Semantic Search Meets the Web

Fernández, Miriam; López, Vanesa; Sabou, Marta; Uren, Victoria; Vallet, David; Motta, Enrico; Castells, Pablo

doi:10.1109/icsc.2008.52

Cited by 64 publications

(53 citation statements)

References 11 publications

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“…More "lightweight" semantic techniques are proposed in Fernandez et al (2008), where documents are semantically annotated using a combination of keyword frequencies, as well as semantically related documents' keyword frequencies. Furthermore, their ranking algorithm makes use of a combination of conceptual ranking together with standard keyword ranking in order to lift the semantic techniques to a potentially large scale.…”

Section: Metadata-based Approachesmentioning

confidence: 99%

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Steichen

Ashman

Wade

2012

Information Processing & Management

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Abstract.A key driver for next generation web information retrieval systems is becoming the degree to which a user's search and presentation experience is adapted to individual user properties and contexts of use. Over the past decades, two parallel threads of personalisation research have emerged, one originating in the document space in the area of Personalised Information Retrieval (PIR) and the other arising from the hypertext space in the field of Adaptive Hypermedia (AH).PIR typically aims to bias search results towards more personally relevant information by modifying traditional document ranking algorithms. Such techniques tend to represent users with simplified personas (often based on historic interests), enabling the efficient calculation of personalised ranked lists. On the other hand, the field of Adaptive Hypermedia (AH) has addressed the challenge of biasing content retrieval and presentation by adapting towards multiple characteristics. These characteristics, more typically called personalisation "dimensions", include user goals or prior knowledge, enabling adaptive and personalised result compositions and navigations.The question arises as to whether it is possible to provide a comparison of PIR and AH, where the respective strengths and limitations can be exposed, but also where potential complementary affordances can be identified. This survey investigates the key techniques and impacts in the use of PIR and AH technology in order to identify such affordances and limitations. In particular, the techniques are analysed by examining key activities in the retrieval process, namely (i) query adaptation, (ii) adaptive retrieval and (iii) adaptive result composition and presentation. In each of these areas, the survey identifies individual strengths and limitations. Following this comparison of techniques, the paper also illustrates an example of a potential synergy in a hybridised approach, where adaptation can be tailored in different aspects of PIR and AH systems. Moreover, the concerns resulting from interdependencies and the respective tradeoffs of techniques are discussed, along with potential future directions and remaining challenges.

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Section: Metadata-based Approachesmentioning

confidence: 99%

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Steichen

Ashman

Wade

2012

Information Processing & Management

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“…Thereby, semantic technologies provide adequate linking tools for heterogeneous data sources as well as the generation of a broader context that facilitates information access and enables data exchange between different systems [1]. With the ongoing establishment of semantic technologies like the Resource Description Framework (RDF) 1 , the Web Ontology Language (OWL) 2 and semantic-oriented query languages like SPARQL 3 these developments are not only limited to specific domains but also adopted in daily search processes of web-based search engines [2]. In both, domainspecific applications and web-based search engines, the results of search processing are usually presented in sorted lists.…”

Section: Introductionmentioning

confidence: 99%

Semantics Visualization for Fostering Search Result Comprehension

Stab

Nazemi

Breyer

et al. 2012

Lecture Notes in Computer Science

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Abstract. Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.

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“…Scope: semantic search has been applied in different environments such as the Web (Finin, Mayfield, Fink, Joshi & Cost, 2005;Fernández et al, 2008), controlled repositories (Popov, Kiryakov, Ognyanoff, Manov & Kirilov, 2004), or even the desktop (Chirita, Gavriloaie, Ghita, Nejdl & Paiu, 2005). Obtaining conceptualizations to cover the meanings involved in all Web content as well as the automatic annotation of these conceptualizations with some degree of completeness is still an open challenge.…”

Section: Classification and Limitations Of Semantic Search Approachesmentioning

confidence: 99%

Semantically enhanced Information Retrieval: An ontology-based approach

Fernández

Cantador

López

et al. 2011

Journal of Web Semantics

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195

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Semantic Search Meets the Web

Abstract: Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in:

Cited by 64 publications

References 11 publications

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Semantics Visualization for Fostering Search Result Comprehension

Semantically enhanced Information Retrieval: An ontology-based approach

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