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Integrating instance-level and attribute-level knowledge into document clustering

Jinlong Wang, Shunyao Wu, Gang Li, Zhe Wei
2011 Computer Science and Information Systems  
In this paper, we present a document clustering framework incorporating instance-level knowledge in the form of pairwise constraints and attribute-level knowledge in the form of keyphrases.  ...  finally evaluate and select clustering result based on the degree of users' satisfaction.  ...  In this paper, we aim to integrate both the instance-level knowledge in the form of pairwise constraints and the attribute-level knowledge in the form of keyphrases to assist document clustering.  ... 
doi:10.2298/csis100906003w fatcat:cdknvwmarbbvpl5fch2yrj6y6q

Learning of Ontologies from the Web: the Analysis of Existent Approaches

Borys Omelayenko
2001 International Conference on Database Theory  
The next generation of the Web, called Semantic Web, has to improve the Web with semantic (ontological) page annotations to enable knowledge-level querying and searches.  ...  We consider three components of the query processing system: natural language ontologies, domain ontologies and ontology instances.  ...  Acknowledgements The author would like to thank Dieter Fensel for helpful discussions and comments, and Heiner Stuckenschmidt and four anonymous reviewers for their comments.  ... 
dblp:conf/icdt/Omelayenko01 fatcat:cbudjrngpffcfhtl43okvjg5fm

Combining schema and instance information for integrating heterogeneous data sources

Huimin Zhao, Sudha Ram
2007 Data & Knowledge Engineering  
Cluster analysis techniques are used first to identify similar schema elements (i.e., relations and attributes).  ...  We propose an iterative procedure for detecting both schema-level and instance-level correspondences from heterogeneous data sources.  ...  Note that the above-mentioned steps for identifying schema-level and instance-level semantic correspondences can be streamlined with schema integration [36] and instance integration steps to build the  ... 
doi:10.1016/j.datak.2006.06.004 fatcat:l4yux53lfbh33nzomjosptjuya

An XML-Based Interorganizational Knowledge Mediation Scheme to Support B2B Solutions [chapter]

S. Castano, V. De Antonellis, S. De Capitani di Vimercati
2003 IFIP Advances in Information and Communication Technology  
The proposed IKMS is a set of mediated descriptions of exchange information at the global level, defined as global X-classes, and relies on a set of techniques for building such global X-classes.  ...  We propose an Interorganizational Knowledge Mediation Scheme (IKMS) acting as an information infrastructure for B2B solutions for aggregating exchange information supplied by the companies participating  ...  properties and attributes (cluster reconciliation step).  ... 
doi:10.1007/978-0-387-35658-7_8 fatcat:74l5gl2ijrdqhjezy4imkpbtou

An Information Retrieval System with Cooperative Behaviour

Paulo Quaresma, Irene Pimenta Rodrigues
1999 Nordic Conference of Computational Linguistics  
Cooperation is achieved through two main strategies: 1) clustering the answer sets of documents accordingly with the domain and IR-level knowledge; 2) keeping the context of the interaction and inferring  ...  The information retrieval level includes knowledge about IR actions over sets of documents. The text level has knowledge about the words in each text.  ...  Our clustering method is based on the Scatter/Gather browsing paradigm that clusters documents into topically-coherent groups.  ... 
dblp:conf/nodalida/QuaresmaR99 fatcat:ybmvkas4zjhb7awiaryzdjv7we

A Semantic Approach to XML-based Data Integration [chapter]

Patricia RodrÌguez-Gianolli, John Mylopoulos
2001 Lecture Notes in Computer Science  
The paper describes a prototype tool, named DIXSE, which supports the integration of XML Document Type Definitions (DTDs) into a common conceptual schema.  ...  These wrappers are used to populate the common conceptual schema thereby achieving data integration for XML documents.  ...  Acknowledgements This research was partly funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
doi:10.1007/3-540-45581-7_11 fatcat:4xqokiiamvgo7mqpx4qhyduqia

Ontology-based integration for Sharing Knowledge over the Web

Devis Bianchini, Valeria De Antonellis
2004 International Workshop on Data Integration over the Web  
Our methodology generates an ontology organized into concepts and concept relationships at different levels of detail, to provide multiple, unified views of the datasources containing heterogeneous information  ...  In this paper, we propose a methodology developed in the framework of the VISPO project for engineering a three-layer ontology, based on the conceptualization, integration, synthesis and categorization  ...  Two concepts α and β are disjoint if the sets of their instances are disjoint, i.e., there exist an attribute x of α and an attribute y of β such that names of x and y are equal or synonyms and the types  ... 
dblp:conf/diweb/BianchiniA04 fatcat:mxlbca7pjbb6jdxtmhm653xmbe

Disaster SitRep - A vertical search engine and information analysis tool in disaster management domain

Li Zheng, Chao Shen, Liang Tang, Chunqiu Zeng, Tao Li, Steve Luis, Shu-Ching Chen, Jainendra K. Navlakha
2012 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)  
, parse and filter those relevant web resources; a domainoriented skeleton for each type of disasters is used to extract disaster events from disaster documents by defining the set of structural attributes  ...  critical tasks that can facilitate information acquisition, integration and presentation by utilizing domain knowledge as well as public and private web resources for major disaster recovery planning  ...  Constraints defined in hierarchical clustering are different from constraints, such as instance-level constraints [10] and prior knowledge [21] in partitional clustering.  ... 
doi:10.1109/iri.2012.6303044 dblp:conf/iri/ZhengSTZLLCN12 fatcat:hfdxkzexp5bpzh33sj3zdijzii

Simulation of Road Traffic Applying Model-Driven Engineering

2015 Advances in Distributed Computing and Artificial Intelligence Journal  
The main ones come from the need to integrate the way of working of researchers and developers from multiple fields.  ...  A case study shows the process to model a traffic theory with the ML, and how to specialise that specification in an existing target platform and its simulations.  ...  , and the research programme MOSI-AGIL-CM (grant S2013/ICE-3019) supported by the Autonomous Region of Madrid and co-funded by EU Structural Funds FSE and FEDER.  ... 
doi:10.14201/adcaij2015420124 fatcat:a5gwm76aobhfrexfvesznq5jum

A Survey of Ontology Learning Approaches

Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea
2011 International Journal of Computer Applications  
Ontologies are the vehicle by which we can model and share the knowledge among various applications in a specific domain. So many research developed several ontology learning approaches and systems.  ...  The problem that ontology learning deals with is the knowledge acquisition bottleneck, that is to say the difficulty to actually model the knowledge relevant to the domain of interest.  ...  Finally, they mine the concept instances (members of concepts) and the values of the instance attributes in the same way as the sub taxonomy mining. Hazman  ... 
doi:10.5120/2610-3642 fatcat:fhtn24qoq5ewhiu6a5w5hyysee

Innovative Approaches for efficiently Warehousing Complex Data from the Web [article]

Fadila Bentayeb, Hadj Mahboubi, Cécile Favre, Omar Boussaïd
2017 arXiv   pre-print
Our contributions cover the main phases of the data warehouse design process: data integration and modeling and user driven-OLAP analysis.  ...  Thus, users require applications to help them obtaining knowledge from the Web.  ...  Each defines a hierarchy level composed of instance nodes that in turn define the level"s member attribute values.  ... 
arXiv:1701.08643v1 fatcat:2u67xdmvsnfizieie2qtajfmze

Bridging abstraction layers in process mining

Thomas Baier, Jan Mendling, Mathias Weske
2014 Information Systems  
We use domain knowledge extracted from existing process documentation to semi-automatically match events and activities.  ...  While the maturity of process mining algorithms increases and more process mining tools enter the market, process mining projects still face the problem of different levels of abstraction when comparing  ...  Thus, in most cases we face a 1:n mapping on instance level and event instances will be clustered to activity instances.  ... 
doi:10.1016/ fatcat:qxuyu4euavhwvlwdcoydvqb73i

Learn sesame a learning agent engine

Alper Caglayan, Magnus Snorrason, Jennifer Jacoby, James Mazzu, Robin Jones, Krishna Kumar
1997 Applied Artificial Intelligence  
The development of this agent involved a number of decisions about basic design issues that had not been previously addressed, including the expected types of agent and the preferred form and frequency  ...  2.0, and develop a cross-platform learning engine -Learn Sesame-that can be used to add learning agent functionality to any third party application.  ...  To integrate Learn Sesame into an application, the domain is first modeled as a collection of 20 objects, attributes and events.  ... 
doi:10.1080/088395197118109 fatcat:2msmoa22xbhmjmr4w4pambtjoa

Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata

Paolo Ceravolo, Ernesto Damiani, Marco Viviani
2007 IEEE Transactions on Knowledge and Data Engineering  
We present a way of building ontologies that proceeds in a bottom-up fashion, defining concepts as clusters of concrete XML objects.  ...  Our rough bottom-up ontologies are based on simple relations like association and inheritance, as well as on value restrictions, and can be used to enrich and update existing upper ontologies.  ...  A concept lattice can be obtained evaluating two functions: f and g. Function f maps a set of documents into the set of common attributes, whereas g does the same for attribute sets.  ... 
doi:10.1109/tkde.2007.23 fatcat:vhzuwgttyvgmvaionung5vht2i

XML-based specification for Web services document security

R. Bhatti, E. Bertino, A. Ghafoor, J.B.D. Joshi
2004 Computer  
Acknowledgments Portions of this work have been supported by the sponsors of the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University and the National Science  ...  , then groups related XML schemas and their instances into a cluster.  ...  As Figure 1 shows, a cluster can contain an arbi-trary number of XML schemas, XML instances, or their elements and attributes.  ... 
doi:10.1109/mc.2004.1297300 fatcat:evbqnayd55ddrd3b44ul5qvdfy
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