Matches in ScholarlyData for { ?s ?p ?o. }
- 262 type InProceedings.
- 262 label "Ontology Search with the OntoSelect Ontology Library".
- 262 sameAs 262.
- 262 abstract "OntoSelect is a dynamic web-based ontology library that harvests, analyzes and organizes ontologies published on the Semantic Web. OntoSelect allows searching as well as browsing of ontologies according to size (number of classes, properties), representation format (DAML, RDFS, OWL), connectedness (score over the number of included and referring ontologies) and human languages used for class- and object property-labels. Ontology search in OntoSelect is based on a combined measure of coverage, structure and connectedness. Further, and in contrast to other ontology search engines, OntoSelect provides ontology search based on a complete web document instead of one or more keywords only.".
- 262 hasAuthorList authorList.
- 262 hasTopic Linguistics.
- 262 isPartOf proceedings.
- 262 keyword "Ontologies".
- 262 keyword "Semantic Web".
- 262 keyword "Tools, systems, applications".
- 262 title "Ontology Search with the OntoSelect Ontology Library".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 type ListItem.
- item-1 hasContent paul-buitelaar.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent thomas-eigner.
- item-2 previous item-1.
- 264 creator gregory-grefenstette.
- 264 creator guillaume-pitel.
- 264 type InProceedings.
- 264 label "Semi-automatic Building Method for a Multidimensional Affect Dictionary for a New Language".
- 264 sameAs 264.
- 264 abstract "Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. While for the English language there exists a number of affect, emotive, opinion, or affect computer-usable lexicons for automatically processing text, other languages rarely possess these primary resources. Here we present a semi-automatic technique for quickly building a multidimensional affect lexicon for a new language. Most of the work consists of defining 44 paired affect directions (e.g. love-hate, courage-fear, etc.) and choosing a small number of seed words for each dimension. From this initial investment, we show how a first pass affect lexicon can be created for new language, using a SVM classifier trained on a feature space produced from Latent Semantic Analysis over a large corpus in the new language. We evaluate the accuracy of placing newly found emotive words in one or more of the defined semantic dimensions. We illustrate this technique by creating an affect lexicon for French, but the techniques can be applied to any language found on the Web and for which a large quantity of text exists.".
- 264 hasAuthorList authorList.
- 264 hasTopic Linguistics.
- 264 isPartOf proceedings.
- 264 keyword "Acquisition, Machine Learning".
- 264 keyword "Emotions".
- 264 keyword "Lexicon, lexical database".
- 264 title "Semi-automatic Building Method for a Multidimensional Affect Dictionary for a New Language".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 type ListItem.
- item-1 hasContent guillaume-pitel.
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- item-2 type ListItem.
- item-2 hasContent gregory-grefenstette.
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- 270 creator cassia-trojahn.
- 270 creator paulo-quaresma.
- 270 creator renata-vieira.
- 270 type InProceedings.
- 270 label "A Framework for Multilingual Ontology Mapping".
- 270 sameAs 270.
- 270 abstract "In the field of ontology mapping, multilingual ontology mapping is an issue that is not well explored. This paper proposes a framework for mapping of multilingual Description Logics (DL) ontologies. First, the DL source ontology is translated to the target ontology language, using a lexical database or a dictionary, generating a DL translated ontology. The target and the translated ontologies are then used as input for the mapping process. The mappings are computed by specialized agents using different mapping approaches. Next, these agents use argumentation to exchange their local results, in order to agree on the obtained mappings. Based on their preferences and confidence of the arguments, the agents compute their preferred mapping sets. The arguments in such preferred sets are viewed as the set of globally acceptable arguments. A DL mapping ontology is generated as result of the mapping process. In this paper we focus on the process of generating the DL translated ontology.".
- 270 hasAuthorList authorList.
- 270 hasTopic Linguistics.
- 270 isPartOf proceedings.
- 270 keyword "Ontologies".
- 270 keyword "Other".
- 270 keyword "Semantic Web".
- 270 title "A Framework for Multilingual Ontology Mapping".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent cassia-trojahn.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent paulo-quaresma.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent renata-vieira.
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- 272 creator heike-bieler.
- 272 creator stefanie-dipper.
- 272 type InProceedings.
- 272 label "Measures for Term and Sentence Relevances: an Evaluation for German".
- 272 sameAs 272.
- 272 abstract "Terms, term relevances, and sentence relevances are concepts that figure in many NLP applications, such as Text Summarization. These concepts are implemented in various ways, though. In this paper, we want to shed light on the impact that different implementations can have on the overall performance of the systems. In particular, we examine the interplay between term definitions and sentence-scoring functions. For this, we define a gold standard that ranks sentences according to their significance and evaluate a range of relevant parameters with respect to the gold standard.".
- 272 hasAuthorList authorList.
- 272 hasTopic Linguistics.
- 272 isPartOf proceedings.
- 272 keyword "Information Extraction, Information Retrieval".
- 272 keyword "Statistical methods".
- 272 keyword "Summarisation".
- 272 title "Measures for Term and Sentence Relevances: an Evaluation for German".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent heike-bieler.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent stefanie-dipper.
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