Papers in this group
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Existing semantic parsing research has steadily improved accuracy on a few domains and their corresponding databases. This paper introduces FreeParser, a system that trains on one domain and one set of predicate and constant symbols, and then can…
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The Web contains more text than any other source in human history, and continues to expand rapidly. Computer algorithms to process and extract knowledge from Web text have the potential not only to improve Web search, but also to collect a sizable…
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This paper presents the Cite4Me Web application and its features created for the LAK Challenge 2013. TheWeb application focuses on two main directions: (i) interlinking of the LAK dataset with related data sources from the Linked Open Data cloud;…
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The availability of large collections of linked data that can be accessed through public services and search endpoints requires methods and techniques for reducing the data complexity and providing high-level views of data contents defined according…
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A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically extract a domain specific vocabulary (terms and types) from…
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Linked data interlinking is the discovery of every owl:sameAs links between given data sources. An owl:sameAs link declares the homogeneous relation between two instances that co-refer to the same real-world object. Traditional methods compare two…
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We consider the problem of evaluating the performance of human contributors for tasks involving answering a series of questions, each of which has a single correct answer. The answers may not be known a priori. We assert that the measure of a…
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Equipping machines with knowledge, through the construction of machine- readable knowledge bases, presents a key asset for semantic search, machine translation, question answering, and other formidable challenges in artificial intelligence. However,…
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This article gives a detailed description of True Knowledge: a commercial, open-domain question-answering platform. The system com- bines a large and growing structured knowledge base of commonsense, factual, and lexical knowledge; a natural…
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Co-references are traditionally used when integrating data from different datasets. This approach has various benefits such as fault tolerance, ease of integration and traceability of provenance; however, it often results in the problem of entity…
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As part of the Linking Open Data initiative many (community) platforms have made their data freely available in recent years. In these systems valuable information from the music domain can be found. We use this data for contentbased music…
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In this paper, we describe a mechanism for ontology alignment using instance based matching of types (or classes). Instance-based matching is known to be a useful technique for matching ontologies that have different names and different structures.…
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Now that a huge amount of data is available in the Linked Data Cloud, providing techniques for its effective exploration is becoming more and more important. In this paper, we propose aggregation and abstraction techniques for thematic exploration…
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This notebook details the participation of UMass in the Cumulative Citation Recommendation task (CCR) of the TREC 2012 Knowledge Base Acceleration Track. UMass’ objective is to introduce a single model for Knowledge Base Entity Linking and KB…
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Last year’s competition demonstrated that the NER context contains important information that should not be ignored in entity linking. State-of-the-art approaches anchor on unambiguous entities, look for overlap in categories, or approximate a joint…
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As a part of LOD2 project we developed several extensions for Google Refine - a simple, yet very powerful open-source tool for working with messy data, to make LOD a first-class citizen in this tool, which is currently tightly coupled with Freebase…
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In recent years, strategies for Linked Data consumption have caught attention in Semantic Web research. For direct consumption by users, Linked Data mashups, interfaces, and visualizations have become a popular research area. Many approaches in this…
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We study the problem of automatically extracting information networks formed by recognizable entities as well as relations among them from social media sites. Our approach consists of using state-of-the-art natural language processing tools to…
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Query logs record the actual usage of search systems and their analysis has proven critical to improving search engine functionality. Yet, despite the deluge of information, query log analysis often suffers from the sparsity of the query space.…