Conceptual Soft-Computing based Web search: FIS-CRM, FISS Metasearcher and GUMSe Architecture

Olivas, José Á.; Garcés, Pablo; Mata, Javier de la; Romero, Francisco P.; Serrano-Guerrero, Jesús

doi:10.1007/978-3-540-73185-6_5

Cited by 2 publications

(3 citation statements)

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“…A hierarchical structure also helps Vector Space Model to obtain better results in IR [9,16,17]. In fact, the frontier between using a hierarchical structure and ontologies constitutes a thin line [26]. For example, intelligent agents improve their retrieval by using it [9,26].…”

Section: Vsm-based Applicationsmentioning

confidence: 99%

“…In fact, the frontier between using a hierarchical structure and ontologies constitutes a thin line [26]. For example, intelligent agents improve their retrieval by using it [9,26]. Table 4 shows some applications that use a hierarchical structure for improving the results obtined by the VSM.…”

Section: Vsm-based Applicationsmentioning

confidence: 99%

“…Hereby, the aim is to retrieve information from, for example, a product, from features like the price of the product, the income of the clients, their conditions or the area of influence of the company. Table 5 shows a huge variety of ontology-based applications using FL, including such fields as improving the semantic capabilities of Web search engines [26], crisis prediction [32], managing imprecise sets of knowledge [33] and real-time control [34]. However, the main application of ontologies until now is the so-called semantic web.…”

Section: Ontology-based Applicationsmentioning

confidence: 99%

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Fuzzy Logic Applications for Knowledge Discovery: a Survey

Ropero

León

Carrasco

et al. 2011

IJACT

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In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE). KD has been widely used for the search of information in vague, imprecise and noisy environments. Computational Intelligence, and mainly Fuzzy Logic, emerges as an ideal tool for IR and IE systems. We introduce a huge variety of FL applications, using the two main existing approaches: the applications based on the Vector Space Model (VSM); and the applications based on ontologies. For VSM applications, we split the applications into those related to queries, clustering, user profiles and hierarchical relations. Meanwhile, we also consider ontology applications, later focusing in the semantic web. However, all these applications are closely related.Section 3 introduces the state of the art of FL applications for IE and IR. It is divided in two sections, which correspond to the two main trends nowadays: VSM (Vector Space Model)-based applications and ontology-based applications.Section 4 shows the main conclusions of this survey.

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