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ITHEA Classification Structure > H. Information Systems  > H.3 INFORMATION STORAGE AND RETRIEVAL  > H.3.4 Systems and Software 
ITHEA Classification Structure > H. Information Systems  > H.3 INFORMATION STORAGE AND RETRIEVAL  > H.3.5 Online Information Services 
SOCIAL CONTEXT AS MACHINE-PROCESSABLE KNOWLEDGE
By: Troussov et al. (4233 reads)
Rating: (1.00/10)

Abstract: In this paper, we show how to represent to our formal reasoning and to model social context as knowledge using network models to aggregate heterogeneous information. We show how social context can be efficiently used for well understood tasks in natural language processing (such as context-dependent automated, large scale semantic annotation, term disambiguation, search of similar documents), as well as for novel applications such as social recommender systems which aim to alleviate information overload for social media users by presenting the most attractive and relevant content. We present the algorithms and the architecture of a hybrid recommender system in the activity centric environment Nepomuk-Simple? (EU 6th Framework Project NEPOMUK): recommendations are computed on the fly by network flow methods performing in the unified multidimensional network of concepts from the personal information management ontology augmented with concepts extracted from the documents pertaining to the activity in question.

Keywords: multidimensional networks, graph-based methods, network flow methods, data mining, natural language processing, recommender systems.

ACM Classification Keywords: H.3.4 Information Storage and Retrieval: Systems and Software – information networks; H.3.5 Information Storage and Retrieval: Online Information Services – data sharing.

Link:

SOCIAL CONTEXT AS MACHINE-PROCESSABLE KNOWLEDGE

Alexander Troussov, John Judge, Mikhail Alexandrov, Eugene Levner

http://foibg.com/ibs_isc/ibs-23/ibs-23-p10.pdf

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H.3.4 Systems and Software
article: A METHOD FOR EVALUATION OF INFORMATIONAL SERVICES - STEP 2: COMPUTING ... · USER-CENTRIC AND CONTEXT-AWARE ABC&S · CONNECTIVITY CONTROL IN AD HOC SYSTEMS: A GRAPH GRAMMAR APPROACH · CROP STATE AND AREA ESTIMATION IN UKRAINE BASED ON REMOTE AND INSITU ... · APPLICATION OF SOCIAL ANALYTICS FOR BUSINESS INFORMATION SYSTEMS · SOCIAL CONTEXT AS MACHINE-PROCESSABLE KNOWLEDGE · APPLICATION OF GSM NETWORKS TO CONTROL THE HARDWARE OF SCIENTIFIC AND ... · AN INVESTIGATION OF PROBLEM OF ARTIFICIAL NEURON NETWORKS APPLICABILITY FOR ... · MODELING OF EFFECTIVE PROCESS OF NETWORK MAINTAINING ... · ALGORITHM OF DECISION SUPPORT IN EMERGENCY · EMERGENCY PREVENTION AND SITUATION MONITORING IN CARPATHIAN REGION · DATA PROTECTION AND PACKET MODE IN THE DISTRIBUTED INFORMATION MEASUREMENT ... · METHOD OF ELIMINATION DATA SOURCES CONFLICTS ... · APPLICATION OF GSM NETWORKS TO CONTROL THE HARDWARE ... · AN INVESTIGATION OF PROBLEM OF ARTIFICIAL NEURON NETWORKS ... · GRID INFRASTRUCTURE FOR SATELLITE DATA PROCESSING IN UKRAINE · INTELLIGENT CAR PARKING LOCATOR SERVICE · CONNECTION OF NETWORK SENSORS TO DISTRIBUTED INFORMATION ... · INFRAWEBS BPEL-BASED EDITOR FOR CREATING · SEMANTIC DESCRIPTION OF WEB SERVICES AND POSSIBILITIES OF BPEL4WS · A SURVEY ON THE INTEGRATION OF ENTERPRISE APPLICATIONS AS A SERVICE · INFRAWEBS SEMANTIC WEB SERVICE DEVELOPMENT ON THE BASE ... ·
H.3.5 Online Information Services
article: A METHOD FOR EVALUATION OF INFORMATIONAL SERVICES - STEP 2: COMPUTING ... · RESEARCH PORTAL “REGIONS’ INNOVATIVE DEVELOPMENT” · ENHANCED TECHNOLOGY OF EFFICIENT INTERNET RETRIEVAL FOR RELEVANT ... · APPLICATION OF SOCIAL ANALYTICS FOR BUSINESS INFORMATION SYSTEMS · SOCIAL CONTEXT AS MACHINE-PROCESSABLE KNOWLEDGE · ENVIRONMENTAL RISK ASSESSMENT USING GEOSPATIAL DATA AND INTELLIGENT METHODS · TOWARDS LINGUISTICS ANALYSIS OF THE BULGARIAN FOLKLORE DOMAIN · DIGITAL ARCHIVE AND MULTIMEDIA LIBRARY FOR BULGARIAN TRADITIONAL CULTURE ... · ИССЛЕДОВАТЕЛЬСКИЙ ПОРТАЛ «ИННОВАЦИОННОЕ Р� · LINGUISTICS RESEARCH AND ANALYSIS OF THE BULGARIAN FOLKLORE. EXPERIMENTAL ... · SEARCH AND ADMINISTRATIVE SERVICES IN ICONOGRAPHICAL DIGITAL LIBRARY · A USE CASE SCENARIO FOR TECHNOLOGY-ENHANCED LEARNING THROUGH SEMANTIC WEB ... · HI!MVC: HIERARCHICAL MVC FRAMEWORK FOR WEB APPLICATIONS ·
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