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Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services [chapter]

Larry Kerschberg, Hanjo Jeong, Wooju Kim
2006 Lecture Notes in Computer Science  
Emergent semantics in the context of Knowledge Sifter allow for evolutionary adaptive behavior.  ...  search for knowledge in heterogeneous sources, including the Web, semi-structured data, relational data and the Semantic Web.  ...  This work was sponsored by a NURI from the National Geospatial-Intelligence Agency (NGA). The authors with to acknowledge the work on the Knowledge Sifter prototype by M. Chowdhury, A. Damiano, S.  ... 
doi:10.1007/11803034_9 fatcat:ihjzskzvo5fwvfbov4rm325urq

Social Sifter: An Agent-Based Recommender System to Mine the Social Web

M. Omar Nachawati, Rasheed Rabbi, Genong (Eugene) Yu, Larry Kerschberg, Alexander Brodsky
2012 Semantic Technologies for Intelligence, Defense, and Security  
This paper presents the architecture for Social Sifter, an agent-based, collective intelligence system for assimilating information and knowledge across the Social Web.  ...  A health recommender system prototype was developed using the Social Sifter architecture, which recommends treatments, prevention advice, therapies for ailments, and doctors and hospitals based on shared  ...  Knowledge Sifter is a scalable agent-based web services framework that is aimed to support i) ontology guided semantic searches, ii) refine searches based on relevant feedback, and iii) accessing heterogeneous  ... 
dblp:conf/stids/NachawatiRYKB12 fatcat:uilqdxh7izhrpkd6vl5gs264ny

Just-in-Time Knowledge Management [chapter]

Larry Kerschberg, Hanjo Jeong
2005 Lecture Notes in Computer Science  
The search process is described using concepts from Knowledge Sifter, an agent-based system that accesses heterogeneous sources using Semantic Web Services.  ...  This paper presents the requirements for just in time knowledge management (JIT-KM).  ...  This work was sponsored by a NURI from the National Geospatial-Intelligence Agency (NGA). The authors with to acknowledge the work on the Knowledge Sifter prototype by M. Chowdhury, A. Damiano, S.  ... 
doi:10.1007/11590019_1 fatcat:bckgyi5q4rg67m7347vsbwctl4

Evaluating the Performance of Semantic Service Search Engine based-on SVM

V. P.HaraGopal, K. F. Bharati
2013 International Journal of Computer Applications  
So, semantic service search engine is a conceptual framework of service-ontology-based system which delivers semantic search support to DE.  ...  Semantic service search engine is designed for DE, to provide semantic search support.  ...  The Knowledge Sifter architecture is extended to include a case-based cliché for collaborative semantic search, including case creation, indexing and retrieval services.  ... 
doi:10.5120/13872-1737 fatcat:4y75y3iw4zbxbpkwcxkih2cl4y

A FRAMEWORK FOR DYNAMIC SEMANTIC WEB SERVICES MANAGEMENT

RANDY HOWARD, LARRY KERSCHBERG
2004 International Journal of Cooperative Information Systems  
This paper introduces a framework, the Knowledge-based Dynamic Semantic Web Services (KDSWS) Framework that addresses in an integrated end-to-end manner, the life-cycle of activities involved in preparing  ...  The goal is to add semantics to Web services to endow them with capabilities needed for their successful deployment in future systems.  ...  Acknowledgements This work was sponsored by a NURI from the National Geospatial-Intelligence Agency (NGA).  ... 
doi:10.1142/s0218843004001024 fatcat:mnvageg67ngq3pofin6smqpq6m

Information Integration in Searchy: An Ontology and Web Services Based Approach

David F. Barrero, María Dolores Rodríguez-Moreno
2010 International Journal of Computer Science and Applications  
Searchy is a agent-based platform which, through the utilization of heterogeneous semantic wrappers, integrates information from arbitrary sources and translates them into semantic terms.  ...  Its distributed nature and non intrusive operation enables it to operate in a B2B environments where several entities share their information systems.  ...  Acknowledgments This work has been partially founded by the UAH proyect PI2005/084, in collaboration with the PTYOC program of RedIRIS.  ... 
dblp:journals/ijcsa/BarreroR10 fatcat:sbscam2ykrgstntqusm7pkm56m

A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Senthil Kumar Narayanasamy, Kathiravan Srinivasan, Yuh-Chung Hu, Satish Kumar Masilamani, Kuo-Yi Huang
2022 Electronics  
In this review paper, we have highlighted all the necessary information for a good understanding of the semantic web and its ontological frameworks.  ...  The fundamental building blocks for the overwhelming utilization of semantic web technologies are ontologies, and it allows sharing as well as reusing the concepts in a standardized way so that the data  ...  One more methodology dependent on this ontology framework is the knowledge sifter [44] .  ... 
doi:10.3390/electronics11030453 fatcat:rslqynwogrdtfnd52ydwwpckxe

Automatic classification using supervised learning in a medical document filtering application

J. Mostafa, W. Lam
2000 Information Processing & Management  
In the ®rst phase, a multilayer feedforward neural network was trained to classify medical documents in the area of cell biology.  ...  The eectiveness of a classi®er that uses supervised learning was analyzed in terms of its accuracy and ultimately its in¯uence on ®ltering. The analysis was conducted in two phases.  ...  We extend our thanks to the CUHK for its support of this collaborative project.  ... 
doi:10.1016/s0306-4573(99)00033-3 fatcat:x42v5fuyijhnrplfqrvbngpkw4

Semantic search using modular ontology learning and case-based reasoning

Nesrine Ben Mustapha, Hajer Baazaoui Zghal, Marie-Aude Aufaure, Henda ben Ghezala
2010 Proceedings of the 1st International Workshop on Data Semantics - DataSem '10  
In this paper, we present a semantic search approach based on Case-based reasoning and modular Ontology learning. A case is defined by a set of similar queries associated with its relevant results.  ...  The case base is used for ontology learning and for contextualizing the search process. Modular ontologies are designed to be used for case representation and indexing.  ...  In the same context, the Knowledge Sifter (KS) framework of a collaborative semantic search [41] creates a repository of user queries and artifacts which are produced during the retrieval process.  ... 
doi:10.1145/1754239.1754243 dblp:conf/edbtw/MustaphaZAG10 fatcat:s3wiwvp6qjeclnhwufmeadxoo4

Filtering medical documents using automated and human classification methods

J. Mostafa, L. M. Quiroga, M. Palakal
1998 Journal of the American Society for Information Science  
A parameter called classification homogeneity is presented for analyzing unsupervised automated classification by employing human classification as a control.  ...  Based on the classification performance, different types of interest profiles were created. Subsequently, these profiles were used to perform filtering sessions.  ...  Our thanks go to the other members of the SIFTER research team, specifically Snehasis Mukhopadhyay and Wai Lam, for vigorous discussions and for aiding in the software development.  ... 
doi:10.1002/(sici)1097-4571(1998)49:14<1304::aid-asi8>3.3.co;2-5 fatcat:oryuvtnwebhd5luncuxqdnkb6m

Filtering medical documents using automated and human classification methods

J. Mostafa, L. M. Quiroga, M. Palakal
1998 Journal of the American Society for Information Science  
A parameter called classification homogeneity is presented for analyzing unsupervised automated classification by employing human classification as a control.  ...  Based on the classification performance, different types of interest profiles were created. Subsequently, these profiles were used to perform filtering sessions.  ...  Our thanks go to the other members of the SIFTER research team, specifically Snehasis Mukhopadhyay and Wai Lam, for vigorous discussions and for aiding in the software development.  ... 
doi:10.1002/(sici)1097-4571(1998)49:14<1304::aid-asi8>3.0.co;2-e fatcat:vjahzfq7ljhp5cqjhb4wxu53mu

Collaborative filtering and inference rules for context‐aware learning object recommendation

Daniel Lemire, Harold Boley, Sean McGrath, Marcel Ball
2005 Interactive Technology and Smart Education  
In the spirit of the Semantic Web, we discuss the semantic description, discovery, and composition of learning objects using Web-based MP3 objects as examples.  ...  We study the application of collaborative filtering as prototyped in the RACOFI (Rule-Applying Collaborative Filtering) Composer system, which consists of two libraries and their associated engines: a  ...  Acknowledgments We would like to thank Anna Maclachlan for her advice and contribution to the design of the SLOPE ONE collaborative filtering algorithms.  ... 
doi:10.1108/17415650580000043 fatcat:ntdkzbgcwfhnvcjh7lnfzyh3i4

Automatic Annotation of Sensor Data Streams using Abductive Reasoning
english

Marjan Alirezaie, Amy Loutfi
2013 Proceedings of the International Conference on Knowledge Engineering and Ontology Development  
In this work, we propose a system architecture to model the process of stream data annotation in an automatized fashion using public repositories of knowledge.  ...  In order to evaluate the effectiveness of the framework, we use multivariate data coming from medical sensors observing a patient in ICU (Intensive Care Unit) suffering from several diseases as the ground  ...  For example, since the internal processes of the framework are basically based on synonyms of terms, for two different configurations shown in Fig. 2 , the reasoner results in the same final explanations  ... 
doi:10.5220/0004623403450354 dblp:conf/ic3k/AlirezaieL13 fatcat:svufp2nzdzgwjia7lx6ol4i5ji

An experiment in building profiles in information filtering: the role of context of user relevance feedback

Luz M Quiroga, Javed Mostafa
2002 Information Processing & Management  
Data was collected during the system interaction of 18 graduate students with SIFTER (Smart Information Filtering Technology for Electronic Resources), a filtering system that ranks incoming information  ...  based on users' profiles.  ...  'taken for granted'' (TFG) knowledge.  ... 
doi:10.1016/s0306-4573(01)00058-9 fatcat:ohh7fifxfbasrpy4y352cuo43i

Application Domain and Functional Classification of Recommender Systems—A Survey
ENGLISH

K. Nageswara Rao
2008 DESIDOC Journal of Library & Information Technology  
As a result, the scientific community has been overwhelmed by the information published in number of new books, journal articles, and conference proceedings.  ...  anywhere in the world.  ...  Case-based session modeling and personalization in a travel advisory system, edited by F. Ricci & B. Smyth.  ... 
doi:10.14429/djlit.28.3.174 fatcat:yw6e6dms7jcdrl5i6kskma3amy
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