LINDASearch: a faceted search system for linked open datasets

Sánchez-Cervantes, José Luis; Colombo-Mendoza, Luis Omar; Alor-Hernández, Giner; García-Alcaráz, Jorge Luis; Álvarez-Rodríguez, José María; Rodríguez‐González, Alejandro

doi:10.1007/s11276-019-02029-z

Cited by 6 publications

(5 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the Chinese medical code has collected more than 1000 major works of traditional Chinese medicine in the past dynasties. Using the library classification method, the collected ancient books are divided into 12 categories: medical classics, diagnostic methods, materia medica, prescription books, acupuncture and massage, typhoid golden chamber, febrile disease, comprehensive medical books, clinical and syndrome disciplines, external treatment of health and diet therapy, medical theory and medical records, and others, involving all disciplines of traditional Chinese medicine [15][16][17][18][19].…”

Section: Related Workmentioning

confidence: 99%

Construction and Knowledge Mining of Traditional Chinese Medicine Ancient Books Bibliographic Abstracts Database Based on Genetic Algorithm and BP Neural Network

Wang

Ren

Song

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With the rapid development of modern science technology and Internet technology, the establishment of a unified and standardized bibliographic summary database to realize the exchange and resource sharing of ancient Chinese medicine bibliography, is the inevitable trend of ancient Chinese medicine bibliography digital service. Firstly, this paper formulates the bibliographic metadata specification of traditional Chinese medicine ancient books (TCMAB), extracts each cataloging file into an XML document in line with the bibliographic metadata specification of TCMAB. Secondly, this paper realizes the unified description of ancient book resources in the database system of TCMAB, uses the native XML database eXist to store and manage the XML documents of all traditional Chinese medicine ancient book resources, and integrates the multimedia data with XML data. Finally, genetic algorithm and BP neural network are used for knowledge mining and discovery, the overall model design of TCMAB bibliographic abstracts database system is proposed based on the construction process of knowledge map. The system platform adopts B/S mode, eXist database management system, PowerSSP streaming media and video server for audio video processing.

show abstract

Section: Related Workmentioning

confidence: 99%

Construction and Knowledge Mining of Traditional Chinese Medicine Ancient Books Bibliographic Abstracts Database Based on Genetic Algorithm and BP Neural Network

Wang

Ren

Song

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Ilyas et al [45] propose an abstract conceptual process model for semantic search engines, which should consist of ontology manager, web crawler, query builder and preprocessor, and inference engine. In the work presented by Sánchez-Cervantes et al [46], a meta-search system, called LINDASearch, is introduced to provide information about the wellknown open linked data projects (e.g., DBpedia). LINDASearch aims to overcome several limitations, including faceted navigation and data unification over various domains, time optimization, and results' scalability.…”

Section: Current State Of the Art And Related Workmentioning

confidence: 99%

Interactive Search on the Web: The Story So Far

et al. 2022

View full text Add to dashboard Cite

Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages. This paper categorizes the search services from the early days of the web to the present into keyword search engines, semantic search engines, question answering systems, dialogue systems and chatbots. As the first generation of search engines, keyword search engines have adopted keyword-based techniques to find the web pages containing the query keywords and ranking search results. In contrast, semantic search engines try to find meaningful and accurate results on the meaning and relations of things. Question-answering systems aim to find precise answers to natural language questions rather than returning a ranked list of relevant sources. As a subset of question answering systems, dialogue systems target to interact with human users through a dialog expressed in natural language. As a subset of dialogue systems, chatbots try to simulate human-like conversations. The paper provides an overview of the typical aspects of the studied search services, including process models, data preparation and presentation, common methodologies and categories.

show abstract

“…A faceted search visualization technique can also support categorized access to heterogeneous and unstructured biomedical data sources [33]. This technique can also support a metasearch system to search and gather data resources from multiple Open Linked Data Projects [34]. Furthermore, it facilitates a coarse-grained and fine-grained exploration of geographic maps through interactive widgets [35].…”

Section: Related Workmentioning

confidence: 99%

“…A random walk-based framework has been used to induce a sub-network consisting of related nodes of the scientific article citations or content similarity network [30]. Relevant facets can also be predicted by using a Random Forest (RF) model [38], based on the most frequent queries of the most similar users [34], based on the ability of the user to provide desired values for each facet [29], as well as based on statistical and perceptual measures [31].…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Driven Personalized Faceted Search for Exploring Knowledge Bases of Capsicum

et al. 2021

View full text Add to dashboard Cite

Capsicum is a genus of flowering plants in the Solanaceae family in which the members are well known to have a high economic value. The Capsicum fruits, which are popularly known as peppers or chili, have been widely used by people worldwide. It serves as a spice and raw material for many products such as sauce, food coloring, and medicine. For many years, scientists have studied this plant to optimize its production. A tremendous amount of knowledge has been obtained and shared, as reflected in multiple knowledge-based systems, databases, or information systems. An approach to knowledge-sharing is through the adoption of a common ontology to eliminate knowledge understanding discrepancy. Unfortunately, most of the knowledge-sharing solutions are intended for scientists who are familiar with the subject. On the other hand, there are groups of potential users that could benefit from such systems but have minimal knowledge of the subject. For these non-expert users, finding relevant information from a less familiar knowledge base would be daunting. More than that, users have various degrees of understanding of the available content in the knowledge base. This understanding discrepancy raises a personalization problem. In this paper, we introduce a solution to overcome this challenge. First, we developed an ontology to facilitate knowledge-sharing about Capsicum to non-expert users. Second, we developed a personalized faceted search algorithm that provides multiple structured ways to explore the knowledge base. The algorithm addresses the personalization problem by identifying the degree of understanding about the subject from each user. In this way, non-expert users could explore a knowledge base of Capsicum efficiently. Our solution characterized users into four groups. As a result, our faceted search algorithm defines four types of matching mechanisms, including three ranking mechanisms as the core of our solution. In order to evaluate the proposed method, we measured the predictability degree of produced list of facets. Our findings indicated that the proposed matching mechanisms could tolerate various query types, and a high degree of predictability can be achieved by combining multiple ranking mechanisms. Furthermore, it demonstrates that our approach has a high potential contribution to biodiversity science in general, where many knowledge-based systems have been developed with limited access to users outside of the domain.

show abstract

LINDASearch: a faceted search system for linked open datasets

Cited by 6 publications

References 56 publications

Construction and Knowledge Mining of Traditional Chinese Medicine Ancient Books Bibliographic Abstracts Database Based on Genetic Algorithm and BP Neural Network

Construction and Knowledge Mining of Traditional Chinese Medicine Ancient Books Bibliographic Abstracts Database Based on Genetic Algorithm and BP Neural Network

Interactive Search on the Web: The Story So Far

An Ontology-Driven Personalized Faceted Search for Exploring Knowledge Bases of Capsicum

Contact Info

Product

Resources

About