Search (140 results, page 1 of 7)

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Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

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Abstract

This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

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Abstract

This paper presents a crowd-sourced classification of knowledge organization systems based on open knowledge base Wikidata. The focus is less on the current result in its rather preliminary form but on the environment and process of categorization in Wikidata and the extraction of KOS from the collaborative database. Benefits and disadvantages are summarized and discussed for application to knowledge organization of other subject areas with Wikidata.

Pages

S.15-22

Source

Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]

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Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

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Date

22. 4.2017 10:42:05
22. 4.2017 10:48:38

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Date

22. 6.2015 16:08:38

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Date

22. 6.2018 11:04:35

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Date

22. 6.2018 14:22:02

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Abstract

Suchmaschinen befinden sich einerseits in einem beständigen Wandel. Andererseits gibt es immer wieder Entwicklungen, die die Suche "auf eine neue Ebene" heben. Eine solche Entwicklung, die wir zurzeit erleben, wird unter dem Label "Next Generation Search Systems" geführt. Der Begriff fasst die Veränderungen durch eine Vielfalt von Geräten und Eingabemöglichkeiten, die Verfügbarkeit von Verhaltensdaten en masse und den Wandel von Dokumenten zu Antworten zusammen.

Footnote

Bezug zum Buch: White, R.: Interactions with search systems. New York ; Cambridge University Press ; 2016.

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Date

22. 2.2017 12:51:57

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Date

13.12.2017 14:17:22

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Date

10. 2.2016 17:22:23

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Date

22. 2.2019 11:45:19

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Content

Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09

Date

22. 2.2017 13:00:42

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Abstract

Icon system could represent an efficient solution for collective iconic categorization of knowledge by providing graphical interpretation. Their pictorial characters assist visualizing the structure of text to become more understandable beyond vocabulary obstacle. In this paper we are proposing a Knowledge Engineering (KM) based iconic representation approach. We assume that these systematic icons improve collective knowledge management. Meanwhile, text (constructed under our knowledge management model - Hypertopic) helps to reduce the diversity of graphical understanding belonging to different users. This "position paper" also prepares to demonstrate our hypothesis by an "iconic social tagging" experiment which is to be accomplished in 2011 with UTT students. We describe the "socio semantic web" information portal involved in this project, and a part of the icons already designed for this experiment in Sustainability field. We have reviewed existing theoretical works on icons from various origins, which can be used to lay the foundation of robust "icons systems".

Content

Vgl.: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5928690. Vgl. auch: Special Issue on CTS 2011 at Elsevier's Future Generation Computer Systems Journal - http://www.elsevier.com/wps/find/journaldescription.cws_home/505611/description)

Source

Collaboration Technologies and Systems (CTS), 2011 International Conference on Collaboration Technologies and Systems (CTS 2011), May 23-27, 2011,The Sheraton University City Hotel, Philadelphia, Pennsylvania, USA

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Abstract

The formal structure of the information on the Semantic Web lends itself to faceted browsing, an information retrieval method where users can filter results based on the values of properties ("facets"). Numerous faceted browsers have been created to browse RDF and Linked Data, but these systems use their own ontologies for defining how data is queried to populate their facets. Since the source data is the same format across these systems (specifically, RDF), we can unify the different methods of describing how to quer the underlying data, to enable compatibility across systems, and provide an extensible base ontology for future systems. To this end, we present FacetOntology, an ontology that defines how to query data to form a faceted browser, and a number of transformations and filters that can be applied to data before it is shown to users. FacetOntology overcomes limitations in the expressivity of existing work, by enabling the full expressivity of SPARQL when selecting data for facets. By applying a FacetOntology definition to data, a set of facets are specified, each with queries and filters to source RDF data, which enables faceted browsing systems to be created using that RDF data.

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Abstract

Since the 90s, we have seen an explosion of information and with it there is an increase in the need for data and information aggregation systems that store and manage information. However, most of the information sources apply different Knowledge Organizations Systems (KOS) to describe the content of stored data. This heterogeneous mix of KOS in different systems complicate access and seamless sharing of information and knowledge. Concordances also known as cross-concordances or terminology mappings map different (KOS) to each other for improvement of information retrieval in such heterogeneous mix of systems. (Mayr 2010, Keil 2012). Also for coherent indexing with different terminologies, mappings are considered to be a valuable and essential working tool. However, despite efforts at standardization (e.g. SKOS, ISO 25964-2, Keil 2012, Soergel 2011); there is a significant scarcity of concordances that has led an inability to establish uniform exchange formats as well as methods and tools for maintaining mappings and making them easily accessible. This is particularly true in the field of library classification schemes. In essence, there is a lack of infrastructure for provision/exchange of concordances, their management and quality assessment as well as tools that would enable semi-automatic generation of mappings. The project "coli-conc" therefore aims to address this gap by creating the necessary infrastructure. This includes the specification of a data format for exchange of concordances (JSKOS), specification and implementation of web APIs to query concordance databases (JSKOS-API), and a modular web application to enable uniform access to knowledge organization systems, concordances and concordance assessments (Cocoda).
The focus of the project "coli-conc" lies in semi-automatic creation of mappings between different KOS in general and the two important library classification schemes in particular - Dewey classification system (DDC) and Regensburg classification system (RVK). In the year 2000, the national libraries of Germany, Austria and Switzerland adopted DDC in an endeavor to develop a nation-wide classification scheme. But historically, in the German speaking regions, the academic libraries have been using their own home-grown systems, the most prominent and popular being the RVK. However, with the launch of DDC, building concordances between DDC and RVK has become an imperative, although it is still rare. The delay in building comprehensive concordances between these two systems has been because of major challenges posed by the sheer largeness of these two systems (38.000 classes in DDC and ca. 860.000 classes in RVK), the strong disparity in their respective structure, the variation in the perception and representation of the concepts. The challenge is compounded geometrically for any manual attempt in this direction. Although there have been efforts on automatic mappings (OAEI Library Track 2012 -- 2014 and e.g. Pfeffer 2013) in the recent years; such concordances carry the risks of inaccurate mappings, and the approaches are rather more suitable for mapping suggestions than for automatic generation of concordances (Lauser 2008; Reiner 2010). The project "coli-conc" will facilitate the creation, evaluation, and reuse of mappings with a public collection of concordances and a web application of mapping management. The proposed presentation will give an introduction to the tools and standards created and planned in the project "coli-conc". This includes preliminary work on DDC concordances (Balakrishnan 2013), an overview of the software concept, technical architecture (Voß 2015) and a demonstration of the Cocoda web application.

Content

Vortrag anlässlich: 14th European Networked Knowledge Organization Systems (NKOS) Workshop, TPDL 2015 Conference in Poznan, Poland, Friday 18th September 2015. Vgl. auch: http://eprints.rclis.org/28007/. Vgl. auch: http://coli-conc.gbv.de/.

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Abstract

This dissertation investigates the social and technological factors of collaboratively organizing information in commons-based peer production systems. To do so, it analyzes the diverse strategies that members of Wikimedia Foundation (WMF) project communities use to organize information. Key findings from this dissertation show that conceptual structures of information organization are encoded into the infrastructure of WMF projects. The fact that WMF projects are commons-based peer production systems means that we can inspect the code that enables these systems, but a specific type of technical literacy is required to do so. I use three methods in this dissertation. I conduct a qualitative content analysis of the discussions surrounding the design, implementation and evaluation of the category system; a quantitative analysis using descriptive statistics of patterns of editing among editors who contributed to the code of templates for information boxes; and a close reading of the infrastructure used to create the category system, the infobox templates, and the knowledge base of structured data.

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Abstract

An event is a specific occurrence involving participants, which is a typed, n-ary association of entities or other events, each identified as a participant in a specific semantic role in the event (Pyysalo et al. 2012; Linguistic Data Consortium 2005). Event types may vary across domains. Representing relationships between events can facilitate the understanding of knowledge in complex systems (such as economic systems, human body, social systems). In the simplest form, an event can be represented as Entity A <Relation> Entity B. This paper evaluates several knowledge organization and visualization models and tools, such as concept maps (Cmap), topic maps (Ontopia), network analysis models (Gephi), and ontology (Protégé), then proposes an event relationship model that aims to integrate the strengths of these models, and can represent complex knowledge expressed in events and their relationships.

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Date

13. 2.2011 20:22:23