This book constitutes the thoroughly refereed short papers, workshops and doctoral consortium papers of the 21th European Conference on Advances in Databases and Information Systems, ADBIS 2017, held in Nicosia, Cyprus, in September 2017. The 25 full and 4 short workshop papers and the 12 short papers of the main conference were carefully reviewed and selected from 160 submissions. The papers from the following workshops have been included in the proceedings: the first workshop on Data-Driven Approaches for Analyzing and Managing Scholarly Data, AMSD 2017; the first workshop on Novel Techniques for Integrating Big Data, BigNovelTI 2017; the first international workshop on Data Science: Methodologies and Use-Cases, DaS 2017; the second international workshop on Semantic Web for Cultural Heritage, SW4CH 2017.

This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions.

This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions. Chapter "Leveraging Customer Reviews for E-commerce Query Generation" of this book is available open access under a CC BY 4.0 license.

This book constitutes the proceedings of the 21st European Conference on Advances in Databases and Information Systems, ADBIS 2017, held in Nicosia, Cyprus, in September 2017. The 26 regular papers presented together with one keynote paper and one keynote abstract were carefully selected and reviewed from numerous submissions. The papers are organized in topical sections such as conceptual modeling and human factors; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization, recovery, and databases on modern hardware; semantic data processing; and additional database and information systems topics.

Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators.

Temporal dynamics and how they impact upon various components of information retrieval (IR) systems have received a lot of attention in the last decade. In particular, the study of relevance in information retrieval can now be framed within the so-called temporal IR approaches, which explain how user behavior, document content, and scale vary with time, and how we can use them in our favour in order to improve retrieval effectiveness. Temporal Information Retrieval provides a comprehensive overview of temporal IR approaches, centered on the following questions: what are temporal dynamics, why do they occur, and when and how to leverage temporal information throughout the search cycle and architecture. First, it explains the general and wide aspects associated with temporal dynamics by focusing on the web domain, from content and structural changes to variations of user behavior and interactions. Next, it pinpoints several research issues and the impact of such temporal characteristics on search; essentially regarding processing dynamic content, temporal query analysis, and time-aware ranking. It also addresses particular aspects of temporal information extraction; for instance, how to timestamp documents and generate temporal profiles of text. To this end, it presents existing temporal search engines and applications in related research areas, such as exploration, summarization, and clustering of search results, as well as future event retrieval and prediction, where the time dimension also plays an important role. In addition to providing an extensive overview of the topic, Temporal Information Retrieval is intended to be self-contained enough to be used as teaching material for researchers who want to get acquainted with the topic. It can be read and understood by anybody with basic information retrieval knowledge but is also an ideal reference for more advanced researchers who want a deeper understanding of this field of research.