Proceedings ArticleDOI
A hybrid approach for searching in the semantic web
Cristiano Rocha,Daniel Schwabe,Marcus Poggi de Aragão +2 more
- pp 374-383
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TLDR
A search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain and it was observed that the proposed hybrid spread activation, combining the symbolic and the sub-symbolic approaches, achieved better results when compared to each of the approaches alone.Abstract:
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontology, weights are assigned to links based on certain properties of the ontology, so that they measure the strength of the relation. Spread activation techniques are used to find related concepts in the ontology given an initial set of concepts and corresponding initial activation values. These initial values are obtained from the results of classical search applied to the data associated with the concepts in the ontology. Two test cases were implemented, with very positive results. It was also observed that the proposed hybrid spread activation, combining the symbolic and the sub-symbolic approaches, achieved better results when compared to each of the approaches alone.read more
Citations
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An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
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Web search personalization with ontological user profiles
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SemSearch: a search engine for the semantic web
TL;DR: SemSearch is presented, a search engine, which pays special attention to semantic search by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective.
Proceedings ArticleDOI
SemRank: ranking complex relationship search results on the semantic web
TL;DR: An approach that ranks results based on how predictable a result might be for users is presented, based on a relevance model SemRank, which is a rich blend of semantic and information-theoretic techniques with heuristics that supports the novel idea of modulative searches, where users may vary their search modes to effect changes in the ordering of results depending on their need.
Book ChapterDOI
An ontology-based information retrieval model
TL;DR: This work proposes a model for the exploitation of ontology-based KBs to improve search over large document repositories, which includes an ontological-based scheme for the semi-automatic annotation of documents, and a retrieval system.
References
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