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Abstract

In the future, frontier research in many fields will increasingly require the collaboration of globally distributed groups of researchers needing access to distributed computing, data resources and support for remote access to expensive, multi-national specialized facilities such as telescopes and accelerators or specialist data archives. There is also a general belief that an important road to innovation will be provided by multi-disciplinary and collaborative research - from bio-informatics and earth systems science to social science and archaeology. There will also be an explosion in the amount of research data collected in the next decade - 100's of Terabytes will be common in many fields. These future research requirements constitute the 'eResearch' agenda. Powerful software services will be widely deployed on top of the academic research networks to form the necessary 'Cyberinfrastructure' to provide a collaborative research environment for the global academic community. The difficulties in combining data and information from distributed sources, the multi-disciplinary nature of research and collaboration, and the need to move to present researchers with tooling that enable them to express what they want to do rather than how to do it highlight the need for an ecosystem of Semantic Computing technologies. Such technologies will further facilitate information sharing and discovery, will enable reasoning over information, and will allow us to start thinking about knowledge and how it can be handled by computers. This talk will review the elements of this vision and explain the need for semantic-oriented computing by exploring eResearch projects that have successfully applied relevant technologies. It will also suggest that a software + service model with scientific services delivered from the cloud will become an increasingly accepted model for research.

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Abstract

Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work. This thesis contains a detailed analysis of three specialized systems for the interactive exploration of large graphs, relating the intended tasks to the spatial layout and visual encoding choices. We present two novel algorithms for specialized layout and drawing that use quite different visual metaphors. The H3 system for visualizing the hyperlink structures of web sites scales to datasets of over 100,000 nodes by using a carefully chosen spanning tree as the layout backbone, 3D hyperbolic geometry for a Focus+Context view, and provides a fluid interactive experience through guaranteed frame rate drawing. The Constellation system features a highly specialized 2D layout intended to spatially encode domain-specific information for computational linguists checking the plausibility of a large semantic network created from dictionaries. The Planet Multicast system for displaying the tunnel topology of the Internet's multicast backbone provides a literal 3D geographic layout of arcs on a globe to help MBone maintainers find misconfigured long-distance tunnels. Each of these three systems provides a very different view of the graph structure, and we evaluate their efficacy for the intended task. We generalize these findings in our analysis of the importance of interactivity and specialization for graph visualization systems that are effective and scalable.

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Abstract

18 August 2009 -- Today W3C announces a new standard that builds a bridge between the world of knowledge organization systems - including thesauri, classifications, subject headings, taxonomies, and folksonomies - and the linked data community, bringing benefits to both. Libraries, museums, newspapers, government portals, enterprises, social networking applications, and other communities that manage large collections of books, historical artifacts, news reports, business glossaries, blog entries, and other items can now use Simple Knowledge Organization System (SKOS) to leverage the power of linked data. As different communities with expertise and established vocabularies use SKOS to integrate them into the Semantic Web, they increase the value of the information for everyone.

Content

SKOS Adapts to the Diversity of Knowledge Organization Systems A useful starting point for understanding the role of SKOS is the set of subject headings published by the US Library of Congress (LOC) for categorizing books, videos, and other library resources. These headings can be used to broaden or narrow queries for discovering resources. For instance, one can narrow a query about books on "Chinese literature" to "Chinese drama," or further still to "Chinese children's plays." Library of Congress subject headings have evolved within a community of practice over a period of decades. By now publishing these subject headings in SKOS, the Library of Congress has made them available to the linked data community, which benefits from a time-tested set of concepts to re-use in their own data. This re-use adds value ("the network effect") to the collection. When people all over the Web re-use the same LOC concept for "Chinese drama," or a concept from some other vocabulary linked to it, this creates many new routes to the discovery of information, and increases the chances that relevant items will be found. As an example of mapping one vocabulary to another, a combined effort from the STITCH, TELplus and MACS Projects provides links between LOC concepts and RAMEAU, a collection of French subject headings used by the Bibliothèque Nationale de France and other institutions. SKOS can be used for subject headings but also many other approaches to organizing knowledge. Because different communities are comfortable with different organization schemes, SKOS is designed to port diverse knowledge organization systems to the Web. "Active participation from the library and information science community in the development of SKOS over the past seven years has been key to ensuring that SKOS meets a variety of needs," said Thomas Baker, co-chair of the Semantic Web Deployment Working Group, which published SKOS. "One goal in creating SKOS was to provide new uses for well-established knowledge organization systems by providing a bridge to the linked data cloud." SKOS is part of the Semantic Web technology stack. Like the Web Ontology Language (OWL), SKOS can be used to define vocabularies. But the two technologies were designed to meet different needs. SKOS is a simple language with just a few features, tuned for sharing and linking knowledge organization systems such as thesauri and classification schemes. OWL offers a general and powerful framework for knowledge representation, where additional "rigor" can afford additional benefits (for instance, business rule processing). To get started with SKOS, see the SKOS Primer.

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Abstract

Relevance feedback was one of the first interactive information retrieval techniques to help systems learn more about users' interests. Relevance feedback has been used in a variety of IR applications including query expansion, term disambiguation, user profiling, filtering and personalization. Initial relevance feedback techniques were explicit, in that they required the user's active participation. Many of today's relevance feedback techniques are implicit and based on users' information seeking behaviors, such as the pages they choose to visit, the frequency with which they visit pages, and the length of time pages are displayed. Although this type of information is available in great abundance, it is difficult to interpret without understanding more about the user's search goals and context. In this talk, I will address the following questions: what techniques are available to help us learn about users' interests and preferences? What types of evidence are available through a user's interactions with the system and with the information provided by the system? What do we need to know to accurately interpret and use this evidence? I will address the first two questions by presenting an overview of relevance feedback research in information retrieval. I will address the third question by presenting results of some of my own research that examined the online information seeking behaviors of users during a 14-week period and the context in which these behaviors took place.

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Abstract

With the increasing requirement of establishing semantic mappings between different vocabularies, further development of these encoding formats is becoming more and more important. For this reason, four types of knowledge representation formats were assessed:MARC21 for Classification Data in XML, Zthes XML Schema, XTM(XML Topic Map), and SKOS (Simple Knowledge Organisation System). This paper explores the potential of adapting these representation formats to support different semantic mapping methods, and discusses the implication of extending them to represent more complex KOS.

Content

Präsentation während der Veranstaltung "Networked Knowledge Organization Systems and Services: The 6th European Networked Knowledge Organization Systems (NKOS) Workshop, Workshop at the 11th ECDL Conference, Budapest, Hungary, September 21st 2007".

Date

26.12.2011 13:22:27

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Abstract

In this presentation, we therefore focus on a solution for providing uniform access to Digital Libraries and other online services. In order to enable uniform query access to heterogeneous sources, we must provide metadata interoperability in a way that a query language - in this case SPARQL - can cope with the incompatibility of the metadata in various sources without changing their already existing information models.

Content

Präsentation während der Veranstaltung "Networked Knowledge Organization Systems and Services: The 6th European Networked Knowledge Organization Systems (NKOS) Workshop, Workshop at the 11th ECDL Conference, Budapest, Hungary, September 21st 2007".

Date

26.12.2011 13:22:46

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Abstract

While being theoretically so widely available, information can be restricted from a more general use by linguistic barriers. The linguistic aspects of the information languages and particularly the chances of an enhanced access to information by means of multilingual access facilities will make the substance of this thesis. The main problem of this research is thus to demonstrate that information retrieval can be improved by using multilingual thesaurus terms based on an intermediate or switching language to search with. Universal classification systems in general can play the role of switching languages for reasons dealt with in the forthcoming pages. The Universal Decimal Classification (UDC) in particular is the classification system used as example of a switching language for our objectives. The question may arise: why a universal classification system and not another thesaurus? Because the UDC like most of the classification systems uses symbols. Therefore, it is language independent and the problems of compatibility between such a thesaurus and different other thesauri in different languages are avoided. Another question may still arise? Why not then, assign running numbers to the descriptors in a thesaurus and make a switching language out of the resulting enumerative system? Because of some other characteristics of the UDC: hierarchical structure and terminological richness, consistency and control. One big problem to find an answer to is: can a thesaurus be made having as a basis a classification system in any and all its parts? To what extent this question can be given an affirmative answer? This depends much on the attributes of the universal classification system which can be favourably used to this purpose. Examples of different situations will be given and discussed upon beginning with those classes of UDC which are best fitted for building a thesaurus structure out of them (classes which are both hierarchical and faceted)...

Content

Inhalt: INFORMATION LANGUAGES: A LINGUISTIC APPROACH MULTILINGUAL ASPECTS IN INFORMATION STORAGE AND RETRIEVAL COMPATIBILITY AND CONVERTIBILITY OF INFORMATION LANGUAGES CURRENT TRENDS IN MULTILINGUAL ACCESS BUILDING UDC-BASED MULTILINGUAL THESAURI ONLINE APPLICATIONS OF THE UDC-BASED MULTILINGUAL THESAURI THE IMPACT OF SPECIFICITY ON THE RETRIEVAL POWER OF A UDC-BASED MULTILINGUAL THESAURUS FINAL REMARKS AND GENERAL CONCLUSIONS Proefschrift voorgelegd tot het behalen van de graad van doctor in de Taal- en Letterkunde aan de Universiteit Antwerpen. - Vgl.: http://dlist.sir.arizona.edu/1862/.

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Source

Journal of digital information. 4(2004) no.4, art.#257

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Abstract

The W3C OWL Web Ontology Language has been a W3C recommendation since 2004, and specification of its successor OWL 2 is being finalised. OWL plays an important role in an increasing number and range of applications and as experience using the language grows, new ideas for further extending its reach continue to be proposed. The OWL: Experiences and Direction (OWLED) workshop series is a forum for practitioners in industry and academia, tool developers, and others interested in OWL to describe real and potential applications, to share experience, and to discuss requirements for language extensions and modifications. The workshop will bring users, implementors and researchers together to measure the state of need against the state of the art, and to set an agenda for research and deployment in order to incorporate OWL-based technologies into new applications. This year's 2009 OWLED workshop will be co-located with the Eighth International Semantic Web Conference (ISWC), and the Third International Conference on Web Reasoning and Rule Systems (RR2009). It will be held in Chantilly, VA, USA on October 23 - 24, 2009. The workshop will concentrate on issues related to the development and W3C standardization of OWL 2, and beyond, but other issues related to OWL are also of interest, particularly those related to the task forces set up at OWLED 2007. As usual, the workshop will try to encourage participants to work together and will give space for discussions on various topics, to be decided and published at some point in the future. We ask participants to have a look at these topics and the accepted submissions before the workshop, and to prepare single "slides" that can be presented during these discussions. There will also be formal presentation of submissions to the workshop.

Content

Long Papers * Suggestions for OWL 3, Pascal Hitzler. * BestMap: Context-Aware SKOS Vocabulary Mappings in OWL 2, Rinke Hoekstra. * Mechanisms for Importing Modules, Bijan Parsia, Ulrike Sattler and Thomas Schneider. * A Syntax for Rules in OWL 2, Birte Glimm, Matthew Horridge, Bijan Parsia and Peter Patel-Schneider. * PelletSpatial: A Hybrid RCC-8 and RDF/OWL Reasoning and Query Engine, Markus Stocker and Evren Sirin. * The OWL API: A Java API for Working with OWL 2 Ontologies, Matthew Horridge and Sean Bechhofer. * From Justifications to Proofs for Entailments in OWL, Matthew Horridge, Bijan Parsia and Ulrike Sattler. * A Solution for the Man-Man Problem in the Family History Knowledge Base, Dmitry Tsarkov, Ulrike Sattler and Robert Stevens. * Towards Integrity Constraints in OWL, Evren Sirin and Jiao Tao. * Processing OWL2 ontologies using Thea: An application of logic programming, Vangelis Vassiliadis, Jan Wielemaker and Chris Mungall. * Reasoning in Metamodeling Enabled Ontologies, Nophadol Jekjantuk, Gerd Gröner and Jeff Z. Pan.
Short Papers * A Database Backend for OWL, Jörg Henss, Joachim Kleb and Stephan Grimm. * Unifying SysML and OWL, Henson Graves. * The OWLlink Protocol, Thorsten Liebig, Marko Luther and Olaf Noppens. * A Reasoning Broker Framework for OWL, Juergen Bock, Tuvshintur Tserendorj, Yongchun Xu, Jens Wissmann and Stephan Grimm. * Change Representation For OWL 2 Ontologies, Raul Palma, Peter Haase, Oscar Corcho and Asunción Gómez-Pérez. * Practical Aspects of Query Rewriting for OWL 2, Héctor Pérez-Urbina, Ian Horrocks and Boris Motik. * CSage: Use of a Configurable Semantically Attributed Graph Editor as Framework for Editing and Visualization, Lawrence Levin. * A Conformance Test Suite for the OWL 2 RL/RDF Rules Language and the OWL 2 RDF-Based Semantics, Michael Schneider and Kai Mainzer. * Improving the Data Quality of Relational Databases using OBDA and OWL 2 QL, Olivier Cure. * Temporal Classes and OWL, Natalya Keberle. * Using Ontologies for Medical Image Retrieval - An Experiment, Jasmin Opitz, Bijan Parsia and Ulrike Sattler. * Task Representation and Retrieval in an Ontology-Guided Modelling System, Yuan Ren, Jens Lemcke, Andreas Friesen, Tirdad Rahmani, Srdjan Zivkovic, Boris Gregorcic, Andreas Bartho, Yuting Zhao and Jeff Z. Pan. * A platform for reasoning with OWL-EL knowledge bases in a Peer-to-Peer environment, Alexander De Leon and Michel Dumontier. * Axiomé: a Tool for the Elicitation and Management of SWRL Rules, Saeed Hassanpour, Martin O'Connor and Amar Das. * SQWRL: A Query Language for OWL, Martin O'Connor and Amar Das. * Classifying ELH Ontologies In SQL Databases, Vincent Delaitre and Yevgeny Kazakov. * A Semantic Web Approach to Represent and Retrieve Information in a Corporate Memory, Ana B. Rios-Alvarado, R. Carolina Medina-Ramirez and Ricardo Marcelin-Jimenez. * Towards a Graphical Notation for OWL 2, Elisa Kendall, Roy Bell, Roger Burkhart, Mark Dutra and Evan Wallace.
Demo/Position Papers * Conjunctive Query Answering in Distributed Ontology Systems for Ontologies with Large OWL ABoxes, Xueying Chen and Michel Dumontier. * Node-Link and Containment Methods in Ontology Visualization, Julia Dmitrieva and Fons J. Verbeek. * A JC3IEDM OWL-DL Ontology, Steven Wartik. * Semantically Enabled Temporal Reasoning in a Virtual Observatory, Patrick West, Eric Rozell, Stephan Zednik, Peter Fox and Deborah L. McGuinness. * Developing an Ontology from the Application Up, James Malone, Tomasz Adamusiak, Ele Holloway, Misha Kapushesky and Helen Parkinson.

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Abstract

QVIZ will research and create a framework for visualizing and querying archival resources by a time-space interface based on maps and emergent knowledge structures. The framework will also integrate social software, such as wikis, in order to utilize knowledge in existing and new communities of practice. QVIZ will lead to improved information sharing and knowledge creation, easier access to information in a user-adapted context and innovative ways of exploring and visualizing materials over time, between countries and other administrative units. The common European framework for sharing and accessing archival information provided by the QVIZ project will open a considerably larger commercial market based on archival materials as well as a richer understanding of European history.

Content

Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".

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Abstract

In 2004, the German Federal Ministry for Education and Research funded a major terminology mapping initiative at the GESIS Social Science Information Centre in Bonn (GESIS-IZ), which will find its conclusion this year. The task of this terminology mapping initiative was to organize, create and manage 'crossconcordances' between major controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. Cross-concordances are intellectually (manually) created crosswalks that determine equivalence, hierarchy, and association relations between terms from two controlled vocabularies. Most vocabularies have been related bilaterally, that is, there is a cross-concordance relating terms from vocabulary A to vocabulary B as well as a cross-concordance relating terms from vocabulary B to vocabulary A (bilateral relations are not necessarily symmetrical). Till August 2007, 24 controlled vocabularies from 11 disciplines will be connected with vocabulary sizes ranging from 2,000 - 17,000 terms per vocabulary. To date more than 260,000 relations are generated. A database including all vocabularies and cross-concordances was built and a 'heterogeneity service' developed, a web service, which makes the cross-concordances available for other applications. Many cross-concordances are already implemented and utilized for the German Social Science Information Portal Sowiport (www.sowiport.de), which searches bibliographical and other information resources (incl. 13 databases with 10 different vocabularies and ca. 2.5 million references).
In the final phase of the project, a major evaluation effort is under way to test and measure the effectiveness of the vocabulary mappings in an information system environment. Actual user queries are tested in a distributed search environment, where several bibliographic databases with different controlled vocabularies are searched at the same time. Three query variations are compared to each other: a free-text search without focusing on using the controlled vocabulary or terminology mapping; a controlled vocabulary search, where terms from one vocabulary (a 'home' vocabulary thought to be familiar to the user of a particular database) are used to search all databases; and finally, a search, where controlled vocabulary terms are translated into the terms of the respective controlled vocabulary of the database. For evaluation purposes, types of cross-concordances are distinguished between intradisciplinary vocabularies (vocabularies within the social sciences) and interdisciplinary vocabularies (social sciences to other disciplines as well as other combinations). Simultaneously, an extensive quantitative analysis is conducted aimed at finding patterns in terminology mappings that can explain trends in the effectiveness of terminology mappings, particularly looking at overlapping terms, types of determined relations (equivalence, hierarchy etc.), size of participating vocabularies, etc. This project is the largest terminology mapping effort in Germany. The number and variety of controlled vocabularies targeted provide an optimal basis for insights and further research opportunities. To our knowledge, terminology mapping efforts have rarely been evaluated with stringent qualitative and quantitative measures. This research should contribute in this area. For the NKOS workshop, we plan to present an overview of the project and participating vocabularies, an introduction to the heterogeneity service and its application as well as some of the results and findings of the evaluation, which will be concluded in August.

Content

Präsentation während der Veranstaltung "Networked Knowledge Organization Systems and Services: The 6th European Networked Knowledge Organization Systems (NKOS) Workshop, Workshop at the 11th ECDL Conference, Budapest, Hungary, September 21st 2007".

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Abstract

Ontologies improve IR systems regarding its retrieval and presentation of information, which make the task of finding information more effective, efficient, and interactive. In this paper we argue that ontologies also greatly improve the engineering of such systems. We created a framework that uses ontology to drive the process of engineering an IR system. We developed a prototype that shows how a domain specialist without knowledge in the IR field can build an IR system with interactive components. The resulting system provides support for users not only to find their information needs but also to extend their state of knowledge. This way, our approach to ontology-enabled information retrieval addresses both the engineering aspect described here and also the usability aspect described elsewhere.

Date

28.11.2016 12:43:22

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Abstract

Consider a sentence such as "the current price of tea in China is 35 cents per pound." In a library with millions of books we might find many statements of the above form that we could capture today with relatively simple rules: rather than pursuing every variation of a statement, programs can wait, like predators at a water hole, for their informational prey to reappear in a standard linguistic pattern. We can make inferences from sentences such as "NAME1 born at NAME2 in DATE" that NAME more likely than not represents a person and NAME a place and then convert the statement into a proposition about a person born at a given place and time. The changing price of tea in China, pedestrian birth and death dates, or other basic statements may not be truth and beauty in the Phaedrus, but a digital library that could plot the prices of various commodities in different markets over time, plot the various lifetimes of individuals, or extract and classify many events would be very useful. Services such as the Syllabus Finder1 and H-Bot2 (which Dan Cohen describes elsewhere in this issue of D-Lib) represent examples of information extraction already in use. H-Bot, in particular, builds on our evolving ability to extract information from very large corpora such as the billions of web pages available through the Google API. Aside from identifying higher order statements, however, users also want to search and browse named entities: they want to read about "C. P. E. Bach" rather than his father "Johann Sebastian" or about "Cambridge, Maryland", without hearing about "Cambridge, Massachusetts", Cambridge in the UK or any of the other Cambridges scattered around the world. Named entity identification is a well-established area with an ongoing literature. The Natural Language Processing Research Group at the University of Sheffield has developed its open source Generalized Architecture for Text Engineering (GATE) for years, while IBM's Unstructured Information Analysis and Search (UIMA) is "available as open source software to provide a common foundation for industry and academia." Powerful tools are thus freely available and more demanding users can draw upon published literature to develop their own systems. Major search engines such as Google and Yahoo also integrate increasingly sophisticated tools to categorize and identify places. The software resources are rich and expanding. The reference works on which these systems depend, however, are ill-suited for historical analysis. First, simple gazetteers and similar authority lists quickly grow too big for useful information extraction. They provide us with potential entities against which to match textual references, but existing electronic reference works assume that human readers can use their knowledge of geography and of the immediate context to pick the right Boston from the Bostons in the Getty Thesaurus of Geographic Names (TGN), but, with the crucial exception of geographic location, the TGN records do not provide any machine readable clues: we cannot tell which Bostons are large or small. If we are analyzing a document published in 1818, we cannot filter out those places that did not yet exist or that had different names: "Jefferson Davis" is not the name of a parish in Louisiana (tgn,2000880) or a county in Mississippi (tgn,2001118) until after the Civil War.
Although the Alexandria Digital Library provides far richer data than the TGN (5.9 vs. 1.3 million names), its added size lowers, rather than increases, the accuracy of most geographic name identification systems for historical documents: most of the extra 4.6 million names cover low frequency entities that rarely occur in any particular corpus. The TGN is sufficiently comprehensive to provide quite enough noise: we find place names that are used over and over (there are almost one hundred Washingtons) and semantically ambiguous (e.g., is Washington a person or a place?). Comprehensive knowledge sources emphasize recall but lower precision. We need data with which to determine which "Tribune" or "John Brown" a particular passage denotes. Secondly and paradoxically, our reference works may not be comprehensive enough. Human actors come and go over time. Organizations appear and vanish. Even places can change their names or vanish. The TGN does associate the obsolete name Siam with the nation of Thailand (tgn,1000142) - but also with towns named Siam in Iowa (tgn,2035651), Tennessee (tgn,2101519), and Ohio (tgn,2662003). Prussia appears but as a general region (tgn,7016786), with no indication when or if it was a sovereign nation. And if places do point to the same object over time, that object may have very different significance over time: in the foundational works of Western historiography, Herodotus reminds us that the great cities of the past may be small today, and the small cities of today great tomorrow (Hdt. 1.5), while Thucydides stresses that we cannot estimate the past significance of a place by its appearance today (Thuc. 1.10). In other words, we need to know the population figures for the various Washingtons in 1870 if we are analyzing documents from 1870. The foundations have been laid for reference works that provide machine actionable information about entities at particular times in history. The Alexandria Digital Library Gazetteer Content Standard8 represents a sophisticated framework with which to create such resources: places can be associated with temporal information about their foundation (e.g., Washington, DC, founded on 16 July 1790), changes in names for the same location (e.g., Saint Petersburg to Leningrad and back again), population figures at various times and similar historically contingent data. But if we have the software and the data structures, we do not yet have substantial amounts of historical content such as plentiful digital gazetteers, encyclopedias, lexica, grammars and other reference works to illustrate many periods and, even if we do, those resources may not be in a useful form: raw OCR output of a complex lexicon or gazetteer may have so many errors and have captured so little of the underlying structure that the digital resource is useless as a knowledge base. Put another way, human beings are still much better at reading and interpreting the contents of page images than machines. While people, places, and dates are probably the most important core entities, we will find a growing set of objects that we need to identify and track across collections, and each of these categories of objects will require its own knowledge sources. The following section enumerates and briefly describes some existing categories of documents that we need to mine for knowledge. This brief survey focuses on the format of print sources (e.g., highly structured textual "database" vs. unstructured text) to illustrate some of the challenges involved in converting our published knowledge into semantically annotated, machine actionable form.

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Abstract

Taxonomies are an important part of any knowledge management (KM) system, and automatic classification software is emerging as a "killer app" for consumer and enterprise portals. A number of companies such as Inxight Software , Mohomine, Metacode, and others claim to interpret the semantic content of any textual document and automatically classify text on the fly. The promise that software could automatically produce a Yahoo-style directory is a siren call not many IT managers are able to resist. KM needs have grown more complex due to the increasing amount of digital information, the declining effectiveness of keyword searching, and heterogeneous document formats in corporate databases. This environment requires innovative KM tools, and automatic classification technology is an example of this new kind of software. These products can be divided into three categories according to their underlying technology - rules-based, catalog-by-example, and statistical clustering. Evolving trends in this market include framing classification as a cyborg (computer- and human-based) activity and the increasing use of extensible markup language (XML) and support vector machine (SVM) technology. In this article, we'll survey the rapidly changing automatic classification software market and examine the features and capabilities of leading classification products.

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Abstract

This paper evaluates the use of an explicit domain ontology in an information retrieval tool. The evaluation compares the performance of ontology-enhanced retrieval with keyword retrieval for a fixed set of queries across several data sets. The robustness of the IR approach is assessed by comparing the performance of the tool on the original data set with that on previously unseen data.

Content

Beitrag für: Workshop on the Applications of Ontologies and Problem-Solving Methods, (eds) Gómez-Pérez, A., Benjamins, V.R., Guarino, N., and Uschold, M. European Conference on Artificial Intelligence 2000, Berlin.

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Abstract

In the present work we discuss opportunities, problems, tools and techniques encountered when interconnecting discipline-specific subject classifications, primarily organized as search devices in bibliographic databases, with general classifications originally devised for book shelving in public libraries. We first state the fundamental distinction between topical (or subject) classifications and object classifications. Then we trace the structural limitations that have constrained subject classifications since their library origins, and the devices that were used to overcome the gap with genuine knowledge representation. After recalling some general notions on structure, dynamics and interferences of subject classifications and of the objects they refer to, we sketch a synthetic overview on discipline-specific classifications in Mathematics, Computing and Physics, on one hand, and on general classifications on the other. In this setting we present The Scientific Classifications Page, which collects groups of Web pages produced by a pool of software tools for developing hypertextual presentations of single or paired subject classifications from sequential source files, as well as facilities for gathering information from KWIC lists of classification descriptions. Further we propose a concept-oriented methodology for interconnecting subject classifications, with the concrete support of a relational analysis of the whole Mathematics Subject Classification through its evolution since 1959. Finally, we recall a very basic method for interconnection provided by coreference in bibliographic records among index elements from different systems, and point out the advantages of establishing the conditions of a more widespread application of such a method. A part of these contents was presented under the title Mathematics Subject Classification and related Classifications in the Digital World at the Eighth International Conference Crimea 2001, "Libraries and Associations in the Transient World: New Technologies and New Forms of Cooperation", Sudak, Ukraine, June 9-17, 2001, in a special session on electronic libraries, electronic publishing and electronic information in science chaired by Bernd Wegner, Editor-in-Chief of Zentralblatt MATH.

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Content

"Although the Dewey Decimal Classification is currently available on the web to subscribers as WebDewey and Abridged WebDewey in the OCLC Connexion service and in an XML version to licensees, OCLC does not provide any "web services" based on the DDC. By web services, we mean presentation of the DDC to other machines (not humans) for uses such as searching, browsing, classifying, mapping, harvesting, and alerting. In order to build web-accessible services based on the DDC, several elements have to be considered. One of these elements is the design of an appropriate Uniform Resource Identifier (URI) structure for Dewey. The design goals of mapping the entity model of the DDC into an identifier space can be summarized as follows: * Common locator for Dewey concepts and associated resources for use in web services and web applications * Use-case-driven, but not directly related to and outlasting a specific use case (persistency) * Retraceable path to a concept rather than an abstract identification, reusing a means of identification that is already present in the DDC and available in existing metadata. We have been working closely with our colleagues in the OCLC Office of Research (especially Andy Houghton as well as Eric Childress, Diane Vizine-Goetz, and Stu Weibel) on a preliminary identifier syntax. The basic identifier format we are currently exploring is: http://dewey.info/{aspect}/{object}/{locale}/{type}/{version}/{resource} where * {aspect} is the aspect associated with an {object}-the current value set of aspect contains "concept", "scheme", and "index"; additional ones are under exploration * {object} is a type of {aspect} * {locale} identifies a Dewey translation * {type} identifies a Dewey edition type and contains, at a minimum, the values "edn" for the full edition or "abr" for the abridged edition * {version} identifies a Dewey edition version * {resource} identifies a resource associated with an {object} in the context of {locale}, {type}, and {version}
Some examples of identifiers for concepts follow: <http://dewey.info/concept/338.4/en/edn/22/> This identifier is used to retrieve or identify the 338.4 concept in the English-language version of Edition 22. <http://dewey.info/concept/338.4/de/edn/22/> This identifier is used to retrieve or identify the 338.4 concept in the German-language version of Edition 22. <http://dewey.info/concept/333.7-333.9/> This identifier is used to retrieve or identify the 333.7-333.9 concept across all editions and language versions. <http://dewey.info/concept/333.7-333.9/about.skos> This identifier is used to retrieve a SKOS representation of the 333.7-333.9 concept (using the "resource" element). There are several open issues at this preliminary stage of development: Use cases: URIs need to represent the range of statements or questions that could be submitted to a Dewey web service. Therefore, it seems that some general questions have to be answered first: What information does an agent have when coming to a Dewey web service? What kind of questions will such an agent ask? Placement of the {locale} component: It is still an open question if the {locale} component should be placed after the {version} component instead (<http://dewey.info/concept/338.4/edn/22/en>) to emphasize that the most important instantiation of a Dewey class is its edition, not its language version. From a services point of view, however, it could make more sense to keep the current arrangement, because users are more likely to come to the service with a present understanding of the language version they are seeking without knowing the specifics of a certain edition in which they are trying to find topics. Identification of other Dewey entities: The goal is to create a locator that does not answer all, but a lot of questions that could be asked about the DDC. Which entities are missing but should be surfaced for services or user agents? How will those services or agents interact with them? Should some entities be rendered in a different way as presented? For example, (how) should the DDC Summaries be retrievable? Would it be necessary to make the DDC Manual accessible through this identifier structure?"

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Abstract

The focus of this paper is an quality of ontologies as they relate to interoperating information systems. Quality is not a property of something but a judgment, so must be relative to some purpose, and generally involves recognition of design tradeoffs. Ontologies used for information systems interoperability have much in common with classification systems in information science, knowledge based systems, and programming languages, and inherit quality characteristics from each of these older areas. Factors peculiar to the new field lead to some additional characteristics relevant to quality, some of which are more profitably considered quality aspects not of the ontology as such, but of the environment through which the ontology is made available to its users. Suggestions are presented as to how to use these Factors in producing quality ontologies.

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Content

Präsentation während der Veranstaltung "Networked Knowledge Organization Systems and Services: The 6th European Networked Knowledge Organization Systems (NKOS) Workshop, Workshop at the 11th ECDL Conference, Budapest, Hungary, September 21st 2007".

Date

26.12.2011 13:22:07

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Abstract

The International DOI Foundation (IDF) recently published the third edition of its DOI Handbook, which sets the scene for DOI's expansion into much wider applications. Edition 3 is not simply an updated user guide. A great deal has happened in the underlying technologies and in the practical deployment and development of DOIs (Digital Object Identifiers) since the last edition was published a year ago. Much of the program of technical work foreseen at the inception of DOIs has now been completed. The initial simple implementation of DOI as a persistent name linked to redirection continues to grow, with approaching ten million DOIs assigned from several hundred organisations through a number of Registration Agencies in USA, Europe, and Australasia, supporting large scale business uses. Implementations of more sophisticated applications (offering associated services) have been developing well but on a smaller scale: a framework for building these has been completed as part of the latest release and promises to stimulate a new wave of growth. From its original starting point in text publishing, there has been gradual embrace by a number of communities: these include national libraries (a consortium of national libraries recently joined the IDF); government documentation (with the appointment of TSO The Stationery Office in the UK as a DOI agency and the announced intention of the EC Office of Publications to use DOIs); non-English language markets (France, Germany, Spain, Italy, Korea). However implementations in non-text sectors have been far slower to develop, though several are now under discussion. The DOI community can point to several significant achievements over the past few years: * A practical successful open implementation of naming objects, treating content as information objects, not simply packets of bits; * The IDF's role in co-sponsoring, championing, and now implementing the <indecs>T framework as a semantic tool for structured metadata - an essential step for treating content as information in Semantic-Web-like applications; * A template for building advanced applications, connecting resolution and metadata technologies, and offering hooks to web services and similar applications; * The development of a policy framework that allows multiple communities autonomy; * The practical implementation of DOIs with emerging related standards such as the OpenURL framework in contextual linking.
A number of issues remain to be solved. In the main these are no longer technical in nature, but more concerned with perception and outreach to other communities. They include: correctly positioning the DOI in the standards community as a practical implementation (based on standards, but more than standards); offering the benefits of DOI to other communities working in related identifier development whilst allowing them to remain largely autonomous; demonstrating how DOIs can complement, rather than compete with, other activities; and ensuring that a sustainable long-term infrastructure for any application (commercial and non-commercial alike) is in place. Persistent, actionable identifiers with a fully managed sustainable infrastructure are not appropriate for every activity; but they are suitable for many, and where they are used, the key to providing a successful and widely adopted system is encouraging economy of scale (and so, where possible, convergence with other related efforts), flexibility of use, and a low barrier to use. DOI is well on the way to providing this, but not yet guaranteed of success without the further effort that is now being applied.