Knowledge Organization Systems (KOS) in the Semantic Web: A Multi-Dimensional Review

Since the Simple Knowledge Organization System (SKOS) specification and its SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009 a significant number of conventional knowledge organization systems (KOS) (including thesauri, classification schemes, name authorities, and lists of codes and terms, produced before the arrival of the ontology-wave) have made their journeys to join the Semantic Web mainstream. This paper uses "LOD KOS" as an umbrella term to refer to all of the value vocabularies and lightweight ontologies within the Semantic Web framework. The paper provides an overview of what the LOD KOS movement has brought to various communities and users. These are not limited to the colonies of the value vocabulary constructors and providers, nor the catalogers and indexers who have a long history of applying the vocabularies to their products. The LOD dataset producers and LOD service providers, the information architects and interface designers, and researchers in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper examines a set of the collected cases (experimental or in real applications) and aims to find the usages of LOD KOS in order to share the practices and ideas among communities and users. Through the viewpoints of a number of different user groups, the functions of LOD KOS are examined from multiple dimensions. This paper focuses on the LOD dataset producers, vocabulary producers, and researchers (as end-users of KOS).Comment: 31 pages, 12 figures, accepted paper in International Journal on Digital Librarie

Bridging End Users' Terms and AGROVOC Concept Server Vocabularies

The AGROVOC is a multilingual structured thesaurus in the agricultural domain. It has already been mapped with several vocabularies, for example AGROVOC-CAT, AGROVOC-NALT , AGROVOC-SWD. Although these vocabularies already contained a good portion of non-preferred terms, the terms are collected under the literary warrant and institutional warrant principles; which means vocabularies were collected based on the documents and publications rather than user‟s queries. It is still very common that end users would use different terms to express the same concept. In light of above discussion, we need to bridge these vocabularies and the users‟ terms Backgroun

Domain-specific markup languages and descriptive metadata: their functions in scientific resource discovery

While metadata has been a strong focus within information professionals’ publications, projects, and initiatives during the last two decades, a significant number of domain-specific markup languages have also been developing on a parallel path at the same rate as metadata standards; yet, they do not receive comparable attention. This essay discusses the functions of these two kinds of approaches in scientific resource discovery and points out their potential complementary roles through appropriate interoperability approaches

Compatibility of Indexing Languages in an Online Access Environment: A Review of the Approaches

With the increase of cross-database searching and inter-system operation and the involvement of patron searching, compatibility of indexing languages is becoming an issue of great practical impact and is experiencing renewed interest. An indication of this increasing concern is the current projects being carried out by the national libraries and other national and international organizations such as the Unified Medical Language System (NLM), Universal Agricultural Thesaurus (NAL, CABI, and NAO), and Integrated Multilingual Thesaurus for Social Science (Unesco)

Semantic enrichment for enhancing LAM data and supporting digital humanities. Review article

With the rapid development of the digital humanities (DH) field, demands for historical and cultural heritage data have generated deep interest in the data provided by libraries, archives, and museums (LAMs). In order to enhance LAM data’s quality and discoverability while enabling a self-sustaining ecosystem, “semantic enrichment” becomes a strategy increasingly used by LAMs during recent years. This article introduces a number of semantic enrichment methods and efforts that can be applied to LAM data at various levels, aiming to support deeper and wider exploration and use of LAM data in DH research. The real cases, research projects, experiments, and pilot studies shared in this article demonstrate endless potential for LAM data, whether they are structured, semi-structured, or unstructured, regardless of what types of original artifacts carry the data. Following their roadmaps would encourage more effective initiatives and strengthen this effort to maximize LAM data’s discoverability, use- and reuse-ability, and their value in the mainstream of DH and Semantic Web

Semantic enrichment for enhancing LAM data and supporting digital humanities. Review article

With the rapid development of the digital humanities (DH) field, demands for historical and cultural heritage data have generated deep interest the data provided by libraries, archives, and museums (LAMs). In order to enhance LAM data’s quality and discoverability while enabling a self-sustaining ecosystem, “semantic enrichment” becomes a strategy increasingly used by LAMs during recent years. This article introduces a number of semantic enrichment methods and efforts that can be applied to LAM data at various levels, aiming to support deeper and wider exploration and use of LAM data in DH research. The real cases, research projects, experiments, and pilot studies shared in this article demonstrate endless potential for LAM data, whether they are structured, semi-structured, or unstructured, regardless of what types of original artifacts carry the data. Following their roadmaps would encourage more effective initiatives and strengthen this effort to maximize LAM data’s discoverability, use- and reuse-ability, and their value in the mainstream of DH and Semantic Web

Learning, Understanding, and Using Linked Data

This workshop begins with a review of Linked Data fundamentals, focusing on the developments in the field that most impact libraries, archives, and museums (LAMs). Various Linked Data products created by LAMs will be used to demonstrate the capabilities of applying the Linked data approach to the information organization and discovery in the Semantic Web. In addition, the workshop will provide hands-on experience in which participants will access and wield Linked Data datasets as non-techy end-users, for the purpose of understanding the basics of Linked Data as well as the potential benefits of Linked Data approach. The second part of the workshop will introduce a competency framework that defines the knowledge and skills necessary for professional practice in the area of Linked Data, developed by the Linked Data for Professional Educators (LD4PE) project funded by the Institute of Museum and Library Services (IMLS). The workshop will include an overview of the structure and content of the Competency Index for Linked Data and the LD4PE website (http://explore.dublincore.net). The hands-on part will explore the LD4PE website’s competency index and over 600 related learning resources aligned with the competencies, a number of roadmaps for various professionals, and a package of learning Linked Data through a OCLC provided WorldCat Linked Data dataset

Knowledge organization scheme for cross-cultural and cross-language information systems. A discussion of issues and challenges.

The purpose of our presentation is two-fold:First, to describe the significant challenges that have been encountered in a project to form a general conceptual framework to cover concepts and terminology used for information retrieval in the field of complementary and alternative medicine (CAM). Second, to initiate a discussion and seek advice regarding developing a knowledge organization schema for cross-culture information systems