TY - JOUR AU - Poelmans, Jonas AU - Ignatov, Dmitry I. AU - Kuznetsov, Sergei O. AU - Dedene, Guido T1 - Formal concept analysis in knowledge processing: A survey on applications JO - Expert Systems with Applications PY - 2013/ VL - 40 IS - 16 SP - 6538 EP - 6560 UR - http://www.sciencedirect.com/science/article/pii/S0957417413002959 M3 - http://dx.doi.org/10.1016/j.eswa.2013.05.009 KW - fca KW - literature KW - survey L1 - SN - N1 - Formal concept analysis in knowledge processing: A survey on applications N1 - AB - Abstract This is the second part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to support our literature analysis process. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. In this second part, we zoom in on and give an extensive overview of the papers published between 2003 and 2011 which applied FCA-based methods for knowledge discovery and ontology engineering in various application domains. These domains include software mining, web analytics, medicine, biology and chemistry data. ER - TY - JOUR AU - Poelmans, Jonas AU - Kuznetsov, Sergei O. AU - Ignatov, Dmitry I. AU - Dedene, Guido T1 - Formal Concept Analysis in knowledge processing: A survey on models and techniques JO - Expert Systems with Applications PY - 2013/ VL - 40 IS - 16 SP - 6601 EP - 6623 UR - http://www.sciencedirect.com/science/article/pii/S0957417413002935 M3 - http://dx.doi.org/10.1016/j.eswa.2013.05.007 KW - fca KW - literature KW - survey L1 - SN - N1 - Formal Concept Analysis in knowledge processing: A survey on models and techniques N1 - AB - Abstract This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to support our literature analysis process. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. In this first part, we zoom in on and give an extensive overview of the papers published between 2003 and 2011 on developing FCA-based methods for knowledge processing. We also give an overview of the literature on FCA extensions such as pattern structures, logical concept analysis, relational concept analysis, power context families, fuzzy FCA, rough FCA, temporal and triadic concept analysis and discuss scalability issues. ER - TY - CHAP AU - González Calabozo, JoséMaría AU - Peláez-Moreno, Carmen AU - Valverde-Albacete, FranciscoJosé A2 - Valtchev, Petko A2 - Jäschke, Robert T1 - Gene Expression Array Exploration Using K-Formal Concept Analysis T2 - Formal Concept Analysis PB - Springer Berlin Heidelberg CY - PY - 2011/ VL - 6628 IS - SP - 119 EP - 134 UR - http://dx.doi.org/10.1007/978-3-642-20514-9_11 M3 - 10.1007/978-3-642-20514-9_11 KW - fca KW - genes KW - literature L1 - SN - 978-3-642-20513-2 N1 - Gene Expression Array Exploration Using K-Formal Concept Analysis - Springer N1 - AB - DNA micro-arrays are a mechanism for eliciting gene expression values, the concentration of the transcription products of a set of genes, under different chemical conditions. The phenomena of interest—up-regulation, down-regulation and co-regulation—are hypothesized to stem from the functional relationships among transcription products. ER - TY - CHAP AU - Wray, Tim AU - Eklund, Peter A2 - Valtchev, Petko A2 - Jäschke, Robert T1 - Exploring the Information Space of Cultural Collections Using Formal Concept Analysis T2 - Formal Concept Analysis PB - Springer Berlin Heidelberg CY - PY - 2011/ VL - 6628 IS - SP - 251 EP - 266 UR - http://dx.doi.org/10.1007/978-3-642-20514-9_19 M3 - 10.1007/978-3-642-20514-9_19 KW - catalogue KW - fca KW - literature KW - museum L1 - SN - 978-3-642-20513-2 N1 - Exploring the Information Space of Cultural Collections Using Formal Concept Analysis - Springer N1 - AB - Within the cultural informatics community, there is a strong desire to mine and understand relationships within and among collections of objects. In this paper we describe a case study of applied ER - TY - CHAP AU - Metzler, Irina A2 - Rubiés, Joan-Pau T1 - Perceptions of Hot Climate in Medieval Cosmography and Travel Literature T2 - Medieval Ethnographies. European Perceptions of the World Beyond PB - CY - Farnham, Burlington PY - 2009/ VL - 9 IS - SP - 79 EP - 415 UR - M3 - KW - - KW - Climate KW - Cosmography KW - Erwartungen KW - Karten KW - Klima KW - Kosmographie KW - Literatur KW - Literature KW - Medieval KW - Perceptions KW - Reise KW - Reiseliteratur KW - Reisen KW - Travel KW - mittelalterlich L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Trant, Jennifer T1 - Studying Social Tagging and Folksonomy: A Review and Framework JO - Journal of Digital Information PY - 2009/ VL - 10 IS - 1 SP - EP - UR - https://journals.tdl.org/jodi/index.php/jodi/article/view/269 M3 - KW - literature KW - review KW - survey KW - tagging L1 - SN - N1 - Studying Social Tagging and Folksonomy: A Review and Framework | Trant | Journal of Digital Information N1 - AB - This paper reviews research into social tagging and folksonomy (as reflected in about 180 sources published through December 2007). Methods of researching the contribution of social tagging and folksonomy are described, and outstanding research questions are presented. This is a new area of research, where theoretical perspectives and relevant research methods are only now being defined. This paper provides a framework for the study of folksonomy, tagging and social tagging systems. Three broad approaches are identified, focusing first, on the folksonomy itself (and the role of tags in indexing and retrieval); secondly, on tagging (and the behaviour of users); and thirdly, on the nature of social tagging systems (as socio-technical frameworks). ER - TY - CHAP AU - Cattuto, Ciro AU - Benz, Dominik AU - Hotho, Andreas AU - Stumme, Gerd A2 - Sheth, Amit A2 - Staab, Steffen A2 - Dean, Mike A2 - Paolucci, Massimo A2 - Maynard, Diana A2 - Finin, Timothy A2 - Thirunarayan, Krishnaprasad T1 - Semantic Grounding of Tag Relatedness in Social Bookmarking Systems T2 - The Semantic Web - ISWC 2008 PB - Springer Berlin / Heidelberg CY - PY - 2008/ VL - 5318 IS - SP - 615 EP - 631 UR - http://tagora-project.eu/wp-content/2009/09/cattuto_iswc2008.pdf M3 - 10.1007/978-3-540-88564-1\_39 KW - 2008 KW - grounding KW - itegpub KW - l3s KW - literature KW - myown KW - pragmatic KW - relatedness KW - semantic KW - seminar KW - summer KW - tagging KW - wordnet L1 - SN - N1 - N1 - AB - Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptions on the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity in terms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of the investigated similarity measures and indicates which ones are better suited in the context of a given semantic application. ER - TY - CHAP AU - Ferré, Sébastien A2 - Kuznetsov, SergeiO. A2 - Schmidt, Stefan T1 - The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees T2 - Formal Concept Analysis PB - Springer Berlin Heidelberg CY - PY - 2007/ VL - 4390 IS - SP - 98 EP - 113 UR - http://dx.doi.org/10.1007/978-3-540-70901-5_7 M3 - 10.1007/978-3-540-70901-5_7 KW - fca KW - iccs KW - literature KW - substring L1 - SN - 978-3-540-70828-5 N1 - The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees - Springer N1 - AB - Strings are an important part of most real application multi-valued contexts. Their conceptual treatment requires the definition of ER - TY - CHAP AU - Lakhal, Lotfi AU - Stumme, Gerd A2 - Ganter, Bernhard A2 - Stumme, Gerd A2 - Wille, Rudolf T1 - Efficient Mining of Association Rules Based on Formal Concept Analysis T2 - Formal Concept Analysis PB - Springer Berlin Heidelberg CY - PY - 2005/ VL - 3626 IS - SP - 180 EP - 195 UR - http://dx.doi.org/10.1007/11528784_10 M3 - 10.1007/11528784_10 KW - association KW - fca KW - literature KW - rules KW - survey L1 - SN - 978-3-540-27891-7 N1 - Efficient Mining of Association Rules Based on Formal Concept Analysis - Springer N1 - AB - Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to ER - TY - JOUR AU - White, Howard D. AU - Griffith, Belver C. T1 - Author cocitation: A literature measure of intellectual structure JO - Journal of the American Society for Information Science PY - 1981/ VL - 32 IS - 3 SP - 163 EP - 171 UR - http://dx.doi.org/10.1002/asi.4630320302 M3 - 10.1002/asi.4630320302 KW - analysis KW - citation KW - literature KW - structure L1 - SN - N1 - N1 - AB - It is shown that the mapping of a particular area of science, in this case information science, can be done using authors as units of analysis and the cocitations of pairs of authors as the variable that indicates their “distances” from each other. The analysis assumes that the more two authors are cited together, the closer the relationship between them. The raw data are cocitation counts drawn online from Social Scisearch (Social Sciences Citation Index) over the period 1972–1979. The resulting map shows (1) identifiable author groups (akin to “schools”) of information science, (2) locations of these groups with respect to each other, (3) the degree of centrality and peripherality of authors within groups, (4) proximities of authors within group and across group boundaries (“border authors” who seem to connect various areas of research), and (5) positions of authors with respect to the map's axes, which were arbitrarily set spanning the most divergent groups in order to aid interpretation. Cocitation analysis of authors offers a new technique that might contribute to the understanding of intellectual structure in the sciences and possibly in other areas to the extent that those areas rely on serial publications. The technique establishes authors, as well as documents, as an effective unit in analyzing subject specialties. ER - TY - JOUR AU - Small, Henry T1 - Co-citation in the scientific literature: A new measure of the relationship between two documents JO - Journal of the American Society for Information Science PY - 1973/ VL - 24 IS - 4 SP - 265 EP - 269 UR - http://dx.doi.org/10.1002/asi.4630240406 M3 - 10.1002/asi.4630240406 KW - 10th KW - citation KW - cocitation KW - literature KW - scientific L1 - SN - N1 - Co-citation in the scientific literature: A new measure of the relationship between two documents - Small - 2007 - Journal of the American Society for Information Science - Wiley Online Library N1 - AB - A new form of document coupling called co-citation is defined as the frequency with which two documents are cited together. The co-citation frequency of two scientific papers can be determined by comparing lists of citing documents in the Science Citation Index and counting identical entries. Networks of co-cited papers can be generated for specific scientific specialties, and an example is drawn from the literature of particle physics. Co-citation patterns are found to differ significantly from bibliographic coupling patterns, but to agree generally with patterns of direct citation. Clusters of co-cited papers provide a new way to study the specialty structure of science. They may provide a new approach to indexing and to the creation of SDI profiles. ER -