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title = {{Ethics of Google{\textquotesingle}s Knowledge Graph: some considerations}},  journal = {J of Inf Com {\&} Eth in Society},  }  @article{10110943220141101,  abstract = {Knowledge Graph (KG) is a semantics-based search performed by intelligent agents, developed and implemented by Google in December 2012. Though it appears to be just another Google feature, it is actually a huge investment in artificial intelligence in the field of information retrieval. The paper addresses how meaning production occurs in cyberspace, as well as questions about the various stages of web development. Questioning how meaning is made on the web requires us to reframe our understanding of the social, semantic and pragmatic webs, moving towards a ubiquitous web for desktop research. To understand KG, a document analysis was performed, based on an analysis of a Google search engine result page (SERP) and also based on DBpedia and Freebase results. The semantization process occurs through the convergence of meaning-making technologies, which Google KG has been implementing, namely: autosuggest, semantic tags, entity collections, geosearch collections, topical weblinks and r},  author = {Drumond Monteiro, Silvana and Aparecida Moura, Maria},  issn = {09437444},  journal = {Knowledge Organization},  keywords = {KNOWLEDGE base, RESEARCH, SEMANTIC Web, WEB search engines, INTELLIGENT agents (Computer software), CYBERSPACE, Cyberspace, Knowledge Graph, semantic web, GOOGLE (Web resource)},  number = {6},  pages = {429 - 439},  title = {{Knowledge Graph and Semantization in Cyberspace: A Study of Contemporary Indexes.}},  volume = {41},  url = {http://libproxy.rpi.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=lxh&AN=101109432&site=eds-live&scope=site},  year = {2014},  }