1,721,018 research outputs found
Adaptability of Linguistic Resources to New Domains: an Experiment with Proper Noun Dictionaries
No full textAutomatic Selection of Class Labels from a Thesaurus for an Effective Semantic Tagging of Corpora
No full textRecovery blocks for communicating systems
Full text linkIn many practical applications of real-time computing (avionics, switching systems) a message-passing inter-processes communication approach is adopted for both modularity and reliability aims.
In the present paper, the problem of adding fault-tolerance in a message passing multiprocesses environment is examined. Recovery blocks implementation schemes for both asynchronous and synchronous communications are proposed, with the aim of avoiding domino-effects and exploiting the message oriented system structure.
When a sender process produces a message, an acceptance test is performed on the message by system procedures, which in sequence: i) transfer the message on the receiving process working memory, ii) save present process status, or in case of error, restore some previous process status, and iii) discard no longer needed status informations
Monitoring the Status of a Research Community through a Knowledge Map
Full text linkThe NoE (Network of Excellence) INTEROP is an instrument for strengthening the excellence of European research
in interoperability of enterprise applications, by bringing together the complementary competences required to develop interoperability
in a more global and innovative way. One of the main objectives of INTEROP was to build a so-called “Knowledge Map” (KMap) of partner competences, a competency management system used to perform a periodic diagnostic of the extent of the research collaboration and coordination among the NoE members. The aim was to monitor the status of research in the field of interoperability through a web-based platform that allows the user to retrieve information according to his/her actual need in a specific situation. In the KMap, the information is semantically indexed and retrieved through a domain ontology, which was semi-automatically created using a novel methodology, based on interleaved machine learning and collaborative validation phases. This paper describes the architecture of the KMap and provides a qualitative and quantitative evaluation of the advantages of a semantically indexed knowledge base as a means to improve information accessibility and network analysis
Ontology Learning and Its Application to Automated Terminology Translation
No full textOur OntoLearn system is an infrastructure for automated ontology learning from domain text. It is the only system, as far as we know, that uses natural language processing and machine learning techniques, and is part of a more general ontology engineering architecture. We describe the system and an experiment in which we used a machine-learned tourism ontology to automatically translate multiword terms from English to Italian. The method can apply to other domains without manual adaptation
Multiple Knowledge GraphDB (MKGDB)
No full textWe present MKGDB, a large-scale graph database created as a combination of multiple taxonomy backbones extracted from 5 existing knowledge graphs, namely: ConceptNet, DBpedia, WebIsAGraph, WordNet and the Wikipedia category hierarchy. MKGDB, thanks the versatility of the Neo4j graph database manager technology, is intended to favour and help the development of open-domain natural language processing applications relying on knowledge bases, such as information extraction, hypernymy discovery, topic clustering, and others. Our resource consists of a large hypernymy graph which counts more than 37 million nodes and more than 81 million hypernymy relations
Will Very Large Corpora Play For Semantic Disambiguation The Role That Massive Computing Power Is Playing For Other AI-Hard Problems?
No full textIn proceeddings of 2nd. Conf. on Language Resources and Evaluation (LREC2000) - Athens - Greec
Using Corpus Evidence for Automatic Gazetteer Extension
No full textIn proceedings of the first international conference on Language Resources and Evaluation (LREC'98
Special Issue on Social Network Analysis
No full textSocial network analysis (SNA) is a research area of computer science with the purpose to represent people and their social interactions as graphs, and then, analyze these graphs using network and graph theory [...
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