Results 1 - 10 of 36

Semi-Automatic Domain Ontology Creation from Text Resources

by Mithun Balakrishna, Dan Moldovan, Marta Tatu, Marian Olteanu
"... Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword-based search, faceted search, question-answering, etc. are some of the automated methodologies that have been used to he ..."
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to help analysts in their tasks. General-purpose and domain-specific ontologies have been proposed to help these automated methods in organizing data and providing access to useful information. However, problems in ontology creation and maintenance have resulted in expensive procedures for expanding

LexOnt: A Semi-Automatic Ontology Creation Tool for Programmable Web

by Knarig Arabshian, Peter Danielsen, Sadia Afroz - in 2012 AAAI Spring Symposium Series , 2012
"... We propose LexOnt, a semi-automatic ontology cre-ation tool for a high-level service classification ontol-ogy. LexOnt uses the Programmable Web directory as the corpus, although it can evolve to use other cor-pora as well. The main contribution of LexOnt is its novel algorithm which generates and ra ..."
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We propose LexOnt, a semi-automatic ontology cre-ation tool for a high-level service classification ontol-ogy. LexOnt uses the Programmable Web directory as the corpus, although it can evolve to use other cor-pora as well. The main contribution of LexOnt is its novel algorithm which generates

Semantic Processing of a Hungarian Ethnographic Corpus

by Miklós Szőts , Sándor Darányi , Zoltán Alexin , Veronika Vincze , Attila Almási
"... ABSTRACT In this poster, a Hungarian ethnographic database containing linguistic annotation is presented. The corpus contains texts from three domains, namely, folk beliefs, táltos texts and tales. All the possible morphosyntactic analyses assigned to each word and the appropriate one selected from ..."
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from them (based on contextual information) are also marked. Syntactic (dependency) annotation is added semi-automatically to the corpus texts at a second phase of the processing. With the help of these enriched linguistic attributes, the texts can be semantically analyzed and clustered. The research

Ontology-based semantic annotations for biochip domain

by Khaled Khelif, Rose Dieng-kuntz - In EKAW , 2004
"... Abstract: We propose a semi-automatic method using the information extraction (IE) techniques for facilitating the generation of ontology-based annotations for scientific articles. Furthermore, we evaluate and discuss our method by applying it to the annotation of textual corpus provided by biologis ..."
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Abstract: We propose a semi-automatic method using the information extraction (IE) techniques for facilitating the generation of ontology-based annotations for scientific articles. Furthermore, we evaluate and discuss our method by applying it to the annotation of textual corpus provided

Ontology-Based Semantic Annotations for Biochip Domain

by unknown authors
"... Abstract. We present the interest of the Semantic Web techniques, particularly semantic annotation, in the biochip domain. We propose a semi-automatic method using the information extraction (IE) techniques for facilitating the generation of ontology-based annotations for scientific articles. Furthe ..."
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Abstract. We present the interest of the Semantic Web techniques, particularly semantic annotation, in the biochip domain. We propose a semi-automatic method using the information extraction (IE) techniques for facilitating the generation of ontology-based annotations for scientific articles

Discovering Structure in a Corpus of Schemas

by Alon Y. Halevy, Jayant Madhavan, Philip A. Bernstein
"... This paper describes a research program that exploits a large corpus of database schemas, possibly with associated data and meta-data, to build tools that facilitate the creation, querying and sharing of structured data. The key insight is that given a large corpus, we can discover patterns concerni ..."
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concerning how designers create structures for representing domains. Given these patterns, we can more easily map between disparate structures or propose structures that are appropriate for a given domain. We describe the first application of our approach to the problem of semi-automatic schema matching.

SEMIAUTOMATIC ACQUISITION OF TRANSLATION TEMPLATES FROM MONOLINGUAL UNANNOTATED CORPORA

by Rile Hu, Chengqing Zong, Bo Xu , 2003
"... In this paper, we propose a new approach which can semi-automatically acquire translation templates from the unannotated Chinese spoken language corpora in the domain of travel information accessing. In the approach, we introduce two elements into the unsupervised agglomerative clustering method, wh ..."
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In this paper, we propose a new approach which can semi-automatically acquire translation templates from the unannotated Chinese spoken language corpora in the domain of travel information accessing. In the approach, we introduce two elements into the unsupervised agglomerative clustering method

SEMANTIC VIDEO SUMMARIZATION IN COMPRESSED DOMAIN MPEG VIDEO

by Jek Charlson, So Yu, Mohan S. Kankanhalli
"... In this paper, we present a semantic summarization algorithm that interfaces with the metadata and that works in compressed domain, in particular MPEG-1 and MPEG-2 videos. In enabling a summarization algorithm through high-level semantic content, we try to address two major problems: First, we prese ..."
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In this paper, we present a semantic summarization algorithm that interfaces with the metadata and that works in compressed domain, in particular MPEG-1 and MPEG-2 videos. In enabling a summarization algorithm through high-level semantic content, we try to address two major problems: First, we

Semi-automatic Lexicalized Tree Adjoining Grammar Extraction towards Natural Language Generation

by Wei Qiu, Tianfang Yao
"... Abstract. Deep grammar Formalism such as Tree Adjoining Grammar(TAG) is widely used in Natural Language Generation(NLG). However, crafting the grammar not only requires expert knowledge of both the grammar formalism and the target application domain of NLG, but also needs a lot of human labor. In th ..."
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. In this paper, we propose a semi-automatic approach to extract well-formed Lexicalized Tree Adjoining Grammar(LTAG) anchored with proper semantics from a parallel corpus. The parallel cor- pus consists of sentences and the correspondent semantics. This approach requires much less human effort. The result shows

Unsupervised combination of metrics for semantic class induction

by Elias Iosif, Athanasios Tegos, Apostolos Pangos, Eric Fosler-lussier, Ros Potamianos - In Proceedings of the IEEE Spoken Language Technology Workshop , 2006
"... In this paper, unsupervised algorithms for combining semantic similarity metrics are proposed for the problem of automatic class induction. The automatic class induction algorithm is based on the work of Pargellis et al [1]. The semantic similarity metrics that are evaluated and combined are based o ..."
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proportional to the inter-class similarity of the classes induced by that metric and for the current iteration of the algorithm. The proposed algorithms are evaluated on two corpora: a semantically heterogeneous news domain (HR-Net) and an application-specific travel reservation corpus (ATIS). It is shown
Results 1 - 10 of 36