No abstract

The World Wide Web has grown exponentially in the last few years. The popularity of Web search engines has also grown in a similar manner. The task of a Web search engine is to provide the Web searcher with accurate and targeted information from the plethora of information available on the Web. This is a daunting task that requires the careful usage of language to ensure accuracy. As a result, the importance of the usage and meaning of language in the Web domain has become the focus of recent research. In this paper, the author will explore Wittgenstein’s later philosophy of language as it applies to the language used in the search result pages of a Web search engine in an effort to broaden the understanding of language usage within this domain.

Nearly fifty years after the incorporation of the International Society for Knowledge Organization and the introduction of its formal scientific journal Knowledge Organization, a comprehensive encyclopedia of the domain appeared. The practice of domain analysis for knowledge organization, twenty years after its introduction as a core methodology, has created the largest corpus of theoretical knowledge in the domain analysis of knowledge organization itself. A substantial body of research data, therefore, is available in the corpus of articles and conference papers reporting on the epistemological and ontological pillars of the science of knowledge organization. This paper is a report on the evolution of a formal taxonomy of knowledge organization, which is a product of an exhaustive meta-analysis of the KO domain. Our team compiled the corpus of twenty-nine formal published analyses together with key formative historical documents. We then analyzed the corpus thematically, bibliographically, and using co-word analysis to extract key concepts and the underlying faceted conceptual infrastructure. The taxonomy itself is faceted and is linked where possible to published definitions in the KO literature and as well as to the online ISKO Encyclopedia of Knowledge Organization. A dynamic project, the taxonomy will be maintained as linked open data and will grow as emergent research contributes new concepts or generates new facets.

York (CUNY). She currently teaches relational and nonrelational database theory and practice to undergraduate students in the Computer Systems Major at the college. In her courses, she incorporates ethical topics related to computers. She believes that by raising awareness of the impact technology can have on society, students are better prepared to assume an ethical and technical role in the business environment. Prior to her academic position, Dr. Milonas worked as a database administrator where she realized that technical expertise is only part of the skill set needed to succeed in a business setting. Her research focuses on the mechanisms used to organize big data in search result pages of major search engines. In addition, she is conducting research related to techniques for incorporating ethics in computer curriculum specifically in data science curriculum.