Retrieval In Digital Libraries Research Articles

Designing a Document Retrieval Method for University Digital Libraries Based on Hadoop Technology

With the development of big data, all walks of life in society have begun to venture into big data to serve their own enterprises and departments. Big data has been embraced by university digital libraries. The most cumbersome work for the management of university libraries is document retrieval. This article uses Hadoop algorithm to extract semantic keywords and then calculates semantic similarity based on the literature retrieval keyword calculation process. The fast-matching method is used to determine the weight of each keyword, so as to ensure an efficient and accurate document retrieval in digital libraries, thus completing the design of the document retrieval method for university digital libraries based on Hadoop technology.

Efektivitas Sistem Temu Kembali Informasi Perpustakaan Digital Institut Seni Indonesia (ISI) Yogyakarta dalam Tinjauan Recall dan Precision

Today's digital library is a necessity. A system that provides all-digital information and services requires that all aspects of it should be accessed effectively. In the context of information retrieval in digital libraries, the information retrieval systems are important instruments. The system becomes a link between relevant information and its users. Evaluation of the information retrieval system to determine its effectiveness is important to ensure that users receive good retrieval services. Recall and precision are approaches to measure the effectiveness of information retrieval systems that are widely used. This study aims to determine the effectiveness of the ISI Yogyakarta digital library retrieval system based on recall and precision approaches. This study will provide benefits for librarians in knowing the effectiveness of the information retrieval system and the extent of their accuracy in indexing. This research uses an experimental method with a quantitative approach. The researcher chose a sample of the searching keywords purposively and then tested them by searching on the portal http://digilib.isi.ac.id/. The data obtained were analyzed using the formula recall and precision. In this study the subjects tested were interior design subjects. The precision measurement of 10 keywords on the subject of interior design gets 92.37% results while the recall measurement gets 80.79% results. The result stated that precision is higher than recall, it showed that the information retrieval system of ISI Yogyakarta’s digital library is quite effective.

Aplicación del algoritmo RAKE en la indización de documentos digitales

En la actualidad existe una diversidad de documentos digitales y en particular de documentos textuales que, dada su naturaleza, permiten la aplicación de métodos automatizados de procesamiento, organización y análisis con el fin de obtener información de manera concisa y de forma eficiente. Diversas áreas de estudio, como la informática, la bibliotecología, la lingüística computacional y la minería de texto, se encargan de desarrollar métodos para el procesamiento de documentos digitales con la meta de facilitar su representación, organización y recuperación, tanto en bibliotecas digitales como en bases de datos y catálogos. Estos métodos pueden ser de tipo estadístico o lingüístico. En este artículo se estudia el método RAKE de tipo estadístico con la finalidad de identificar y extraer palabras clave multipalabra de los documentos digitales para su organización y recuperación, además de la aplicación del método en la indización automatizada de documentos.

Building models of documentary and factographic retrieval in digital libraries

The building of models of documentary and factographic retrieval is discussed in the context of digital libraries working with documents of a fairly arbitrary structure. An overview is given of a technology for extracting factographic information from scientific documents of a fairly arbitrary structure. A model is proposed for the classification of documents in a digital library. The model is based on the use of the tolerance relationship and takes into account the possible lack of a priori given classifiers. In creating factographic systems, it is suggested that the concept of a fact should be understood as a totality of relationships, as contained in the text and document metadata, between the entities described in the information system ontology. A simple model is proposed to describe the ontology of a factographic system.

System of Intelligent Library Retrieval Based on Data Mining

Digital Library Retrieval involves the mathematical model of information retrieval algorithms, it is very important to design an algorithm to make the best books to extract the required information to involve the association rules and classification method for predicting the reader from the database and potentially fast and accurate information use problems. In this paper, the intelligent retrieval of books were analyzed using data mining algorithms can be studied books intelligent retrieval application, until practical algorithm to solve the retrieval model first developed fit the requirements and design a library information library books to achieve intelligent retrieval system.

Multilingual Digital Libraries: A review of issues in system-centered and user-centered studies, information retrieval and user behavior

PurposeThis study aims to identify, collect and critical review the research literature on Multilingual Digital Libraries in English language from 1997 to 2012. Design/methodology/approachThe present literature review has followed the rules of systematic review. In particular, the identified relevant papers were categorized based on their expressed aim on two core themes, that of system-centered and user-centered studies. The assigned papers were further analyzed and six sub-themes emerged for the system-centered studies and four for the user-centered studies. Additional categorization was also provided according to type of publication. FindingsThe literature concerning Multilingual Digital Libraries is vast and mainly focuses on two aspects the “System” and the “Users”. The majority of papers tried to meet the challenges raised for enabling multilingual information retrieval in Digital Libraries. Unfortunately, these efforts undertaken by a small number of researchers or research groups apparently working in isolation and therefore resulting in the development of numerous different tools and techniques. Relatively few studies have focused on the user and aimed to explore users' behavior and expectations when interacting with Multilingual Digital Libraries. As a result, further research is needed to reach to some tangible and usable findings. Originality/valueThis literature review captures the diversity of the research conducted regarding multilingual information access and retrieval in Digital Libraries. It organizes the vast literature in comprehensive themes and sub-themes enabling easy access to specific information. LimitationsThis study reviews only papers in English due to language restrictions from 1997 to 2012.

Multilingual Digital Libraries: A review of issues in system-centered and user-centered studies, information retrieval and user behavior

This study aims to identify, collect and critical review the research literature on Multilingual Digital Libraries in English language from 1997 to 2012.Design/methodology/approach: The present literature review has followed the rules of systematic review. In particular, the identified relevant papers were categorized based on their expressed aim on two core themes, that of system-centered and user-centered studies. The assigned papers were further analyzed and six sub-themes emerged for the system-centered studies and four for the user-centered studies. Additional categorization was also provided according to type of publication.Findings: The literature concerning Multilingual Digital Libraries is vast and mainly focuses on two aspects the “System” and the “Users”. The majority of papers tried to meet the challenges raised for enabling multilingual information retrieval in Digital Libraries. Unfortunately, these efforts undertaken by a small number of researchers or research groups apparently working in isolation and therefore resulting in the development of numerous different tools and techniques. Relatively few studies have focused on the user and aimed to explore users' behavior and expectations when interacting with Multilingual Digital Libraries. As a result, further research is needed to reach to some tangible and usable findings.Originality/value: This literature review captures the diversity of the research conducted regarding multilingual information access and retrieval in Digital Libraries. It organizes the vast literature in comprehensive themes and sub-themes enabling easy access to specific information.Limitations: This study reviews only papers in English due to language restrictions from 1997 to 2012.

Contextual Metadata in Digital Aggregations: Application of Collection-Level Subject Metadata and Its Role in User Interactions and Information Retrieval

A number of digital libraries that aggregate multiple digital collections are now generating subject metadata to describe intellectual content of entire digital collections as integrated wholes and to provide context for individual digital objects within them. However, the utility of this important contextual metadata has not been empirically evaluated. The exploratory study reported in this article examined and compared collection-level subject metadata in three large-scale aggregations of cultural heritage digital collections in the United States and the European Union and analyzed the role of collection-level metadata in information retrieval in digital aggregations based on user search queries derived from transaction logs. A small-scale targeted user study, which combined interviews and observations of users interacting with an aggregation, was undertaken to complement evidence-based content analysis data. The study revealed considerable variability in two indicators: consistency of applying controlled-vocabulary collection-level subject metadata elements beyond topical and value length of metadata elements. Both free-text and controlled-vocabulary subject metadata were found vital in answering search queries of aggregation users. Users also expressed preference for viewing complete structured collection-level metadata records, which include subject metadata. Results of this study prove importance of provision of collection-level metadata in general and subject metadata in particular to enhance user experiences and information retrieval in digital libraries.

Probabilistic Topic Models for Learning Terminological Ontologies

Probabilistic topic models were originally developed and utilized for document modeling and topic extraction in Information Retrieval. In this paper, we describe a new approach for automatic learning of terminological ontologies from text corpus based on such models. In our approach, topic models are used as efficient dimension reduction techniques, which are able to capture semantic relationships between word-topic and topic-document interpreted in terms of probability distributions. We propose two algorithms for learning terminological ontologies using the principle of topic relationship and exploiting information theory with the probabilistic topic models learned. Experiments with different model parameters were conducted and learned ontology statements were evaluated by the domain experts. We have also compared the results of our method with two existing concept hierarchy learning methods on the same data set. The study shows that our method outperforms other methods in terms of recall and precision measures. The precision level of the learned ontology is sufficient for it to be deployed for the purpose of browsing, navigation, and information search and retrieval in digital libraries.

Faceted infrastructure for semantic digital libraries

PurposeThe paper aims to argue that digital library retrieval should be based on semantic representations and propose a semantic infrastructure for digital libraries.Design/methodology/approachThe approach taken is formal model based on subject representation for digital libraries.FindingsSearch engines and search techniques have fallen short of user expectations as they do not give context based retrieval. Deploying semantic web technologies would lead to efficient and more precise representation of digital library content and hence better retrieval. Though digital libraries often have metadata of information resources which can be accessed through OAI‐PMH, much remains to be accomplished in making digital libraries semantic web compliant. This paper presents a semantic infrastructure for digital libraries, that will go a long way in providing them and web based information services with products highly customised to users needs.Research limitations/implicationsHere only a model for semantic infrastructure is proposed. This model is proposed after studying current user‐centric, top‐down models adopted in digital library service architectures.Originality/valueThis paper gives a generic model for building semantic infrastructure for digital libraries. Faceted ontologies for digital libraries is just one approach. But the same may be adopted by groups working with different approaches in building ontologies to realise efficient retrieval in digital libraries.

Exploiting cascading citations for retrieval

AbstractWe report on the utilization of the cascading citations indexing framework (C2IF) for the identification of similarities among items (in this case research articles) in a bibliographic database. More specifically, the problem of chaining forward from a given focal article is addressed by considering the direct as well as the indirect citations that target the article in question. From the population of articles that cite the given article directly, those associated with a larger number of higher‐level C2IF constructs are found to be more similar to it. The findings also appear to be of value for the mirror image problem of chaining backward from the focal article to a population of referenced articles. Cited publications for which the focal article represents/hosts a larger number of higher‐level C2IF constructs are likely to be more similar to it.As a testbed, sixty (60) highly cited computer science research articles are considered together with their associated bibliographic links over a six‐year period 1999‐2005) in the Science Citation Index Expanded (SCIE) data. The dataset has been made available by Thomson Scientific for conducting research along the lines of the Cascading Citations Analysis Project (C‐CAP). Similarity values are calculated by considering author‐supplied as well as automatically generated keywords registered in the SCIE dataset. The purpose of this research is to develop a strategy that will improve the effectiveness of retrieval in digital libraries that incorporate bibliographic citations.

Context-sensitive queries for image retrieval in digital libraries

In this paper we show how to achieve a more effective Query By Example processing, by using active mechanisms of biological vision, such as saccadic eye movements and fixations. In particular, we discuss the way to generate two fixation sequences from a query image I q and a test image I t of the data set, respectively, and how to compare the two sequences in order to compute a similarity measure between the two images. Meanwhile, we show how the approach can be used to discover and represent the hidden semantic associations among images, in terms of categories, which in turn drive the query process.

A synchronization scheme for multimedia retrieval in digital libraries over cellular radio networks

Recent advances in wireless mobile computing, digital library, and distributed multimedia technologies are stimulating the development of mobile multimedia digital library systems (M2DLS) that allow mobile clients to access multimedia material anywhere and anytime over a cellular radio network. This paper addresses the problem of providing synchronized multimedia retrieval in these systems. An efficient inter-media synchronization scheme called wireless prioritized feedback (WPF) for mobile multimedia on-demand retrieval in digital library systems over CDMA cellular radio networks in the absence of synchronized clocks is presented. In the WPF scheme, base stations use preferential lightweight message called feedback units transmitted by mobile mediaphones to detect and correct asynchronies. The algorithm is described with pseudo code, and experiments are described to demonstrate the efficiency of WPF.

Exploiting the Web as the multilingual corpus for unknown query translation

AbstractUsers' cross‐lingual queries to a digital library system might be short and the query terms may not be included in a common translation dictionary (unknown terms). In this article, the authors investigate the feasibility of exploiting the Web as the multilingual corpus source to translate unknown query terms for cross‐language information retrieval in digital libraries. They propose a Web‐based term translation approach to determine effective translations for unknown query terms by mining bilingual search‐result pages obtained from a real Web search engine. This approach can enhance the construction of a domain‐specific bilingual lexicon and bring multilingual support to a digital library that only has monolingual document collections. Very promising results have been obtained in generating effective translation equivalents for many unknown terms, including proper nouns, technical terms, and Web query terms, and in assisting bilingual lexicon construction for a real digital library system.

Color object indexing and retrieval in digital libraries

In our previous work, illumination invariant object recognition was achieved by normalizing the three color bands. We further employed the compressed histogram of the chromaticity to arrive at a valuable representation of an object which can facilitate high retrieval accuracy. The first shortcoming of this method lies in the usage of a uniform quantization scheme in obtaining the chromaticity, which is not in agreement with the perception of the human vision system. In this paper, we develop an approach using the CIE UCS transform to circumvent this problem. Second, instead of using uncompressed images to achieve the illumination invariant indexing and retrieval, we carry out our indexing process directly in the DCT domain by using several coefficients from each macro-block. Third, in light of the special properties of the normalized chromaticity histogram frames, the foundation of the ensuing low-pass filtering, an additional step is inserted to render this frame smoother thus resulting in a better data reduction. Fourth, in order to facilitate efficient retrieval during the data query phase, which is of utmost importance in digital libraries, the 36-dimensional model vectors as the indices of model images in digital libraries are clustered by use of vector quantization techniques. This clustering strategy reduces the searching space by an order of magnitude. Desirable results have been observed from our experiments using the proposed color-object-indexing/retrieval algorithm.

Thesaurus construction through knowledge representation

Semantic metadata describing subject content plays a vital role in supporting indexing and retrieval in Digital Libraries. Mechanisms used to deliver this metadata include keyword collections, thesauri and classifications. Constructing a large thesaurus, however, is a difficult process which can be facilitated through the application of knowledge representation techniques developed for managing and reasoning about concepts. We describe such a scheme – a Description Logic (DL) – and show through an example how a DL can play a part in the classification construction process, aiding in the production of coherent hierarchies and ensuring that the relationships represented in a thesaurus are sensible.

Illumination Invariance and Object Model in Content-Based Image and Video Retrieval

With huge amounts of multimedia information connected to the global information network (Internet), efficient and effective image retrieval from large image and video repositories has become an imminent research issue. This article presents our research in the C-BIRD (content-based image retrieval in digital-libraries) project. In addition to the use of common features such as color, texture, shape, and their conjuncts, and the combined content-based and description-based techniques, it is shown that (a) color-channel-normalization enables search by illumination invariance, and (b) feature localization and a three-step matching algorithm (color hypothesis, texture support, shape verification) facilitate search by object model in image and video databases.

Digital libraries: technological advances and social impacts

Public awareness of the Net as a critical infrastructure in the 1990s has spurred a new revolution in the technologies for information retrieval in digital libraries. The paper discusses a range of research projects that investigate the development and usage of new information technology for substantial collections.

Content-based retrieval in digital libraries

With the recent developments in multimedia and telecommunication technologies, content-based information is becoming increasingly important for various areas such as digital libraries, interactive video and multimedia publishing. Multimedia data refers to simple structured data (such as numbers and short strings), large unstructured data (such as text documents, images, audio and video data) and complex structured data (such as maps, graphs, charts and tables). In this article, we briefly address content-based retrieval and the issues of representation, storage and retrieval of multimedia objects in digital libraries. We then very briefly identify some open areas of research.