions and opinions emerged about the existence of the semantic web during the last decade. With its takeoff being expected and anticipated in the past many times, partly hampered by the human effort required in adequately describing web resources as well as the lack of intelligent techniques for the automatic extraction of descriptions, it was only recently that the interest in the semantic web was revived after the explosion of the linked open data (LOD) project.

Even within this context, however, inherited heterogeneity in descriptions and publications of data hampered reusability and linking across resources comprising the LOD graph and therefore the envisioned web of data (WoD). This is partly attributed to human nature and factors, since many different views coexist about the interpretation of artifacts, data, and concepts. It is, however, also attributed to the notorious lack of adequate search engines capable of assisting in the discovery process of semantically similar descriptions of things across many different resource description framework (RDF) triples and repositories. The significance of a user-friendly and easy-to-use discovery process is underpinned by the fact that it is crucial for the sake of reusability and cross-referencing among different RDF repositories. Currently, this is far from reality and threatens the LOD project as a major pillar of the semantic web.

In this context, such papers addressing concept-based search for LOD come to the rescue and keep the weak flame of hope burning. The authors succeed in taking a refreshing view about how to provide a more semantically aware search facility than currently available via SPARQL query interfaces, which is inspired by classic information retrieval approaches, trimmed for the needs of LOD and RDF triples. Therefore, the paper provides an excellent reference point for researchers and developers of search engines tailored for the discovery of interesting descriptions of things on the web.

As with all similar search engines in the past, this search approach and engine could not be found on the web as a publicly available system to be widely used by those aspiring to produce and link up their RDF-based descriptions with other already existing resources. If this problem cannot be harnessed, the reusability of descriptions will remain a far-reaching goal and will further contribute to an unnecessary explosion of redundant and heterogeneous descriptions, further undermining any future of the semantic web.

Reviewer:  Epaminondas Kapetanios Review #: CR144491 (1608-0598)
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