Facet Embeddings for Explorative Analytics in Digital Libraries

Sepideh Mesbah*, Kyriakos Fragkeskos, Christoph Lofi, Alessandro Bozzon, Geert Jan Houben

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)


With the increasing amount of scientific publications in digital libraries, it is crucial to capture “deep meta-data” to facilitate more effective search and discovery, like search by topics, research methods, or data sets used in a publication. Such meta-data can also help to better understand and visualize the evolution of research topics or research venues over time. The automatic generation of meaningful deep meta-data from natural-language documents is challenged by the unstructured and often ambiguous nature of publications’ content. In this paper, we propose a domain-aware topic modeling technique called Facet Embedding which can generate such deep meta-data in an efficient way. We automatically extract a set of terms according to the key facets relevant to a specific domain (i.e. scientific objective, used data sets, methods, or software, obtained results), relying only on limited manual training. We then cluster and subsume similar facet terms according to their semantic similarity into facet topics. To showcase the effectiveness and performance of our approach, we present the results of a quantitative and qualitative analysis performed on ten different conference series in a Digital Library setting, focusing on the effectiveness for document search, but also for visualizing scientific trends.

Original languageEnglish
Title of host publicationResearch and Advanced Technology for Digital Libraries
Subtitle of host publication21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Proceedings
EditorsJaap Kamps, Giannis Tsakonas, Yannis Manolopoulos, Lazaros Iliadis, Ioannis Karydis
Number of pages14
ISBN (Electronic)978-3-319-67008-9
ISBN (Print)978-3-319-67007-2
Publication statusPublished - 2017
Event21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017 - Thessaloniki, Greece
Duration: 18 Sep 201721 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10450 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017


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