Semantic Classification Search

LOV Symposium: Linking and Opening Vocabularies = Simposium LOV: abriendo y enlazando vocabularios. Getafe (Madrid), 18th June 201

(In) formal classification : connecting formal and informal knowledge organization systems

Recent developments in knowledge organization systems (KOS) have added new dimensions to traditional classification practices, as knowledge is now not only organized by official committees and editors, but also by the users of these systems themselves. The aim of this study is to provide new insights into mapping formally created knowledge organization systems to socially created knowledge organization systems. To this end, a literature review, a theoretical analysis and a practical analysis have been carried out. The theoretical analysis consists of a comparison between the knowledge structure of Freebase, a semantic encyclopedia based on Linked Open Data, and the Dewey Decimal Classification (DDC), a traditional classification system. The practical analysis is based on a statistical mapping of Freebase “domains” to classes of the Dewey Decimal Classification, using information available in the WorldCat database. This analysis is of a quantitative nature. The findings of this study can be approached on multiple levels. On a broad level, it shows that it is possible to map the structure of a socially created knowledge organization system to the structure of a traditional, formally created system, although the study also indicates that there are some fundamental differences in these systems that cannot be solved in an easy way. When we look at the level of the statistical mapping between Freebase and the DDC, this study shows that the mapping covers most of the available Freebase domains, and that it could feasible to use this approach on a broader scale. On the other hand, the study also shows that there are limits as to which features of Freebase's knowledge structure can be represented using the DDC. Structure This thesis starts with an outline of the topic and research questions, and continues with an extensive literature review, that discusses formally and socially created KOS, and theories and practices in mapping. Subsequently, the methodology is discussed, followed by a theoretical analysis of the structure of the DDC and Freebase, and a practical analysis based on a statistical mapping. Finally, the thesis is wrapped up in the conclusion, that also indicates suggestions for future research.Joint Master Degree in Digital Library Learning (DILL

“More than Meets the Eye” - Analyzing the Success of User Queries in Oria

Discovery systems allow academic library users to locate a wider range of resources than previous OPACs. However, actual usage of these systems may still be challenging. The main aim of this research is to get a better understanding of the hurdles users face while searching contemporary library systems.This study utilizes a transaction log analysis approach, using popular and zero result queries datasets gathered from the statistics module of a library discovery system. It explores what types of queries users perform, how successful the queries are, and examines underlying reasons for unsuccessful queries. To our knowledge, this is the first academic paper to use data originating from built-in transaction logs of the Oria library discovery system.The analysis shows that queries are often curriculum-related: we could pinpoint a relation with curriculum for 58% of the popular queries, and 28% for the zero result searches. A vast majority of popular queries refer to books, databases and journals, and over half of the queries used the title to locate a resource. 20% of the popular queries turned out to be unsuccessful. Zero result queries typically involve long queries, and in many cases consist of pasted reference citations.Our conclusion is that the examined discovery system is rather sensitive. Whilst this suggests the importance of increasing users' information search skills, it also points to the need for enhancing discovery systems and their underlying metadata. Furthermore, due to the prominence of curriculum-related queries, a better integration of curriculum materials ought to be achieved

Overview of the SBS 2016 Interactive Track

Users looking for books online are confronted with both professional meta-data and user-generated content. The goal of the Interactive Social Book Search Track was to investigate how users used these two sources of information, when looking for books in a leisure context. To this end, participants recruited by seven teams performed two main tasks and one optional task using a user-interface that supports multiple search stages

(In) formal classification : connecting formal and informal knowledge organization systems

Recent developments in knowledge organization systems (KOS) have added new dimensions to traditional classification practices, as knowledge is now not only organized by official committees and editors, but also by the users of these systems themselves. The aim of this study is to provide new insights into mapping formally created knowledge organization systems to socially created knowledge organization systems. To this end, a literature review, a theoretical analysis and a practical analysis have been carried out. The theoretical analysis consists of a comparison between the knowledge structure of Freebase, a semantic encyclopedia based on Linked Open Data, and the Dewey Decimal Classification (DDC), a traditional classification system. The practical analysis is based on a statistical mapping of Freebase “domains” to classes of the Dewey Decimal Classification, using information available in the WorldCat database. This analysis is of a quantitative nature. The findings of this study can be approached on multiple levels. On a broad level, it shows that it is possible to map the structure of a socially created knowledge organization system to the structure of a traditional, formally created system, although the study also indicates that there are some fundamental differences in these systems that cannot be solved in an easy way. When we look at the level of the statistical mapping between Freebase and the DDC, this study shows that the mapping covers most of the available Freebase domains, and that it could feasible to use this approach on a broader scale. On the other hand, the study also shows that there are limits as to which features of Freebase's knowledge structure can be represented using the DDC. Structure This thesis starts with an outline of the topic and research questions, and continues with an extensive literature review, that discusses formally and socially created KOS, and theories and practices in mapping. Subsequently, the methodology is discussed, followed by a theoretical analysis of the structure of the DDC and Freebase, and a practical analysis based on a statistical mapping. Finally, the thesis is wrapped up in the conclusion, that also indicates suggestions for future research

Dynamic compositions: Recombining search user interface features for supporting complex work tasks

Due to the tremendous advances in information retrieval in the past decades, search engines have become extremely e!cient at acquiring useful sources in response to a user’s query. However, for more sustained and complex information seeking tasks, these search engines are not as well suited. During complex information seeking tasks, various search stages may occur, which imply varying support needs for users. However, the implications of theoretical information seeking models for concrete search user interfaces (SUI) design are unclear, both at the level of the individual features and of the whole interface. Guidelines and design patterns for concrete SUIs, on the other hand, provide recommendations for feature design, but these are separated from their role in the information seeking process. This paper addresses the question of how to design SUIs with enhanced support for the macro-level process, "rst by reviewing previous research. Subsequently, we outline how three types of SUI features can be recombined to form a supportive framework for complex tasks. We provide concrete recommendations for designing more holistic SUIs which potentially evolve along with a user’s information seeking process

Contextual Suggestion from Wikitravel: Exploiting Community-based Suggestions

Abstract: This paper describes our participatio