Search (180 results, page 1 of 9)

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Content

Enthält u.a. die Beiträge: Liu, S., F. Liu u. C. Yu u.a.: An effective approach to document retrieval via utilizing WordNet and recognizing phrases; Lau, R.Y.K., P.D. Bruza u. D. Song: Belief revision for adaptive information retrieval; Kokiopoulou, E., Y. Saad: Polynomial filtering in Latent semantic indexing for information retrieval; He, X., D. Cai u. H. Liu u.a.: Locality preserving indexing for document representation; Tang, C., S. Dwarkadas u. Z. Xu u.a.: On scaling Latent semantic indexing for large peer-to peer systems; Yu, W., Y. Gong: Document clustering by concept factorization; Kazai, G., M. Lalmas: The overlap problem in content-oriented XML retrieval evaluation; Kamps, J., M. de Rijke u. B. Sigurbjörnsson: Length normalization in XML retrieval; Liu, A., Q. Zou u. W.W. Chu: Configurable indexing and ranking for XML information retrieval; Zhang, L., Y. Pan u. T. Zhang: Focused named entity recognition using machine learning; Xu, J., R. Weischedel u. A. Licuanan: Evaluation of an extraction-based approach to answering definitional questions; Chieu, H.L., Y.K. Lee: Query based event extraction along a timeline; Yu, K., V. Tresp u. S. Yu: A nonparametric hierarchical Bayesian framework for information filtering; Liu, X., W.B. Croft: Cluster-based retrieval using language models; Silvestri, F., A. Orlando u. R. Perego: Assigning identifters to documents to enhance the clustering property of fulltext indexes; Amitay, E., D. Carmel u. R. Lempel u.a.: Scaling IR-system evaluation using Term Relevance Sets; Buckley, C., E.M. Voorhees: Retrieval evaluation with incomplete information; Cheng, P.J., J.W. Teng u. R.C. Chen u.a.: Translating unknown queries with Web corpora for cross-language information languages; Fan, J., Y. Gao u. H. Luo u.a.: Automatic image automation by using concept-sensitive salient objects for image content representation; Amitay, E., N. Har'El u. R. Sivian u.a.: Web-a-Where: geotagging web content; Shen, D., Z. Chen u. Q. Yang u.a.: Web page classification through summarization; McLaughlin, M.R., J.L. Herlocker: A collaborative filtering algorithm and evaluation metric that accurately model the user experience; Fan, W., M. Luo u. L. Wang u.a.: Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval.

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Abstract

Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

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Content

Enthält die Beiträge: GRAINGER, J. u. A.M. JACOBS: On localist connectionism and psychological science; HOUGHTON, G. u. S.P. TIPPER: A model of selective attention as a mechanism of cognitive model; BURTON, A.M.: A model of human face recognition; FRAUENFELDER, U.H. u. G. PEETERS: Simulating the time course of spoken word recognition: an analysis of lexical competition in TRACE; JACOBS, A.M. u.a.: MROM-p: an interactive activation, multiple readabout model of orthographic and phonological processes in visual word recognition; DIJKSTRA, T. u. W.J.B. van HEUVEN: The BIA model and bilingual word recognition; PAGE, M. u. D. NORRIS: Modeling immediate serial recall with a localist implementation of the primacy model; SCHADE, U. u. H.-J. EIKMEYER: Modeling the production of object spectifications; GOLDSTONE, R.L.: Hanging together: a connectionist model of similarity; MYUNG, J. u. A.A. PITT: Issues in selecting mathematical models of cognition

Date

1. 6.1999 19:50:22

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Abstract

This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.

Content

Inhalt: Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking / Nürnberger, Andreas (et al.) - Recommending Web Pages Using Item-Based Collaborative Filtering Approaches / Cadegnani, Sara (et al.) - Processing Keyword Queries Under Access Limitations / Calì, Andrea (et al.) - Balanced Large Scale Knowledge Matching Using LSH Forest / Cochez, Michael (et al.) - Improving css-KNN Classification Performance by Shifts in Training Data / Draszawka, Karol (et al.) - Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features / HaCohen-Kerner, Yaakov (et al.) - Mining Workflow Repositories for Improving Fragments Reuse / Harmassi, Mariem (et al.) - AgileDBLP: A Search-Based Mobile Application for Structured Digital Libraries / Ifrim, Claudia (et al.) - Support of Part-Whole Relations in Query Answering / Kozikowski, Piotr (et al.) - Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors / Mughaz, Dror (et al.) - Visualization of Uncertainty in Tag Clouds / Platis, Nikos (et al.) - Multimodal Image Retrieval Based on Keywords and Low-Level Image Features / Pobar, Miran (et al.) - Toward Optimized Multimodal Concept Indexing / Rekabsaz, Navid (et al.) - Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives / Souza, Tarcisio (et al.) - Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian / Stankovic, Ranka (et al.) - Domain-Specific Modeling: Towards a Food and Drink Gazetteer / Tagarev, Andrey (et al.) - Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications / Zhou, Yiwei (et al.)

Date

1. 2.2016 18:25:22

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Content

Inhalt: A. Grundsätzliche Fragen (aus dem Umfeld) der Wissensorganisation Markus Gottwald, Matthias Klemm und Jan Weyand: Warum ist es schwierig, Wissen zu managen? Ein soziologischer Deutungsversuch anhand eines Wissensmanagementprojekts in einem Großunternehmen H. Peter Ohly: Wissenskommunikation und -organisation. Quo vadis? Helmut F. Spinner: Wissenspartizipation und Wissenschaftskommunikation in drei Wissensräumen: Entwurf einer integrierten Theorie B. Dokumentationssprachen in der Anwendung Felix Boteram: Semantische Relationen in Dokumentationssprachen vom Thesaurus zum semantischen Netz Jessica Hubrich: Multilinguale Wissensorganisation im Zeitalter der Globalisierung: das Projekt CrissCross Vivien Petras: Heterogenitätsbehandlung und Terminology Mapping durch Crosskonkordanzen - eine Fallstudie Manfred Hauer, Uwe Leissing und Karl Rädler: Query-Expansion durch Fachthesauri Erfahrungsbericht zu dandelon.com, Vorarlberger Parlamentsinformationssystem und vorarlberg.at

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Content

Themes and questions threaded throughout the conference papers and panels addressed the uniqueness of LIS as a contemporary "intersection of information, technology, people, and society" (CoLIS Proceedings Preface). Papers by Birger Hjørland and by Sanna Talja, Kimmo Tuominen, and Reijo Savolainen directly addressed the essential nature and metatheory of LIS as a field of inquiry by reviewing its theoretical models and epistemological perspectives, such as the information transfer model and socio-cognitive theory. The cognitive grounding of much LIS research was present in Pertti Vakkari's and Mikko Pennanen's study linking university students' concept formation with their search processes and task performances while preparing research proposals, as well as in Peter Ingwersen's analysis of the cognitive conception of document polyrepresentation (multiple ways of representing documents) applied to information retrieval. A number of papers presented empirically and theoretically derived taxonomies of the fundamental characteristics of information bearers (documents and systems) and information behaviors (both individual and collaborative). These mark a contemporary effort to enumerate and classify the elements that LIS researchers should be examining and with which they should be building systems and generating theory. Nicholas Belkin and Colleen Cool reported on field research with which they are constructing a taxonomy of interactions in information seeking and communication behavior, to be used to inform information system building. Rong Tang presented her taxonomic study of Web searching query patterns and argued for the need to link these to user cognitive operations and search tasks. Linda Cooper explored school children's categorizations and knowledge of information organization in libraries by having them arrange books and topics visually and spatially on "virtual" bookshelves. Kartriina Byström and Preben Hansen proposed a nested typology of the concepts of work tasks, information seeking tasks, and information retrieval tasks as units of analysis for LIS research. Work task and domain analysis figured importantly in several papers, reflecting a increasing application of information context research approaches. In addition to Byström and Hansen's theoretical study of the concepts of tasks in general, the work reported by researchers at Risø National Laboratory, Denmark (Annelise Mark Pejtersen, Bryan Cleal, Morten Hertzum, Hanne Albrechtsen) demonstrated the application of the Cognitive Work Analysis (CWA) framework used to inform the design of a virtual "collaboratory" used by three European film archives. Birger Hjørland asserted that domain analysis, including the study of the interests, goals, values, and consequences of information use and users in specific subject and work domains, is central to the practice of LIS.
LIS research and evaluation methodologies fell under the same scrutiny and systematization, particularly in the presentations employing multiple and mixed methodologies. Jaana Kekäläinen's and Kalervo Järvelin's proposal for a framework of laboratory information retrieval evaluation measures, applied along with analyses of information seeking and work task contexts, employed just such a mix. Marcia Bates pulled together Bradford's Law of Scattering of decreasingly relevant information sources and three information searching techniques (browsing, directed searching, and following links) to pose the question: what are the optimum searching techniques for the different regions of information concentrations? Jesper Schneider and Pia Borlund applied bibliometric methods (document co-citation, bibliographic coupling, and co-word analysis) to augment manual thesaurus construction and maintenance. Fredrik Åström examined document keyword co-occurrence measurement compared to and then combined with bibliometric co-citation analysis to map LIS concept spaces. Ian Ruthven, Mounia Lalmas, and Keith van Rijsbergen compared system-supplied query expansion terms with interactive user query expansion, incorporating both partial relevance assessment feedback (how relevant is a document) and ostensive relevance feedback (measuring when a document is assessed as relevant over time). Scheduled in the midst of the presentations were two stimulating panel and audience discussions. The first panel, chaired by Glynn Harmon, explored the current re-positioning of many library and information science schools by renaming themselves to eliminate the "library" word and emphasize the "information" word (as in "School of Information," "Information School," and schools of "Information Studies"). Panelists Marcia Bates, Harry Bruce, Toni Carbo, Keith Belton, and Andrew Dillon presented the reasons for name changes in their own information programs, which include curricular change and expansion beyond a "stereotypical" library focus, broader contemporary theoretical approaches to information, new clientele and markets for information services and professionals, new media formats and delivery models, and new interdisciplinary student and faculty recruitment from crossover fields. Sometimes criticized for over-broadness and ambiguity-and feared by library practitioners who were trained in more traditional library schools-renaming schools both results from and occasions a renewed examination of the definitions and boundaries of the field as a whole and the educational and research missions of individual schools.

Date

22. 2.2007 18:56:23
22. 2.2007 19:12:10

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Content

Enthält die Beiträge: ABAWAJY, J.H. u. M.A. SHEPHERD: Supporting a multi-hierarchical classification in the object-oriented paradigm; BOWKER; L.: Multidimensional classification of concepts for terminological purposes; COCHRANE, P.: Warrant for concepts in classification schemes; EUZENAT, J.: Brief overview of T-TREE: The TROPES Taxonomy Building Tool; HEMMASI, H. F. ROWLEY u. J.D. ANDERSON: Isolating and reorganizing core vocabulary from Library of Congress He... Music Thesaurus; JACOB, E.K.: Communication and category structure: the communicative process as a constant semantic representation of information; KIM, N-H., J.C. FRENCH u. D.E. BROWN: Boolean query reformulation with the Query Tree Classifier; KLEINBERG, I.: Programming knowledge: on indexing software for reuse and not indexing do...; LIN; X., MARCHIONINI, G. u. D. SOERGEL: Category-based and association-based map displays by human subjects; MINEAU, G.W.: The classification of structured knowledge objects; ZENG, L., D.K. GAPEN u. S. SCHMITT: Developing intellectual access and control mechanisms for discipline-based vi... future media integration

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Abstract

A retrieval experiment was conducted to compare on-line searching using terms opposed to citations. This is the first study in which a single data base was used to retrieve two equivalent sets for each query, one using terms found in the bibliographic record to achieve higher recall, and the other using documents. Reports on the use of a second citation searching strategy. Overall, by using both types of search keys, the total recall is increased.

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Footnote

Rez. in: Machine translation review: 1999, no.10, S.26-27 (D. Lewis): "Cross Language Information Retrieval (CLIR) addresses the growing need to access large volumes of data across language boundaries. The typical requirement is for the user to input a free form query, usually a brief description of a topic, into a search or retrieval engine which returns a list, in ranked order, of documents or web pages that are relevant to the topic. The search engine matches the terms in the query to indexed terms, usually keywords previously derived from the target documents. Unlike monolingual information retrieval, CLIR requires query terms in one language to be matched to indexed terms in another. Matching can be done by bilingual dictionary lookup, full machine translation, or by applying statistical methods. A query's success is measured in terms of recall (how many potentially relevant target documents are found) and precision (what proportion of documents found are relevant). Issues in CLIR are how to translate query terms into index terms, how to eliminate alternative translations (e.g. to decide that French 'traitement' in a query means 'treatment' and not 'salary'), and how to rank or weight translation alternatives that are retained (e.g. how to order the French terms 'aventure', 'business', 'affaire', and 'liaison' as relevant translations of English 'affair'). Grefenstette provides a lucid and useful overview of the field and the problems. The volume brings together a number of experiments and projects in CLIR. Mark Davies (New Mexico State University) describes Recuerdo, a Spanish retrieval engine which reduces translation ambiguities by scanning indexes for parallel texts; it also uses either a bilingual dictionary or direct equivalents from a parallel corpus in order to compare results for queries on parallel texts. Lisa Ballesteros and Bruce Croft (University of Massachusetts) use a 'local feedback' technique which automatically enhances a query by adding extra terms to it both before and after translation; such terms can be derived from documents known to be relevant to the query.
Christian Fluhr at al (DIST/SMTI, France) outline the EMIR (European Multilingual Information Retrieval) and ESPRIT projects. They found that using SYSTRAN to machine translate queries and to access material from various multilingual databases produced less relevant results than a method referred to as 'multilingual reformulation' (the mechanics of which are only hinted at). An interesting technique is Latent Semantic Indexing (LSI), described by Michael Littman et al (Brown University) and, most clearly, by David Evans et al (Carnegie Mellon University). LSI involves creating matrices of documents and the terms they contain and 'fitting' related documents into a reduced matrix space. This effectively allows queries to be mapped onto a common semantic representation of the documents. Eugenio Picchi and Carol Peters (Pisa) report on a procedure to create links between translation equivalents in an Italian-English parallel corpus. The links are used to construct parallel linguistic contexts in real-time for any term or combination of terms that is being searched for in either language. Their interest is primarily lexicographic but they plan to apply the same procedure to comparable corpora, i.e. to texts which are not translations of each other but which share the same domain. Kiyoshi Yamabana et al (NEC, Japan) address the issue of how to disambiguate between alternative translations of query terms. Their DMAX (double maximise) method looks at co-occurrence frequencies between both source language words and target language words in order to arrive at the most probable translation. The statistical data for the decision are derived, not from the translation texts but independently from monolingual corpora in each language. An interactive user interface allows the user to influence the selection of terms during the matching process. Denis Gachot et al (SYSTRAN) describe the SYSTRAN NLP browser, a prototype tool which collects parsing information derived from a text or corpus previously translated with SYSTRAN. The user enters queries into the browser in either a structured or free form and receives grammatical and lexical information about the source text and/or its translation.
The retrieved output from a query including the phrase 'big rockets' may be, for instance, a sentence containing 'giant rocket' which is semantically ranked above 'military ocket'. David Hull (Xerox Research Centre, Grenoble) describes an implementation of a weighted Boolean model for Spanish-English CLIR. Users construct Boolean-type queries, weighting each term in the query, which is then translated by an on-line dictionary before being applied to the database. Comparisons with the performance of unweighted free-form queries ('vector space' models) proved encouraging. Two contributions consider the evaluation of CLIR systems. In order to by-pass the time-consuming and expensive process of assembling a standard collection of documents and of user queries against which the performance of an CLIR system is manually assessed, Páriac Sheridan et al (ETH Zurich) propose a method based on retrieving 'seed documents'. This involves identifying a unique document in a database (the 'seed document') and, for a number of queries, measuring how fast it is retrieved. The authors have also assembled a large database of multilingual news documents for testing purposes. By storing the (fairly short) documents in a structured form tagged with descriptor codes (e.g. for topic, country and area), the test suite is easily expanded while remaining consistent for the purposes of testing. Douglas Ouard and Bonne Dorr (University of Maryland) describe an evaluation methodology which appears to apply LSI techniques in order to filter and rank incoming documents designed for testing CLIR systems. The volume provides the reader an excellent overview of several projects in CLIR. It is well supported with references and is intended as a secondary text for researchers and practitioners. It highlights the need for a good, general tutorial introduction to the field."

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Content

Enthält die folgenden Beiträge: ABAWAJY, J.H. u. M. Shepherd: Supporting a multi-hierarchical classification in the object-oriented paradigm; AIMEUR, E. u. G. GANASCIA: Reasoning with classification in interactive knowledge elicitation; BOWKER, L.: Multidimensional classification of concepts for terminological purposes; COCHRANE, P.: Warrant for concepts in classification schemes; EUZENAT, J.: Brief overview of T-TREE: the TROPES Taxonomy building tool; HEMMASI, H., F. ROWLEY u. J.D. ANDERSON: Isolating and reorganizing core vocabulary from Library of Congress Music Headings for use in the Music Thesaurus; JACOB, E.: Comuunication and category structure: the communicative process as a constraint on the semantic representation of information; KIM, N.-H., J.C. FRENCH u. D.E. BROWN: Boolean query formulation with the query tree classifier; KLEIBERG, I.: Programming knowledge: on indexing software for reuse and not indexing documentation at all; LIN, X., G. MARCHIONINI u. D. SOERGEL: Category-based and association-based map displays by human subjects; MINEAU, G.W.: The classification of structured knowldge objects; ZENG, L., D.K. GAPEN u. S. SCHMITT: Developing intellectual access and control mechanisms for discipline-based virtual libraries that feature media integration

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Abstract

The book consists of separate chapters by some 20 different authors. It covers many of the information retrieval algorithms, including methods of file organization, file search and access, and query processing

Content

An edited volume containing data structures and algorithms for information retrieval including a disk with examples written in C. for prgrammers and students interested in parsing text, automated indexing, its the first collection in book form of the basic data structures and algorithms that are critical to the storage and retrieval of documents. ------------------Enthält die Kapitel: FRAKES, W.B.: Introduction to information storage and retrieval systems; BAEZA-YATES, R.S.: Introduction to data structures and algorithms related to information retrieval; HARMAN, D. u.a.: Inverted files; FALOUTSOS, C.: Signature files; GONNET, G.H. u.a.: New indices for text: PAT trees and PAT arrays; FORD, D.A. u. S. CHRISTODOULAKIS: File organizations for optical disks; FOX, C.: Lexical analysis and stoplists; FRAKES, W.B.: Stemming algorithms; SRINIVASAN, P.: Thesaurus construction; BAEZA-YATES, R.A.: String searching algorithms; HARMAN, D.: Relevance feedback and other query modification techniques; WARTIK, S.: Boolean operators; WARTIK, S. u.a.: Hashing algorithms; HARMAN, D.: Ranking algorithms; FOX, E.: u.a.: Extended Boolean models; RASMUSSEN, E.: Clustering algorithms; HOLLAAR, L.: Special-purpose hardware for information retrieval; STANFILL, C.: Parallel information retrieval algorithms

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Abstract

The Web has driven many developments related to information retrieval in the past 5 years. One of the recent waves is due to XML (eXtensible Markup Language), a meta-language derived from SGML and designed for data representation and exchange on the Internet. XML provides support for marking (tagging) text for many purposes such as structure, semantics, layout, etc. It is believed that it will become a universal format not only for business-to-business applications but also for knowledge and information management. As a result, it has become crucial to address the question of how large collections of XML documents can be sorted and retrieved efficiently and effectively. Furthermore, it is necessary to develop a suitable query language for XML documents. Last year the World Wide Web Consortium released a query language proposal for XML data known as XQuery. XQuery is the combination of many proposals and previous languages, some of which are covered in this issue. XQuery is the natural meeting point of the database and information retrieval communities, because it requires that SQL-like queries as well as text retrieval queries must be answered correctly and efficiently. Hence, having a special issue on XML and information retrieval is timely and almost compulsory.

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Abstract

This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017. In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies.

Content

Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining

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Abstract

The challenge of effectively bringing specific, relevant information from the global sea of data to our fingertips, has become an increasingly difficult one. Discusses how the online information industry, founded on Boolean search systems, may be evolving to take advantage of other methods, such as 'term weighting', 'relevance ranking' and 'query by example'

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Abstract

This paper describes the coming together of two independent programmes developing interfaces which improves access to databases. MenUSE - Menu-based User Search Engine - has been developed to search bibliographic databases whilst HIBROWSE - High Resolution Interface for Database Specific BROWsing and SEarching - is a front-end for searching information stored on structured relational database management systems. Combining the 2 approaches affords the user much greater access capabilities than is possible using traditional retrieval systems. The implications of this are explored in the context of EPOQUE (the European Parliament Online QUEry system) and INSPEC

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Date

23. 3.2008 19:10:22

Footnote

In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.

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Content

Integrated interfaces to publicly available databases; database query interface for medical information systems; an intergrated approach approach to task oriented database retrieval interfaces; GRADI: a graphical database interface for a multimedia DBMS; cognitive view mechanisms for multimedia information systems; a graphical schema representation for object oriented databases; a conceptual framework for error analysis in SQL interfaces; a browser for a version entity relationship database

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Content

Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images

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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

"Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers.