Content-based text querying with ontological descriptors

Andreasen, Troels; Jensen, Per Anker; Nilsson, Jørgen Fischer; Paggio, Patrizia; Pedersen, Bolette Sandford; Thomsen, Hanne Erdman

doi:10.1016/s0169-023x(03)00105-8

Cited by 61 publications

(13 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are approaches in which the conceptual content of noun phrases is also analyzed (see e.g. [1]). In general, concepts can be expressed as more complex phrases (e.g., verb phrases) and possibly as a free text.…”

Section: Fig 2 Semantic Continuummentioning

confidence: 99%

Concept Search

Giunchiglia

Kharkevich

Zaihrayeu

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

Section: Fig 2 Semantic Continuummentioning

confidence: 99%

Concept Search

Giunchiglia

Kharkevich

Zaihrayeu

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Inspired by the OntoQuery project (cf. Andreasen et al 2004), we have mainly focused on predicateargument relations such as AgentIs, HasAsGoal, and HasAsRole. By means of these, the term experts have the possibility to encode the relations between a specific kind of document representing a specific step in a patent case and the agent or the role of this document.…”

Section: Downloaded By [University Of Chicago Library] At 05:35 19 Nomentioning

confidence: 99%

Language technology in knowledge-organization systems

Navarretta

Pedersen

Hansen

2006

New Review of Hypermedia and Multimedia

Self Cite

View full text Add to dashboard Cite

This paper describes the language technology methods developed in the Danish research project VID to extract from Danish text material relevant information for the population of knowledge organization systems (KOS) within specific corporate domains. The results achieved by applying these methods to a prototype search engine tuned to the patent and trademark domain indicate that the use of human language technology can support the construction of a linguistically based KOS and that linguistic information in search improves recall substantially without harming precision (near 90%). Finally, we describe two research experiments where (1) linguistic analysis of Danish compounds is exploited to improve search strategies on these and (2) linguistic knowledge is used to model corporate knowledge into a language-based ontology.

show abstract

“…Paggio et al 2003). These experiments include the application of the Danish SIMPLE semantic lexicon for query expansion based on synonymy and hyponymy, as are also reported on in and Andreasen, Jensen, Nilsson, Paggio, Pedersen and Thomsen (2004).…”

Section: Introductionmentioning

confidence: 96%

Using shallow linguistic analysis to improve search on Danish compounds

Pedersen¹

2006

Nat. Lang. Eng.

View full text Add to dashboard Cite

In this paper we focus on a specific search-related query expansion topic, namely search on Danish compounds and expansion to some of their synonymous phrases. Compounds constitute a specific issue in search, in particular in languages where they are written in one word, as is the case for Danish and the other Scandinavian languages. For such languages, expansion of the query compound into separate lemmas is a way of finding the often frequent alternative synonymous phrases in which the content of a compound can also be expressed. However, it is crucial to note that the number of irrelevant hits is generally very high when using this expansion strategy. The aim of this paper is therefore to examine how we can obtain better search results on split compounds, partly by looking at the internal structure of the original compound, partly by analyzing the context in which the split compound occurs. In this context, we pursue two hypotheses: (1) that some categories of compounds are more likely to have synonymous 'split' counterparts than others; and (2) that search results where both the search words (obtained by splitting the compound) occur in the same noun phrase, are more likely to contain a synonymous phrase to the original compound query. The search results from 410 enhanced compound queries are used as a test bed for our experiments. On these search results, we perform a shallow linguistic analysis and introduce a new, linguistically based threshold for retrieved hits. The results obtained by using this strategy demonstrate that compound splitting combined with a shallow linguistic analysis focusing on the argument structure of the compound head as well as on the recognition of NPs, can improve search by substantially bringing down the number of irrelevant hits.

show abstract

Content-based text querying with ontological descriptors

Cited by 61 publications

References 8 publications

Concept Search

Concept Search

Language technology in knowledge-organization systems

Using shallow linguistic analysis to improve search on Danish compounds

Contact Info

Product

Resources

About