JeromeDL: The Social Semantic Digital Library

Kruk, Sebastian Ryszard; Cygan, Mariusz; Gzella, Adam; Woroniecki, Tomasz; Dąbrowski, M

doi:10.1007/978-3-540-85434-0_10

Cited by 20 publications

(22 citation statements)

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“…The following list is not an exhaustive list of applications, but it provides an overview about the most recent areas of research where visualization became essential: a) Topic summarization: e.g., understanding newspaper articles, stories, reporting events, investigating crime reports, finding patterns in blogs, following the development of political campaigns, or observing topic trends in the bibliography of research approaches [7,3,25]; b) Visual Analysis of Social Networks: e.g., analyzing dynamic groups memberships in temporal social networks by using graphical representations [10,12,17,6,29]; c) Visual Clustering Analysis: e.g., using data mining techniques to find patterns in data to generate group of data based on (dis)similarity. Several visualization tools have been developed in this domain and gained great popularity, to mention some [21,2,28,5,30]; d) Semantic Visual Analysis: e.g., visual analysis of webpage/documents based on the semantic representation of text in a "semantic graph" [23,8,9,22,31], or exploring data in folksonomy systems based on a hierarchical semantic representation, "semantic cloud or tags" [11,14,24,23,4,15,16,22,26] …”

Section: Visual Analytic Applicationsmentioning

confidence: 99%

Visual knowledge representation of conceptual semantic networks

Zhuhadar

Nasraoui

Wyatt

et al. 2010

Soc. Netw. Anal. Min.

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Section: Visual Analytic Applicationsmentioning

confidence: 99%

Visual knowledge representation of conceptual semantic networks

Zhuhadar

Nasraoui

Wyatt

et al. 2010

Soc. Netw. Anal. Min.

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“…Typical examples include for instance exploiting term co-occurrences or language models to find relevant keywords, categorization, or even inter-document relationships like for instance in JeromeDL [3]. But already in early projects the need to evaluate the quality of the metadata became clear, although it has usually been restricted to general user satisfaction studies.…”

Section: Related Workmentioning

confidence: 99%

Uncovering Hidden Qualities – Benefits of Quality Measures for Automatically Generated Metadata

Tönnies

Balke

2010

Research and Advanced Technology for Digital Libraries

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Abstract. Today, digital libraries more and more have to rely on semantic techniques during the workflows of metadata generation, search and navigational access. But, due to the statistical and/or collaborative nature of such techniques, the underlying quality of automatically generated metadata is questionable. Since data quality is essential in digital libraries, we present a user study on one hand evaluating metrics for quality assessment, on the other hand evaluating their benefit for the individual user during interaction. To observe the interaction of domain experts in the sample field of chemistry, we transferred the abstract metrics' outcome for a sample semantic technique into three different kinds of visualizations and asked the experts to evaluate these visualizations first without, later augmented with the quality information. We show that the generated quality information is indeed not only essential for data quality assurance in the curation step of digital libraries, but will also be helpful for designing intuitive interaction interfaces for end-users. Keywords: Digital Libraries, Information Quality, Semantic Technologies IntroductionDigital Libraries have to handle a vast amount of data ranging from individual papers or reports in journals, conference proceedings etc. up to complete digitized books. Making such data searchable relies mainly on the amount and quality of the provided metadata. On a purely bibliographic level this metadata is relatively easy to derive and maintain, in contrast on the content level the problem of deriving correct metadata obviously grows with the density of information. Whereas the information contained in short conference papers can be manually extracted and annotated quite easily, capturing the content contained in a book definitely needs automatic means of extraction. Today semantic techniques relying on statistically approaches like term co-occurrences or frequencies are already commonplace. But the quality of metadata derived by such techniques is largely uninvestigated. Thus a main topic of future digital library research has to be a quality assessment of such techniques. Obviously the quality -like in information retrievals' precision / recall analysis -can only be evaluated comparing the techniques output with manually provided judgments.

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“…Here we find several initiatives such as the ambitious JeromeDL project [1] or DLibra [9]. Jerome DL uses MarcOnt Ontology [8] mediates with several legacy metadata standards (MARC21, BibTeX & Dublin Core) and offers a number of search and retrieval services based on Semantic technology.…”

Section: Digital Libraries: Been There Done Thatmentioning

confidence: 99%

“…Currently, Digital Libraries (DL for short) are facing a new paradigm shift coping with various challenges which include overcoming traditional browsing or keyword-based strategies. Fundamentally, DL infrastructure improvement attempts have been trying to increase the quality of information retrieval, from query expansion to the collaborative filtering or multi-faceted browsing [1]. However, current approaches are still not fulfilling expectations, leading the user in many cases to frustration.…”

Section: Introductionmentioning

confidence: 99%

CallimachusDL: Using Semantics to Enhance Search and Retrieval in a Digital Library

Gómez-Berbís

Colomo‐Palacios

García-Crespo

2008

Lecture Notes in Computer Science

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Abstract. Among the challenges of classifying, locating and accessing knowledge in Digital Libraries tackling with the huge amount of resources the Web provides, improving Digital Libraries by means of different strategies, particularly, using semantics remains a promising and interesting approach. In this paper, we present CallimachusDL, a semantics-based Digital Library which provides faceted search, enhanced access possibilities and a proof-of-concept implementation.

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JeromeDL: The Social Semantic Digital Library

Cited by 20 publications

References 0 publications

Visual knowledge representation of conceptual semantic networks

Visual knowledge representation of conceptual semantic networks

Uncovering Hidden Qualities – Benefits of Quality Measures for Automatically Generated Metadata

CallimachusDL: Using Semantics to Enhance Search and Retrieval in a Digital Library

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