• Corpus ID: 13362440

Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks

  title={Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks},
  author={Roy Lachica and Dino Karabeg and Sasha Mile Rudan},
We propose a framework for ranking information based on quality, relevance and importance, and argue that a socio-semantic contextual approach that extends topicality can lead to increased value of information retrieval systems. We use Topic Maps to implement our framework, and discuss procedures for calculating the resource ranking. A fuzzy neural network approach is envisioned to complement the process of manual metadata creation. 

Figures and Tables from this paper

Abstracts generation as information retrieval results
The automatic abstract generation represents an extension of the previous works aimed to create an information retrieval system dedicated for kids, and is in the form of textual abstract instead of returning a list of links pointing to relevant web documents.
We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web
This chapter discusses how the concept of cognitive authority can be used in order to improve the information retrieval on folksonomybased systems and proposes a ranking scheme, called AuthorityRank, that takes into account the cognitive authority of the information sources.
Dynamic Content and User Identification in Social Semantic Tagging Systems
This work updates identities of the users and Web contents dynamically based on the latest collective opinion of the evolving communities of users related to them in a social semantic tagging system.
Knowledge Federation as a Principle of Social Organization of Knowledge Creation and Sharing
We introduce knowledge federation as a principle of social organization of knowledge creation and sharing that is conducive to improving our collective intelligence (ability to understand and handle
CITREC : An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central
CITREC prepares the data from the PubMed Central Open Access Subset and the TREC Genomics collection for a citation-based analysis and provides tools necessary for performing evaluations of similarity measures, and features two gold standards.
Context, Quality and Relevance: Dependencies and Impacts on RESTful Web Services Design
An analysis of relationships among context, quality, and relevance, as well as their impact on the design and composition of Web services, in particular at the data resource level is contributed.
Enhancing Accuracy of Dynamic Collaborative Labeling and Matching Through Semantic Augmentation Method (SAM)
Semantic Augmentation Method (SAM) is applied on COD which is a collaborative labeling platform based on IDCOLAB framework and evaluated SAM with two separate focus groups in the domains of Artificial Intelligence and Entrepreneurship.
Dynamic communities formation through semantic tags
An approach to form dynamic communities of related taggers around the tagged objects to evolve the represented knowledge in semantic tagging systems dynamically according to the latest perception of the related users.
This study will benefit Islamic e-Tourism businesses, website owners, developers and designers by providing a guideline on the expected information that should be available on the website that serve Muslim tourists and how to make sure that the website fulfill the requirements needed by them.
Cooperative Design, Visualization, and Engineering
This paper analyzes the system behavior when a more general algebra than the Max-Min one is taken for matrix composition and considers the algebra ([0, 1], SM, T ), where SM denotes the maximum t-conorm and T stands for any t-norm.


Context-Aware Semantic Association Ranking
This work discusses a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations, and utilizes alternative ways of specifying the context using ontology to capture users' interests more precisely and better quality results in relevance ranking.
Semantic and Conceptual Context-Aware Information Retrieval
This paper presents an information retrieval methodology which uses Formal Concept Analysis in conjunction with semantics to provide contextual answers to Web queries to perform a more relevant and refined information retrieval, closer to the users' expectation.
Approach for defining relevance in the ontology-based information retrieval
  • N. Stojanović
  • Computer Science
    The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
  • 2005
This paper presents a novel approach for determining relevance in ontology-based searching for information, which exploits the "full potential" of the semantics of such a semantically-based link structure.
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
A model for the exploitation of ontology-based knowledge bases to improve search over large document repositories and is combined with conventional keyword-based retrieval to achieve tolerance to knowledge base incompleteness.
A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrieval
The benefits of the introduction of ontologies for an enhanced representation of the relevant knowledge about the user, the context, and the domain of discourse are proposed, as a means to enable improvements in the retrieval process and the performance of adaptive capabilities.
Application of Ontology Techniques to View-Based Semantic Search and Browsing
This work has implemented an ontology- and view-based search engine and recommendation system Ontogator for RDF(S) repositories that enriches instance level metadata by ontologies and provides the user with links to semantically related relevant resources.
A New Approach to the Concept of "Relevance" in Information Retrieval (IR)
The authors argue that the proposal for the solution of the problems associated with the concept of "relevance" in information retrieval can be based on the conceptual IR framework built using a systems analytic approach to IR.
Advances in Semantic Media Adaptation and Personalization
This volume comprises extended versions of selected papers presented at the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP 2006), which took place in Athens in December 2006.
Querying the Semantic Web with Preferences
This work presents a comprehensive extension of SPARQL which directly supports the expression of preferences and reports the implementation of preference query processing, which is based on the ARQ query engine.
A Contextual User Model for Web Personalization
This paper describes the architecture that provides personalization facilities based on the contextual user model for tourism usage and focuses on how to model the user and his context in an extensible way that can be interpreted and used for personalization.